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‎_sources/api/file_build_aten_src_ATen_Functions.h.rst.txt‎

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‎_sources/api/file_c10_util_Optional.h.rst.txt‎

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‎_sources/api/namespace_at.rst.txt‎

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‎api/classtorch_1_1nn_1_1_module.html‎

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<p class="first admonition-title">Note</p>
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<p class="last">The design and implementation of this class is largely based on the Python
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API. You may want to consult the python documentation for
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<a class="reference external" href="https://pytorch.org/docs/master/nn.html#torch.nn.Module" title="(in PyTorch vmaster (1.4.0a0+930d075 ))"><code class="docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a> for further clarification on certain
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<a class="reference external" href="https://pytorch.org/docs/master/nn.html#torch.nn.Module" title="(in PyTorch vmaster (1.4.0a0+0d7391f ))"><code class="docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a> for further clarification on certain
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‎api/file_build_aten_src_ATen_Functions.h.html‎

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<li><a class="reference internal" href="function_namespaceat_1aff3a24962919c15b33e357cc9f7cf9c9.html#exhale-function-namespaceat-1aff3a24962919c15b33e357cc9f7cf9c9"><span class="std std-ref">Function at::_sparse_sum(const Tensor&amp;, IntArrayRef, ScalarType)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1ad8a0bd5d9318baf70f3750aa582e9cfa.html#exhale-function-namespaceat-1ad8a0bd5d9318baf70f3750aa582e9cfa"><span class="std std-ref">Function at::_sparse_sum(const Tensor&amp;, ScalarType)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a01a5e7ed3c49e907b3141fd2a202c30e.html#exhale-function-namespaceat-1a01a5e7ed3c49e907b3141fd2a202c30e"><span class="std std-ref">Function at::pow(const Tensor&amp;, const Tensor&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a71f380e6afeae532adfd0ee4ff56b50f.html#exhale-function-namespaceat-1a71f380e6afeae532adfd0ee4ff56b50f"><span class="std std-ref">Function at::pow_out(Tensor&amp;, const Tensor&amp;, const Tensor&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a9dc6045bd13ab652de6eeb60d7fb8998.html#exhale-function-namespaceat-1a9dc6045bd13ab652de6eeb60d7fb8998"><span class="std std-ref">Function at::pow_out(Tensor&amp;, const Tensor&amp;, Scalar)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a611f8dc532d84fd2e0d5a8c0d724a3a9.html#exhale-function-namespaceat-1a611f8dc532d84fd2e0d5a8c0d724a3a9"><span class="std std-ref">Function at::pow_out(Tensor&amp;, Scalar, const Tensor&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a71f380e6afeae532adfd0ee4ff56b50f.html#exhale-function-namespaceat-1a71f380e6afeae532adfd0ee4ff56b50f"><span class="std std-ref">Function at::pow_out(Tensor&amp;, const Tensor&amp;, const Tensor&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1abf44ae8225c2686571207f6f48f35b42.html#exhale-function-namespaceat-1abf44ae8225c2686571207f6f48f35b42"><span class="std std-ref">Function at::prelu</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a1b0f267616597209c2cdc00fa2a3fdd1.html#exhale-function-namespaceat-1a1b0f267616597209c2cdc00fa2a3fdd1"><span class="std std-ref">Function at::prelu_backward</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a919dcd4f18a5a2ee4358121f969b2631.html#exhale-function-namespaceat-1a919dcd4f18a5a2ee4358121f969b2631"><span class="std std-ref">Function at::prod(const Tensor&amp;, c10::optional&lt;ScalarType&gt;)</span></a></li>
@@ -1160,10 +1160,10 @@ <h2>Functions<a class="headerlink" href="#functions" title="Permalink to this he
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<li><a class="reference internal" href="function_namespaceat_1a1f7239254f1473890b16297aed730d28.html#exhale-function-namespaceat-1a1f7239254f1473890b16297aed730d28"><span class="std std-ref">Function at::randint(int64_t, IntArrayRef, Generator *, const TensorOptions&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a6375720b1f7b0a5f5dfa90c9a4dceaba.html#exhale-function-namespaceat-1a6375720b1f7b0a5f5dfa90c9a4dceaba"><span class="std std-ref">Function at::randint(int64_t, int64_t, IntArrayRef, const TensorOptions&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1aa2a3b60d8e984e1a9173aea3a724d1d9.html#exhale-function-namespaceat-1aa2a3b60d8e984e1a9173aea3a724d1d9"><span class="std std-ref">Function at::randint(int64_t, int64_t, IntArrayRef, Generator *, const TensorOptions&amp;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a81eee9fe920832a49dec1101c1fa73ea.html#exhale-function-namespaceat-1a81eee9fe920832a49dec1101c1fa73ea"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, int64_t, const TensorOptions&amp;, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1ac172d229e12d47c082ca56a713af3c5d.html#exhale-function-namespaceat-1ac172d229e12d47c082ca56a713af3c5d"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, int64_t, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1ada29275fdbca59275f6f3db67d29edf2.html#exhale-function-namespaceat-1ada29275fdbca59275f6f3db67d29edf2"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1ac172d229e12d47c082ca56a713af3c5d.html#exhale-function-namespaceat-1ac172d229e12d47c082ca56a713af3c5d"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, int64_t, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a6b936b79efec35b4c1e6b440a95a0b4a.html#exhale-function-namespaceat-1a6b936b79efec35b4c1e6b440a95a0b4a"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, const TensorOptions&amp;, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a81eee9fe920832a49dec1101c1fa73ea.html#exhale-function-namespaceat-1a81eee9fe920832a49dec1101c1fa73ea"><span class="std std-ref">Function at::randint_like(const Tensor&amp;, int64_t, int64_t, const TensorOptions&amp;, c10::optional&lt;MemoryFormat&gt;)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a3f64ceb8d04a9d0f2b5aac708b6471c9.html#exhale-function-namespaceat-1a3f64ceb8d04a9d0f2b5aac708b6471c9"><span class="std std-ref">Function at::randint_out(Tensor&amp;, int64_t, IntArrayRef)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a101c4dc67628608ed35b8e0c6a1ee760.html#exhale-function-namespaceat-1a101c4dc67628608ed35b8e0c6a1ee760"><span class="std std-ref">Function at::randint_out(Tensor&amp;, int64_t, IntArrayRef, Generator *)</span></a></li>
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<li><a class="reference internal" href="function_namespaceat_1a211e272fa8a9b0f43d95ef22aa157ff1.html#exhale-function-namespaceat-1a211e272fa8a9b0f43d95ef22aa157ff1"><span class="std std-ref">Function at::randint_out(Tensor&amp;, int64_t, int64_t, IntArrayRef)</span></a></li>

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