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 | |
16 | #include <stdint.h> |
17 | #include <string.h> |
18 | |
19 | #include "tensorflow/lite/c/common.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 | |
24 | namespace tflite { |
25 | namespace ops { |
26 | namespace builtin { |
27 | namespace zeros_like { |
28 | |
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 | output->type = input->type; |
41 | |
42 | return context->ResizeTensor(context, output, |
43 | TfLiteIntArrayCopy(input->dims)); |
44 | } |
45 | |
46 | TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { |
47 | const TfLiteTensor* input; |
48 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input)); |
49 | TfLiteTensor* output; |
50 | TF_LITE_ENSURE_OK(context, |
51 | GetOutputSafe(context, node, kOutputTensor, &output)); |
52 | const int num_elements = NumElements(input); |
53 | switch (input->type) { |
54 | case kTfLiteInt64: |
55 | memset(GetTensorData<int64_t>(output), 0, num_elements * sizeof(int64_t)); |
56 | break; |
57 | case kTfLiteInt32: |
58 | memset(GetTensorData<int32_t>(output), 0, num_elements * sizeof(int32_t)); |
59 | break; |
60 | case kTfLiteFloat32: |
61 | memset(GetTensorData<float>(output), 0, num_elements * sizeof(float)); |
62 | break; |
63 | default: |
64 | TF_LITE_KERNEL_LOG(context, |
65 | "ZerosLike only currently supports int64, int32, " |
66 | "and float32, got %d." , |
67 | input->type); |
68 | return kTfLiteError; |
69 | } |
70 | return kTfLiteOk; |
71 | } |
72 | |
73 | } // namespace zeros_like |
74 | |
75 | TfLiteRegistration* Register_ZEROS_LIKE() { |
76 | static TfLiteRegistration r = {/*init=*/nullptr, /*free=*/nullptr, |
77 | zeros_like::Prepare, zeros_like::Eval}; |
78 | return &r; |
79 | } |
80 | |
81 | } // namespace builtin |
82 | } // namespace ops |
83 | } // namespace tflite |
84 | |