1/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#include <vector>
17#include "tensorflow/cc/framework/grad_op_registry.h"
18#include "tensorflow/cc/framework/gradients.h"
19#include "tensorflow/cc/ops/image_ops_internal.h"
20#include "tensorflow/cc/ops/standard_ops.h"
21
22namespace tensorflow {
23namespace ops {
24namespace {
25
26REGISTER_NO_GRADIENT_OP("NonMaxSuppression");
27REGISTER_NO_GRADIENT_OP("NonMaxSuppressionV2");
28REGISTER_NO_GRADIENT_OP("NonMaxSuppressionV3");
29REGISTER_NO_GRADIENT_OP("NonMaxSuppressionV4");
30REGISTER_NO_GRADIENT_OP("NonMaxSuppressionV5");
31
32Status ResizeNearestNeighborGradHelper(const Scope& scope, const Operation& op,
33 const std::vector<Output>& grad_inputs,
34 std::vector<Output>* grad_outputs) {
35 bool align_corners;
36 TF_RETURN_IF_ERROR(
37 GetNodeAttr(op.node()->attrs(), "align_corners", &align_corners));
38 bool half_pixel_centers;
39 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "half_pixel_centers",
40 &half_pixel_centers));
41 // The internal gradient implementation needs the shape of the input image.
42 // x_shape = shape(x)[1:3]
43 // = slice(shape(x), {1}, {3 - 1})
44 auto x_shape = Slice(scope, Shape(scope, op.input(0)), {1}, {2});
45 grad_outputs->push_back(internal::ResizeNearestNeighborGrad(
46 scope, grad_inputs[0], x_shape,
47 internal::ResizeNearestNeighborGrad::AlignCorners(align_corners)
48 .HalfPixelCenters(half_pixel_centers)));
49 grad_outputs->push_back(NoGradient());
50 return scope.status();
51}
52REGISTER_GRADIENT_OP("ResizeNearestNeighbor", ResizeNearestNeighborGradHelper);
53
54Status ResizeBilinearGradHelper(const Scope& scope, const Operation& op,
55 const std::vector<Output>& grad_inputs,
56 std::vector<Output>* grad_outputs) {
57 bool align_corners;
58 TF_RETURN_IF_ERROR(
59 GetNodeAttr(op.node()->attrs(), "align_corners", &align_corners));
60 bool half_pixel_centers;
61 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "half_pixel_centers",
62 &half_pixel_centers));
63 grad_outputs->push_back(internal::ResizeBilinearGrad(
64 scope, grad_inputs[0], op.input(0),
65 internal::ResizeBilinearGrad::AlignCorners(align_corners)
66 .HalfPixelCenters(half_pixel_centers)));
67 grad_outputs->push_back(NoGradient());
68 return scope.status();
69}
70REGISTER_GRADIENT_OP("ResizeBilinear", ResizeBilinearGradHelper);
71
72Status ResizeBicubicGradHelper(const Scope& scope, const Operation& op,
73 const std::vector<Output>& grad_inputs,
74 std::vector<Output>* grad_outputs) {
75 bool align_corners;
76 TF_RETURN_IF_ERROR(
77 GetNodeAttr(op.node()->attrs(), "align_corners", &align_corners));
78 bool half_pixel_centers;
79 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "half_pixel_centers",
80 &half_pixel_centers));
81
82 grad_outputs->push_back(internal::ResizeBicubicGrad(
83 scope, grad_inputs[0], op.input(0),
84 internal::ResizeBicubicGrad::AlignCorners(align_corners)
85 .HalfPixelCenters(half_pixel_centers)));
86 grad_outputs->push_back(NoGradient());
87 return scope.status();
88}
89REGISTER_GRADIENT_OP("ResizeBicubic", ResizeBicubicGradHelper);
90
91Status ScaleAndTranslateGradHelper(const Scope& scope, const Operation& op,
92 const std::vector<Output>& grad_inputs,
93 std::vector<Output>* grad_outputs) {
94 string kernel_type;
95 TF_RETURN_IF_ERROR(
96 GetNodeAttr(op.node()->attrs(), "kernel_type", &kernel_type));
97 bool antialias;
98 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "antialias", &antialias));
99 grad_outputs->push_back(internal::ScaleAndTranslateGrad(
100 scope, grad_inputs[0], op.input(0), op.input(2), op.input(3),
101 internal::ScaleAndTranslateGrad::KernelType(kernel_type)
102 .Antialias(antialias)));
103
104 grad_outputs->push_back(NoGradient());
105 grad_outputs->push_back(NoGradient());
106 grad_outputs->push_back(NoGradient());
107 return scope.status();
108}
109
110REGISTER_GRADIENT_OP("ScaleAndTranslate", ScaleAndTranslateGradHelper);
111
112Status CropAndResizeGradHelper(const Scope& scope, const Operation& op,
113 const std::vector<Output>& grad_inputs,
114 std::vector<Output>* grad_outputs) {
115 DataType input_type;
116 string method;
117 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "method", &method));
118 TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "T", &input_type));
119 auto image_shape = Shape(scope, op.input(0));
120 grad_outputs->push_back(CropAndResizeGradImage(
121 scope, grad_inputs[0], op.input(1), op.input(2), image_shape, input_type,
122 CropAndResizeGradImage::Method(method)));
123 grad_outputs->push_back(CropAndResizeGradBoxes(
124 scope, grad_inputs[0], op.input(0), op.input(1), op.input(2)));
125 grad_outputs->push_back(NoGradient());
126 grad_outputs->push_back(NoGradient());
127 return scope.status();
128}
129
130REGISTER_GRADIENT_OP("CropAndResize", CropAndResizeGradHelper);
131} // anonymous namespace
132} // namespace ops
133} // namespace tensorflow
134