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Merge with upstream

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This commit is contained in:
Mehdi Goli 2018-08-09 14:07:56 +01:00
commit ea8fa5e86f
4 changed files with 16 additions and 6 deletions
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10
Eigen/src/Core/util/Macros.h
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@ -1092,5 +1092,15 @@ bool all(T t, Ts ... ts){ return t && all(ts...); }
} }
#endif #endif
// Wrapping #pragma unroll in a macro since it is required for SYCL
#if defined(__SYCL_DEVICE_ONLY__)
#if defined(_MSC_VER)
#define EIGEN_UNROLL_LOOP __pragma(unroll)
#else
#define EIGEN_UNROLL_LOOP _Pragma("unroll")
#endif
#else
#define EIGEN_UNROLL_LOOP
#endif
#endif // EIGEN_MACROS_H #endif // EIGEN_MACROS_H

6
test/main.h
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@ -193,7 +193,7 @@ namespace Eigen
#define EIGEN_DEFAULT_IO_FORMAT IOFormat(4, 0, " ", "\n", "", "", "", "") #define EIGEN_DEFAULT_IO_FORMAT IOFormat(4, 0, " ", "\n", "", "", "", "")
#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(__CUDA_ARCH__) && !defined(__HIP_DEVICE_COMPILE__) #if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(__CUDA_ARCH__) && !defined(__HIP_DEVICE_COMPILE__) && !defined(__SYCL_DEVICE_ONLY__)
#define EIGEN_EXCEPTIONS #define EIGEN_EXCEPTIONS
#endif #endif
@ -272,7 +272,7 @@ namespace Eigen
} }
#endif //EIGEN_EXCEPTIONS #endif //EIGEN_EXCEPTIONS
#elif !defined(__CUDACC__) && !defined(__HIPCC__)// EIGEN_DEBUG_ASSERTS #elif !defined(__CUDACC__) && !defined(__HIPCC__) && !defined(__SYCL_DEVICE_ONLY__) // EIGEN_DEBUG_ASSERTS
// see bug 89. The copy_bool here is working around a bug in gcc <= 4.3 // see bug 89. The copy_bool here is working around a bug in gcc <= 4.3
#define eigen_assert(a) \ #define eigen_assert(a) \
if( (!Eigen::internal::copy_bool(a)) && (!no_more_assert) )\ if( (!Eigen::internal::copy_bool(a)) && (!no_more_assert) )\
@ -329,7 +329,7 @@ namespace Eigen
std::cout << "Can't VERIFY_RAISES_STATIC_ASSERT( " #a " ) with exceptions disabled\n"; std::cout << "Can't VERIFY_RAISES_STATIC_ASSERT( " #a " ) with exceptions disabled\n";
#endif #endif
#if !defined(__CUDACC__) && !defined(__HIPCC__) #if !defined(__CUDACC__) && !defined(__HIPCC__) && !defined(__SYCL_DEVICE_ONLY__)
#define EIGEN_USE_CUSTOM_ASSERT #define EIGEN_USE_CUSTOM_ASSERT
#endif #endif

2
unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
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@ -89,7 +89,7 @@ EIGEN_STRONG_INLINE void MergeResourceRequirements(
// policy if block shapes/sizes conflict). // policy if block shapes/sizes conflict).
*block_shape = resources[0].block_shape; *block_shape = resources[0].block_shape;
*block_total_size = resources[0].block_total_size; *block_total_size = resources[0].block_total_size;
for (int i = 1; i < resources.size(); ++i) { for (std::vector<TensorOpResourceRequirements>::size_type i = 1; i < resources.size(); ++i) {
if (resources[i].block_shape == TensorBlockShapeType::kSkewedInnerDims && if (resources[i].block_shape == TensorBlockShapeType::kSkewedInnerDims &&
*block_shape != TensorBlockShapeType::kSkewedInnerDims) { *block_shape != TensorBlockShapeType::kSkewedInnerDims) {
*block_shape = TensorBlockShapeType::kSkewedInnerDims; *block_shape = TensorBlockShapeType::kSkewedInnerDims;

2
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
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@ -786,7 +786,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
}; };
EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const GpuDevice& device) 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) : m_inputImpl(op.inputExpression(), device), m_kernelImpl(op.kernelExpression(), device), m_kernelArg(op.kernelExpression()), m_indices(op.indices()), m_buf(NULL), m_kernel(NULL), m_local_kernel(false), m_device(device)
{ {
EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<InputArgType, GpuDevice>::Layout) == static_cast<int>(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);