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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2018-08-14 14:05:46 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2018-08-14 14:05:46 -0700
commitab3f481141a6bc72d2bbdc6300fb9dc157029ea9 (patch)
treecc42e6d5bbc817ce74ad7b54632d64c24c770550 /unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
parentaebdb0642402e49ded58db98dd29c67cd76d204a (diff)
Cleaned up the code and make it compile with more compilers
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h76
1 files changed, 32 insertions, 44 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h b/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
index 322260011..24a6343e8 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
@@ -91,7 +91,7 @@ EIGEN_STRONG_INLINE void MergeResourceRequirements(
*block_total_size = resources[0].block_total_size;
for (std::vector<TensorOpResourceRequirements>::size_type i = 1; i < resources.size(); ++i) {
if (resources[i].block_shape == kSkewedInnerDims &&
- *block_shape ! kSkewedInnerDims) {
+ *block_shape != kSkewedInnerDims) {
*block_shape = kSkewedInnerDims;
}
*block_total_size =
@@ -152,11 +152,11 @@ struct TensorBlockCopyOp {
const Scalar* src_base = &src_data[src_index];
Scalar* dst_base = &dst_data[dst_index];
- typedef const Eigen::Array<Scalar, Dynamic, 1> Src;
- typedef Eigen::Array<Scalar, Dynamic, 1> Dst;
+ typedef const Array<Scalar, Dynamic, 1> Src;
+ typedef Array<Scalar, Dynamic, 1> Dst;
- typedef Eigen::Map<Src, 0, InnerStride<> > SrcMap;
- typedef Eigen::Map<Dst, 0, InnerStride<> > DstMap;
+ typedef Map<Src, 0, InnerStride<> > SrcMap;
+ typedef Map<Dst, 0, InnerStride<> > DstMap;
const SrcMap src(src_base, num_coeff_to_copy, InnerStride<>(src_stride));
DstMap dst(dst_base, num_coeff_to_copy, InnerStride<>(dst_stride));
@@ -178,10 +178,8 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout,
bool BlockRead>
class TensorBlockIO {
public:
- typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
- TensorBlock;
- typedef typename TensorBlockCopyOp<Scalar, StorageIndex>
- TensorBlockCopyOp;
+ typedef TensorBlock<Scalar, StorageIndex, NumDims, Layout> Block;
+ typedef TensorBlockCopyOp<Scalar, StorageIndex> BlockCopyOp;
protected:
struct BlockIteratorState {
@@ -194,7 +192,7 @@ class TensorBlockIO {
};
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Copy(
- const TensorBlock& block, StorageIndex first_coeff_index,
+ const Block& block, StorageIndex first_coeff_index,
const array<StorageIndex, NumDims>& tensor_to_block_dim_map,
const array<StorageIndex, NumDims>& tensor_strides, const Scalar* src_data,
Scalar* dst_data) {
@@ -290,8 +288,8 @@ class TensorBlockIO {
const StorageIndex block_total_size =
NumDims == 0 ? 1 : block.block_sizes().TotalSize();
for (StorageIndex i = 0; i < block_total_size; i += block_inner_dim_size) {
- TensorBlockCopyOp::Run(block_inner_dim_size, outputIndex, output_stride,
- dst_data, inputIndex, input_stride, src_data);
+ BlockCopyOp::Run(block_inner_dim_size, outputIndex, output_stride,
+ dst_data, inputIndex, input_stride, src_data);
// Update index.
for (int j = 0; j < num_squeezed_dims; ++j) {
if (++block_iter_state[j].count < block_iter_state[j].size) {
@@ -320,13 +318,11 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockReader : public TensorBlockIO<Scalar, StorageIndex, NumDims,
Layout, /*BlockRead=*/true> {
public:
- typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
- TensorBlock;
- typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/true>
- Base;
+ typedef TensorBlock<Scalar, StorageIndex, NumDims, Layout> Block;
+ typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/true> Base;
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Run(
- TensorBlock* block, const Scalar* src_data) {
+ Block* block, const Scalar* src_data) {
array<StorageIndex, NumDims> tensor_to_block_dim_map;
for (int i = 0; i < NumDims; ++i) {
tensor_to_block_dim_map[i] = i;
@@ -336,7 +332,7 @@ class TensorBlockReader : public TensorBlockIO<Scalar, StorageIndex, NumDims,
}
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Run(
- TensorBlock* block, StorageIndex first_coeff_index,
+ Block* block, StorageIndex first_coeff_index,
const array<StorageIndex, NumDims>& tensor_to_block_dim_map,
const array<StorageIndex, NumDims>& tensor_strides, const Scalar* src_data) {
Base::Copy(*block, first_coeff_index, tensor_to_block_dim_map,
@@ -357,13 +353,11 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockWriter : public TensorBlockIO<Scalar, StorageIndex, NumDims,
Layout, /*BlockRead=*/false> {
public:
- typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
- TensorBlock;
- typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/false>
- Base;
+ typedef TensorBlock<Scalar, StorageIndex, NumDims, Layout> Block;
+ typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/false> Base;
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Run(
- const TensorBlock& block, Scalar* dst_data) {
+ const Block& block, Scalar* dst_data) {
array<StorageIndex, NumDims> tensor_to_block_dim_map;
for (int i = 0; i < NumDims; ++i) {
tensor_to_block_dim_map[i] = i;
@@ -373,7 +367,7 @@ class TensorBlockWriter : public TensorBlockIO<Scalar, StorageIndex, NumDims,
}
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void Run(
- const TensorBlock& block, StorageIndex first_coeff_index,
+ const Block& block, StorageIndex first_coeff_index,
const array<StorageIndex, NumDims>& tensor_to_block_dim_map,
const array<StorageIndex, NumDims>& tensor_strides, Scalar* dst_data) {
Base::Copy(block, first_coeff_index, tensor_to_block_dim_map,
@@ -401,13 +395,13 @@ struct TensorBlockCwiseBinaryOp {
const StorageIndex left_stride, const LeftScalar* left_data,
const StorageIndex right_index, const StorageIndex right_stride,
const RightScalar* right_data) {
- typedef const Eigen::Array<LeftScalar, Dynamic, 1> Lhs;
- typedef const Eigen::Array<RightScalar, Dynamic, 1> Rhs;
- typedef Eigen::Array<OutputScalar, Dynamic, 1> Out;
+ typedef const Array<LeftScalar, Dynamic, 1> Lhs;
+ typedef const Array<RightScalar, Dynamic, 1> Rhs;
+ typedef Array<OutputScalar, Dynamic, 1> Out;
- typedef Eigen::Map<Lhs, 0, InnerStride<> > LhsMap;
- typedef Eigen::Map<Rhs, 0, InnerStride<> > RhsMap;
- typedef Eigen::Map<Out, 0, InnerStride<> > OutMap;
+ typedef Map<Lhs, 0, InnerStride<> > LhsMap;
+ typedef Map<Rhs, 0, InnerStride<> > RhsMap;
+ typedef Map<Out, 0, InnerStride<> > OutMap;
const LeftScalar* lhs_base = &left_data[left_index];
const RightScalar* rhs_base = &right_data[right_index];
@@ -417,8 +411,7 @@ struct TensorBlockCwiseBinaryOp {
const RhsMap rhs(rhs_base, num_coeff, InnerStride<>(right_stride));
OutMap out(out_base, num_coeff, InnerStride<>(output_stride));
- out =
- Eigen::CwiseBinaryOp<BinaryFunctor, LhsMap, RhsMap>(lhs, rhs, functor);
+ out = CwiseBinaryOp<BinaryFunctor, LhsMap, RhsMap>(lhs, rhs, functor);
}
};
@@ -434,8 +427,7 @@ struct TensorBlockCwiseBinaryOp {
template <typename BinaryFunctor, typename StorageIndex, typename OutputScalar,
int NumDims, int Layout>
struct TensorBlockCwiseBinaryIO {
- typedef typename TensorBlock<OutputScalar, StorageIndex, NumDims,
- Layout>::Dimensions Dimensions;
+ typedef typename TensorBlock<OutputScalar, StorageIndex, NumDims, Layout>::Dimensions Dimensions;
struct BlockIteratorState {
StorageIndex output_stride, output_span;
@@ -627,8 +619,7 @@ struct TensorBlockView {
template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockMapper {
public:
- typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
- TensorBlock;
+ typedef TensorBlock<Scalar, StorageIndex, NumDims, Layout> Block;
typedef DSizes<StorageIndex, NumDims> Dimensions;
TensorBlockMapper(const Dimensions& dims,
@@ -663,7 +654,7 @@ class TensorBlockMapper {
}
}
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Block
GetBlockForIndex(StorageIndex block_index, Scalar* data) const {
StorageIndex first_coeff_index = 0;
DSizes<StorageIndex, NumDims> coords;
@@ -711,8 +702,7 @@ class TensorBlockMapper {
}
}
- return TensorBlock(first_coeff_index, sizes, strides, m_tensor_strides,
- data);
+ return Block(first_coeff_index, sizes, strides, m_tensor_strides, data);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE StorageIndex total_block_count() const {
@@ -818,8 +808,7 @@ class TensorBlockMapper {
template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorSliceBlockMapper {
public:
- typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
- TensorBlock;
+ typedef TensorBlock<Scalar, StorageIndex, NumDims, Layout> Block;
typedef DSizes<StorageIndex, NumDims> Dimensions;
TensorSliceBlockMapper(const Dimensions& tensor_dims,
@@ -860,7 +849,7 @@ class TensorSliceBlockMapper {
}
}
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlock
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Block
GetBlockForIndex(StorageIndex block_index, Scalar* data) const {
StorageIndex first_coeff_index = 0;
DSizes<StorageIndex, NumDims> coords;
@@ -917,8 +906,7 @@ class TensorSliceBlockMapper {
}
}
- return TensorBlock(first_coeff_index, sizes, strides, m_tensor_strides,
- data);
+ return Block(first_coeff_index, sizes, strides, m_tensor_strides, data);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE StorageIndex total_block_count() const {