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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 <nnkit/Action.h>
#include <nncc/core/ADT/tensor/IndexEnumerator.h>
#include <iostream>
using nncc::core::ADT::tensor::Index;
using nncc::core::ADT::tensor::IndexEnumerator;
std::ostream &operator<<(std::ostream &os, const Index &index)
{
if (index.rank() > 0)
{
os << index.at(0);
for (uint32_t axis = 1; axis < index.rank(); ++axis)
{
os << "," << index.at(axis);
}
}
return os;
}
struct ShowAction final : public nnkit::Action
{
void run(nnkit::TensorContext &ctx) override;
};
void ShowAction::run(nnkit::TensorContext &ctx)
{
std::cout << "count: " << ctx.size() << std::endl;
for (uint32_t n = 0; n < ctx.size(); ++n)
{
std::cout << " tensor(" << n << ") : " << ctx.name(n) << std::endl;
using nncc::core::ADT::tensor::Reader;
using nnkit::TensorContext;
ctx.getConstFloatTensor(n, [](const TensorContext &ctx, uint32_t n, const Reader<float> &t) {
for (IndexEnumerator e{ctx.shape(n)}; e.valid(); e.advance())
{
const auto &index = e.current();
std::cout << " " << index << ": " << t.at(index) << std::endl;
}
});
}
}
#include <nnkit/CmdlineArguments.h>
#include <stdex/Memory.h>
extern "C" std::unique_ptr<nnkit::Action> make_action(const nnkit::CmdlineArguments &args)
{
return stdex::make_unique<ShowAction>();
}
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