fff2c83262
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages. We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`). PiperOrigin-RevId: 332520146 Change-Id: I405d986cfc653aaafcfdf4162c0acbd46220b921
77 lines
2.7 KiB
C++
77 lines
2.7 KiB
C++
/* Copyright 2018 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/ceil.h"
|
|
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
|
|
#include "tensorflow/lite/kernels/kernel_util.h"
|
|
#include "tensorflow/lite/micro/kernels/kernel_util.h"
|
|
|
|
namespace tflite {
|
|
namespace ops {
|
|
namespace micro {
|
|
namespace ceil {
|
|
|
|
constexpr int kInputTensor = 0;
|
|
constexpr int kOutputTensor = 0;
|
|
|
|
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
|
|
const TfLiteTensor* input = GetInput(context, node, kInputTensor);
|
|
TF_LITE_ENSURE(context, input != nullptr);
|
|
TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
|
|
TF_LITE_ENSURE(context, output != nullptr);
|
|
TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
|
|
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
|
|
TF_LITE_ENSURE_TYPES_EQ(context, input->type, kTfLiteFloat32);
|
|
TF_LITE_ENSURE_TYPES_EQ(context, output->type, input->type);
|
|
TF_LITE_ENSURE_EQ(context, output->bytes, input->bytes);
|
|
TF_LITE_ENSURE_EQ(context, output->dims->size, input->dims->size);
|
|
for (int i = 0; i < output->dims->size; ++i) {
|
|
TF_LITE_ENSURE_EQ(context, output->dims->data[i], input->dims->data[i]);
|
|
}
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
|
|
const TfLiteEvalTensor* input =
|
|
tflite::micro::GetEvalInput(context, node, kInputTensor);
|
|
TfLiteEvalTensor* output =
|
|
tflite::micro::GetEvalOutput(context, node, kOutputTensor);
|
|
|
|
reference_ops::Ceil(tflite::micro::GetTensorShape(input),
|
|
tflite::micro::GetTensorData<float>(input),
|
|
tflite::micro::GetTensorShape(output),
|
|
tflite::micro::GetTensorData<float>(output));
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
} // namespace ceil
|
|
|
|
TfLiteRegistration Register_CEIL() {
|
|
return {/*init=*/nullptr,
|
|
/*free=*/nullptr,
|
|
/*prepare=*/ceil::Prepare,
|
|
/*invoke=*/ceil::Eval,
|
|
/*profiling_string=*/nullptr,
|
|
/*builtin_code=*/0,
|
|
/*custom_name=*/nullptr,
|
|
/*version=*/0};
|
|
}
|
|
|
|
} // namespace micro
|
|
} // namespace ops
|
|
} // namespace tflite
|