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fix(pt): throw errors for GPU tensors and the CPU OP library #4582

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Merged
njzjz merged 1 commit into from
Feb 7, 2025
Merged

fix(pt): throw errors for GPU tensors and the CPU OP library #4582

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36 changes: 36 additions & 0 deletions source/op/pt/tabulate_multi_device.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,10 @@ void TabulateFusionSeAForward(const torch::Tensor& table_tensor,
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
deepmd::tabulate_fusion_se_a_gpu(descriptor, table, table_info, em_x, em,
two_embed, nloc, nnei, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_a_cpu(descriptor, table, table_info, em_x, em,
Expand Down Expand Up @@ -110,6 +114,10 @@ void TabulateFusionSeAGradForward(const torch::Tensor& table_tensor,
deepmd::tabulate_fusion_se_a_grad_gpu(dy_dem_x, dy_dem, dy_dtwo, table,
table_info, em_x, em, two_embed, dy,
nloc, nnei, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_a_grad_cpu(dy_dem_x, dy_dem, dy_dtwo, table,
Expand Down Expand Up @@ -166,6 +174,10 @@ void TabulateFusionSeAGradGradForward(const torch::Tensor& table_tensor,
deepmd::tabulate_fusion_se_a_grad_grad_gpu(
dz_dy, table, table_info, em_x, em, two_embed, dz_dy_dem_x, dz_dy_dem,
dz_dy_dtwo, nloc, nnei, last_layer_size, is_sorted);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
TORCH_CHECK(last_layer_size <= 1024,
"In the process of model compression, the size of the "
Expand Down Expand Up @@ -212,6 +224,10 @@ void TabulateFusionSeTForward(const torch::Tensor& table_tensor,
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
deepmd::tabulate_fusion_se_t_gpu(descriptor, table, table_info, em_x, em,
nloc, nnei_i, nnei_j, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_t_cpu(descriptor, table, table_info, em_x, em,
Expand Down Expand Up @@ -254,6 +270,10 @@ void TabulateFusionSeTGradForward(const torch::Tensor& table_tensor,
deepmd::tabulate_fusion_se_t_grad_gpu(dy_dem_x, dy_dem, table, table_info,
em_x, em, dy, nloc, nnei_i, nnei_j,
last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_t_grad_cpu(dy_dem_x, dy_dem, table, table_info,
Expand Down Expand Up @@ -300,6 +320,10 @@ void TabulateFusionSeTGradGradForward(const torch::Tensor& table_tensor,
deepmd::tabulate_fusion_se_t_grad_grad_gpu(dz_dy, table, table_info, em_x,
em, dz_dy_dem_x, dz_dy_dem, nloc,
nnei_i, nnei_j, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
TORCH_CHECK(last_layer_size <= 1024,
"In the process of model compression, the size of the "
Expand Down Expand Up @@ -340,6 +364,10 @@ void TabulateFusionSeRForward(const torch::Tensor& table_tensor,
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
deepmd::tabulate_fusion_se_r_gpu(descriptor, table, table_info, em, nloc,
nnei, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_r_cpu(descriptor, table, table_info, em, nloc,
Expand Down Expand Up @@ -376,6 +404,10 @@ void TabulateFusionSeRGradForward(const torch::Tensor& table_tensor,
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
deepmd::tabulate_fusion_se_r_grad_gpu(dy_dem, table, table_info, em, dy,
nloc, nnei, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
} else if (device == "CPU") {
deepmd::tabulate_fusion_se_r_grad_cpu(dy_dem, table, table_info, em, dy,
Expand Down Expand Up @@ -412,6 +444,10 @@ void TabulateFusionSeRGradGradForward(const torch::Tensor& table_tensor,
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
deepmd::tabulate_fusion_se_r_grad_grad_gpu(
dz_dy, table, table_info, em, dz_dy_dem, nloc, nnei, last_layer_size);
#else
throw std::runtime_error(
"The input tensor is on the GPU, but the GPU support for the "
"customized OP library is not enabled.");
#endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
TORCH_CHECK(last_layer_size <= 1024,
"In the process of model compression, the size of the "
Expand Down