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authorGravatar Rasmus Larsen <rmlarsen@google.com>2019-05-20 17:02:39 +0000
committerGravatar Rasmus Larsen <rmlarsen@google.com>2019-05-20 17:02:39 +0000
commite92486b8c34272f6eae563665fc89b7f0abb902f (patch)
tree3e5554b3ec06ff8dcee8519ff6c5e824854deb89 /unsupported/Eigen/CXX11
parentcc7ecbb1241cdc16b0b0f27631c556d8eda5aa4b (diff)
parentfd595d42a76437cc9df0fcfbc49c5372e416c8d6 (diff)
Merged in rmlarsen/eigen (pull request PR-643)
Make Eigen build with cuda 10 and clang. Approved-by: Justin Lebar <justin.lebar@gmail.com>
Diffstat (limited to 'unsupported/Eigen/CXX11')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h4
1 files changed, 0 insertions, 4 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
index 0718ba2a1..7ee4a6087 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
@@ -674,10 +674,6 @@ struct InnerReductionLauncher<Self, Op, Eigen::half, true> {
if (num_blocks > 1) {
// We initialize the outputs outside the reduction kernel when we can't be sure that there
// won't be a race conditions between multiple thread blocks.
- const int dyn_blocks = divup<int>(num_preserved_vals, 1024);
- const int max_blocks = device.getNumGpuMultiProcessors() *
- device.maxGpuThreadsPerMultiProcessor() / 1024;
- const int num_blocks = numext::mini<int>(max_blocks, dyn_blocks);
LAUNCH_GPU_KERNEL((ReductionInitKernelHalfFloat<Self, Op, Index>),
1, 1, 0, device, reducer, self, num_preserved_vals, output);
}