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/*
* Copyright (c) 2019 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 "ConstantFolding.h"
#include "Session.h"
#include <cmath>
#include <gtest/gtest.h>
namespace
{
class BinaryNetwork
{
public:
BinaryNetwork(coco::Module *module, coco::Data *data) : _module{module}, _data{data}
{
// DO NOTHING
}
template <typename Op> void build(void);
void fold(void)
{
// Execute constant folding
enco::make_session(_module, _data);
enco::Code code{_module, _data};
enco::fold_constants(&code);
}
public:
coco::Bag *out;
coco::Bag *lhs;
coco::Bag *rhs;
coco::Eval *eval;
private:
coco::Module *_module;
coco::Data *_data;
};
template <typename Op> void BinaryNetwork::build(void)
{
// Create lhs bag and object
auto lhs_bag = _module->entity()->bag()->create(12);
auto lhs_obj = _module->entity()->object()->template create<coco::FeatureObject>();
coco::FeatureShape lhs_shape(1, 2, 2, 3);
lhs_obj->bag(lhs_bag);
lhs_obj->layout(coco::FeatureLayouts::BHWC::create(lhs_shape));
// Create rhs bag and object
auto rhs_bag = _module->entity()->bag()->create(12);
auto rhs_obj = _module->entity()->object()->template create<coco::FeatureObject>();
coco::FeatureShape rhs_shape(1, 2, 2, 3);
rhs_obj->bag(rhs_bag);
rhs_obj->layout(coco::FeatureLayouts::BHWC::create(rhs_shape));
// Create output bag and object
auto output_bag = _module->entity()->bag()->create(12);
auto output_obj = _module->entity()->object()->template create<coco::FeatureObject>();
coco::FeatureShape ofm_shape(1, 2, 2, 3);
output_obj->bag(output_bag);
output_obj->layout(coco::FeatureLayouts::BHWC::create(ofm_shape));
// Create instruction and operations
auto block = _module->entity()->block()->create();
auto eval = _module->entity()->instr()->template create<coco::Eval>();
auto load_lhs = _module->entity()->op()->template create<coco::Load>();
auto load_rhs = _module->entity()->op()->template create<coco::Load>();
auto add_op = _module->entity()->op()->template create<Op>();
_module->block()->append(block);
block->instr()->append(eval);
load_lhs->object(lhs_obj);
load_rhs->object(rhs_obj);
add_op->left(load_lhs);
add_op->right(load_rhs);
eval->op(add_op);
eval->out(output_obj);
// Create a handle
this->lhs = lhs_bag;
this->rhs = rhs_bag;
this->out = output_bag;
this->eval = eval;
}
} // namespace
TEST(ConstantFoldingTest, sqrt)
{
auto module = coco::Module::create();
auto data = coco::Data::create();
// Create input bag and object
auto input_bag = module->entity()->bag()->create(12);
auto input_obj = module->entity()->object()->create<coco::FeatureObject>();
coco::FeatureShape ifm_shape(1, 2, 2, 3);
input_obj->bag(input_bag);
input_obj->layout(coco::FeatureLayouts::BHWC::create(ifm_shape));
// Create output bag and object
auto output_bag = module->entity()->bag()->create(12);
auto output_obj = module->entity()->object()->create<coco::FeatureObject>();
coco::FeatureShape ofm_shape(1, 2, 2, 3);
output_obj->bag(output_bag);
output_obj->layout(coco::FeatureLayouts::BHWC::create(ofm_shape));
// Insert values into input bag
data->f32()->allocate(input_bag);
auto input = data->f32()->weight(input_bag);
for (uint32_t idx = 0; idx < input.size(); ++idx)
{
input[idx] = (float)idx;
}
// Create instruction and operations
auto block = module->entity()->block()->create();
auto eval = module->entity()->instr()->create<coco::Eval>();
auto load = module->entity()->op()->create<coco::Load>();
auto sqrt_op = module->entity()->op()->create<coco::Sqrt>();
module->block()->append(block);
block->instr()->append(eval);
load->object(input_obj);
sqrt_op->arg(load);
eval->op(sqrt_op);
eval->out(output_obj);
// Execute constant folding
enco::make_session(module.get(), data.get());
enco::Code code{module.get(), data.get()};
enco::fold_constants(&code);
// Validate the result
ASSERT_EQ(data->allocated(output_bag), true);
ASSERT_EQ(eval->out(), nullptr);
auto output = data->f32()->weight(output_bag);
for (uint32_t idx = 0; idx < output.size(); ++idx)
{
ASSERT_FLOAT_EQ(output[idx], std::sqrt(input[idx]));
}
}
TEST(ConstantFoldingTest, element_wise_add)
{
auto module = coco::Module::create();
auto data = coco::Data::create();
BinaryNetwork net{module.get(), data.get()};
// Build a network
net.build<coco::Add>();
// Create alises
auto lhs_bag = net.lhs;
auto rhs_bag = net.rhs;
auto output_bag = net.out;
auto eval = net.eval;
// Insert values into lhs and rhs bag
data->f32()->allocate(lhs_bag);
data->f32()->allocate(rhs_bag);
auto lhs = data->f32()->weight(lhs_bag);
auto rhs = data->f32()->weight(rhs_bag);
for (uint32_t idx = 0; idx < lhs.size(); ++idx)
{
lhs[idx] = (float)idx;
rhs[idx] = 1.5;
}
// Execute constant folding
net.fold();
// Validate the result
ASSERT_EQ(data->allocated(output_bag), true);
ASSERT_EQ(eval->out(), nullptr);
auto output = data->f32()->weight(output_bag);
for (uint32_t idx = 0; idx < output.size(); ++idx)
{
ASSERT_FLOAT_EQ(output[idx], lhs[idx] + rhs[idx]);
}
}
TEST(ConstantFoldingTest, element_wise_sub)
{
auto module = coco::Module::create();
auto data = coco::Data::create();
BinaryNetwork net{module.get(), data.get()};
// Build a network
net.build<coco::Sub>();
// Create alises
auto lhs_bag = net.lhs;
auto rhs_bag = net.rhs;
auto output_bag = net.out;
auto eval = net.eval;
// Insert values into lhs and rhs bag
data->f32()->allocate(lhs_bag);
data->f32()->allocate(rhs_bag);
auto lhs = data->f32()->weight(lhs_bag);
auto rhs = data->f32()->weight(rhs_bag);
for (uint32_t idx = 0; idx < lhs.size(); ++idx)
{
lhs[idx] = (float)idx;
rhs[idx] = 1.5;
}
// Execute constant folding
net.fold();
// Validate the result
ASSERT_EQ(data->allocated(output_bag), true);
ASSERT_EQ(eval->out(), nullptr);
auto output = data->f32()->weight(output_bag);
for (uint32_t idx = 0; idx < output.size(); ++idx)
{
ASSERT_FLOAT_EQ(output[idx], lhs[idx] - rhs[idx]);
}
}
TEST(ConstantFoldingTest, element_wise_mul)
{
auto module = coco::Module::create();
auto data = coco::Data::create();
BinaryNetwork net{module.get(), data.get()};
// Build a network
net.build<coco::Mul>();
// Create alises
auto lhs_bag = net.lhs;
auto rhs_bag = net.rhs;
auto output_bag = net.out;
auto eval = net.eval;
// Insert values into lhs and rhs bag
data->f32()->allocate(lhs_bag);
data->f32()->allocate(rhs_bag);
auto lhs = data->f32()->weight(lhs_bag);
auto rhs = data->f32()->weight(rhs_bag);
for (uint32_t idx = 0; idx < lhs.size(); ++idx)
{
lhs[idx] = (float)idx;
rhs[idx] = 1.5;
}
// Execute constant folding
net.fold();
// Validate the result
ASSERT_EQ(data->allocated(output_bag), true);
ASSERT_EQ(eval->out(), nullptr);
auto output = data->f32()->weight(output_bag);
for (uint32_t idx = 0; idx < output.size(); ++idx)
{
ASSERT_FLOAT_EQ(output[idx], lhs[idx] * rhs[idx]);
}
}
TEST(ConstantFoldingTest, element_wise_div)
{
auto module = coco::Module::create();
auto data = coco::Data::create();
BinaryNetwork net{module.get(), data.get()};
// Build a network
net.build<coco::Div>();
// Create alises
auto lhs_bag = net.lhs;
auto rhs_bag = net.rhs;
auto output_bag = net.out;
auto eval = net.eval;
// Insert values into lhs and rhs bag
data->f32()->allocate(lhs_bag);
data->f32()->allocate(rhs_bag);
auto lhs = data->f32()->weight(lhs_bag);
auto rhs = data->f32()->weight(rhs_bag);
for (uint32_t idx = 0; idx < lhs.size(); ++idx)
{
lhs[idx] = (float)idx;
rhs[idx] = 1.5;
}
// Execute constant folding
net.fold();
// Validate the result
ASSERT_EQ(data->allocated(output_bag), true);
ASSERT_EQ(eval->out(), nullptr);
auto output = data->f32()->weight(output_bag);
for (uint32_t idx = 0; idx < output.size(); ++idx)
{
ASSERT_FLOAT_EQ(output[idx], lhs[idx] / rhs[idx]);
}
}
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