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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. 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 "misc/tensor/IndexIterator.h"
#include <array>
#include <iostream>
#include <algorithm>
#include <cassert>
void test_iterate(void)
{
const nnfw::misc::tensor::Shape shape{3, 4, 7};
std::array<int, 3 * 4 * 7> array;
array.fill(0);
using nnfw::misc::tensor::iterate;
using nnfw::misc::tensor::Index;
iterate(shape) << [&](const Index &index) {
assert(index.rank() == shape.rank());
const uint32_t rank = index.rank();
uint32_t offset = index.at(0);
for (uint32_t axis = 1; axis < rank; ++axis)
{
offset *= shape.dim(axis);
offset += index.at(axis);
}
array[offset] += 1;
};
assert(std::all_of(array.begin(), array.end(), [](int num) { return num == 1; }));
}
int main(int argc, char **argv)
{
test_iterate();
nnfw::misc::tensor::Shape shape{3, 4, 3, 4};
std::cout << "Iterate over tensor{3, 4, 3, 4}" << std::endl;
nnfw::misc::tensor::iterate(shape) << [](const nnfw::misc::tensor::Index &index) {
std::cout << "rank: " << index.rank() << std::endl;
for (uint32_t d = 0; d < index.rank(); ++d)
{
std::cout << " offset(" << d << ") = " << index.at(d) << std::endl;
}
};
return 0;
}
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