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Fixed compilation errors with gcc 4.7 and 4.8

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This commit is contained in:
Benoit Steiner 2018-08-14 10:54:48 -07:00
parent eabc7a4031
commit 59bba77ead
2 changed files with 14 additions and 14 deletions
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26
unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
View File

@ -73,7 +73,7 @@ struct TensorOpResourceRequirements {
// expression tree (like reductions) to communicate resources
// requirements based on local state (like the total number of reductions
// to be computed).
TensorOpResourceRequirements(internal::TensorBlockShapeType shape,
TensorOpResourceRequirements(TensorBlockShapeType shape,
const Index size)
: block_shape(shape), block_total_size(size) {}
};
@ -90,9 +90,9 @@ EIGEN_STRONG_INLINE void MergeResourceRequirements(
*block_shape = resources[0].block_shape;
*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 == TensorBlockShapeType::kSkewedInnerDims &&
*block_shape != TensorBlockShapeType::kSkewedInnerDims) {
*block_shape = TensorBlockShapeType::kSkewedInnerDims;
if (resources[i].block_shape == kSkewedInnerDims &&
*block_shape ! kSkewedInnerDims) {
*block_shape = kSkewedInnerDims;
}
*block_total_size =
numext::maxi(*block_total_size, resources[i].block_total_size);
@ -178,9 +178,9 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout,
bool BlockRead>
class TensorBlockIO {
public:
typedef typename internal::TensorBlock<Scalar, StorageIndex, NumDims, Layout>
typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
TensorBlock;
typedef typename internal::TensorBlockCopyOp<Scalar, StorageIndex>
typedef typename TensorBlockCopyOp<Scalar, StorageIndex>
TensorBlockCopyOp;
protected:
@ -320,7 +320,7 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockReader : public TensorBlockIO<Scalar, StorageIndex, NumDims,
Layout, /*BlockRead=*/true> {
public:
typedef typename internal::TensorBlock<Scalar, StorageIndex, NumDims, Layout>
typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
TensorBlock;
typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/true>
Base;
@ -357,7 +357,7 @@ template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockWriter : public TensorBlockIO<Scalar, StorageIndex, NumDims,
Layout, /*BlockRead=*/false> {
public:
typedef typename internal::TensorBlock<Scalar, StorageIndex, NumDims, Layout>
typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
TensorBlock;
typedef TensorBlockIO<Scalar, StorageIndex, NumDims, Layout, /*BlockRead=*/false>
Base;
@ -434,7 +434,7 @@ struct TensorBlockCwiseBinaryOp {
template <typename BinaryFunctor, typename StorageIndex, typename OutputScalar,
int NumDims, int Layout>
struct TensorBlockCwiseBinaryIO {
typedef typename internal::TensorBlock<OutputScalar, StorageIndex, NumDims,
typedef typename TensorBlock<OutputScalar, StorageIndex, NumDims,
Layout>::Dimensions Dimensions;
struct BlockIteratorState {
@ -627,7 +627,7 @@ struct TensorBlockView {
template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorBlockMapper {
public:
typedef typename internal::TensorBlock<Scalar, StorageIndex, NumDims, Layout>
typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
TensorBlock;
typedef DSizes<StorageIndex, NumDims> Dimensions;
@ -742,7 +742,7 @@ class TensorBlockMapper {
block_dim_sizes[i] = 1;
}
} else if (block_dim_sizes.TotalSize() > min_target_size) {
if (block_shape == TensorBlockShapeType::kUniformAllDims) {
if (block_shape == kUniformAllDims) {
// Tensor will not fit within 'min_target_size' budget: calculate tensor
// block dimension sizes based on "square" dimension size target.
const size_t dim_size_target = static_cast<const size_t>(
@ -773,7 +773,7 @@ class TensorBlockMapper {
total_size = total_size_other_dims * block_dim_sizes[dim];
}
}
} else if (block_shape == TensorBlockShapeType::kSkewedInnerDims) {
} else if (block_shape == kSkewedInnerDims) {
StorageIndex coeff_to_allocate = min_target_size;
for (int i = 0; i < NumDims; ++i) {
const int dim = cond<Layout>()(i, NumDims - i - 1);
@ -818,7 +818,7 @@ class TensorBlockMapper {
template <typename Scalar, typename StorageIndex, int NumDims, int Layout>
class TensorSliceBlockMapper {
public:
typedef typename internal::TensorBlock<Scalar, StorageIndex, NumDims, Layout>
typedef typename TensorBlock<Scalar, StorageIndex, NumDims, Layout>
TensorBlock;
typedef DSizes<StorageIndex, NumDims> Dimensions;

2
unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
View File

@ -155,7 +155,7 @@ struct TensorContractionParams {
// See expected implementation in NoOpOutputKernel.
struct OutputKernel {
template <typename Index, typename Scalar>
using OutputMapper = internal::blas_data_mapper<Scalar, Index, ColMajor>;
typedef internal::blas_data_mapper<Scalar, Index, ColMajor> OutputMapper;
};
// Output kernel that does absolutely nothing.