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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-19 14:55:21 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-19 14:55:21 -0700
commit7129d998db0a8dd74125ad7081f3d220cbce96f0 (patch)
tree9e63ab4761eee9bb7168796939d486e95c62480a /unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
parentb9ea40c30d1d32d0f31b047aa681c384fd1a2c98 (diff)
Simplified the code that launches cuda kernels.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h12
1 files changed, 6 insertions, 6 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
index 02193f263..d80436326 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
@@ -126,11 +126,11 @@ struct FullReducer<Self, Op, GpuDevice, Vectorizable> {
internal::is_same<typename Self::CoeffReturnType, float>::value;
template <typename OutputType>
- static EIGEN_DEVICE_FUNC void run(const Self&, Op&, const GpuDevice&, OutputType*) {
+ static void run(const Self&, Op&, const GpuDevice&, OutputType*) {
assert(false && "Should only be called on floats");
}
- static EIGEN_DEVICE_FUNC void run(const Self& self, Op& reducer, const GpuDevice& device, float* output) {
+ static void run(const Self& self, Op& reducer, const GpuDevice& device, float* output) {
typedef typename Self::Index Index;
const Index num_coeffs = array_prod(self.m_impl.dimensions());
@@ -226,12 +226,12 @@ struct InnerReducer<Self, Op, GpuDevice> {
internal::is_same<typename Self::CoeffReturnType, float>::value;
template <typename Device, typename OutputType>
- static EIGEN_DEVICE_FUNC bool run(const Self&, Op&, const Device&, OutputType*, typename Self::Index, typename Self::Index) {
+ static bool run(const Self&, Op&, const Device&, OutputType*, typename Self::Index, typename Self::Index) {
assert(false && "Should only be called to reduce floats on a gpu device");
return true;
}
- static EIGEN_DEVICE_FUNC bool run(const Self& self, Op& reducer, const GpuDevice& device, float* output, typename Self::Index num_coeffs_to_reduce, typename Self::Index num_preserved_vals) {
+ static bool run(const Self& self, Op& reducer, const GpuDevice& device, float* output, typename Self::Index num_coeffs_to_reduce, typename Self::Index num_preserved_vals) {
typedef typename Self::Index Index;
// It's faster to use the usual code.
@@ -305,12 +305,12 @@ struct OuterReducer<Self, Op, GpuDevice> {
internal::is_same<typename Self::CoeffReturnType, float>::value;
template <typename Device, typename OutputType>
- static EIGEN_DEVICE_FUNC bool run(const Self&, Op&, const Device&, OutputType*, typename Self::Index, typename Self::Index) {
+ static bool run(const Self&, Op&, const Device&, OutputType*, typename Self::Index, typename Self::Index) {
assert(false && "Should only be called to reduce floats on a gpu device");
return true;
}
- static EIGEN_DEVICE_FUNC bool run(const Self& self, Op& reducer, const GpuDevice& device, float* output, typename Self::Index num_coeffs_to_reduce, typename Self::Index num_preserved_vals) {
+ static bool run(const Self& self, Op& reducer, const GpuDevice& device, float* output, typename Self::Index num_coeffs_to_reduce, typename Self::Index num_preserved_vals) {
typedef typename Self::Index Index;
// It's faster to use the usual code.