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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 "TFLTypeInference.h"
#include "Pass/TypeInferencePass.h"
#include <loco/IR/PermutingCodec.h>
#include <stdex/Memory.h>
#include <gtest/gtest.h>
using stdex::make_unique;
namespace
{
class Sequential
{
public:
loco::Pull *addPullLayer(const loco::DataType &dtype = loco::DataType::FLOAT32)
{
loco::Pull *pull = _graph.nodes()->create<loco::Pull>();
auto graph_input = _graph.inputs()->create();
graph_input->name("graph_input");
loco::link(graph_input, pull);
pull->dtype(dtype);
setSampleShape(pull);
return last(pull);
}
loco::ReLU *addReLULayer(void)
{
loco::ReLU *relu = _graph.nodes()->create<loco::ReLU>();
relu->input(_last);
return last(relu);
}
loco::Push *addPushLayer(void)
{
loco::Push *push = _graph.nodes()->create<loco::Push>();
auto graph_output = _graph.outputs()->create();
graph_output->name("graph_output");
loco::link(graph_output, push);
push->from(_last);
return last(push);
}
loco::Graph *graph() { return &_graph; }
private:
template <typename T> uint32_t setSampleShape(T *op)
{
const uint32_t n = 1;
const uint32_t h = 100;
const uint32_t w = 100;
const uint32_t c = 3;
op->rank(4);
op->dim(0).set(n);
op->dim(1).set(c);
op->dim(2).set(h);
op->dim(3).set(w);
return n * h * w * c;
}
template <typename T> T *last(T *node)
{
_last = node;
return node;
}
private:
loco::Graph _graph;
loco::Node *_last;
};
struct TypeInferenceTest : public Sequential, public ::testing::Test
{
virtual ~TypeInferenceTest() = default;
};
} // namespace
// TypeInference SHOULD PROPAGATE type information properly
TEST_F(TypeInferenceTest, Regression_0000)
{
auto pull = addPullLayer(loco::DataType::S8);
auto relu = addReLULayer();
auto push = addPushLayer();
using namespace exo;
TypeInferencePass type_inf_pass;
type_inf_pass.run(graph());
ASSERT_EQ(TypeInference::get(relu), tflite::TensorType_INT8);
ASSERT_EQ(TypeInference::get(push), tflite::TensorType_INT8);
}
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