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[skip ci] Documentation updates
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felixdittrich92 committed Oct 29, 2024
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1 change: 0 additions & 1 deletion latest/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.1.0/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.1.1/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.2.0/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.2.1/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.3.0/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.3.1/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.4.0/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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1 change: 0 additions & 1 deletion v0.4.1/_modules/doctr/models/recognition/parseq/tensorflow.html
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Expand Up @@ -544,7 +544,6 @@ <h1>Source code for doctr.models.recognition.parseq.tensorflow</h1><div class="h
<span class="n">target_query</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="n">target_query</span><span class="p">,</span> <span class="n">content</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span> <span class="n">target_mask</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>

<span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
<span class="k">def</span> <span class="nf">decode_autoregressive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</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="o">-&gt;</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate predictions for the given features.&quot;&quot;&quot;</span>
<span class="n">max_length</span> <span class="o">=</span> <span class="n">max_len</span> <span class="k">if</span> <span class="n">max_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_length</span>
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