#include <SparseConvBackpropFilterOpKernel.h>
|
| | SparseConvBackpropFilterOpKernel (tensorflow::OpKernelConstruction *construction) |
| void | Compute (tensorflow::OpKernelContext *context) override |
| virtual void | Kernel (tensorflow::OpKernelContext *context, const tensorflow::Tensor &filters, const tensorflow::Tensor &inp_features, const tensorflow::Tensor &inp_importance, const tensorflow::Tensor &neighbors_index, const tensorflow::Tensor &neighbors_kernel_index, const tensorflow::Tensor &neighbors_importance, const tensorflow::Tensor &neighbors_row_splits, const tensorflow::Tensor &out_features_gradient, const std::vector< int > &filter_dims, const bool point_importances, const bool has_neighbors_importances, tensorflow::Tensor &filter_backprop)=0 |
◆ SparseConvBackpropFilterOpKernel()
◆ Compute()
◆ Kernel()
template<class TIndex>
| virtual void SparseConvBackpropFilterOpKernel< TIndex >::Kernel |
( |
tensorflow::OpKernelContext * | context, |
|
|
const tensorflow::Tensor & | filters, |
|
|
const tensorflow::Tensor & | inp_features, |
|
|
const tensorflow::Tensor & | inp_importance, |
|
|
const tensorflow::Tensor & | neighbors_index, |
|
|
const tensorflow::Tensor & | neighbors_kernel_index, |
|
|
const tensorflow::Tensor & | neighbors_importance, |
|
|
const tensorflow::Tensor & | neighbors_row_splits, |
|
|
const tensorflow::Tensor & | out_features_gradient, |
|
|
const std::vector< int > & | filter_dims, |
|
|
const bool | point_importances, |
|
|
const bool | has_neighbors_importances, |
|
|
tensorflow::Tensor & | filter_backprop ) |
|
pure virtual |
◆ max_temp_mem_MB
◆ normalize
The documentation for this class was generated from the following file: