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#ifndef _AGGREGATION_CUDA_KERNEL |
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#define _AGGREGATION_CUDA_KERNEL |
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#include <vector> |
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#include <torch/serialize/tensor.h> |
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#include <ATen/cuda/CUDAContext.h> |
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void aggregation_forward_cuda(int n, int nsample, int c, int w_c, at::Tensor input_tensor, at::Tensor position_tensor, at::Tensor weight_tensor, at::Tensor idx_tensor, at::Tensor output_tensor); |
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void aggregation_backward_cuda(int n, int nsample, int c, int w_c, at::Tensor input_tensor, at::Tensor position_tensor, at::Tensor weight_tensor, at::Tensor idx_tensor, at::Tensor grad_output_tensor, at::Tensor grad_input_tensor, at::Tensor grad_position_tensor, at::Tensor grad_weight_tensor); |
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#ifdef __cplusplus |
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extern "C" { |
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#endif |
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void aggregation_forward_cuda_launcher(int n, int nsample, int c, int w_c, const float *input, const float *position, const float *weight, const int *idx, float *output); |
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void aggregation_backward_cuda_launcher(int n, int nsample, int c, int w_c, const float *input, const float *position, const float *weight, const int *idx, const float *grad_output, float *grad_input, float *grad_position, float *grad_weight); |
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#ifdef __cplusplus |
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} |
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#endif |
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#endif |
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