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//*****************************************************************************
// Copyright 2017-2019 Intel Corporation
//
// 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 "ngraph/file_util.hpp"
#include "ngraph/ngraph.hpp"
#include "ngraph/serializer.hpp"
#include "util/test_tools.hpp"
#include <memory>
using namespace std;
using namespace ngraph;
TEST(build_graph, build_simple)
{
// Function with 4 parameters
auto arg0 = make_shared<op::Parameter>(element::f32, Shape{7, 3});
auto arg1 = make_shared<op::Parameter>(element::f32, Shape{3});
auto arg2 = make_shared<op::Parameter>(element::f32, Shape{32, 7});
auto arg3 = make_shared<op::Parameter>(element::f32, Shape{32, 7});
auto broadcast_1 = make_shared<op::Broadcast>(arg3, Shape{10, 32, 7}, AxisSet{0});
auto b1 = make_shared<op::Broadcast>(arg3, Shape{10, 32, 7}, AxisSet{0});
auto dot = make_shared<op::Dot>(arg2, arg0);
ASSERT_EQ(dot->get_arguments()[0], arg2);
ASSERT_EQ(dot->get_arguments()[1], arg0);
auto cluster_0 = make_shared<Function>(dot, ParameterVector{arg0, arg1, arg2, arg3});
ASSERT_EQ(cluster_0->get_output_op(0)->get_argument(0), dot);
}
// Check node comparisons
TEST(build_graph, node_comparison)
{
auto arg0 = make_shared<op::Parameter>(element::f32, Shape{32, 3});
auto arg1 = make_shared<op::Parameter>(element::f32, Shape{3});
auto arg2 = make_shared<op::Parameter>(element::f32, Shape{32});
auto dot = make_shared<op::Dot>(arg0, arg1);
auto add = make_shared<op::Add>(dot, arg2);
auto parg = make_shared<op::Parameter>(element::f32, Shape{});
auto pattern_dot = make_shared<op::Dot>(parg, parg);
}
TEST(build_graph, literal)
{
// float scalar from a float
// auto float0 = FloatConstant::make(3.0);
vector<float> float_t{3.0};
auto float0 = make_shared<op::Constant>(element::f32, Shape{}, float_t);
ASSERT_EQ(float0->get_vector<float>(), std::vector<float>{3.0});
ASSERT_EQ(float0->get_element_type(), element::f32);
ASSERT_EQ(float0->get_shape(), Shape{});
auto d = make_shared<op::Dot>(float0, float0);
ASSERT_EQ(d->get_arguments().at(0), float0);
ASSERT_EQ(d->get_arguments().at(1), float0);
vector<int32_t> int32{3};
auto int32_0 = make_shared<op::Constant>(element::i32, Shape{}, int32);
ASSERT_EQ(int32_0->get_vector<int32_t>(), std::vector<int>{3});
ASSERT_EQ(int32_0->get_element_type(), element::i32);
ASSERT_EQ(int32_0->get_shape(), Shape{});
}
TEST(build_graph, tensor)
{
// float scalar from a float
// auto float0 = FloatConstant::make(3.0);
Shape shape{2, 3};
vector<float> float_t(shape_size(shape), 0);
auto float0 = make_shared<op::Constant>(element::f32, shape, float_t);
ASSERT_EQ(float0->get_element_type(), element::f32);
ASSERT_EQ(float0->get_shape(), shape);
auto d = make_shared<op::Add>(float0, float0);
ASSERT_EQ(d->get_arguments().at(0), float0);
ASSERT_EQ(d->get_arguments().at(1), float0);
Shape ishape{3, 5};
vector<int32_t> idata(shape_size(ishape), 0);
auto int32_0 = make_shared<op::Constant>(element::i32, ishape, idata);
ASSERT_EQ(int32_0->get_element_type(), element::i32);
ASSERT_EQ(int32_0->get_shape(), ishape);
}
// Check functions with undeclared parameters
TEST(build_graph, function_undeclared_parameters)
{
// Function with 4 parameters
auto arg0 = make_shared<op::Parameter>(element::f32, Shape{7, 3});
auto arg1 = make_shared<op::Parameter>(element::f32, Shape{3});
auto arg2 = make_shared<op::Parameter>(element::f32, Shape{32, 7});
auto arg3 = make_shared<op::Parameter>(element::f32, Shape{32, 7});
auto broadcast_1 = make_shared<op::Broadcast>(arg3, Shape{10, 32, 7}, AxisSet{0});
auto b1 = make_shared<op::Broadcast>(arg3, Shape{10, 32, 7}, AxisSet{0});
auto dot = make_shared<op::Dot>(arg2, arg0);
ASSERT_EQ(dot->get_arguments()[0], arg2);
ASSERT_EQ(dot->get_arguments()[1], arg0);
try
{
auto f = make_shared<Function>(dot, ParameterVector{arg0, arg1, arg3});
f->get_ops();
// Should have thrown, so fail if it didn't
FAIL() << "Undeclared parameter not detected.";
}
catch (const ngraph_error& error)
{
EXPECT_EQ(error.what(), std::string("Function references undeclared parameter"));
}
catch (...)
{
FAIL() << "Function construction failed for unexpected reason";
}
}
// Check no-arg construction
TEST(build_graph, no_arg_construction)
{
// The ops
// Parameters aren't converted yet
auto arg0 = make_shared<op::Parameter>(element::f32, Shape{7});
auto arg1 = make_shared<op::Parameter>(element::f32, Shape{7});
auto arg2 = make_shared<op::Parameter>(element::f32, Shape{7});
auto arg3 = make_shared<op::Parameter>(element::f32, Shape{7});
auto add0 = make_shared<op::Add>();
auto abs0 = make_shared<op::Abs>();
auto acos0 = make_shared<op::Acos>();
auto add1 = make_shared<op::Add>();
add0->set_argument(1, arg0);
add0->set_argument(0, arg1);
abs0->set_argument(0, add0);
acos0->set_argument(0, add0);
add1->set_argument(0, acos0);
add1->set_argument(1, abs0);
NodeVector ops{arg0, arg1, add0, abs0, acos0, add1};
validate_nodes_and_infer_types(ops);
ASSERT_EQ(add1->get_output_shape(0), Shape{7});
}
TEST(build_graph, multi_output_split)
{
const auto data = make_shared<op::Parameter>(element::f32, Shape{64, 8, 100, 150});
auto filters = make_shared<op::Parameter>(element::f32, Shape{128, 2, 10, 20});
const auto split = make_shared<op::Split>(data, 1, 2);
auto conv = make_shared<op::GroupConvolution>(split->output(1),
filters,
Strides{1, 1},
Strides{1, 1},
CoordinateDiff{0, 0},
CoordinateDiff{0, 0},
Strides{1, 1},
2);
EXPECT_EQ(conv->get_shape(), (Shape{64, 128, 91, 131}));
}
TEST(build_graph, multi_output_split_dynamic)
{
const auto data = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
const auto split = make_shared<op::Split>(data, 1, 2);
auto abs = make_shared<op::Abs>(split->output(1));
EXPECT_TRUE(abs->get_output_partial_shape(0).same_scheme(PartialShape::dynamic()));
auto f = make_shared<Function>(abs, ParameterVector{data});
auto new_parameter = make_shared<op::Parameter>(element::f32, Shape{2, 4});
split->input(0).replace_source_output(new_parameter->output(0));
f->validate_nodes_and_infer_types();
EXPECT_EQ(abs->get_shape(), (Shape{2, 2}));
}
TEST(build_graph, function_revalidate_and_infer)
{
auto arg = make_shared<op::Parameter>(element::f32, Shape{2, 4, 6, 8});
auto pattern = op::Constant::create(element::i64, Shape{6}, {1, 3, 16, 2, 2, 2});
auto r = make_shared<op::DynReshape>(arg, pattern);
auto relu = make_shared<op::Relu>(r);
auto f = make_shared<Function>(relu, ParameterVector{arg});
EXPECT_EQ(r->get_output_element_type(0), element::f32);
EXPECT_EQ(r->get_output_shape(0), (Shape{1, 3, 16, 2, 2, 2}));
EXPECT_EQ(f->get_output_shape(0), (Shape{1, 3, 16, 2, 2, 2}));
auto new_pattern = op::Constant::create(element::i64, Shape{2}, {32, 12});
r->input(1).replace_source_output(new_pattern->output(0));
f->validate_nodes_and_infer_types();
EXPECT_EQ(r->get_output_shape(0), (Shape{32, 12}));
EXPECT_EQ(f->get_output_shape(0), (Shape{32, 12}));
}
TEST(build_graph, validate_function_for_dynamic_shape)
{
auto make_function = [&](bool dynamic_shape) {
auto param1_shape =
dynamic_shape ? PartialShape{Dimension::dynamic(), 2, 3} : Shape{5, 4, 2};
auto param2_shape = dynamic_shape ? PartialShape::dynamic() : Shape{5, 2, 3};
auto param_1 = std::make_shared<op::Parameter>(element::f32, param1_shape);
auto param_2 = std::make_shared<op::Parameter>(element::f32, param2_shape);
auto batch_dot = make_shared<op::BatchMatMul>(param_1, param_2);
auto f = make_shared<Function>(NodeVector{batch_dot}, ParameterVector{param_1, param_2});
return f;
};
EXPECT_EQ(true, make_function(true)->is_dynamic());
EXPECT_EQ(false, make_function(false)->is_dynamic());
}