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Merge with upstream eigen/default
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@@ -152,13 +152,7 @@ struct TensorContractionParams {
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// 1. Elementwise Relu transformation following Conv2D.
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// 2. AddBias to the Conv2D output channels dimension.
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//
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// See expected implementation in NoOpOutputKernel.
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struct OutputKernel {
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template <typename Index, typename Scalar>
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using OutputMapper = internal::blas_data_mapper<Scalar, Index, ColMajor>;
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};
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// Output kernel that does absolutely nothing.
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// The NoOpOutputKernel implements an output kernel that does absolutely nothing.
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struct NoOpOutputKernel {
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/**
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* Tensor contraction evaluator calls this kernel after finishing each block
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@@ -177,7 +171,7 @@ struct NoOpOutputKernel {
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*/
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template <typename Index, typename Scalar>
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EIGEN_ALWAYS_INLINE void operator()(
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const OutputKernel::OutputMapper<Index, Scalar>& /*output_mapper*/,
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const internal::blas_data_mapper<Scalar, Index, ColMajor>& /*output_mapper*/,
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const TensorContractionParams& /*params*/, Index /*i*/,
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Index /*j*/, Index /*num_rows*/, Index /*num_cols*/) const {}
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};
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@@ -354,7 +348,7 @@ struct TensorContractionEvaluatorBase
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// dimensions and right non-contracting dimensions.
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m_lhs_inner_dim_contiguous = true;
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int dim_idx = 0;
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unsigned int nocontract_idx = 0;
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Index nocontract_idx = 0;
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for (int i = 0; i < LDims; i++) {
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// find if we are contracting on index i of left tensor
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@@ -667,7 +661,7 @@ struct TensorContractionEvaluatorBase
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// call gebp (matrix kernel)
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// The parameters here are copied from Eigen's GEMM implementation
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const auto output_mapper = output.getSubMapper(i2, j2);
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const OutputMapper output_mapper = output.getSubMapper(i2, j2);
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gebp(output_mapper, blockA, blockB, actual_mc, actual_kc, actual_nc,
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Scalar(1), -1, -1, 0, 0);
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