| #include <torch/torch.h> |
| #include <vector> |
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| at::Tensor BatchNorm_Forward_CUDA( |
| const at::Tensor input_, |
| const at::Tensor mean_, |
| const at::Tensor std_, |
| const at::Tensor gamma_, |
| const at::Tensor beta_); |
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| std::vector<at::Tensor> BatchNorm_Backward_CUDA( |
| const at::Tensor gradoutput_, |
| const at::Tensor input_, |
| const at::Tensor mean_, |
| const at::Tensor std_, |
| const at::Tensor gamma_, |
| const at::Tensor beta_, |
| bool train); |
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| std::vector<at::Tensor> Sum_Square_Forward_CUDA( |
| const at::Tensor input_); |
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| at::Tensor Sum_Square_Backward_CUDA( |
| const at::Tensor input_, |
| const at::Tensor gradSum_, |
| const at::Tensor gradSquare_); |
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