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Fix doc warnings
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docs/source/framework/pytorch_integration/autotuning_layers.rst

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@@ -92,7 +92,7 @@ kernel timing. You can adopt the following parameter settings as starters for au
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Initial CudaMappingOptions
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At the beginning of autotuning, the kernel is mapped to whatever :code:`mapping options`
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user passes. If no mapping options are passed by user, then the default :code:`naive`

docs/source/framework/pytorch_integration/writing_layers.rst

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@@ -46,7 +46,7 @@ tc.define
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.. _must_pass_options:
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Specifying CudaMappingOptions
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TC is transformed into :code:`CUDA` kernel by using the :code:`Options` which
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is used to run the layer and hence also determines the performance of the kernel

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