Open3D (C++ API)  0.18.0
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SparseConvTransposeBackpropFilterOpKernel.h
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1// ----------------------------------------------------------------------------
2// - Open3D: www.open3d.org -
3// ----------------------------------------------------------------------------
4// Copyright (c) 2018-2023 www.open3d.org
5// SPDX-License-Identifier: MIT
6// ----------------------------------------------------------------------------
7
8#pragma once
9
10#include <tensorflow/core/framework/op.h>
11#include <tensorflow/core/framework/op_kernel.h>
12#include <tensorflow/core/lib/core/errors.h>
13
15
16template <class TIndex>
17class SparseConvTransposeBackpropFilterOpKernel : public tensorflow::OpKernel {
18public:
20 tensorflow::OpKernelConstruction* construction)
21 : OpKernel(construction) {
22 using namespace tensorflow;
23 OP_REQUIRES_OK(construction,
24 construction->GetAttr("normalize", &normalize));
25
26 OP_REQUIRES_OK(construction, construction->GetAttr("max_temp_mem_MB",
28 }
29
30 void Compute(tensorflow::OpKernelContext* context) override {
31 using namespace tensorflow;
32 using namespace open3d::ml::op_util;
33 static_assert(sizeof(int64) == sizeof(int64_t),
34 "int64 type is not compatible");
35
36 const Tensor& filters = context->input(0);
37 const Tensor& out_importance = context->input(1);
38 const Tensor& inp_features = context->input(2);
39 const Tensor& inp_neighbors_importance_sum = context->input(3);
40 const Tensor& inp_neighbors_row_splits = context->input(4);
41 const Tensor& neighbors_index = context->input(5);
42 const Tensor& neighbors_kernel_index = context->input(6);
43 const Tensor& neighbors_importance = context->input(7);
44 const Tensor& neighbors_row_splits = context->input(8);
45 const Tensor& out_features_gradient = context->input(9);
46
47 Dim num_out("num_out");
48 Dim num_inp("num_inp");
49 Dim num_kernel_elements("num_kernel_elements");
50 Dim in_channels("in_channels");
51 Dim out_channels("out_channels");
52 Dim num_neighbors("num_neighbors");
53
54 CHECK_SHAPE_COMBINE_FIRST_DIMS(context, filters, num_kernel_elements,
55 in_channels, out_channels);
56 CHECK_SHAPE(context, neighbors_row_splits, num_out + 1);
57 CHECK_SHAPE(context, out_importance, 0 || num_out);
58 CHECK_SHAPE(context, inp_features, num_inp, in_channels);
59 CHECK_SHAPE(context, inp_neighbors_importance_sum, 0 || num_inp);
60 CHECK_SHAPE(context, inp_neighbors_row_splits, num_inp + 1);
61 CHECK_SHAPE(context, neighbors_index, num_neighbors);
62 CHECK_SHAPE(context, neighbors_kernel_index, num_neighbors);
63 CHECK_SHAPE(context, neighbors_importance, 0 || num_neighbors);
64 CHECK_SHAPE(context, out_features_gradient, num_out, out_channels);
65
66 TensorShape filter_backprop_shape(filters.shape());
67 Tensor* filter_backprop = nullptr;
68 OP_REQUIRES_OK(context,
69 context->allocate_output(0, filter_backprop_shape,
70 &filter_backprop));
71
72 std::vector<int> filter_dims;
73 for (int i = 0; i < filters.dims(); ++i) {
74 filter_dims.push_back(filters.dim_size(i));
75 }
76
77 bool point_importances = out_importance.shape().dim_size(0) != 0;
78
79 bool has_neighbors_importances =
80 neighbors_importance.shape().dim_size(0) != 0;
81
82 Kernel(context, filters, out_importance, inp_features,
83 inp_neighbors_importance_sum, inp_neighbors_row_splits,
84 neighbors_index, neighbors_kernel_index, neighbors_importance,
85 neighbors_row_splits, out_features_gradient, filter_dims,
86 point_importances, has_neighbors_importances, *filter_backprop);
87 }
88
89 virtual void Kernel(tensorflow::OpKernelContext* context,
90 const tensorflow::Tensor& filter,
91 const tensorflow::Tensor& out_importance,
92 const tensorflow::Tensor& inp_features,
93 const tensorflow::Tensor& inp_neighbors_importance_sum,
94 const tensorflow::Tensor& inp_neighbors_row_splits,
95 const tensorflow::Tensor& neighbors_index,
96 const tensorflow::Tensor& neighbors_kernel_index,
97 const tensorflow::Tensor& neighbors_importance,
98 const tensorflow::Tensor& neighbors_row_splits,
99 const tensorflow::Tensor& out_features_gradient,
100 const std::vector<int>& filter_dims,
101 const bool point_importances,
102 const bool has_neighbors_importances,
103 tensorflow::Tensor& filter_backprop) = 0;
104
105public:
108};
#define CHECK_SHAPE_COMBINE_FIRST_DIMS(tensor,...)
Definition TorchHelper.h:195
#define CHECK_SHAPE(tensor,...)
Definition TorchHelper.h:186
ImGuiContext * context
Definition Window.cpp:76
Definition SparseConvTransposeBackpropFilterOpKernel.h:17
SparseConvTransposeBackpropFilterOpKernel(tensorflow::OpKernelConstruction *construction)
Definition SparseConvTransposeBackpropFilterOpKernel.h:19
bool normalize
Definition SparseConvTransposeBackpropFilterOpKernel.h:106
virtual void Kernel(tensorflow::OpKernelContext *context, const tensorflow::Tensor &filter, const tensorflow::Tensor &out_importance, const tensorflow::Tensor &inp_features, const tensorflow::Tensor &inp_neighbors_importance_sum, const tensorflow::Tensor &inp_neighbors_row_splits, 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
void Compute(tensorflow::OpKernelContext *context) override
Definition SparseConvTransposeBackpropFilterOpKernel.h:30
int max_temp_mem_MB
Definition SparseConvTransposeBackpropFilterOpKernel.h:107
Class for dimensions for which the value should be inferred.
Definition ShapeChecking.h:50
Definition ShapeChecking.h:16