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| author |  Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-02-10 12:43:55 -0800 |
|---|---|---|
| committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-02-10 12:43:55 -0800 |
| commit | 780b2422e2b3fd2b50121a6e5642c94b030fbf5b (patch) | |
| tree | d08b3130663bcc426d13a1a0fc750d976b868ac9 /unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h | |
| parent | c21e45fbc5b82a2f99113e8b6ab0005ca01a7428 (diff) | |
Silenced the last batch of compilation warnings triggered by gcc 4.8
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h')
| -rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h index aecef3313..591fd2464 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h @@ -236,9 +236,9 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) : m_inputImpl(op.inputExpression(), device), m_kernelImpl(op.kernelExpression(), device), m_kernelArg(op.kernelExpression()), m_kernel(NULL), m_local_kernel(false), m_device(device) { - EIGEN_STATIC_ASSERT((TensorEvaluator<InputArgType, Device>::Layout == TensorEvaluator<KernelArgType, Device>::Layout), YOU_MADE_A_PROGRAMMING_MISTAKE); + EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<InputArgType, Device>::Layout) == static_cast<int>(TensorEvaluator<KernelArgType, Device>::Layout)), YOU_MADE_A_PROGRAMMING_MISTAKE); // Only column major tensors are supported for now. - EIGEN_STATIC_ASSERT((Layout == ColMajor), YOU_MADE_A_PROGRAMMING_MISTAKE); + EIGEN_STATIC_ASSERT((static_cast<int>(Layout) == static_cast<int>(ColMajor)), YOU_MADE_A_PROGRAMMING_MISTAKE); const typename TensorEvaluator<InputArgType, Device>::Dimensions& input_dims = m_inputImpl.dimensions(); const typename TensorEvaluator<KernelArgType, Device>::Dimensions& kernel_dims = m_kernelImpl.dimensions(); @@ -339,7 +339,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr } } - Scalar* data() const { return NULL; } + EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } private: EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index firstInput(Index index) const { @@ -621,9 +621,9 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const GpuDevice& device) : m_inputImpl(op.inputExpression(), device), m_kernelArg(op.kernelExpression()), m_kernelImpl(op.kernelExpression(), device), m_indices(op.indices()), m_buf(NULL), m_kernel(NULL), m_local_kernel(false), m_device(device) { - EIGEN_STATIC_ASSERT((TensorEvaluator<InputArgType, GpuDevice>::Layout == TensorEvaluator<KernelArgType, GpuDevice>::Layout), YOU_MADE_A_PROGRAMMING_MISTAKE); + EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<InputArgType, GpuDevice>::Layout) == static_cast<int>(TensorEvaluator<KernelArgType, GpuDevice>::Layout)), YOU_MADE_A_PROGRAMMING_MISTAKE); // Only column major tensors are supported for now. - EIGEN_STATIC_ASSERT((Layout == ColMajor), YOU_MADE_A_PROGRAMMING_MISTAKE); + EIGEN_STATIC_ASSERT((static_cast<int>(Layout) == static_cast<int>(ColMajor)), YOU_MADE_A_PROGRAMMING_MISTAKE); const typename TensorEvaluator<InputArgType, GpuDevice>::Dimensions& input_dims = m_inputImpl.dimensions(); const typename TensorEvaluator<KernelArgType, GpuDevice>::Dimensions& kernel_dims = m_kernelImpl.dimensions(); |