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synced 2026-04-10 11:34:33 +08:00
Fix typo + get rid of redundant member variables for block sizes
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@@ -124,8 +124,11 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
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using TensorBlock = internal::TensorBlock<ScalarNoConst, Index, NumDims, Layout>;
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using TensorBlockReader = internal::TensorBlockReader<ScalarNoConst, Index, NumDims, Layout>;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
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: m_impl(op.expression(), device), m_shuffle(op.shufflePermutation())
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op,
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const Device& device)
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: m_device(device),
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m_impl(op.expression(), device),
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m_shuffle(op.shufflePermutation())
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{
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const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions();
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const Shuffle& shuffle = op.shufflePermutation();
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@@ -162,9 +165,6 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
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for (int i = 0; i < NumDims; ++i) {
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m_inputStrides[i] = m_unshuffledInputStrides[shuffle[i]];
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}
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m_block_total_size_max =
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numext::maxi<Index>(1, device.firstLevelCacheSize() / sizeof(Scalar));
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
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@@ -226,9 +226,10 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
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std::vector<internal::TensorOpResourceRequirements>* resources) const {
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auto block_total_size_max = numext::maxi<Eigen::Index>(
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1, m_device.firstLevelCacheSize() / sizeof(Scalar));
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resources->push_back(internal::TensorOpResourceRequirements(
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internal::TensorBlockShapeType::kUniformAllDims,
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m_block_total_size_max));
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internal::TensorBlockShapeType::kUniformAllDims, block_total_size_max));
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m_impl.getResourceRequirements(resources);
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}
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@@ -384,7 +385,8 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
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array<internal::TensorIntDivisor<Index>, NumDims> m_fastOutputStrides;
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array<Index, NumDims> m_inputStrides;
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array<Index, NumDims> m_unshuffledInputStrides;
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Index m_block_total_size_max;
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const Device& m_device;
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TensorEvaluator<ArgType, Device> m_impl;
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/// required by sycl
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Shuffle m_shuffle;
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