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Fix #117011: add the TORCH_CHECK(grad_output) of upsample_nearest::backward() (#117100)

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add the TORCH_CHECK(grad_output) of upsample_nearest::backward()

Fixes #117011

Pull Request resolved: https://github.com/pytorch/pytorch/pull/117100
Approved by: https://github.com/lezcano
This commit is contained in:
wangkang1
2024-01-11 18:06:17 +00:00
committed by PyTorch MergeBot
parent f89725fb41
commit 9e3580f793
3 changed files with 3 additions and 0 deletions
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1
aten/src/ATen/native/cuda/UpSampleNearest1d.cu
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@ -175,6 +175,7 @@ static void upsample_nearest1d_backward_out_cuda_template(
dim3 gdim{ceil_div(n, bdim.x)};
// safe check for int32 indexing; implicitly restrict launch config for kernel
TORCH_CHECK(grad_input.numel() <= std::numeric_limits<int32_t>::max());
TORCH_CHECK(grad_output.numel() <= std::numeric_limits<int32_t>::max());
cudaStream_t stream = at::cuda::getCurrentCUDAStream();
AT_DISPATCH_FLOATING_TYPES_AND3(ScalarType::Half, ScalarType::BFloat16, ScalarType::Byte, grad_output.scalar_type(), "upsample_nearest1d_backward_out_frame", [&] {

1
aten/src/ATen/native/cuda/UpSampleNearest2d.cu
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@ -410,6 +410,7 @@ static void upsample_nearest2d_backward_out_cuda_template(
dim3 gdim{ceil_div(n, bdim.x)};
// safe check for int32 indexing; implicitly restrict launch config for kernel
TORCH_CHECK(grad_input.numel() <= std::numeric_limits<int32_t>::max());
TORCH_CHECK(grad_output.numel() <= std::numeric_limits<int32_t>::max());
cudaStream_t stream = at::cuda::getCurrentCUDAStream();
AT_DISPATCH_FLOATING_TYPES_AND3(ScalarType::Half, ScalarType::BFloat16, ScalarType::Byte, grad_output.scalar_type(), "upsample_nearest2d_backward_out_frame", [&] {

1
aten/src/ATen/native/cuda/UpSampleNearest3d.cu
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@ -255,6 +255,7 @@ static void upsample_nearest3d_backward_out_cuda_template(
dim3 gdim{ceil_div(n, bdim.x)};
// safe check for int32 indexing; implicitly restrict launch config for kernel
TORCH_CHECK(grad_input.numel() <= std::numeric_limits<int32_t>::max());
TORCH_CHECK(grad_output.numel() <= std::numeric_limits<int32_t>::max());
cudaStream_t stream = at::cuda::getCurrentCUDAStream();
AT_DISPATCH_FLOATING_TYPES_AND3(ScalarType::Half, ScalarType::BFloat16, ScalarType::Byte, grad_output.scalar_type(), "upsample_nearest3d_backward_out_frame", [&] {