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Remove legacy block evaluation support

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This commit is contained in:
Eugene Zhulenev
2019-11-12 10:12:28 -08:00
parent 71aa53dd6d
commit 13c3327f5c
36 changed files with 62 additions and 3224 deletions
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16
unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
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@@ -110,7 +110,6 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
enum {
IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
BlockAccess = true,
BlockAccessV2 = true,
PreferBlockAccess = false,
Layout = TensorEvaluator<ArgType, Device>::Layout,
@@ -120,9 +119,6 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
static const int NumDims = internal::traits<ArgType>::NumDimensions;
typedef typename internal::TensorBlock<CoeffReturnType, Index, NumDims, Layout> TensorBlock;
typedef typename internal::TensorBlockReader<CoeffReturnType, Index, NumDims, Layout> TensorBlockReader;
//===- Tensor block evaluation strategy (see TensorBlock.h) -------------===//
typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
@@ -173,13 +169,6 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
m_impl.getResourceRequirements(resources);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalBlock(TensorBlock* block) {
TensorBlock eval_to_block(block->first_coeff_index(), block->block_sizes(),
block->tensor_strides(), block->tensor_strides(),
m_buffer + block->first_coeff_index());
m_impl.block(&eval_to_block);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalBlockV2(
TensorBlockDesc& desc, TensorBlockScratch& scratch) {
// Add `m_buffer` as destination buffer to the block descriptor.
@@ -216,11 +205,6 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
return internal::ploadt<PacketReturnType, LoadMode>(m_buffer + index);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void block(TensorBlock* block) const {
assert(m_buffer != NULL);
TensorBlockReader::Run(block, m_buffer);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const {
// We assume that evalPacket or evalScalar is called to perform the
// assignment and account for the cost of the write here.