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-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h13
1 files changed, 9 insertions, 4 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
index c33d54d6e..fd2587dd5 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionCuda.h
@@ -130,13 +130,18 @@ struct FullReducer<Self, Op, GpuDevice, Vectorizable> {
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());
+ // Don't crash when we're called with an input tensor of size 0.
+ if (num_coeffs == 0) {
+ return;
+ }
+
const int block_size = 256;
const int num_per_thread = 128;
- const int num_blocks = std::ceil(static_cast<float>(num_coeffs) / (block_size * num_per_thread));
+ const int num_blocks = divup<int>(num_coeffs, block_size * num_per_thread);
if (num_blocks > 1) {
// We initialize the outputs outside the reduction kernel when we can't be sure that there
@@ -231,7 +236,7 @@ struct InnerReducer<Self, Op, GpuDevice> {
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.
@@ -310,7 +315,7 @@ struct OuterReducer<Self, Op, GpuDevice> {
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.