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

/* Copyright 2021 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 <algorithm>
#include <cmath>
#include <cstdint>
#include <limits>
#include <random>

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

namespace tflite {
namespace ops {
namespace custom {
namespace random_uniform {

struct OpData { … };

namespace {

template <typename T, typename dist_type>
void RandomUniformSample(std::default_random_engine& rng, T* buffer,
                         size_t buffer_size, T min_value, T max_value) { … }

TfLiteIntArray* CreateDimensionsFromTensor(const TfLiteTensor* tensor) { … }
}  // namespace
void* Init(TfLiteContext* context, const char* buffer, size_t length) { … }

void Free(TfLiteContext* context, void* buffer) { … }

TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { … }

TfLiteStatus EvalFloat(TfLiteContext* context, TfLiteNode* node) { … }

int64_t IntValueFromTensor(const TfLiteTensor* tensor) { … }

TfLiteStatus EvalInt(TfLiteContext* context, TfLiteNode* node) { … }

}  // namespace random_uniform

TfLiteRegistration* Register_RANDOM_UNIFORM() { … }

TfLiteRegistration* Register_RANDOM_UNIFORM_INT() { … }
}  // namespace custom
}  // namespace ops
}  // namespace tflite