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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-09-13 14:32:25 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-09-13 14:36:05 -0700 |
| commit | d6f9d6109474a9162ef4d99520a2d4ef0becfb14 (patch) | |
| tree | 697b9ef4b78b4ab570d7f1a074219844813cc9ed /tensorflow/core/kernels/l2loss_op_gpu.cu.cc | |
| parent | f445958edbca3ad292c9ed8c9de0c7e047b1d2bd (diff) | |
Switch the softmax to use the new deterministic reductions on the GPU,
results in a speed up of 10-40x on the existing ImageNet benchmarks and 2-3x
on the newly added transformer benchmarks.
Update the benchmark to also run on the GPU.
Remove duplicate cpu tests.
PiperOrigin-RevId: 168596693
Diffstat (limited to 'tensorflow/core/kernels/l2loss_op_gpu.cu.cc')
| -rw-r--r-- | tensorflow/core/kernels/l2loss_op_gpu.cu.cc | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/core/kernels/l2loss_op_gpu.cu.cc b/tensorflow/core/kernels/l2loss_op_gpu.cu.cc index 73b6472254..5826997de6 100644 --- a/tensorflow/core/kernels/l2loss_op_gpu.cu.cc +++ b/tensorflow/core/kernels/l2loss_op_gpu.cu.cc @@ -21,8 +21,8 @@ limitations under the License. #include "tensorflow/core/framework/register_types.h" +#include "tensorflow/core/kernels/reduction_gpu_kernels.cu.h" #include "tensorflow/core/kernels/reduction_ops_common.h" -#include "tensorflow/core/kernels/reduction_ops_gpu_kernels.h" namespace tensorflow { @@ -56,7 +56,7 @@ class L2LossOp<GPUDevice, T> : public OpKernel { Constants<GPUDevice> constants; functor::ReduceImpl<T, cub::Sum, T*, inputIterType, ReductionAxes>( context, (T*)output->flat<T>().data(), input_itr, 1, - input.flat<T>().size(), 1, 1, 0, constants.kZero, cub::Sum(), T(0)); + input.flat<T>().size(), 1, 1, 0, constants.kZero, cub::Sum()); } }; |