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Use signed integers instead of unsigned ones more consistently in the codebase.
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@ -495,7 +495,7 @@ struct TensorContractionEvaluatorBase
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internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value;
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static const int RDims =
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internal::array_size<typename TensorEvaluator<EvalRightArgType, Device>::Dimensions>::value;
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static const unsigned int ContractDims = internal::array_size<Indices>::value;
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static const int ContractDims = internal::array_size<Indices>::value;
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static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
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typedef array<Index, LDims> left_dim_mapper_t;
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@ -265,10 +265,10 @@ struct tensor_index_linearization_helper<Index, NumIndices, 0, RowMajor>
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// Dynamic size
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template <typename DenseIndex, std::size_t NumDims>
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template <typename DenseIndex, int NumDims>
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struct DSizes : array<DenseIndex, NumDims> {
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typedef array<DenseIndex, NumDims> Base;
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static const std::size_t count = NumDims;
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static const int count = NumDims;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const {
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return NumDims;
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@ -278,8 +278,8 @@ struct DSizes : array<DenseIndex, NumDims> {
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return internal::array_prod(*static_cast<const Base*>(this));
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}
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EIGEN_DEVICE_FUNC DSizes() {
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for (std::size_t i = 0 ; i < NumDims; ++i) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DSizes() {
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for (int i = 0 ; i < NumDims; ++i) {
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(*this)[i] = 0;
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}
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}
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@ -369,10 +369,10 @@ struct tensor_vsize_index_linearization_helper<Index, NumIndices, 0, RowMajor>
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namespace internal {
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template <typename DenseIndex, std::size_t NumDims> struct array_size<const DSizes<DenseIndex, NumDims> > {
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template <typename DenseIndex, int NumDims> struct array_size<const DSizes<DenseIndex, NumDims> > {
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static const size_t value = NumDims;
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};
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template <typename DenseIndex, std::size_t NumDims> struct array_size<DSizes<DenseIndex, NumDims> > {
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template <typename DenseIndex, int NumDims> struct array_size<DSizes<DenseIndex, NumDims> > {
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static const size_t value = NumDims;
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};
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#ifndef EIGEN_EMULATE_CXX11_META_H
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@ -63,7 +63,7 @@ class TensorStorage<T, FixedDimensions, Options_>
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// pure dynamic
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template<typename T, int Options_, typename IndexType, std::size_t NumIndices_>
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template<typename T, int Options_, typename IndexType, int NumIndices_>
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class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_>
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{
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public:
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