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 <algorithm> |
16 | #include <complex> |
17 | |
18 | #include "tensorflow/lite/c/common.h" |
19 | #include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h" |
20 | #include "tensorflow/lite/kernels/internal/tensor.h" |
21 | #include "tensorflow/lite/kernels/internal/tensor_ctypes.h" |
22 | #include "tensorflow/lite/kernels/kernel_util.h" |
23 | #include "tensorflow/lite/kernels/op_macros.h" |
24 | |
25 | namespace tflite { |
26 | namespace ops { |
27 | namespace builtin { |
28 | namespace cast { |
29 | constexpr int kInputTensor = 0; |
30 | constexpr int kOutputTensor = 0; |
31 | |
32 | TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { |
33 | TF_LITE_ENSURE_EQ(context, NumInputs(node), 1); |
34 | TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1); |
35 | const TfLiteTensor* input; |
36 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input)); |
37 | TfLiteTensor* output; |
38 | TF_LITE_ENSURE_OK(context, |
39 | GetOutputSafe(context, node, kOutputTensor, &output)); |
40 | |
41 | // TODO(ahentz): these two checks would make the new implementation |
42 | // incompatible with some existing models, where params is not specified. It |
43 | // is OK not to have them because toco would have set input and output types |
44 | // to match the parameters. |
45 | // auto* params = reinterpret_cast<TfLiteCastParams*>(node->builtin_data); |
46 | // TF_LITE_ENSURE_EQ(context, input->type, params->in_data_type); |
47 | // TF_LITE_ENSURE_EQ(context, output->type, params->out_data_type); |
48 | |
49 | return context->ResizeTensor(context, output, |
50 | TfLiteIntArrayCopy(input->dims)); |
51 | } |
52 | |
53 | template <typename FromT, typename ToT> |
54 | void copyCast(const FromT* in, ToT* out, int num_elements) { |
55 | std::transform(in, in + num_elements, out, |
56 | [](FromT a) { return static_cast<ToT>(a); }); |
57 | } |
58 | |
59 | template <typename ToT> |
60 | void copyCast(const std::complex<float>* in, ToT* out, int num_elements) { |
61 | std::transform(in, in + num_elements, out, [](std::complex<float> a) { |
62 | return static_cast<ToT>(std::real(a)); |
63 | }); |
64 | } |
65 | |
66 | template <> |
67 | void copyCast(const std::complex<float>* in, std::complex<float>* out, |
68 | int num_elements) { |
69 | std::transform(in, in + num_elements, out, |
70 | [](std::complex<float> a) { return a; }); |
71 | } |
72 | |
73 | template <typename FromT> |
74 | TfLiteStatus copyToTensor(TfLiteContext* context, const FromT* in, |
75 | TfLiteTensor* out, int num_elements) { |
76 | switch (out->type) { |
77 | case kTfLiteInt64: |
78 | copyCast(in, out->data.i64, num_elements); |
79 | break; |
80 | case kTfLiteInt32: |
81 | copyCast(in, out->data.i32, num_elements); |
82 | break; |
83 | case kTfLiteUInt32: |
84 | copyCast(in, out->data.u32, num_elements); |
85 | break; |
86 | case kTfLiteInt16: |
87 | copyCast(in, out->data.i16, num_elements); |
88 | break; |
89 | case kTfLiteUInt16: |
90 | copyCast(in, out->data.ui16, num_elements); |
91 | break; |
92 | case kTfLiteUInt8: |
93 | copyCast(in, out->data.uint8, num_elements); |
94 | break; |
95 | case kTfLiteInt8: |
96 | copyCast(in, out->data.int8, num_elements); |
97 | break; |
98 | case kTfLiteFloat32: |
99 | copyCast(in, GetTensorData<float>(out), num_elements); |
100 | break; |
101 | case kTfLiteBool: |
102 | copyCast(in, out->data.b, num_elements); |
103 | break; |
104 | case kTfLiteComplex64: |
105 | copyCast(in, reinterpret_cast<std::complex<float>*>(out->data.c64), |
106 | num_elements); |
107 | break; |
108 | default: |
109 | // Unsupported type. |
110 | TF_LITE_UNSUPPORTED_TYPE(context, out->type, "Cast" ); |
111 | } |
112 | return kTfLiteOk; |
113 | } |
114 | |
115 | TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { |
116 | const TfLiteTensor* input; |
117 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input)); |
118 | TfLiteTensor* output; |
119 | TF_LITE_ENSURE_OK(context, |
120 | GetOutputSafe(context, node, kOutputTensor, &output)); |
121 | const int num_elements = NumElements(input); |
122 | TF_LITE_ENSURE_EQ(context, num_elements, NumElements(output)); |
123 | switch (input->type) { |
124 | case kTfLiteInt64: |
125 | return copyToTensor(context, input->data.i64, output, num_elements); |
126 | case kTfLiteInt32: |
127 | return copyToTensor(context, input->data.i32, output, num_elements); |
128 | case kTfLiteUInt32: |
129 | return copyToTensor(context, input->data.u32, output, num_elements); |
130 | case kTfLiteUInt16: |
131 | return copyToTensor(context, input->data.ui16, output, num_elements); |
132 | case kTfLiteInt16: |
133 | return copyToTensor(context, input->data.i16, output, num_elements); |
134 | case kTfLiteUInt8: |
135 | return copyToTensor(context, input->data.uint8, output, num_elements); |
136 | case kTfLiteInt8: |
137 | return copyToTensor(context, input->data.int8, output, num_elements); |
138 | case kTfLiteFloat32: |
139 | return copyToTensor(context, GetTensorData<float>(input), output, |
140 | num_elements); |
141 | case kTfLiteBool: |
142 | return copyToTensor(context, input->data.b, output, num_elements); |
143 | case kTfLiteComplex64: |
144 | return copyToTensor( |
145 | context, reinterpret_cast<std::complex<float>*>(input->data.c64), |
146 | output, num_elements); |
147 | default: |
148 | // Unsupported type. |
149 | TF_LITE_UNSUPPORTED_TYPE(context, input->type, "Cast" ); |
150 | } |
151 | } |
152 | } // namespace cast |
153 | |
154 | TfLiteRegistration* Register_CAST() { |
155 | static TfLiteRegistration r = {nullptr, nullptr, cast::Prepare, cast::Eval}; |
156 | return &r; |
157 | } |
158 | |
159 | } // namespace builtin |
160 | } // namespace ops |
161 | } // namespace tflite |
162 | |