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/c/common.h"
17#include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h"
18#include "tensorflow/lite/kernels/internal/tensor.h"
19#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
20#include "tensorflow/lite/kernels/kernel_util.h"
21#include "tensorflow/lite/kernels/op_macros.h"
22
23namespace tflite {
24namespace ops {
25namespace builtin {
26namespace ceil {
27
28constexpr int kInputTensor = 0;
29constexpr int kOutputTensor = 0;
30
31TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
32 const TfLiteTensor* input;
33 TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
34 TfLiteTensor* output;
35 TF_LITE_ENSURE_OK(context,
36 GetOutputSafe(context, node, kOutputTensor, &output));
37 TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
38 TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
39 TF_LITE_ENSURE_TYPES_EQ(context, input->type, kTfLiteFloat32);
40 output->type = input->type;
41 TfLiteIntArray* output_size = TfLiteIntArrayCopy(input->dims);
42 return context->ResizeTensor(context, output, output_size);
43}
44
45TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
46 const TfLiteTensor* input;
47 TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
48 TfLiteTensor* output;
49 TF_LITE_ENSURE_OK(context,
50 GetOutputSafe(context, node, kOutputTensor, &output));
51 if (input->type != kTfLiteFloat32) {
52 TF_LITE_UNSUPPORTED_TYPE(context, input->type, "Ceil");
53 }
54
55 optimized_ops::Ceil(GetTensorShape(input), GetTensorData<float>(input),
56 GetTensorShape(output), GetTensorData<float>(output));
57
58 return kTfLiteOk;
59}
60} // namespace ceil
61
62TfLiteRegistration* Register_CEIL() {
63 static TfLiteRegistration r = {/*init=*/nullptr,
64 /*free=*/nullptr, ceil::Prepare, ceil::Eval};
65 return &r;
66}
67
68} // namespace builtin
69} // namespace ops
70} // namespace tflite
71