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Silenced more compilation warnings

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This commit is contained in:
Benoit Steiner 2015-02-10 12:25:02 -08:00
parent 114e863f08
commit 057cfd2f02
3 changed files with 12 additions and 12 deletions
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8
unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
View File

@ -85,7 +85,7 @@ struct TensorEvaluator
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(const array<DenseIndex, NumCoords>& coords) const {
eigen_assert(m_data);
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
return m_data[m_dims.IndexOfColMajor(coords)];
} else {
return m_data[m_dims.IndexOfRowMajor(coords)];
@ -158,7 +158,7 @@ struct TensorEvaluator<const Derived, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(const array<DenseIndex, NumCoords>& coords) const {
eigen_assert(m_data);
const Index index = (Layout == ColMajor) ? m_dims.IndexOfColMajor(coords)
const Index index = (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? m_dims.IndexOfColMajor(coords)
: m_dims.IndexOfRowMajor(coords);
#ifdef __CUDA_ARCH__
return __ldg(m_data+index);
@ -366,8 +366,8 @@ struct TensorEvaluator<const TensorSelectOp<IfArgType, ThenArgType, ElseArgType>
m_thenImpl(op.thenExpression(), device),
m_elseImpl(op.elseExpression(), device)
{
EIGEN_STATIC_ASSERT((TensorEvaluator<IfArgType, Device>::Layout == TensorEvaluator<ThenArgType, Device>::Layout), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((TensorEvaluator<IfArgType, Device>::Layout == TensorEvaluator<ElseArgType, Device>::Layout), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<IfArgType, Device>::Layout) == static_cast<int>(TensorEvaluator<ThenArgType, Device>::Layout)), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<IfArgType, Device>::Layout) == static_cast<int>(TensorEvaluator<ElseArgType, Device>::Layout)), YOU_MADE_A_PROGRAMMING_MISTAKE);
eigen_assert(dimensions_match(m_condImpl.dimensions(), m_thenImpl.dimensions()));
eigen_assert(dimensions_match(m_thenImpl.dimensions(), m_elseImpl.dimensions()));
}

12
unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
View File

@ -308,7 +308,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions();
const Sizes& output_dims = op.sizes();
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
m_inputStrides[0] = 1;
for (int i = 1; i < NumDims; ++i) {
m_inputStrides[i] = m_inputStrides[i-1] * input_dims[i-1];
@ -348,7 +348,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
m_impl.evalSubExprsIfNeeded(NULL);
if (internal::is_arithmetic<Scalar>::value && data && m_impl.data()) {
Index contiguous_values = 1;
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = 0; i < NumDims; ++i) {
contiguous_values *= dimensions()[i];
if (dimensions()[i] != m_impl.dimensions()[i]) {
@ -394,7 +394,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
Index inputIndices[] = {0, 0};
Index indices[] = {index, index + packetSize - 1};
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = NumDims - 1; i > 0; --i) {
const Index idx0 = indices[0] / m_fastOutputStrides[i];
const Index idx1 = indices[1] / m_fastOutputStrides[i];
@ -446,7 +446,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
Scalar* result = m_impl.data();
if (result) {
Index offset = 0;
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = 0; i < NumDims; ++i) {
if (m_dimensions[i] != m_impl.dimensions()[i]) {
offset += m_offsets[i] * m_inputStrides[i];
@ -482,7 +482,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index srcCoeff(Index index) const
{
Index inputIndex = 0;
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = NumDims - 1; i > 0; --i) {
const Index idx = index / m_fastOutputStrides[i];
inputIndex += (idx + m_offsets[i]) * m_inputStrides[i];
@ -547,7 +547,7 @@ struct TensorEvaluator<TensorSlicingOp<StartIndices, Sizes, ArgType>, Device>
const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
Index inputIndices[] = {0, 0};
Index indices[] = {index, index + packetSize - 1};
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = NumDims - 1; i > 0; --i) {
const Index idx0 = indices[0] / this->m_fastOutputStrides[i];
const Index idx1 = indices[1] / this->m_fastOutputStrides[i];

4
unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
View File

@ -106,7 +106,7 @@ struct TensorEvaluator<const TensorReverseOp<ReverseDimensions, ArgType>, Device
{
// Compute strides
m_dimensions = m_impl.dimensions();
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
m_strides[0] = 1;
for (int i = 1; i < NumDims; ++i) {
m_strides[i] = m_strides[i-1] * m_dimensions[i-1];
@ -138,7 +138,7 @@ struct TensorEvaluator<const TensorReverseOp<ReverseDimensions, ArgType>, Device
{
eigen_assert(index < dimensions().TotalSize());
Index inputIndex = 0;
if (Layout == ColMajor) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
for (int i = NumDims - 1; i > 0; --i) {
Index idx = index / m_strides[i];
index -= idx * m_strides[i];