1 | /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | #include <stdint.h> |
16 | |
17 | #include "tensorflow/lite/c/builtin_op_data.h" |
18 | #include "tensorflow/lite/c/common.h" |
19 | #include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h" |
20 | #include "tensorflow/lite/kernels/internal/reference/reference_ops.h" |
21 | #include "tensorflow/lite/kernels/internal/tensor.h" |
22 | #include "tensorflow/lite/kernels/internal/tensor_ctypes.h" |
23 | #include "tensorflow/lite/kernels/internal/types.h" |
24 | #include "tensorflow/lite/kernels/kernel_util.h" |
25 | |
26 | namespace tflite { |
27 | namespace ops { |
28 | namespace builtin { |
29 | namespace space_to_depth { |
30 | |
31 | // This file has two implementation of SpaceToDepth. Note that SpaceToDepth |
32 | // only works on 4D tensors. |
33 | enum KernelType { |
34 | kReference, |
35 | kGenericOptimized, |
36 | }; |
37 | |
38 | constexpr int kInputTensor = 0; |
39 | constexpr int kOutputTensor = 0; |
40 | |
41 | TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { |
42 | auto* params = |
43 | reinterpret_cast<TfLiteSpaceToDepthParams*>(node->builtin_data); |
44 | |
45 | TF_LITE_ENSURE_EQ(context, NumInputs(node), 1); |
46 | TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1); |
47 | |
48 | const TfLiteTensor* input; |
49 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input)); |
50 | TfLiteTensor* output; |
51 | TF_LITE_ENSURE_OK(context, |
52 | GetOutputSafe(context, node, kOutputTensor, &output)); |
53 | |
54 | TF_LITE_ENSURE_EQ(context, NumDimensions(input), 4); |
55 | |
56 | auto data_type = output->type; |
57 | TF_LITE_ENSURE(context, |
58 | data_type == kTfLiteFloat32 || data_type == kTfLiteUInt8 || |
59 | data_type == kTfLiteInt8 || data_type == kTfLiteInt32 || |
60 | data_type == kTfLiteInt64); |
61 | TF_LITE_ENSURE_TYPES_EQ(context, input->type, output->type); |
62 | |
63 | const int block_size = params->block_size; |
64 | TF_LITE_ENSURE(context, block_size > 0); |
65 | const int input_height = input->dims->data[1]; |
66 | const int input_width = input->dims->data[2]; |
67 | int output_height = input_height / block_size; |
68 | int output_width = input_width / block_size; |
69 | |
70 | TF_LITE_ENSURE_EQ(context, input_height, output_height * block_size); |
71 | TF_LITE_ENSURE_EQ(context, input_width, output_width * block_size); |
72 | |
73 | TfLiteIntArray* output_size = TfLiteIntArrayCreate(4); |
74 | output_size->data[0] = input->dims->data[0]; |
75 | output_size->data[1] = output_height; |
76 | output_size->data[2] = output_width; |
77 | output_size->data[3] = input->dims->data[3] * block_size * block_size; |
78 | |
79 | return context->ResizeTensor(context, output, output_size); |
80 | } |
81 | |
82 | template <KernelType kernel_type> |
83 | TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { |
84 | auto* params = |
85 | reinterpret_cast<TfLiteSpaceToDepthParams*>(node->builtin_data); |
86 | |
87 | const TfLiteTensor* input; |
88 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input)); |
89 | TfLiteTensor* output; |
90 | TF_LITE_ENSURE_OK(context, |
91 | GetOutputSafe(context, node, kOutputTensor, &output)); |
92 | |
93 | #define TF_LITE_SPACE_TO_DEPTH(type, scalar) \ |
94 | tflite::SpaceToDepthParams op_params; \ |
95 | op_params.block_size = params->block_size; \ |
96 | type::SpaceToDepth(op_params, GetTensorShape(input), \ |
97 | GetTensorData<scalar>(input), GetTensorShape(output), \ |
98 | GetTensorData<scalar>(output)) |
99 | switch (input->type) { // Already know in/out types are same. |
100 | case kTfLiteFloat32: |
101 | if (kernel_type == kReference) { |
102 | TF_LITE_SPACE_TO_DEPTH(reference_ops, float); |
103 | } else { |
104 | TF_LITE_SPACE_TO_DEPTH(optimized_ops, float); |
105 | } |
106 | break; |
107 | case kTfLiteUInt8: |
108 | if (kernel_type == kReference) { |
109 | TF_LITE_SPACE_TO_DEPTH(reference_ops, uint8_t); |
110 | } else { |
111 | TF_LITE_SPACE_TO_DEPTH(optimized_ops, uint8_t); |
112 | } |
113 | break; |
114 | case kTfLiteInt8: |
115 | if (kernel_type == kReference) { |
116 | TF_LITE_SPACE_TO_DEPTH(reference_ops, int8_t); |
117 | } else { |
118 | TF_LITE_SPACE_TO_DEPTH(optimized_ops, int8_t); |
119 | } |
120 | break; |
121 | case kTfLiteInt32: |
122 | if (kernel_type == kReference) { |
123 | TF_LITE_SPACE_TO_DEPTH(reference_ops, int32_t); |
124 | } else { |
125 | TF_LITE_SPACE_TO_DEPTH(optimized_ops, int32_t); |
126 | } |
127 | break; |
128 | case kTfLiteInt64: |
129 | if (kernel_type == kReference) { |
130 | TF_LITE_SPACE_TO_DEPTH(reference_ops, int64_t); |
131 | } else { |
132 | TF_LITE_SPACE_TO_DEPTH(optimized_ops, int64_t); |
133 | } |
134 | break; |
135 | default: |
136 | TF_LITE_KERNEL_LOG(context, "Type '%s' not currently supported." , |
137 | TfLiteTypeGetName(input->type)); |
138 | return kTfLiteError; |
139 | } |
140 | #undef TF_LITE_SPACE_TO_DEPTH |
141 | |
142 | return kTfLiteOk; |
143 | } |
144 | |
145 | } // namespace space_to_depth |
146 | |
147 | TfLiteRegistration* Register_SPACE_TO_DEPTH_REF() { |
148 | static TfLiteRegistration r = { |
149 | nullptr, nullptr, space_to_depth::Prepare, |
150 | space_to_depth::Eval<space_to_depth::kReference>}; |
151 | return &r; |
152 | } |
153 | |
154 | TfLiteRegistration* Register_SPACE_TO_DEPTH_GENERIC_OPT() { |
155 | static TfLiteRegistration r = { |
156 | nullptr, nullptr, space_to_depth::Prepare, |
157 | space_to_depth::Eval<space_to_depth::kGenericOptimized>}; |
158 | return &r; |
159 | } |
160 | |
161 | TfLiteRegistration* Register_SPACE_TO_DEPTH() { |
162 | return Register_SPACE_TO_DEPTH_GENERIC_OPT(); |
163 | } |
164 | |
165 | } // namespace builtin |
166 | } // namespace ops |
167 | } // namespace tflite |
168 | |