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/*
* Copyright (c) 2022 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 <gtest/gtest.h>
#include "ErrorApproximator.h"
#include "TestHelper.h"
#include <luci/IR/CircleNodeDecl.h>
#include <cmath>
namespace
{
inline uint32_t cal_offset(uint32_t shape[4], uint32_t *indices)
{
return indices[0] * shape[1] * shape[2] * shape[3] + indices[1] * shape[2] * shape[3] +
indices[2] * shape[3] + indices[3];
}
class NConvGraph final : public SimpleGraph
{
protected:
void initInput(loco::Node *input) override
{
auto ci_input = loco::must_cast<luci::CircleNode *>(input);
ci_input->shape_status(luci::ShapeStatus::VALID);
auto qparam = std::make_unique<luci::CircleQuantParam>();
qparam->min.assign(_channel_size, _a_min);
qparam->max.assign(_channel_size, _a_max);
ci_input->quantparam(std::move(qparam));
}
loco::Node *insertGraphBody(loco::Node *input) override
{
_filter = _g->nodes()->create<luci::CircleConst>();
_filter->dtype(loco::DataType::FLOAT32);
_filter->shape({_channel_size, _f_w, _f_h, _channel_size});
_filter->shape_status(luci::ShapeStatus::VALID);
_filter->name("conv_filter");
uint32_t indices[4] = {
0,
};
uint32_t w_shape[4] = {_filter->dim(0).value(), _filter->dim(1).value(),
_filter->dim(2).value(), _filter->dim(3).value()};
_filter->size<loco::DataType::FLOAT32>(w_shape[0] * w_shape[1] * w_shape[2] * w_shape[3]);
for (indices[0] = 0; indices[0] < w_shape[0]; ++indices[0])
{
for (indices[1] = 0; indices[1] < w_shape[1]; ++indices[1])
{
for (indices[2] = 0; indices[2] < w_shape[2]; ++indices[2])
{
for (indices[3] = 0; indices[3] < w_shape[3]; ++indices[3])
{
uint32_t offset = cal_offset(w_shape, indices);
_filter->at<loco::DataType::FLOAT32>(offset) = (offset % 2 == 0) ? _w_max : _w_min;
}
}
}
}
_bias = _g->nodes()->create<luci::CircleConst>();
_bias->dtype(loco::DataType::FLOAT32);
_bias->shape({_channel_size});
_bias->name("conv_bias");
_conv = _g->nodes()->create<luci::CircleConv2D>();
_conv->padding(luci::Padding::SAME);
_conv->fusedActivationFunction(luci::FusedActFunc::NONE);
_conv->dtype(loco::DataType::FLOAT32);
_conv->shape({1, _width, _height, _channel_size});
_conv->shape_status(luci::ShapeStatus::VALID);
_conv->name("conv");
_conv->filter(_filter);
_conv->bias(_bias);
_conv->input(input);
return _conv;
}
public:
luci::CircleConv2D *_conv = nullptr;
luci::CircleConst *_filter = nullptr;
luci::CircleConst *_bias = nullptr;
uint32_t _f_w = 1;
uint32_t _f_h = 1;
float _w_min = -1.f;
float _w_max = 1.f;
float _a_min = -1.f;
float _a_max = 1.f;
};
} // namespace
TEST(CircleMPQSolverErrorApproximatorTest, verifyResultsTest)
{
NConvGraph g;
g.init();
auto value = mpqsolver::bisection::approximate(g._conv);
float expected = ((g._w_max - g._w_min) * g._channel_size * std::max(g._a_max, g._a_min) +
(g._a_max - g._a_min) * g._channel_size * std::max(g._w_max, g._w_min)) *
g._f_h * g._f_w * g._height * g._width * g._channel_size / 1.e+6f;
EXPECT_FLOAT_EQ(expected, value);
}
TEST(CircleMPQSolverErrorApproximatorTest, verifyResultsTest_NEG)
{
NConvGraph g;
g.init();
auto value = mpqsolver::bisection::approximate(g._input);
float expected = 0.f;
EXPECT_FLOAT_EQ(expected, value);
value = mpqsolver::bisection::approximate(g._output);
expected = 0.f;
EXPECT_FLOAT_EQ(expected, value);
}
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