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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-11 11:43:37 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-11 11:43:37 -0800
commit2c3b13eded68aa0cef0185a7db9483bfc27d749b (patch)
tree5dcd63ebd6736c037dfdab7043f4be47c2386917 /unsupported/Eigen/CXX11/src/Tensor
parent2ccb1c86342203cbc25a587590149d2cf5175900 (diff)
parent91678f489a89b1f4a393cd3b703e67922b5c4257 (diff)
Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152)
Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorDeviceCuda.h8
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h2
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h2
3 files changed, 9 insertions, 3 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceCuda.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceCuda.h
index af140a68b..c74613873 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceCuda.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceCuda.h
@@ -238,9 +238,15 @@ struct GpuDevice {
};
+#ifndef __CUDA_ARCH__
#define LAUNCH_CUDA_KERNEL(kernel, gridsize, blocksize, sharedmem, device, ...) \
- (kernel) <<< (gridsize), (blocksize), (sharedmem), (device).stream() >>> (__VA_ARGS__); \
+ (kernel) <<< (gridsize), (blocksize), (sharedmem), (device).stream() >>> (__VA_ARGS__); \
assert(cudaGetLastError() == cudaSuccess);
+#else
+#define LAUNCH_CUDA_KERNEL(kernel, ...) \
+ { static const auto __attribute__((__unused__)) __makeTheKernelInstantiate = &(kernel); } \
+ eigen_assert(false && "Cannot launch a kernel from another kernel" __CUDA_ARCH__);
+#endif
// FIXME: Should be device and kernel specific.
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
index 7bd2326b0..8028e71c0 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
@@ -505,7 +505,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device>
typedef typename internal::remove_const<typename XprType::CoeffReturnType>::type CoeffReturnType;
typedef typename internal::remove_const<typename XprType::PacketReturnType>::type PacketReturnType;
- EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(CoeffReturnType* data) {
+ EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool evalSubExprsIfNeeded(CoeffReturnType* data) {
m_impl.evalSubExprsIfNeeded(NULL);
// Use the FullReducer if possible.
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
index 198b3604c..3fa3d5c3c 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
@@ -116,7 +116,7 @@ struct FullReducer<Self, Op, GpuDevice, Vectorizable> {
template <typename OutputType>
static void run(const Self& self, Op& reducer, const GpuDevice& device, OutputType* output) {
- assert(false && "Should only be called on floats");
+ eigen_assert(false && "Should only be called on floats");
}
static void run(const Self& self, Op& reducer, const GpuDevice& device, float* output) {