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 "tensorflow/lite/kernels/internal/reference/neg.h"
17
18#include <stdint.h>
19
20#include "tensorflow/lite/c/common.h"
21#include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h"
22#include "tensorflow/lite/kernels/internal/tensor.h"
23#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
24#include "tensorflow/lite/kernels/kernel_util.h"
25
26namespace tflite {
27namespace ops {
28namespace builtin {
29namespace neg {
30
31constexpr int kInputTensor = 0;
32constexpr int kOutputTensor = 0;
33
34TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
35 TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
36 TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
37 const TfLiteTensor* input;
38 TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
39 TfLiteTensor* output;
40 TF_LITE_ENSURE_OK(context,
41 GetOutputSafe(context, node, kOutputTensor, &output));
42
43 output->type = input->type;
44 return context->ResizeTensor(context, output,
45 TfLiteIntArrayCopy(input->dims));
46}
47
48TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
49 const TfLiteTensor* input;
50 TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
51 TfLiteTensor* output;
52 TF_LITE_ENSURE_OK(context,
53 GetOutputSafe(context, node, kOutputTensor, &output));
54 switch (input->type) {
55 case kTfLiteInt64:
56 reference_ops::Negate(
57 GetTensorShape(input), GetTensorData<int64_t>(input),
58 GetTensorShape(output), GetTensorData<int64_t>(output));
59 break;
60 case kTfLiteInt32:
61 reference_ops::Negate(
62 GetTensorShape(input), GetTensorData<int32_t>(input),
63 GetTensorShape(output), GetTensorData<int32_t>(output));
64 break;
65 case kTfLiteFloat32:
66 reference_ops::Negate(GetTensorShape(input), GetTensorData<float>(input),
67 GetTensorShape(output),
68 GetTensorData<float>(output));
69 break;
70 default:
71 TF_LITE_KERNEL_LOG(
72 context,
73 "Neg only currently supports int64, int32, and float32, got %d.",
74 input->type);
75 return kTfLiteError;
76 }
77 return kTfLiteOk;
78}
79
80} // namespace neg
81
82TfLiteRegistration* Register_NEG() {
83 static TfLiteRegistration r = {/*init=*/nullptr, /*free=*/nullptr,
84 neg::Prepare, neg::Eval};
85 return &r;
86}
87
88} // namespace builtin
89} // namespace ops
90} // namespace tflite
91