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| <h1>Source code for apache_beam.typehints.pytorch_type_compatibility</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span> |
| <span class="c1"># contributor license agreements. See the NOTICE file distributed with</span> |
| <span class="c1"># this work for additional information regarding copyright ownership.</span> |
| <span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span> |
| <span class="c1"># (the "License"); you may not use this file except in compliance with</span> |
| <span class="c1"># the License. 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 "AS IS" 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="c1">#</span> |
| |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span> |
| |
| <span class="kn">import</span> <span class="nn">torch</span> |
| <span class="kn">from</span> <span class="nn">apache_beam.typehints</span> <span class="kn">import</span> <span class="n">typehints</span> |
| <span class="kn">from</span> <span class="nn">apache_beam.typehints.batch</span> <span class="kn">import</span> <span class="n">BatchConverter</span> |
| <span class="kn">from</span> <span class="nn">apache_beam.typehints.batch</span> <span class="kn">import</span> <span class="n">N</span> |
| |
| |
| <div class="viewcode-block" id="PytorchBatchConverter"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter">[docs]</a><span class="k">class</span> <span class="nc">PytorchBatchConverter</span><span class="p">(</span><span class="n">BatchConverter</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">batch_type</span><span class="p">,</span> |
| <span class="n">element_type</span><span class="p">,</span> |
| <span class="n">dtype</span><span class="p">,</span> |
| <span class="n">element_shape</span><span class="o">=</span><span class="p">(),</span> |
| <span class="n">partition_dimension</span><span class="o">=</span><span class="mi">0</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">batch_type</span><span class="p">,</span> <span class="n">element_type</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span> <span class="n">dtype</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">element_shape</span> <span class="o">=</span> <span class="n">element_shape</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">partition_dimension</span> <span class="o">=</span> <span class="n">partition_dimension</span> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.from_typehints"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.from_typehints">[docs]</a> <span class="nd">@staticmethod</span> |
| <span class="nd">@BatchConverter</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"pytorch"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">from_typehints</span><span class="p">(</span><span class="n">element_type</span><span class="p">,</span> |
| <span class="n">batch_type</span><span class="p">)</span> <span class="o">-></span> <span class="n">Optional</span><span class="p">[</span><span class="s1">'PytorchBatchConverter'</span><span class="p">]:</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">element_type</span><span class="p">,</span> <span class="n">PytorchTypeHint</span><span class="o">.</span><span class="n">PytorchTypeConstraint</span><span class="p">):</span> |
| <span class="n">element_type</span> <span class="o">=</span> <span class="n">PytorchTensor</span><span class="p">[</span><span class="n">element_type</span><span class="p">,</span> <span class="p">()]</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">batch_type</span><span class="p">,</span> <span class="n">PytorchTypeHint</span><span class="o">.</span><span class="n">PytorchTypeConstraint</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">batch_type</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="s2">"batch type must be torch.Tensor or "</span> |
| <span class="s2">"beam.typehints.pytorch_type_compatibility.PytorchTensor[..]"</span><span class="p">)</span> |
| <span class="n">batch_type</span> <span class="o">=</span> <span class="n">PytorchTensor</span><span class="p">[</span><span class="n">element_type</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="p">(</span><span class="n">N</span><span class="p">,</span> <span class="p">)]</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">batch_type</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">element_type</span><span class="o">.</span><span class="n">dtype</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="s2">"batch type and element type must have equivalent dtypes "</span> |
| <span class="sa">f</span><span class="s2">"(batch=</span><span class="si">{</span><span class="n">batch_type</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2">, element=</span><span class="si">{</span><span class="n">element_type</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2">)"</span><span class="p">)</span> |
| <span class="n">computed_element_shape</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">batch_type</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> |
| <span class="n">partition_dimension</span> <span class="o">=</span> <span class="n">computed_element_shape</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">N</span><span class="p">)</span> |
| <span class="n">computed_element_shape</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">partition_dimension</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">computed_element_shape</span><span class="p">)</span> <span class="o">==</span> <span class="n">element_type</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="s2">"Could not align batch type's batch dimension with element type. "</span> |
| <span class="sa">f</span><span class="s2">"(batch type dimensions: </span><span class="si">{</span><span class="n">batch_type</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s2">, element type "</span> |
| <span class="sa">f</span><span class="s2">"dimenstions: </span><span class="si">{</span><span class="n">element_type</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">PytorchBatchConverter</span><span class="p">(</span> |
| <span class="n">batch_type</span><span class="p">,</span> |
| <span class="n">element_type</span><span class="p">,</span> |
| <span class="n">batch_type</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> |
| <span class="n">element_type</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> |
| <span class="n">partition_dimension</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.produce_batch"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.produce_batch">[docs]</a> <span class="k">def</span> <span class="nf">produce_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">elements</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">elements</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">partition_dimension</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.explode_batch"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.explode_batch">[docs]</a> <span class="k">def</span> <span class="nf">explode_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""Convert an instance of B to Generator[E]."""</span> |
| <span class="k">yield from</span> <span class="n">torch</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">partition_dimension</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.combine_batches"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.combine_batches">[docs]</a> <span class="k">def</span> <span class="nf">combine_batches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batches</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">batches</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">partition_dimension</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.get_length"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.get_length">[docs]</a> <span class="k">def</span> <span class="nf">get_length</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">batch</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">partition_dimension</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PytorchBatchConverter.estimate_byte_size"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchBatchConverter.estimate_byte_size">[docs]</a> <span class="k">def</span> <span class="nf">estimate_byte_size</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">batch</span><span class="o">.</span><span class="n">nelement</span><span class="p">()</span> <span class="o">*</span> <span class="n">batch</span><span class="o">.</span><span class="n">element_size</span><span class="p">()</span></div></div> |
| |
| |
| <div class="viewcode-block" id="PytorchTypeHint"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchTypeHint">[docs]</a><span class="k">class</span> <span class="nc">PytorchTypeHint</span><span class="p">():</span> |
| <div class="viewcode-block" id="PytorchTypeHint.PytorchTypeConstraint"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchTypeHint.PytorchTypeConstraint">[docs]</a> <span class="k">class</span> <span class="nc">PytorchTypeConstraint</span><span class="p">(</span><span class="n">typehints</span><span class="o">.</span><span class="n">TypeConstraint</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">dtype</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">()):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span> <span class="n">dtype</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">shape</span> |
| |
| <div class="viewcode-block" id="PytorchTypeHint.PytorchTypeConstraint.type_check"><a class="viewcode-back" href="../../../apache_beam.typehints.pytorch_type_compatibility.html#apache_beam.typehints.pytorch_type_compatibility.PytorchTypeHint.PytorchTypeConstraint.type_check">[docs]</a> <span class="k">def</span> <span class="nf">type_check</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Batch </span><span class="si">{</span><span class="n">batch</span><span class="si">!r}</span><span class="s2"> is not an instance of torch.Tensor"</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">batch</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="sa">f</span><span class="s2">"Batch </span><span class="si">{</span><span class="n">batch</span><span class="si">!r}</span><span class="s2"> does not have expected dtype: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="si">!r}</span><span class="s2">"</span><span class="p">)</span> |
| |
| <span class="k">for</span> <span class="n">dim</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">)):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">==</span> <span class="n">N</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">batch</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]:</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span> |
| <span class="sa">f</span><span class="s2">"Batch </span><span class="si">{</span><span class="n">batch</span><span class="si">!r}</span><span class="s2"> does not have expected shape: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="si">!r}</span><span class="s2">"</span><span class="p">)</span></div> |
| |
| <span class="k">def</span> <span class="nf">_consistent_with_check_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sub</span><span class="p">):</span> |
| <span class="c1"># TODO Check sub against batch type, and element type</span> |
| <span class="k">return</span> <span class="kc">True</span> |
| |
| <span class="k">def</span> <span class="nf">__key</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">return</span> <span class="p">(</span><span class="bp">self</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">shape</span><span class="p">)</span> |
| |
| <span class="k">def</span> <span class="fm">__eq__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">PytorchTypeHint</span><span class="o">.</span><span class="n">PytorchTypeConstraint</span><span class="p">):</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__key</span><span class="p">()</span> <span class="o">==</span> <span class="n">other</span><span class="o">.</span><span class="n">__key</span><span class="p">()</span> |
| |
| <span class="k">return</span> <span class="bp">NotImplemented</span> |
| |
| <span class="k">def</span> <span class="fm">__hash__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span> |
| <span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">__key</span><span class="p">())</span> |
| |
| <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="n">N</span><span class="p">,</span> <span class="p">):</span> |
| <span class="k">return</span> <span class="sa">f</span><span class="s1">'PytorchTensor[</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="si">!r}</span><span class="s1">]'</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">return</span> <span class="sa">f</span><span class="s1">'PytorchTensor[</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="si">!r}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="si">!r}</span><span class="s1">]'</span></div> |
| |
| <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> |
| <span class="n">dtype</span><span class="p">,</span> <span class="n">shape</span> <span class="o">=</span> <span class="n">value</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">PytorchTypeConstraint</span><span class="p">(</span><span class="n">dtype</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">dtype</span> <span class="o">=</span> <span class="n">value</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">PytorchTypeConstraint</span><span class="p">(</span><span class="n">dtype</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">N</span><span class="p">,</span> <span class="p">))</span></div> |
| |
| |
| <span class="n">PytorchTensor</span> <span class="o">=</span> <span class="n">PytorchTypeHint</span><span class="p">()</span> |
| </pre></div> |
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