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<span class="sd"> * :func:`torch.index_select` when attempting to differentiate a CUDA tensor</span>
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<span class="sd"> * :func:`torch.repeat_interleave` when attempting to differentiate a CUDA tensor</span>
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<span class="sd"> * :func:`torch.Tensor.scatter_reduce` when ``reduce=&#39;sum&#39;`` or ``reduce=&#39;mean&#39;`` and called on CUDA tensor</span>
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<span class="sd"> The following normally-nondeterministic operations will throw a</span>
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<span class="sd"> :class:`RuntimeError` when ``mode=True``:</span>
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<span class="sd"> * :func:`torch.median` with indices output when called on a CUDA tensor</span>
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<span class="sd"> * :func:`torch.nn.functional.grid_sample` when attempting to differentiate a CUDA tensor</span>
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<span class="sd"> A handful of CUDA operations are nondeterministic if the CUDA version is</span>
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<span class="sd"> 10.2 or greater, unless the environment variable ``CUBLAS_WORKSPACE_CONFIG=:4096:8``</span>

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<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__setattr__</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span>
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<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="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>

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