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TensorRT-LLMs/0.19.0rc0/python-api/tensorrt_llm.layers.html
Kaiyu Xie ace2b6917b
Add multi-version documents (#3861) 
* Add 0.18.2

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

* Remove doctree

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

* Add 0.19.0rc0

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

* Add 0.20.0rc0

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

* Add latest

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

---------

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2025-04-25 10:35:43 -07:00

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<li class="toctree-l1"><a class="reference internal" href="../overview.html">Overview</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../key-features.html">Key Features</a></li>
<li class="toctree-l1"><a class="reference internal" href="../torch.html">PyTorch Backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../release-notes.html">Release Notes</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../installation/grace-hopper.html">Installing on Grace Hopper</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">LLM API</span></p>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/index.html">LLM Examples Introduction</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_guided_decoding.html">Generate text with guided decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_logits_processor.html">Control generated text using logits processor</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference.html">Generate text</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async.html">Generate Text Asynchronously</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async_streaming.html">Generate Text in Streaming</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_customize.html">Generate text with customization</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_distributed.html">Distributed LLM Generation</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_medusa_decoding.html">Generate Text Using Medusa Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_quantization.html">Generation with Quantization</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_lookahead_decoding.html">Generate Text Using Lookahead Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_eagle_decoding.html">Generate Text Using Eagle Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_kv_events.html">Get KV Cache Events</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_multilora.html">Generate text with multiple LoRA adapters</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_auto_parallel.html">Automatic Parallelism with LLM</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_llm_distributed.html">Llm Mgmn Llm Distributed</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_bench.html">Llm Mgmn Trtllm Bench</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_serve.html">Llm Mgmn Trtllm Serve</a></li>
</ul>
</details></li>
<li class="toctree-l1"><a class="reference internal" href="../examples/customization.html">LLM Common Customizations</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/llm_api_examples.html">LLM Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_guided_decoding.html">Generate text with guided decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_logits_processor.html">Control generated text using logits processor</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference.html">Generate text</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async.html">Generate Text Asynchronously</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async_streaming.html">Generate Text in Streaming</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_customize.html">Generate text with customization</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_distributed.html">Distributed LLM Generation</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_medusa_decoding.html">Generate Text Using Medusa Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_quantization.html">Generation with Quantization</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_lookahead_decoding.html">Generate Text Using Lookahead Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_eagle_decoding.html">Generate Text Using Eagle Decoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_kv_events.html">Get KV Cache Events</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_multilora.html">Generate text with multiple LoRA adapters</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_auto_parallel.html">Automatic Parallelism with LLM</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_llm_distributed.html">Llm Mgmn Llm Distributed</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_bench.html">Llm Mgmn Trtllm Bench</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_serve.html">Llm Mgmn Trtllm Serve</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/trtllm_serve_examples.html">Online Serving Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../examples/curl_chat_client.html">Curl Chat Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/curl_completion_client.html">Curl Completion Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_chat_client.html">OpenAI Chat Client</a></li>
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client.html">OpenAI Completion Client</a></li>
</ul>
</details></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Model Definition API</span></p>
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<li class="toctree-l1 current active"><a class="current reference internal" href="#">Layers</a></li>
<li class="toctree-l1"><a class="reference internal" href="tensorrt_llm.functional.html">Functionals</a></li>
<li class="toctree-l1"><a class="reference internal" href="tensorrt_llm.models.html">Models</a></li>
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<li class="toctree-l1"><a class="reference internal" href="tensorrt_llm.quantization.html">Quantization</a></li>
<li class="toctree-l1"><a class="reference internal" href="tensorrt_llm.runtime.html">Runtime</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">C++ API</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../_cpp_gen/runtime.html">Runtime</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Architecture</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../architecture/overview.html">TensorRT-LLM Architecture</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/core-concepts.html">Model Definition</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/checkpoint.html">TensorRT-LLM Checkpoint</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/workflow.html">TensorRT-LLM Build Workflow</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/add-model.html">Adding a Model</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Advanced</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="../advanced/gpt-attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/gpt-runtime.html">C++ GPT Runtime</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/executor.html">Executor API</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/graph-rewriting.html">Graph Rewriting Module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/lora.html">Run gpt-2b + LoRA using Executor / cpp runtime</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/expert-parallelism.html">Expert Parallelism in TensorRT-LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/kv-cache-reuse.html">KV cache reuse</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/speculative-decoding.html">Speculative Sampling</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/disaggregated-service.html">Disaggregated-Service (experimental)</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Performance</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../performance/perf-overview.html">Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../performance/perf-benchmarking.html">Benchmarking</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../performance/performance-tuning-guide/index.html">Performance Tuning Guide</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/benchmarking-default-performance.html">Benchmarking Default Performance</a></li>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/useful-build-time-flags.html">Useful Build-Time Flags</a></li>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/tuning-max-batch-size-and-max-num-tokens.html">Tuning Max Batch Size and Max Num Tokens</a></li>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/deciding-model-sharding-strategy.html">Deciding Model Sharding Strategy</a></li>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/fp8-quantization.html">FP8 Quantization</a></li>
<li class="toctree-l2"><a class="reference internal" href="../performance/performance-tuning-guide/useful-runtime-flags.html">Useful Runtime Options</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="../performance/perf-analysis.html">Performance Analysis</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../blogs/H200launch.html">H200 achieves nearly 12,000 tokens/sec on Llama2-13B with TensorRT-LLM</a></li>
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<section id="module-tensorrt_llm">
<span id="layers"></span><h1>Layers<a class="headerlink" href="#module-tensorrt_llm" title="Link to this heading">#</a></h1>
<section id="module-tensorrt_llm.layers.activation">
<span id="activation"></span><h2>Activation<a class="headerlink" href="#module-tensorrt_llm.layers.activation" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.activation.Mish">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.activation.</span></span><span class="sig-name descname"><span class="pre">Mish</span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/activation.html#Mish"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.activation.Mish" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.activation.Mish.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/activation.html#Mish.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.activation.Mish.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.attention">
<span id="attention"></span><h2>Attention<a class="headerlink" href="#module-tensorrt_llm.layers.attention" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">Attention</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">*,</span> <span class="pre">local_layer_idx,</span> <span class="pre">hidden_size,</span> <span class="pre">num_attention_heads,</span> <span class="pre">num_kv_heads=None,</span> <span class="pre">max_position_embeddings=1024,</span> <span class="pre">num_layers=1,</span> <span class="pre">apply_query_key_layer_scaling=False,</span> <span class="pre">attention_head_size=None,</span> <span class="pre">qk_layernorm=False,</span> <span class="pre">layernorm_type=LayerNormType.LayerNorm,</span> <span class="pre">layernorm_share=True,</span> <span class="pre">inner_layernorm=False,</span> <span class="pre">eps=1e-05,</span> <span class="pre">attention_mask_type=AttentionMaskType.padding,</span> <span class="pre">bias=True,</span> <span class="pre">dtype=None,</span> <span class="pre">position_embedding_type=PositionEmbeddingType.learned_absolute,</span> <span class="pre">rotary_embedding_base=10000.0,</span> <span class="pre">rotary_embedding_base_local=1.0,</span> <span class="pre">rotary_embedding_scaling=None,</span> <span class="pre">rotary_embedding_percentage=1.0,</span> <span class="pre">rope_scaling_short_factors=None,</span> <span class="pre">rope_scaling_long_factors=None,</span> <span class="pre">rope_scaling_short_mscale=None,</span> <span class="pre">rope_scaling_long_mscale=None,</span> <span class="pre">original_max_position_embeddings=1024,</span> <span class="pre">tp_group=None,</span> <span class="pre">tp_size=1,</span> <span class="pre">tp_rank=0,</span> <span class="pre">quant_mode:</span> <span class="pre">~tensorrt_llm.quantization.mode.QuantMode</span> <span class="pre">=</span> <span class="pre">&lt;QuantMode:</span> <span class="pre">0&gt;,</span> <span class="pre">q_scaling=1.0,</span> <span class="pre">cross_attention=False,</span> <span class="pre">relative_attention=False,</span> <span class="pre">max_distance=0,</span> <span class="pre">num_buckets=0,</span> <span class="pre">dense_bias=None,</span> <span class="pre">clip_qkv=None,</span> <span class="pre">alibi_bias_max=8,</span> <span class="pre">skip_cross_kv=False,</span> <span class="pre">max_attn_value=0.0,</span> <span class="pre">block_sparse_params=None,</span> <span class="pre">use_implicit_relative_attention=False,</span> <span class="pre">reorder=False,</span> <span class="pre">enable_qkv=True,</span> <span class="pre">cp_group=[0],</span> <span class="pre">cp_size=1,</span> <span class="pre">cp_rank=0,</span> <span class="pre">max_seqlen_for_logn_scaling=8192,</span> <span class="pre">use_logn_scaling=False,</span> <span class="pre">is_local=False</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention.create_attention_const_params">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">create_attention_const_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_cls</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention.create_attention_const_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention.create_attention_const_params" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention.fill_attention_params">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">fill_attention_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_cls</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attention_params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention.fill_attention_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention.fill_attention_params" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_packed_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_cache</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mrope_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_cache_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">encoder_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">position_embedding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_before_bmm1</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_kv_cache_gen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_kv_reuse</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">all_reduce_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.AllReduceParams" title="tensorrt_llm.functional.AllReduceParams"><span class="pre">AllReduceParams</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">skip_attn</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention.postprocess">
<span class="sig-name descname"><span class="pre">postprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tllm_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention.postprocess"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention.postprocess" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.Attention.set_rel_attn_table">
<span class="sig-name descname"><span class="pre">set_rel_attn_table</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">max_seq_len</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">precomputed_relative_attention</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#Attention.set_rel_attn_table"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.Attention.set_rel_attn_table" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionMaskParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">AttentionMaskParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">self_attention_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">self_attention_packed_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_attention_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_attention_packed_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionMaskParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionMaskParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">AttentionParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">sequence_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">context_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_context_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_context_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_request_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">encoder_input_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">encoder_max_input_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_runtime_perf_knobs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_context_progress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_long_rope">
<span class="sig-name descname"><span class="pre">fill_attention_const_params_for_long_rope</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">long_rope_embed_positions</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_inv_freq</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">long_rope_rotary_inv_freq</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions_for_gpt_attention</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">long_rope_embed_positions_for_gpt_attention</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">short_mscale</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">long_mscale</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionParams.fill_attention_const_params_for_long_rope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_long_rope" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_rope">
<span class="sig-name descname"><span class="pre">fill_attention_const_params_for_rope</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_inv_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions_for_gpt_attention</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions_local</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_inv_freq_local</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_positions_for_gpt_attention_local</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionParams.fill_attention_const_params_for_rope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_rope" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionParams.is_valid">
<span class="sig-name descname"><span class="pre">is_valid</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">gpt_attention_plugin</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">remove_input_padding</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_kv_cache</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionParams.is_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionParams.is_valid" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.AttentionParams.is_valid_cross_attn">
<span class="sig-name descname"><span class="pre">is_valid_cross_attn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">do_cross_attention</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#AttentionParams.is_valid_cross_attn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.AttentionParams.is_valid_cross_attn" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.BertAttention">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">BertAttention</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_attention_heads</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_position_embeddings=1024</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_layers=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_head_size=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_kv_heads=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">q_scaling=1.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">apply_query_key_layer_scaling=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias=True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">relative_attention=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_distance=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_buckets=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode=&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#BertAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.BertAttention" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.BertAttention.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">input_lengths</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_input_length</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#BertAttention.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.BertAttention.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.BlockSparseAttnParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">BlockSparseAttnParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">block_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">homo_head_pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_local_blocks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">vertical_stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">8</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#BlockSparseAttnParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.BlockSparseAttnParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.CogVLMAttention">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">CogVLMAttention</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">*</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">local_layer_idx</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_attention_heads</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_kv_heads=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_position_embeddings=1024</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask_type=AttentionMaskType.causal</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias=True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">position_embedding_type=PositionEmbeddingType.learned_absolute</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_base=10000.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_scaling=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode:</span> <span class="pre">~tensorrt_llm.quantization.mode.QuantMode</span> <span class="pre">=</span> <span class="pre">&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dense_bias=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#CogVLMAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.CogVLMAttention" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.attention.Attention" title="tensorrt_llm.layers.attention.Attention"><code class="xref py py-class docutils literal notranslate"><span class="pre">Attention</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.CogVLMAttention.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_cache</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_cache_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">vision_token_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">position_embedding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#CogVLMAttention.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.CogVLMAttention.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DeepseekV2Attention">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">DeepseekV2Attention</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">*</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">local_layer_idx</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_attention_heads</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">q_lora_rank</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_lora_rank</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">qk_nope_head_dim=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">qk_rope_head_dim=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">v_head_dim=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps=1e-06</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask_type=AttentionMaskType.causal</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">position_embedding_type=PositionEmbeddingType.learned_absolute</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_position_embeddings=1024</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_base=10000.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_scaling=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_beta_fast=32</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_beta_slow=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_mscale=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_mscale_all_dim=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_embedding_origin_max_position=4096</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rotary_scaling=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank=0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode:</span> <span class="pre">~tensorrt_llm.quantization.mode.QuantMode</span> <span class="pre">=</span> <span class="pre">&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DeepseekV2Attention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DeepseekV2Attention" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.attention.Attention" title="tensorrt_llm.layers.attention.Attention"><code class="xref py py-class docutils literal notranslate"><span class="pre">Attention</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DeepseekV2Attention.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_cache</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_cache_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DeepseekV2Attention.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DeepseekV2Attention.postprocess">
<span class="sig-name descname"><span class="pre">postprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tllm_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DeepseekV2Attention.postprocess"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.postprocess" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DeepseekV2Attention.weight_loader">
<span class="sig-name descname"><span class="pre">weight_loader</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Mapping</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Parameter</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">loaded_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DeepseekV2Attention.weight_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.weight_loader" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DiffusersAttention">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">DiffusersAttention</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">*</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">query_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_attention_dim:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">heads:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">8</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_heads:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_head:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">64</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dropout:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">upcast_attention:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">upcast_softmax:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_attention_norm:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_attention_norm_num_groups:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">32</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">qk_norm:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">added_kv_proj_dim:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">added_proj_bias:</span> <span class="pre">bool</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_num_groups:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spatial_norm_dim:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">scale_qk:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">only_cross_attention:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rescale_output_factor:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">residual_connection:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_dim:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_context_dim:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">context_pre_only=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pre_only=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">elementwise_affine:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_causal:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attn_forward_funcname:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'joint_attn_forward'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DiffusersAttention"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DiffusersAttention" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DiffusersAttention.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">encoder_hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_input_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DiffusersAttention.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DiffusersAttention.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.DiffusersAttention.joint_attn_forward">
<span class="sig-name descname"><span class="pre">joint_attn_forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">encoder_hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">attention_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_input_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#DiffusersAttention.joint_attn_forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.DiffusersAttention.joint_attn_forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.KeyValueCacheParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">KeyValueCacheParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">past_key_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_past_key_value_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_max_attention_window_sizes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_sink_token_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kv_cache_block_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_kv_cache_block_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_kv_cache_pool_pointers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_kv_cache_pool_mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cache_indirection</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">past_key_value_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cross_kv_cache_block_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_cross_kv_cache_block_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_cross_kv_cache_pool_pointers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">host_cross_kv_cache_pool_mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#KeyValueCacheParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.KeyValueCacheParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.KeyValueCacheParams.fill_none_tensor_list">
<span class="sig-name descname"><span class="pre">fill_none_tensor_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">list_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#KeyValueCacheParams.fill_none_tensor_list"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.fill_none_tensor_list" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.KeyValueCacheParams.get_first_past_key_value">
<span class="sig-name descname"><span class="pre">get_first_past_key_value</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#KeyValueCacheParams.get_first_past_key_value"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.get_first_past_key_value" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.KeyValueCacheParams.is_valid">
<span class="sig-name descname"><span class="pre">is_valid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gpt_attention_plugin</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#KeyValueCacheParams.is_valid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.is_valid" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.MropeParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">MropeParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">mrope_rotary_cos_sin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mrope_position_deltas</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#MropeParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.MropeParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.SpecDecodingParams">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">SpecDecodingParams</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_is_generation_length_variable</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_max_generation_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_generation_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_position_offsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_packed_mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">spec_decoding_use</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#SpecDecodingParams"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.SpecDecodingParams" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.compute_relative_bias">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">compute_relative_bias</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">query_length</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">key_length</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_buckets</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_distance</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bidirectional</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">rel_attn_table</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#compute_relative_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.compute_relative_bias" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.attention.make_causal_mask">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.attention.</span></span><span class="sig-name descname"><span class="pre">make_causal_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bsz</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tgt_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">past_key_values_length</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/attention.html#make_causal_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.attention.make_causal_mask" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</section>
<section id="module-tensorrt_llm.layers.cast">
<span id="cast"></span><h2>Cast<a class="headerlink" href="#module-tensorrt_llm.layers.cast" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.cast.Cast">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.cast.</span></span><span class="sig-name descname"><span class="pre">Cast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output_dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'float32'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/cast.html#Cast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.cast.Cast" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.cast.Cast.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/cast.html#Cast.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.cast.Cast.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.conv">
<span id="conv"></span><h2>Conv<a class="headerlink" href="#module-tensorrt_llm.layers.conv" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv1d">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.conv.</span></span><span class="sig-name descname"><span class="pre">Conv1d</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kernel_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dilation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'zeros'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv1d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv1d" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv1d.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv1d.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv1d.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv2d">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.conv.</span></span><span class="sig-name descname"><span class="pre">Conv2d</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kernel_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dilation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'zeros'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv2d" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv2d.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv2d.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv2d.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv3d">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.conv.</span></span><span class="sig-name descname"><span class="pre">Conv3d</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kernel_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dilation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'zeros'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv3d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv3d" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.Conv3d.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#Conv3d.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.Conv3d.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.ConvTranspose2d">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.conv.</span></span><span class="sig-name descname"><span class="pre">ConvTranspose2d</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">kernel_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">output_padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dilation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'zeros'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#ConvTranspose2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.ConvTranspose2d" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.conv.ConvTranspose2d.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/conv.html#ConvTranspose2d.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.conv.ConvTranspose2d.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.embedding">
<span id="embedding"></span><h2>Embedding<a class="headerlink" href="#module-tensorrt_llm.layers.embedding" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">CombinedTimestepLabelEmbeddings</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_classes</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">class_dropout_prob=0.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#CombinedTimestepLabelEmbeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">timestep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">class_labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'float32'</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#CombinedTimestepLabelEmbeddings.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">CombinedTimestepTextProjEmbeddings</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pooled_projection_dim</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#CombinedTimestepTextProjEmbeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">timestep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pooled_projection</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#CombinedTimestepTextProjEmbeddings.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Embedding">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">Embedding</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_embeddings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">sharding_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Embedding" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<p>The embedding layer takes input indices (x) and the embedding lookup table (weight) as input.
And output the corresponding embeddings according to input indices.
The size of weight is [num_embeddings, embedding_dim]</p>
<p>Four parameters (tp_size, tp_group, sharding_dim, tp_rank) are involved in tensor parallelism.
Only when “tp_size &gt; 1 and tp_group is not None”, tensor parallelism is enabled.</p>
<blockquote>
<div><dl class="simple">
<dt>When “sharding_dim == 0”, the weight is shared in the vocabulary dimension.</dt><dd><p>tp_rank must be set when sharding_dim == 0.</p>
</dd>
</dl>
<p>When “sharding_dim == 1”, the weight is shard in the hidden dimension.</p>
</div></blockquote>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Embedding.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Embedding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Embedding.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Embedding.postprocess">
<span class="sig-name descname"><span class="pre">postprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tllm_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Embedding.postprocess"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Embedding.postprocess" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Embedding.weight_loader">
<span class="sig-name descname"><span class="pre">weight_loader</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Mapping</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Parameter</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">loaded_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Embedding.weight_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Embedding.weight_loader" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.LabelEmbedding">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">LabelEmbedding</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_classes:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dropout_prob:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#LabelEmbedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.LabelEmbedding" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.LabelEmbedding.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">force_drop_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#LabelEmbedding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.LabelEmbedding.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.LabelEmbedding.token_drop">
<span class="sig-name descname"><span class="pre">token_drop</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">force_drop_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#LabelEmbedding.token_drop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.LabelEmbedding.token_drop" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.PixArtAlphaTextProjection">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">PixArtAlphaTextProjection</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">act_fn</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'gelu_tanh'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#PixArtAlphaTextProjection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.PixArtAlphaTextProjection" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<p>Projects caption embeddings. Also handles dropout for classifier-free guidance.</p>
<p>Adapted from <a class="github reference external" href="https://github.com/PixArt-alpha/PixArt-alpha/blob/master/diffusion/model/nets/PixArt_blocks.py">PixArt-alpha/PixArt-alpha</a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.PixArtAlphaTextProjection.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">caption</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#PixArtAlphaTextProjection.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.PixArtAlphaTextProjection.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.PromptTuningEmbedding">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">PromptTuningEmbedding</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_embeddings</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">vocab_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">sharding_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_rank</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#PromptTuningEmbedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.PromptTuningEmbedding" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.embedding.Embedding" title="tensorrt_llm.layers.embedding.Embedding"><code class="xref py py-class docutils literal notranslate"><span class="pre">Embedding</span></code></a></p>
<p>PromptTuningEmbedding handles fine-tuned prompts with virtual tokens. At runtime,
a supplementary embedding dictionary is passed. Tokens whose ids are &gt;= vocab_size are embedded
with that additional dictionary.
The prompt tuning dictionary holds multiple tasks, and each sequence is assigned a given task.
Prompt-tuned tokens from a given sequence use the adequate task dictionary, as defined by the <cite>tasks</cite> input.</p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.PromptTuningEmbedding.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">tokens</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">prompt_embedding_table</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tasks</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">task_vocab_size</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#PromptTuningEmbedding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.PromptTuningEmbedding.forward" title="Link to this definition">#</a></dt>
<dd><blockquote>
<div><p>Pass all tokens through both normal and prompt embedding tables.
Tokens are masked so that “normal” embedding only see “normal” tokens. Same logic for “prompt” embedding.
After those two embedding, combine results based on whether the token was “normal” or “prompt-tuned”.</p>
</div></blockquote>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>tokens</strong> – Tensor
the ids to embed, size [batch_size, seq_len]</p></li>
<li><p><strong>prompt_embedding_table</strong> – Tensor
the additional embedding table for prompt-tuned tokens, size [num_tasks * num_tokens_per_task, hidden_size]</p></li>
<li><p><strong>tasks</strong> – Tensor
the task required by each token, size [batch_size, seq_len]</p></li>
<li><p><strong>task_vocab_size</strong> – Tensor
the number of tokens used for each task, should be equal to prompt_embedding_table’s num_tokens_per_task, size [1]</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>Tokens’ embedding</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.SD3PatchEmbed">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">SD3PatchEmbed</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">height</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">224</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">224</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">768</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">layer_norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">flatten</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">interpolation_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pos_embed_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sincos'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pos_embed_max_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#SD3PatchEmbed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<p>2D Image to Patch Embedding with support for SD3 cropping.</p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.SD3PatchEmbed.cropped_pos_embed">
<span class="sig-name descname"><span class="pre">cropped_pos_embed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">height</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">width</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#SD3PatchEmbed.cropped_pos_embed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed.cropped_pos_embed" title="Link to this definition">#</a></dt>
<dd><p>Crops positional embeddings for SD3 compatibility.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.SD3PatchEmbed.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">latent</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#SD3PatchEmbed.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.TimestepEmbedding">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">TimestepEmbedding</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">time_embed_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">act_fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'silu'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">post_act_fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cond_proj_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">sample_proj_bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#TimestepEmbedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.TimestepEmbedding" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.TimestepEmbedding.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">condition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#TimestepEmbedding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.TimestepEmbedding.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Timesteps">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">Timesteps</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">flip_sin_to_cos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">downscale_freq_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Timesteps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Timesteps" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.Timesteps.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timesteps</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#Timesteps.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.Timesteps.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.get_1d_sincos_pos_embed_from_grid">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">get_1d_sincos_pos_embed_from_grid</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#get_1d_sincos_pos_embed_from_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.get_1d_sincos_pos_embed_from_grid" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">get_2d_sincos_pos_embed</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">grid_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">cls_token</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">extra_tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">interpolation_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">base_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#get_2d_sincos_pos_embed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed_from_grid">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">get_2d_sincos_pos_embed_from_grid</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embed_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#get_2d_sincos_pos_embed_from_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed_from_grid" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.embedding.get_timestep_embedding">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.embedding.</span></span><span class="sig-name descname"><span class="pre">get_timestep_embedding</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">timesteps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">flip_sin_to_cos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">downscale_freq_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">max_period</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/embedding.html#get_timestep_embedding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.embedding.get_timestep_embedding" title="Link to this definition">#</a></dt>
<dd><p>This matches the implementation in Denoising Diffusion Probabilistic Models: Create sinusoidal timestep embeddings.</p>
<dl class="simple">
<dt>Args</dt><dd><dl class="simple">
<dt>timesteps (Tensor):</dt><dd><p>a 1-D Tensor of N indices, one per batch element. These may be fractional.</p>
</dd>
<dt>embedding_dim (int):</dt><dd><p>the dimension of the output.</p>
</dd>
<dt>flip_sin_to_cos (bool):</dt><dd><p>Whether the embedding order should be <cite>cos, sin</cite> (if True) or <cite>sin, cos</cite> (if False)</p>
</dd>
<dt>downscale_freq_shift (float):</dt><dd><p>Controls the delta between frequencies between dimensions</p>
</dd>
<dt>scale (float):</dt><dd><p>Scaling factor applied to the embeddings.</p>
</dd>
<dt>max_period (int):</dt><dd><p>Controls the maximum frequency of the embeddings</p>
</dd>
</dl>
</dd>
<dt>Returns</dt><dd><p>Tensor: an [N x dim] Tensor of positional embeddings.</p>
</dd>
</dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.linear">
<span id="linear"></span><h2>Linear<a class="headerlink" href="#module-tensorrt_llm.layers.linear" title="Link to this heading">#</a></h2>
<dl class="py attribute">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.ColumnLinear">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.linear.</span></span><span class="sig-name descname"><span class="pre">ColumnLinear</span></span><a class="headerlink" href="#tensorrt_llm.layers.linear.ColumnLinear" title="Link to this definition">#</a></dt>
<dd><p>alias of <a class="reference internal" href="#tensorrt_llm.layers.linear.Linear" title="tensorrt_llm.layers.linear.Linear"><code class="xref py py-class docutils literal notranslate"><span class="pre">Linear</span></code></a></p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.Linear">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.linear.</span></span><span class="sig-name descname"><span class="pre">Linear</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">gather_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">share_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">strict_dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pad_lda</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pad_ldc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">prefer_managed_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_qkv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#Linear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.Linear" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.linear.LinearBase" title="tensorrt_llm.layers.linear.LinearBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearBase</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.Linear.collect_and_bias">
<span class="sig-name descname"><span class="pre">collect_and_bias</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#Linear.collect_and_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.Linear.collect_and_bias" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.Linear.postprocess">
<span class="sig-name descname"><span class="pre">postprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tllm_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#Linear.postprocess"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.Linear.postprocess" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.Linear.tp_split_dim">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tp_split_dim</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#Linear.tp_split_dim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.Linear.tp_split_dim" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.linear.</span></span><span class="sig-name descname"><span class="pre">LinearBase</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">local_in_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">local_out_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">share_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">strict_dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pad_lda</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pad_ldc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">prefer_managed_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.collect_and_bias">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">collect_and_bias</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.collect_and_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.collect_and_bias" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_runtime_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">LoraRuntimeParams</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_hidden_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.get_weight">
<span class="sig-name descname"><span class="pre">get_weight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.get_weight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.get_weight" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.multiply_and_lora">
<span class="sig-name descname"><span class="pre">multiply_and_lora</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">weight</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">low_latency_gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_fp8</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_runtime_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">LoraRuntimeParams</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_hidden_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.multiply_and_lora"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.multiply_and_lora" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.multiply_collect">
<span class="sig-name descname"><span class="pre">multiply_collect</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">weight</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">low_latency_gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_fp8</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_runtime_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">LoraRuntimeParams</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_hidden_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.multiply_collect"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.multiply_collect" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.tp_split_dim">
<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tp_split_dim</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.tp_split_dim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.tp_split_dim" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.LinearBase.weight_loader">
<span class="sig-name descname"><span class="pre">weight_loader</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Mapping</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Parameter</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">loaded_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#LinearBase.weight_loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.LinearBase.weight_loader" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.RowLinear">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.linear.</span></span><span class="sig-name descname"><span class="pre">RowLinear</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">in_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">out_features</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">strict_dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">pad_lda</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">prefer_managed_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_expert</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#RowLinear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.RowLinear" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.linear.LinearBase" title="tensorrt_llm.layers.linear.LinearBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearBase</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.RowLinear.collect_and_bias">
<span class="sig-name descname"><span class="pre">collect_and_bias</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#RowLinear.collect_and_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.RowLinear.collect_and_bias" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.RowLinear.multiply_collect">
<span class="sig-name descname"><span class="pre">multiply_collect</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">weight</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">low_latency_gemm_plugin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">use_fp8</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_runtime_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">LoraRuntimeParams</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_hidden_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#RowLinear.multiply_collect"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.RowLinear.multiply_collect" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.linear.RowLinear.tp_split_dim">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tp_split_dim</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="reference internal" href="../_modules/tensorrt_llm/layers/linear.html#RowLinear.tp_split_dim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.linear.RowLinear.tp_split_dim" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.mlp">
<span id="mlp"></span><h2>MLP<a class="headerlink" href="#module-tensorrt_llm.layers.mlp" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.FusedGatedMLP">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">FusedGatedMLP</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">ffn_hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_act</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias=True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode=&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">inner_layernorm=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps=1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_expert=False</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#FusedGatedMLP"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.FusedGatedMLP" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate">
<span class="sig-name descname"><span class="pre">fc_gate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#FusedGatedMLP.fc_gate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate_plugin">
<span class="sig-name descname"><span class="pre">fc_gate_plugin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#FusedGatedMLP.fc_gate_plugin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate_plugin" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.FusedGatedMLP.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">all_reduce_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.AllReduceParams" title="tensorrt_llm.functional.AllReduceParams"><span class="pre">AllReduceParams</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#FusedGatedMLP.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.GatedMLP">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">GatedMLP</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">ffn_hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_act</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias=True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode=&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">inner_layernorm=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps=1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_expert=False</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#GatedMLP"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.GatedMLP" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="#tensorrt_llm.layers.mlp.MLP" title="tensorrt_llm.layers.mlp.MLP"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLP</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.GatedMLP.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">all_reduce_params</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.AllReduceParams" title="tensorrt_llm.functional.AllReduceParams"><span class="pre">AllReduceParams</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#GatedMLP.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.GatedMLP.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearActivation">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">LinearActivation</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_in:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_out:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">activation:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'silu'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearActivation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearActivation" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearActivation.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearActivation.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearActivation.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearApproximateGELU">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">LinearApproximateGELU</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_in:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_out:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearApproximateGELU"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearApproximateGELU" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearApproximateGELU.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearApproximateGELU.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearApproximateGELU.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearGEGLU">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">LinearGEGLU</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_in:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_out:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">approximate:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'tanh'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearGEGLU"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearGEGLU" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearGEGLU.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearGEGLU.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearGEGLU.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearGELU">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">LinearGELU</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_in:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_out:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">approximate:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'tanh'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearGELU"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearGELU" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearGELU.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearGELU.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearGELU.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearSwiGLU">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">LinearSwiGLU</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_in:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dim_out:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearSwiGLU"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearSwiGLU" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.LinearSwiGLU.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#LinearSwiGLU.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.LinearSwiGLU.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.MLP">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">MLP</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">ffn_hidden_size</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_act</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias=True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_group=None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size=1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">quant_mode=&lt;QuantMode:</span> <span class="pre">0&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">inner_layernorm=False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps=1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">is_expert=False</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#MLP"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.MLP" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.MLP.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gegelu_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#MLP.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.MLP.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.fc_gate_dora">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">fc_gate_dora</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dora</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">fused_gate_up_dora</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#fc_gate_dora"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.fc_gate_dora" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="tensorrt_llm.layers.mlp.fc_gate_lora">
<span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.mlp.</span></span><span class="sig-name descname"><span class="pre">fc_gate_lora</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">fused_gate_up_lora</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">lora_layer_params</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/mlp.html#fc_gate_lora"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.mlp.fc_gate_lora" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</section>
<section id="module-tensorrt_llm.layers.normalization">
<span id="normalization"></span><h2>Normalization<a class="headerlink" href="#module-tensorrt_llm.layers.normalization" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNorm">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">AdaLayerNorm</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_embeddings:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">output_dim:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_elementwise_affine:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_eps:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">chunk_dim:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNorm"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNorm" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNorm.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">timestep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">temb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNorm.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNorm.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormContinuous">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">AdaLayerNormContinuous</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">conditioning_embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">elementwise_affine:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_type:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'layer_norm'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormContinuous"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormContinuous" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormContinuous.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">conditioning_embedding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormContinuous.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormContinuous.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormZero">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">AdaLayerNormZero</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_embeddings:</span> <span class="pre">int</span> <span class="pre">|</span> <span class="pre">None</span> <span class="pre">=</span> <span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_type:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'layer_norm'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormZero"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormZero" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormZero.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">timestep</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">class_labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormZero.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormZero.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">AdaLayerNormZeroSingle</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_type:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'layer_norm'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormZeroSingle"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#AdaLayerNormZeroSingle.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.GroupNorm">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">GroupNorm</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">num_groups</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_channels</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">affine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#GroupNorm"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.GroupNorm" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.GroupNorm.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#GroupNorm.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.GroupNorm.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.LayerNorm">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">LayerNorm</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">normalized_shape</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-05</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">elementwise_affine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">tp_dim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#LayerNorm"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.LayerNorm" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.LayerNorm.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#LayerNorm.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.LayerNorm.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.RmsNorm">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">RmsNorm</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">normalized_shape</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">num_groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-06</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">elementwise_affine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#RmsNorm"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.RmsNorm" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.RmsNorm.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#RmsNorm.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.RmsNorm.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.normalization.</span></span><span class="sig-name descname"><span class="pre">SD35AdaLayerNormZeroX</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">embedding_dim:</span> <span class="pre">int</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">norm_type:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'layer_norm'</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">bias:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">mapping=&lt;tensorrt_llm.mapping.Mapping</span> <span class="pre">object&gt;</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#SD35AdaLayerNormZeroX"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">hidden_states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">emb</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="tensorrt_llm.functional.html#tensorrt_llm.functional.Tensor" title="tensorrt_llm.functional.Tensor"><span class="pre">Tensor</span></a></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/normalization.html#SD35AdaLayerNormZeroX.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
<section id="module-tensorrt_llm.layers.pooling">
<span id="pooling"></span><h2>Pooling<a class="headerlink" href="#module-tensorrt_llm.layers.pooling" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="tensorrt_llm.layers.pooling.AvgPool2d">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">tensorrt_llm.layers.pooling.</span></span><span class="sig-name descname"><span class="pre">AvgPool2d</span></span><span class="sig-paren">(</span>
<dl>
<dd><em class="sig-param"><span class="n"><span class="pre">kernel_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">stride</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">ceil_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>,</dd>
<dd><em class="sig-param"><span class="n"><span class="pre">count_include_pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>,</dd>
</dl>
<span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/pooling.html#AvgPool2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.pooling.AvgPool2d" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="tensorrt_llm.layers.pooling.AvgPool2d.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/tensorrt_llm/layers/pooling.html#AvgPool2d.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#tensorrt_llm.layers.pooling.AvgPool2d.forward" title="Link to this definition">#</a></dt>
<dd></dd></dl>
</dd></dl>
</section>
</section>
</article>
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<ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.activation">Activation</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.activation.Mish"><code class="docutils literal notranslate"><span class="pre">Mish</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.activation.Mish.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.attention">Attention</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention"><code class="docutils literal notranslate"><span class="pre">Attention</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention.create_attention_const_params"><code class="docutils literal notranslate"><span class="pre">create_attention_const_params()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention.fill_attention_params"><code class="docutils literal notranslate"><span class="pre">fill_attention_params()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention.postprocess"><code class="docutils literal notranslate"><span class="pre">postprocess()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.Attention.set_rel_attn_table"><code class="docutils literal notranslate"><span class="pre">set_rel_attn_table()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionMaskParams"><code class="docutils literal notranslate"><span class="pre">AttentionMaskParams</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionParams"><code class="docutils literal notranslate"><span class="pre">AttentionParams</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_long_rope"><code class="docutils literal notranslate"><span class="pre">fill_attention_const_params_for_long_rope()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionParams.fill_attention_const_params_for_rope"><code class="docutils literal notranslate"><span class="pre">fill_attention_const_params_for_rope()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionParams.is_valid"><code class="docutils literal notranslate"><span class="pre">is_valid()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.AttentionParams.is_valid_cross_attn"><code class="docutils literal notranslate"><span class="pre">is_valid_cross_attn()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.BertAttention"><code class="docutils literal notranslate"><span class="pre">BertAttention</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.BertAttention.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.BlockSparseAttnParams"><code class="docutils literal notranslate"><span class="pre">BlockSparseAttnParams</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.CogVLMAttention"><code class="docutils literal notranslate"><span class="pre">CogVLMAttention</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.CogVLMAttention.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DeepseekV2Attention"><code class="docutils literal notranslate"><span class="pre">DeepseekV2Attention</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.postprocess"><code class="docutils literal notranslate"><span class="pre">postprocess()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DeepseekV2Attention.weight_loader"><code class="docutils literal notranslate"><span class="pre">weight_loader()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DiffusersAttention"><code class="docutils literal notranslate"><span class="pre">DiffusersAttention</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DiffusersAttention.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.DiffusersAttention.joint_attn_forward"><code class="docutils literal notranslate"><span class="pre">joint_attn_forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.KeyValueCacheParams"><code class="docutils literal notranslate"><span class="pre">KeyValueCacheParams</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.fill_none_tensor_list"><code class="docutils literal notranslate"><span class="pre">fill_none_tensor_list()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.get_first_past_key_value"><code class="docutils literal notranslate"><span class="pre">get_first_past_key_value()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.KeyValueCacheParams.is_valid"><code class="docutils literal notranslate"><span class="pre">is_valid()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.MropeParams"><code class="docutils literal notranslate"><span class="pre">MropeParams</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.SpecDecodingParams"><code class="docutils literal notranslate"><span class="pre">SpecDecodingParams</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.compute_relative_bias"><code class="docutils literal notranslate"><span class="pre">compute_relative_bias()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.attention.make_causal_mask"><code class="docutils literal notranslate"><span class="pre">make_causal_mask()</span></code></a></li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.cast">Cast</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.cast.Cast"><code class="docutils literal notranslate"><span class="pre">Cast</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.cast.Cast.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.conv">Conv</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv1d"><code class="docutils literal notranslate"><span class="pre">Conv1d</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv1d.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv2d"><code class="docutils literal notranslate"><span class="pre">Conv2d</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv2d.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv3d"><code class="docutils literal notranslate"><span class="pre">Conv3d</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.Conv3d.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.ConvTranspose2d"><code class="docutils literal notranslate"><span class="pre">ConvTranspose2d</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.conv.ConvTranspose2d.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.embedding">Embedding</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings"><code class="docutils literal notranslate"><span class="pre">CombinedTimestepLabelEmbeddings</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.CombinedTimestepLabelEmbeddings.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings"><code class="docutils literal notranslate"><span class="pre">CombinedTimestepTextProjEmbeddings</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.CombinedTimestepTextProjEmbeddings.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Embedding"><code class="docutils literal notranslate"><span class="pre">Embedding</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Embedding.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Embedding.postprocess"><code class="docutils literal notranslate"><span class="pre">postprocess()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Embedding.weight_loader"><code class="docutils literal notranslate"><span class="pre">weight_loader()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.LabelEmbedding"><code class="docutils literal notranslate"><span class="pre">LabelEmbedding</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.LabelEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.LabelEmbedding.token_drop"><code class="docutils literal notranslate"><span class="pre">token_drop()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.PixArtAlphaTextProjection"><code class="docutils literal notranslate"><span class="pre">PixArtAlphaTextProjection</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.PixArtAlphaTextProjection.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.PromptTuningEmbedding"><code class="docutils literal notranslate"><span class="pre">PromptTuningEmbedding</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.PromptTuningEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed"><code class="docutils literal notranslate"><span class="pre">SD3PatchEmbed</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed.cropped_pos_embed"><code class="docutils literal notranslate"><span class="pre">cropped_pos_embed()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.SD3PatchEmbed.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.TimestepEmbedding"><code class="docutils literal notranslate"><span class="pre">TimestepEmbedding</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.TimestepEmbedding.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Timesteps"><code class="docutils literal notranslate"><span class="pre">Timesteps</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.Timesteps.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.get_1d_sincos_pos_embed_from_grid"><code class="docutils literal notranslate"><span class="pre">get_1d_sincos_pos_embed_from_grid()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed"><code class="docutils literal notranslate"><span class="pre">get_2d_sincos_pos_embed()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.get_2d_sincos_pos_embed_from_grid"><code class="docutils literal notranslate"><span class="pre">get_2d_sincos_pos_embed_from_grid()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.embedding.get_timestep_embedding"><code class="docutils literal notranslate"><span class="pre">get_timestep_embedding()</span></code></a></li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.linear">Linear</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.ColumnLinear"><code class="docutils literal notranslate"><span class="pre">ColumnLinear</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.Linear"><code class="docutils literal notranslate"><span class="pre">Linear</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.Linear.collect_and_bias"><code class="docutils literal notranslate"><span class="pre">collect_and_bias()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.Linear.postprocess"><code class="docutils literal notranslate"><span class="pre">postprocess()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.Linear.tp_split_dim"><code class="docutils literal notranslate"><span class="pre">tp_split_dim()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase"><code class="docutils literal notranslate"><span class="pre">LinearBase</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.collect_and_bias"><code class="docutils literal notranslate"><span class="pre">collect_and_bias()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.get_weight"><code class="docutils literal notranslate"><span class="pre">get_weight()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.multiply_and_lora"><code class="docutils literal notranslate"><span class="pre">multiply_and_lora()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.multiply_collect"><code class="docutils literal notranslate"><span class="pre">multiply_collect()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.tp_split_dim"><code class="docutils literal notranslate"><span class="pre">tp_split_dim()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.LinearBase.weight_loader"><code class="docutils literal notranslate"><span class="pre">weight_loader()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.RowLinear"><code class="docutils literal notranslate"><span class="pre">RowLinear</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.RowLinear.collect_and_bias"><code class="docutils literal notranslate"><span class="pre">collect_and_bias()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.RowLinear.multiply_collect"><code class="docutils literal notranslate"><span class="pre">multiply_collect()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.linear.RowLinear.tp_split_dim"><code class="docutils literal notranslate"><span class="pre">tp_split_dim()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.mlp">MLP</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.FusedGatedMLP"><code class="docutils literal notranslate"><span class="pre">FusedGatedMLP</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate"><code class="docutils literal notranslate"><span class="pre">fc_gate()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.fc_gate_plugin"><code class="docutils literal notranslate"><span class="pre">fc_gate_plugin()</span></code></a></li>
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.FusedGatedMLP.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.GatedMLP"><code class="docutils literal notranslate"><span class="pre">GatedMLP</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.GatedMLP.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearActivation"><code class="docutils literal notranslate"><span class="pre">LinearActivation</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearActivation.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearApproximateGELU"><code class="docutils literal notranslate"><span class="pre">LinearApproximateGELU</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearApproximateGELU.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearGEGLU"><code class="docutils literal notranslate"><span class="pre">LinearGEGLU</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearGEGLU.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearGELU"><code class="docutils literal notranslate"><span class="pre">LinearGELU</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearGELU.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearSwiGLU"><code class="docutils literal notranslate"><span class="pre">LinearSwiGLU</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.LinearSwiGLU.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.MLP"><code class="docutils literal notranslate"><span class="pre">MLP</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.MLP.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.fc_gate_dora"><code class="docutils literal notranslate"><span class="pre">fc_gate_dora()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.mlp.fc_gate_lora"><code class="docutils literal notranslate"><span class="pre">fc_gate_lora()</span></code></a></li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.normalization">Normalization</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNorm"><code class="docutils literal notranslate"><span class="pre">AdaLayerNorm</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNorm.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormContinuous"><code class="docutils literal notranslate"><span class="pre">AdaLayerNormContinuous</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormContinuous.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormZero"><code class="docutils literal notranslate"><span class="pre">AdaLayerNormZero</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormZero.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle"><code class="docutils literal notranslate"><span class="pre">AdaLayerNormZeroSingle</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.AdaLayerNormZeroSingle.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.GroupNorm"><code class="docutils literal notranslate"><span class="pre">GroupNorm</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.GroupNorm.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.LayerNorm"><code class="docutils literal notranslate"><span class="pre">LayerNorm</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.LayerNorm.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.RmsNorm"><code class="docutils literal notranslate"><span class="pre">RmsNorm</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.RmsNorm.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX"><code class="docutils literal notranslate"><span class="pre">SD35AdaLayerNormZeroX</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.normalization.SD35AdaLayerNormZeroX.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-tensorrt_llm.layers.pooling">Pooling</a><ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.pooling.AvgPool2d"><code class="docutils literal notranslate"><span class="pre">AvgPool2d</span></code></a><ul class="nav section-nav flex-column">
<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#tensorrt_llm.layers.pooling.AvgPool2d.forward"><code class="docutils literal notranslate"><span class="pre">forward()</span></code></a></li>
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