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<h1>Source code for tensorrt_llm.models.dbrx.config</h1><div class="highlight"><pre>
<span></span><span class="c1"># SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION &amp; AFFILIATES. All rights reserved.</span>
<span class="c1"># SPDX-License-Identifier: Apache-2.0</span>
<span class="c1">#</span>
<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span>
<span class="c1"># you may not use this file except in compliance with the License.</span>
<span class="c1"># You may obtain a copy of the License at</span>
<span class="c1">#</span>
<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
<span class="c1">#</span>
<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span>
<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span class="c1"># See the License for the specific language governing permissions and</span>
<span class="c1"># limitations under the License.</span>
<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>
<span class="kn">from</span> <span class="nn">...layers</span> <span class="kn">import</span> <span class="n">MoeConfig</span>
<span class="kn">from</span> <span class="nn">..modeling_utils</span> <span class="kn">import</span> <span class="n">PretrainedConfig</span>
<div class="viewcode-block" id="DbrxConfig">
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.DbrxConfig">[docs]</a>
<span class="k">class</span> <span class="nc">DbrxConfig</span><span class="p">(</span><span class="n">PretrainedConfig</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="o">*</span><span class="p">,</span>
<span class="n">bias</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="n">clip_qkv</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">rotary_base</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">500000.0</span><span class="p">,</span>
<span class="n">rotary_scaling</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">moe</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">MoeConfig</span><span class="p">,</span> <span class="nb">dict</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="bp">self</span><span class="o">.</span><span class="n">bias</span> <span class="o">=</span> <span class="n">bias</span>
<span class="bp">self</span><span class="o">.</span><span class="n">clip_qkv</span> <span class="o">=</span> <span class="n">clip_qkv</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rotary_base</span> <span class="o">=</span> <span class="n">rotary_base</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rotary_scaling</span> <span class="o">=</span> <span class="n">rotary_scaling</span>
<span class="k">if</span> <span class="n">moe</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="c1"># Legacy MOE config fields</span>
<span class="n">moe</span> <span class="o">=</span> <span class="n">MoeConfig</span><span class="p">(</span>
<span class="n">num_experts</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">&#39;moe_num_experts&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
<span class="n">top_k</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">&#39;moe_top_k&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
<span class="n">normalization_mode</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">&#39;moe_normalization_mode&#39;</span><span class="p">,</span>
<span class="n">MoeConfig</span><span class="o">.</span><span class="n">ExpertScaleNormalizationMode</span><span class="o">.</span><span class="n">RENORMALIZE</span><span class="p">))</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">moe</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
<span class="n">moe</span> <span class="o">=</span> <span class="n">MoeConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">moe</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">moe</span><span class="p">,</span> <span class="n">MoeConfig</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">moe</span> <span class="o">=</span> <span class="n">moe</span><span class="o">.</span><span class="n">validate</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="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<div class="viewcode-block" id="DbrxConfig.to_dict">
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.DbrxConfig.to_dict">[docs]</a>
<span class="k">def</span> <span class="nf">to_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="n">output</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
<span class="c1"># Serialize the fields added in DbrxConfig</span>
<span class="n">output</span><span class="p">[</span><span class="s1">&#39;bias&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias</span>
<span class="n">output</span><span class="p">[</span><span class="s1">&#39;clip_qkv&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">clip_qkv</span>
<span class="n">output</span><span class="p">[</span><span class="s1">&#39;rotary_base&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rotary_base</span>
<span class="n">output</span><span class="p">[</span><span class="s1">&#39;rotary_scaling&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rotary_scaling</span>
<span class="n">output</span><span class="p">[</span><span class="s1">&#39;moe&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">moe</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
<span class="k">return</span> <span class="n">output</span></div>
</div>
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