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Extend support for Packet16b:
* Add ptranspose<*,4> to support matmul and add unit test for Matrix<bool> * Matrix<bool> * work around a bug in slicing of Tensor<bool>. * Add tensor tests This speeds up matmul for boolean matrices by about 10x name old time/op new time/op delta BM_MatMul<bool>/8 267ns ± 0% 479ns ± 0% +79.25% (p=0.008 n=5+5) BM_MatMul<bool>/32 6.42µs ± 0% 0.87µs ± 0% -86.50% (p=0.008 n=5+5) BM_MatMul<bool>/64 43.3µs ± 0% 5.9µs ± 0% -86.42% (p=0.008 n=5+5) BM_MatMul<bool>/128 315µs ± 0% 44µs ± 0% -85.98% (p=0.008 n=5+5) BM_MatMul<bool>/256 2.41ms ± 0% 0.34ms ± 0% -85.68% (p=0.008 n=5+5) BM_MatMul<bool>/512 18.8ms ± 0% 2.7ms ± 0% -85.53% (p=0.008 n=5+5) BM_MatMul<bool>/1k 149ms ± 0% 22ms ± 0% -85.40% (p=0.008 n=5+5)
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@@ -456,7 +456,9 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
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// slice offsets and sizes.
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IsAligned = false,
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PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
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BlockAccess = TensorEvaluator<ArgType, Device>::BlockAccess,
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BlockAccess = TensorEvaluator<ArgType, Device>::BlockAccess &&
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// FIXME: Temporary workaround for bug in slicing of bool tensors.
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!internal::is_same<typename internal::remove_const<Scalar>::type, bool>::value,
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PreferBlockAccess = true,
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Layout = TensorEvaluator<ArgType, Device>::Layout,
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CoordAccess = false,
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@@ -525,7 +527,6 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
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m_impl.evalSubExprsIfNeeded(NULL);
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if (!NumTraits<typename internal::remove_const<Scalar>::type>::RequireInitialization
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@@ -559,14 +560,14 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
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}
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return true;
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}
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#ifdef EIGEN_USE_THREADS
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template <typename EvalSubExprsCallback>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeededAsync(
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EvaluatorPointerType data, EvalSubExprsCallback done) {
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m_impl.evalSubExprsIfNeededAsync(nullptr, [done](bool) { done(true); });
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}
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#endif // EIGEN_USE_THREADS
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#endif // EIGEN_USE_THREADS
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
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m_impl.cleanup();
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