chromium/third_party/tflite/src/tensorflow/lite/kernels/sign_custom.cc

// Copyright 2021 Google LLC
//
// 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 <cmath>

#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/custom_ops_register.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/kernel_util.h"

namespace tflite {
namespace ops {
namespace custom {
namespace sign {

// Performs common preparation for pointwise, unary ops, i.e., type checks and
// output tensor resizing.
TfLiteStatus PointwiseUnaryOpPrepare(TfLiteContext* context, TfLiteNode* node) { … }

// Applies the operator Op pointwise to data of type T.
template <typename Op, typename T>
TfLiteStatus PointwiseUnaryOpDoEval(
    TfLiteContext* context,
    const TfLiteTensor* input,
    TfLiteTensor* output) { … }

// A generic evaluation function where the actual data processing is handled
// by the Op::Eval<T> function.
template <typename Op>
TfLiteStatus PointwiseUnaryOpEval(TfLiteContext* context, TfLiteNode* node) { … }

// Operator that computes the sign function.
struct Sign { … };

}  // namespace sign

TfLiteRegistration* Register_SIGN() { … }

}  // namespace custom
}  // namespace ops
}  // namespace tflite