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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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#include "aggregation_cuda_kernel.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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{ |
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const float *input = input_tensor.data_ptr<float>(); |
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const float *position = position_tensor.data_ptr<float>(); |
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const float *weight = weight_tensor.data_ptr<float>(); |
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const int *idx = idx_tensor.data_ptr<int>(); |
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float *output = output_tensor.data_ptr<float>(); |
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aggregation_forward_cuda_launcher(n, nsample, c, w_c, input, position, weight, idx, output); |
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} |
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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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{ |
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const float *input = input_tensor.data_ptr<float>(); |
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const float *position = position_tensor.data_ptr<float>(); |
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const float *weight = weight_tensor.data_ptr<float>(); |
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const int *idx = idx_tensor.data_ptr<int>(); |
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const float *grad_output = grad_output_tensor.data_ptr<float>(); |
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float *grad_input = grad_input_tensor.data_ptr<float>(); |
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float *grad_position = grad_position_tensor.data_ptr<float>(); |
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float *grad_weight = grad_weight_tensor.data_ptr<float>(); |
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aggregation_backward_cuda_launcher(n, nsample, c, w_c, input, position, weight, idx, grad_output, grad_input, grad_position, grad_weight); |
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} |
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