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!12844 Add float64 support to Absgrad and SqrtGrad 

From: @peilin-wang
Reviewed-by: @tom__chen,@robingrosman
Signed-off-by: @robingrosman
This commit is contained in:
mindspore-ci-bot 2021-03-05 02:38:58 +08:00 committed by Gitee
parent 7104e42304 a0645c41fe
commit 504f45566b
4 changed files with 27 additions and 1 deletions
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17
mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/unary_op_grad_impl.cu
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@ -170,6 +170,23 @@ void ReciprocalGrad(const T *input, const T *dout, T *output, const size_t count
return; return;
} }
template void SqrtGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void RsqrtGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void AsinGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void ACosGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void AtanGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void AsinhGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void AcoshGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void ReciprocalGrad<double>(const double *input, const double *dout, double *output, const size_t count,
cudaStream_t cuda_stream);
template void SqrtGrad<float>(const float *input, const float *dout, float *output, const size_t count, template void SqrtGrad<float>(const float *input, const float *dout, float *output, const size_t count,
cudaStream_t cuda_stream); cudaStream_t cuda_stream);
template void RsqrtGrad<float>(const float *input, const float *dout, float *output, const size_t count, template void RsqrtGrad<float>(const float *input, const float *dout, float *output, const size_t count,

4
mindspore/ccsrc/backend/kernel_compiler/gpu/math/broadcast_gpu_kernel.cc
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@ -31,6 +31,10 @@ MS_REG_GPU_KERNEL_ONE(
MS_REG_GPU_KERNEL_ONE( MS_REG_GPU_KERNEL_ONE(
Div, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64), Div, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
BroadcastOpGpuKernel, double) BroadcastOpGpuKernel, double)
MS_REG_GPU_KERNEL_ONE(
AbsGrad,
KernelAttr().AddInputAttr(kNumberTypeFloat64).AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
BroadcastOpGpuKernel, double)
// fp32 // fp32
MS_REG_GPU_KERNEL_ONE( MS_REG_GPU_KERNEL_ONE(

4
mindspore/ccsrc/backend/kernel_compiler/gpu/math/unary_op_grad_gpu_kernel.cc
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@ -18,6 +18,10 @@
namespace mindspore { namespace mindspore {
namespace kernel { namespace kernel {
MS_REG_GPU_KERNEL_ONE(
SqrtGrad,
KernelAttr().AddInputAttr(kNumberTypeFloat64).AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
UnaryGradOpGpuKernel, double)
MS_REG_GPU_KERNEL_ONE( MS_REG_GPU_KERNEL_ONE(
SqrtGrad, SqrtGrad,
KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),

3
mindspore/ops/operations/_grad_ops.py
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@ -183,7 +183,8 @@ class SqrtGrad(PrimitiveWithInfer):
def infer_dtype(self, x_dtype, dout_dtype): def infer_dtype(self, x_dtype, dout_dtype):
args = {"x": x_dtype, "dout": dout_dtype} args = {"x": x_dtype, "dout": dout_dtype}
validator.check_tensors_dtypes_same_and_valid(args, [mstype.float16, mstype.float32], self.name) valid_types = [mstype.float16, mstype.float32, mstype.float64]
validator.check_tensors_dtypes_same_and_valid(args, valid_types, self.name)
return x_dtype return x_dtype