/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/util.h"
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#include <cstring>
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namespace tflite {
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bool IsFlexOp(const char* custom_name) {
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return custom_name && strncmp(custom_name, kFlexCustomCodePrefix,
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strlen(kFlexCustomCodePrefix)) == 0;
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}
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TfLiteIntArray* ConvertVectorToTfLiteIntArray(const std::vector<int>& input) {
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return ConvertArrayToTfLiteIntArray(input.size(), input.data());
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}
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TfLiteIntArray* ConvertArrayToTfLiteIntArray(const int rank, const int* dims) {
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TfLiteIntArray* output = TfLiteIntArrayCreate(rank);
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for (size_t i = 0; i < rank; i++) {
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output->data[i] = dims[i];
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}
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return output;
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}
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bool EqualArrayAndTfLiteIntArray(const TfLiteIntArray* a, const int b_size,
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const int* b) {
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if (!a) return false;
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if (a->size != b_size) return false;
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for (int i = 0; i < a->size; ++i) {
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if (a->data[i] != b[i]) return false;
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}
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return true;
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}
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size_t CombineHashes(std::initializer_list<size_t> hashes) {
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size_t result = 0;
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// Hash combiner used by TensorFlow core.
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for (size_t hash : hashes) {
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result = result ^
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(hash + 0x9e3779b97f4a7800ULL + (result << 10) + (result >> 4));
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}
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return result;
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}
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} // namespace tflite
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