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