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- /* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
- http://www.apache.org/licenses/LICENSE-2.0
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
- ==============================================================================*/
- #include "tensorflow/lite/kernels/internal/reference/floor.h"
- #include "tensorflow/lite/c/common.h"
- #include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
- #include "tensorflow/lite/micro/kernels/kernel_util.h"
- namespace tflite {
- namespace ops {
- namespace micro {
- namespace floor {
- constexpr int kInputTensor = 0;
- constexpr int kOutputTensor = 0;
- TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
- const TfLiteEvalTensor* input =
- tflite::micro::GetEvalInput(context, node, kInputTensor);
- TF_LITE_ENSURE_TYPES_EQ(context, input->type, kTfLiteFloat32);
- TfLiteEvalTensor* output =
- tflite::micro::GetEvalOutput(context, node, kOutputTensor);
- reference_ops::Floor(tflite::micro::GetTensorShape(input),
- tflite::micro::GetTensorData<float>(input),
- tflite::micro::GetTensorShape(output),
- tflite::micro::GetTensorData<float>(output));
- return kTfLiteOk;
- }
- } // namespace floor
- TfLiteRegistration Register_FLOOR() {
- return {/*init=*/nullptr,
- /*free=*/nullptr,
- /*prepare=*/nullptr,
- /*invoke=*/floor::Eval,
- /*profiling_string=*/nullptr,
- /*builtin_code=*/0,
- /*custom_name=*/nullptr,
- /*version=*/0};
- }
- } // namespace micro
- } // namespace ops
- } // namespace tflite
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