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<h1>Source code for tensorrt_llm.models.phi.model</h1><div class="highlight"><pre>
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<span></span><span class="c1"># SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.</span>
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<span class="c1"># SPDX-License-Identifier: Apache-2.0</span>
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<span class="c1">#</span>
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<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
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<span class="c1"># you may not use this file except in compliance with the License.</span>
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<span class="c1"># You may obtain a copy of the License at</span>
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<span class="c1">#</span>
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<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
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<span class="c1">#</span>
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<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
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<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
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<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
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<span class="c1"># See the License for the specific language governing permissions and</span>
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<span class="c1"># limitations under the License.</span>
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<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
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<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">AutoModelForCausalLM</span>
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<span class="kn">from</span> <span class="nn">..._utils</span> <span class="kn">import</span> <span class="n">pad_vocab_size</span>
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<span class="kn">from</span> <span class="nn">...functional</span> <span class="kn">import</span> <span class="n">Tensor</span>
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<span class="kn">from</span> <span class="nn">...layers</span> <span class="kn">import</span> <span class="p">(</span><span class="n">MLP</span><span class="p">,</span> <span class="n">Attention</span><span class="p">,</span> <span class="n">AttentionMaskType</span><span class="p">,</span> <span class="n">ColumnLinear</span><span class="p">,</span>
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<span class="n">Embedding</span><span class="p">,</span> <span class="n">LayerNorm</span><span class="p">)</span>
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<span class="kn">from</span> <span class="nn">...mapping</span> <span class="kn">import</span> <span class="n">Mapping</span>
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<span class="kn">from</span> <span class="nn">...module</span> <span class="kn">import</span> <span class="n">Module</span>
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<span class="kn">from</span> <span class="nn">..modeling_utils</span> <span class="kn">import</span> <span class="p">(</span><span class="n">DecoderLayerList</span><span class="p">,</span> <span class="n">DecoderModelForCausalLM</span><span class="p">,</span>
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<span class="n">PretrainedConfig</span><span class="p">,</span> <span class="n">QuantConfig</span><span class="p">)</span>
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<span class="kn">from</span> <span class="nn">.config</span> <span class="kn">import</span> <span class="n">PhiConfig</span>
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<span class="kn">from</span> <span class="nn">.convert</span> <span class="kn">import</span> <span class="n">load_weights_from_hf_model</span>
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<span class="k">class</span> <span class="nc">PhiDecoderLayer</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span>
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<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">:</span> <span class="n">PretrainedConfig</span><span class="p">,</span> <span class="n">layer_idx</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
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<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">config</span> <span class="o">=</span> <span class="n">config</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">layer_idx</span> <span class="o">=</span> <span class="n">layer_idx</span>
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<span class="n">tp_group</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_group</span>
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<span class="n">tp_size</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_size</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">input_layernorm</span> <span class="o">=</span> <span class="n">LayerNorm</span><span class="p">(</span><span class="n">normalized_shape</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
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<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
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<span class="n">layers_range</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">pp_layers</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">num_hidden_layers</span><span class="p">)</span>
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<span class="n">local_layer_idx</span> <span class="o">=</span> <span class="n">layer_idx</span> <span class="o">-</span> <span class="n">layers_range</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">attention</span> <span class="o">=</span> <span class="n">Attention</span><span class="p">(</span>
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<span class="n">local_layer_idx</span><span class="o">=</span><span class="n">local_layer_idx</span><span class="p">,</span>
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<span class="n">hidden_size</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
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<span class="n">num_attention_heads</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">num_attention_heads</span><span class="p">,</span>
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<span class="n">rotary_embedding_percentage</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">rotary_pct</span><span class="p">,</span>
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<span class="n">position_embedding_type</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">position_embedding_type</span><span class="p">,</span>
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<span class="n">rotary_embedding_base</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">rotary_base</span><span class="p">,</span>
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<span class="n">max_position_embeddings</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">max_position_embeddings</span><span class="p">,</span>
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<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
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<span class="n">attention_mask_type</span><span class="o">=</span><span class="n">AttentionMaskType</span><span class="o">.</span><span class="n">causal</span><span class="p">,</span>
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<span class="n">bias</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
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<span class="n">tp_group</span><span class="o">=</span><span class="n">tp_group</span><span class="p">,</span>
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<span class="n">tp_size</span><span class="o">=</span><span class="n">tp_size</span><span class="p">,</span>
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<span class="n">quant_mode</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">mlp</span> <span class="o">=</span> <span class="n">MLP</span><span class="p">(</span><span class="n">hidden_size</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
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<span class="n">ffn_hidden_size</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">intermediate_size</span><span class="p">,</span>
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|
<span class="n">hidden_act</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_act</span><span class="p">,</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
|
|
<span class="n">tp_group</span><span class="o">=</span><span class="n">tp_group</span><span class="p">,</span>
|
|
<span class="n">tp_size</span><span class="o">=</span><span class="n">tp_size</span><span class="p">,</span>
|
|
<span class="n">quant_mode</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="p">)</span>
|
|
|
|
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span>
|
|
<span class="bp">self</span><span class="p">,</span>
|
|
<span class="n">hidden_states</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
|
|
<span class="n">attention_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">use_cache</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
|
|
<span class="n">kv_cache_params</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">attention_params</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="p">):</span>
|
|
<span class="n">residual</span> <span class="o">=</span> <span class="n">hidden_states</span>
|
|
|
|
<span class="n">input_layernorm_output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_layernorm</span><span class="p">(</span><span class="n">hidden_states</span><span class="p">)</span>
|
|
|
|
<span class="n">attention_output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">attention</span><span class="p">(</span>
|
|
<span class="n">input_layernorm_output</span><span class="p">,</span>
|
|
<span class="n">attention_mask</span><span class="o">=</span><span class="n">attention_mask</span><span class="p">,</span>
|
|
<span class="n">use_cache</span><span class="o">=</span><span class="n">use_cache</span><span class="p">,</span>
|
|
<span class="n">kv_cache_params</span><span class="o">=</span><span class="n">kv_cache_params</span><span class="p">,</span>
|
|
<span class="n">attention_params</span><span class="o">=</span><span class="n">attention_params</span><span class="p">,</span>
|
|
<span class="n">norm_before_bmm1</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="k">if</span> <span class="n">use_cache</span><span class="p">:</span>
|
|
<span class="n">attention_output</span><span class="p">,</span> <span class="n">presents</span> <span class="o">=</span> <span class="n">attention_output</span>
|
|
|
|
<span class="n">feed_forward_hidden_states</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mlp</span><span class="p">(</span><span class="n">input_layernorm_output</span><span class="p">,</span> <span class="p">)</span>
|
|
<span class="n">hidden_states</span> <span class="o">=</span> <span class="n">attention_output</span> <span class="o">+</span> <span class="n">feed_forward_hidden_states</span> <span class="o">+</span> <span class="n">residual</span>
|
|
<span class="k">if</span> <span class="n">use_cache</span><span class="p">:</span>
|
|
<span class="k">return</span> <span class="p">(</span><span class="n">hidden_states</span><span class="p">,</span> <span class="n">presents</span><span class="p">)</span>
|
|
<span class="k">return</span> <span class="n">hidden_states</span>
|
|
|
|
|
|
<div class="viewcode-block" id="PhiModel">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.PhiModel">[docs]</a>
|
|
<span class="k">class</span> <span class="nc">PhiModel</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span>
|
|
|
|
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">:</span> <span class="n">PretrainedConfig</span><span class="p">):</span>
|
|
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
|
<span class="bp">self</span><span class="o">.</span><span class="n">vocab_embedding</span> <span class="o">=</span> <span class="n">Embedding</span><span class="p">(</span><span class="n">num_embeddings</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">vocab_size</span><span class="p">,</span>
|
|
<span class="n">embedding_dim</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
|
|
|
|
<span class="bp">self</span><span class="o">.</span><span class="n">layers</span> <span class="o">=</span> <span class="n">DecoderLayerList</span><span class="p">(</span><span class="n">PhiDecoderLayer</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
|
|
<span class="bp">self</span><span class="o">.</span><span class="n">ln_f</span> <span class="o">=</span> <span class="n">LayerNorm</span><span class="p">(</span><span class="n">normalized_shape</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
|
|
|
|
<div class="viewcode-block" id="PhiModel.forward">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.PhiModel.forward">[docs]</a>
|
|
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span>
|
|
<span class="bp">self</span><span class="p">,</span>
|
|
<span class="n">input_ids</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
|
|
<span class="n">position_ids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">use_cache</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
|
|
<span class="n">attention_mask</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">kv_cache_params</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">attention_params</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">prompt_embedding_table</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">prompt_tasks</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">prompt_vocab_size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="p">):</span>
|
|
<span class="n">args</span> <span class="o">=</span> <span class="p">[</span><span class="n">prompt_embedding_table</span><span class="p">,</span> <span class="n">prompt_tasks</span><span class="p">,</span> <span class="n">prompt_vocab_size</span>
|
|
<span class="p">]</span> <span class="k">if</span> <span class="n">prompt_embedding_table</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">[]</span>
|
|
<span class="n">hidden_states</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">vocab_embedding</span><span class="p">(</span><span class="n">input_ids</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">)</span>
|
|
|
|
<span class="n">hidden_states</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">layers</span><span class="p">(</span>
|
|
<span class="n">hidden_states</span><span class="p">,</span>
|
|
<span class="n">use_cache</span><span class="o">=</span><span class="n">use_cache</span><span class="p">,</span>
|
|
<span class="n">attention_mask</span><span class="o">=</span><span class="n">attention_mask</span><span class="p">,</span>
|
|
<span class="n">kv_cache_params</span><span class="o">=</span><span class="n">kv_cache_params</span><span class="p">,</span>
|
|
<span class="n">attention_params</span><span class="o">=</span><span class="n">attention_params</span><span class="p">,</span>
|
|
<span class="p">)</span>
|
|
<span class="k">if</span> <span class="n">use_cache</span><span class="p">:</span>
|
|
<span class="n">hidden_states</span><span class="p">,</span> <span class="n">presents</span> <span class="o">=</span> <span class="n">hidden_states</span>
|
|
|
|
<span class="n">hidden_states</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ln_f</span><span class="p">(</span><span class="n">hidden_states</span><span class="p">)</span>
|
|
|
|
<span class="k">if</span> <span class="n">use_cache</span><span class="p">:</span>
|
|
<span class="k">return</span> <span class="p">(</span><span class="n">hidden_states</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">presents</span><span class="p">))</span>
|
|
<span class="k">return</span> <span class="n">hidden_states</span></div>
|
|
</div>
|
|
|
|
|
|
|
|
<div class="viewcode-block" id="PhiForCausalLM">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.PhiForCausalLM">[docs]</a>
|
|
<span class="k">class</span> <span class="nc">PhiForCausalLM</span><span class="p">(</span><span class="n">DecoderModelForCausalLM</span><span class="p">):</span>
|
|
<span class="n">config_class</span> <span class="o">=</span> <span class="n">PhiConfig</span>
|
|
|
|
<span class="n">config_class</span> <span class="o">=</span> <span class="n">PhiConfig</span>
|
|
|
|
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">:</span> <span class="n">PretrainedConfig</span><span class="p">):</span>
|
|
<span class="bp">self</span><span class="o">.</span><span class="n">check_config</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
|
|
<span class="n">transformer</span> <span class="o">=</span> <span class="n">PhiModel</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
|
|
<span class="n">vocab_size_padded</span> <span class="o">=</span> <span class="n">pad_vocab_size</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">vocab_size</span><span class="p">,</span>
|
|
<span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_size</span><span class="p">)</span>
|
|
|
|
<span class="n">lm_head</span> <span class="o">=</span> <span class="n">ColumnLinear</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
|
|
<span class="n">vocab_size_padded</span><span class="p">,</span>
|
|
<span class="n">bias</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
|
|
<span class="n">tp_group</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_group</span><span class="p">,</span>
|
|
<span class="n">tp_size</span><span class="o">=</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_size</span><span class="p">,</span>
|
|
<span class="n">gather_output</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
|
|
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">transformer</span><span class="p">,</span> <span class="n">lm_head</span><span class="p">)</span>
|
|
|
|
<div class="viewcode-block" id="PhiForCausalLM.check_config">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.PhiForCausalLM.check_config">[docs]</a>
|
|
<span class="k">def</span> <span class="nf">check_config</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
|
|
<span class="n">config</span><span class="o">.</span><span class="n">set_if_not_exist</span><span class="p">(</span><span class="s1">'partial_rotary_factor'</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">)</span>
|
|
<span class="n">config</span><span class="o">.</span><span class="n">set_if_not_exist</span><span class="p">(</span><span class="s1">'rotary_base'</span><span class="p">,</span> <span class="mf">10000.0</span><span class="p">)</span></div>
|
|
|
|
|
|
<div class="viewcode-block" id="PhiForCausalLM.from_hugging_face">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.PhiForCausalLM.from_hugging_face">[docs]</a>
|
|
<span class="nd">@classmethod</span>
|
|
<span class="k">def</span> <span class="nf">from_hugging_face</span><span class="p">(</span>
|
|
<span class="bp">cls</span><span class="p">,</span>
|
|
<span class="n">hf_model_or_dir</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="s1">'transformers.PreTrainedModel'</span><span class="p">],</span>
|
|
<span class="n">dtype</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'auto'</span><span class="p">,</span>
|
|
<span class="n">mapping</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Mapping</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">quant_config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">QuantConfig</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
|
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
|
<span class="kn">import</span> <span class="nn">transformers</span>
|
|
|
|
<span class="k">assert</span> <span class="n">hf_model_or_dir</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
|
|
<span class="n">use_preloading</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">hf_model_or_dir</span><span class="p">,</span>
|
|
<span class="n">transformers</span><span class="o">.</span><span class="n">PreTrainedModel</span><span class="p">)</span>
|
|
<span class="k">if</span> <span class="n">use_preloading</span><span class="p">:</span>
|
|
<span class="n">hf_model</span> <span class="o">=</span> <span class="n">hf_model_or_dir</span>
|
|
<span class="n">hf_config_or_dir</span> <span class="o">=</span> <span class="n">hf_model</span><span class="o">.</span><span class="n">config</span>
|
|
<span class="k">else</span><span class="p">:</span>
|
|
<span class="n">hf_model_dir</span> <span class="o">=</span> <span class="n">hf_model_or_dir</span>
|
|
<span class="n">hf_config_or_dir</span> <span class="o">=</span> <span class="n">hf_model_or_dir</span>
|
|
<span class="n">config</span> <span class="o">=</span> <span class="n">PhiConfig</span><span class="o">.</span><span class="n">from_hugging_face</span><span class="p">(</span><span class="n">hf_config_or_dir</span><span class="p">,</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">,</span>
|
|
<span class="n">mapping</span><span class="o">=</span><span class="n">mapping</span><span class="p">,</span>
|
|
<span class="n">quant_config</span><span class="o">=</span><span class="n">quant_config</span><span class="p">,</span>
|
|
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
|
<span class="k">if</span> <span class="ow">not</span> <span class="n">use_preloading</span><span class="p">:</span>
|
|
<span class="n">trust_remote_code</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'trust_remote_code'</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
|
|
|
<span class="n">hf_model</span> <span class="o">=</span> <span class="n">AutoModelForCausalLM</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
|
|
<span class="n">hf_model_dir</span><span class="p">,</span>
|
|
<span class="n">torch_dtype</span><span class="o">=</span><span class="s2">"auto"</span><span class="p">,</span>
|
|
<span class="n">trust_remote_code</span><span class="o">=</span><span class="n">trust_remote_code</span><span class="p">)</span>
|
|
|
|
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">hf_model</span><span class="p">,</span> <span class="n">transformers</span><span class="o">.</span><span class="n">PreTrainedModel</span><span class="p">)</span>
|
|
|
|
<span class="n">weights</span> <span class="o">=</span> <span class="n">load_weights_from_hf_model</span><span class="p">(</span><span class="n">hf_model</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
|
|
|
|
<span class="n">model</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
|
|
<span class="n">model</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">weights</span><span class="p">)</span>
|
|
<span class="k">return</span> <span class="n">model</span></div>
|
|
</div>
|
|
|
|
</pre></div>
|
|
|
|
</div>
|
|
</div>
|
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<footer>
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<hr/>
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<div role="contentinfo">
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<jinja2.runtime.BlockReference object at 0x7fa2582e0050>
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<div class="footer">
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Copyright © 2024 NVIDIA Corporation
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