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Use signed integers instead of unsigned ones more consistently in the codebase.

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This commit is contained in:
Benoit Steiner 2015-12-04 18:14:16 -08:00
parent 490d26e4c1
commit f4ca8ad917
3 changed files with 8 additions and 8 deletions
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2
unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
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@ -495,7 +495,7 @@ struct TensorContractionEvaluatorBase
internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value; internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value;
static const int RDims = static const int RDims =
internal::array_size<typename TensorEvaluator<EvalRightArgType, Device>::Dimensions>::value; internal::array_size<typename TensorEvaluator<EvalRightArgType, Device>::Dimensions>::value;
static const unsigned int ContractDims = internal::array_size<Indices>::value; static const int ContractDims = internal::array_size<Indices>::value;
static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size; static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
typedef array<Index, LDims> left_dim_mapper_t; typedef array<Index, LDims> left_dim_mapper_t;

12
unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h
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@ -265,10 +265,10 @@ struct tensor_index_linearization_helper<Index, NumIndices, 0, RowMajor>
// Dynamic size // Dynamic size
template <typename DenseIndex, std::size_t NumDims> template <typename DenseIndex, int NumDims>
struct DSizes : array<DenseIndex, NumDims> { struct DSizes : array<DenseIndex, NumDims> {
typedef array<DenseIndex, NumDims> Base; typedef array<DenseIndex, NumDims> Base;
static const std::size_t count = NumDims; static const int count = NumDims;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const { EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const {
return NumDims; return NumDims;
@ -278,8 +278,8 @@ struct DSizes : array<DenseIndex, NumDims> {
return internal::array_prod(*static_cast<const Base*>(this)); return internal::array_prod(*static_cast<const Base*>(this));
} }
EIGEN_DEVICE_FUNC DSizes() { EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DSizes() {
for (std::size_t i = 0 ; i < NumDims; ++i) { for (int i = 0 ; i < NumDims; ++i) {
(*this)[i] = 0; (*this)[i] = 0;
} }
} }
@ -369,10 +369,10 @@ struct tensor_vsize_index_linearization_helper<Index, NumIndices, 0, RowMajor>
namespace internal { namespace internal {
template <typename DenseIndex, std::size_t NumDims> struct array_size<const DSizes<DenseIndex, NumDims> > { template <typename DenseIndex, int NumDims> struct array_size<const DSizes<DenseIndex, NumDims> > {
static const size_t value = NumDims; static const size_t value = NumDims;
}; };
template <typename DenseIndex, std::size_t NumDims> struct array_size<DSizes<DenseIndex, NumDims> > { template <typename DenseIndex, int NumDims> struct array_size<DSizes<DenseIndex, NumDims> > {
static const size_t value = NumDims; static const size_t value = NumDims;
}; };
#ifndef EIGEN_EMULATE_CXX11_META_H #ifndef EIGEN_EMULATE_CXX11_META_H

2
unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
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@ -63,7 +63,7 @@ class TensorStorage<T, FixedDimensions, Options_>
// pure dynamic // pure dynamic
template<typename T, int Options_, typename IndexType, std::size_t NumIndices_> template<typename T, int Options_, typename IndexType, int NumIndices_>
class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_> class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_>
{ {
public: public: