#include <torch/script.h>
#include <vector>
Go to the source code of this file.
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| template<class TFeat, class TOut, class TIndex, class TKernelIndex> |
| void | SparseConvTransposeBackpropFilterCPU (const torch::Tensor &filters, const torch::Tensor &out_importance, const torch::Tensor &inp_features, const torch::Tensor &inp_neighbors_importance_sum, const torch::Tensor &inp_neighbors_row_splits, const torch::Tensor &neighbors_index, const torch::Tensor &neighbors_kernel_index, const torch::Tensor &neighbors_importance, const torch::Tensor &neighbors_row_splits, const torch::Tensor &out_features_gradient, const bool normalize, const int64_t max_temp_mem_MB, torch::Tensor &filter_backprop) |
◆ SparseConvTransposeBackpropFilterCPU()
template<class TFeat, class TOut, class TIndex, class TKernelIndex>
| void SparseConvTransposeBackpropFilterCPU |
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const torch::Tensor & | filters, |
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const torch::Tensor & | out_importance, |
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const torch::Tensor & | inp_features, |
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const torch::Tensor & | inp_neighbors_importance_sum, |
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const torch::Tensor & | inp_neighbors_row_splits, |
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const torch::Tensor & | neighbors_index, |
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const torch::Tensor & | neighbors_kernel_index, |
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const torch::Tensor & | neighbors_importance, |
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const torch::Tensor & | neighbors_row_splits, |
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const torch::Tensor & | out_features_gradient, |
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const bool | normalize, |
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const int64_t | max_temp_mem_MB, |
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torch::Tensor & | filter_backprop ) |