/******************************************************************************* * Copyright 2017-2018 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 <fstream> #include <sstream> #include <string> #include <vector> #include "gtest/gtest.h" #include "ngraph/file_util.hpp" #include "ngraph/function.hpp" #include "ngraph/graph_util.hpp" #include "ngraph/ngraph.hpp" #include "ngraph/serializer.hpp" #include "util/all_close.hpp" #include "util/autodiff/backprop_function.hpp" #include "util/ndarray.hpp" using namespace std; using namespace ngraph; TEST(util, split) { { string s1 = "this,is,a,test"; auto r1 = split(s1, ','); ASSERT_EQ(4, r1.size()); EXPECT_STRCASEEQ("this", r1[0].c_str()); EXPECT_STRCASEEQ("is", r1[1].c_str()); EXPECT_STRCASEEQ("a", r1[2].c_str()); EXPECT_STRCASEEQ("test", r1[3].c_str()); } { string s1 = "this,is,a,test,"; auto r1 = split(s1, ','); ASSERT_EQ(5, r1.size()); EXPECT_STRCASEEQ("this", r1[0].c_str()); EXPECT_STRCASEEQ("is", r1[1].c_str()); EXPECT_STRCASEEQ("a", r1[2].c_str()); EXPECT_STRCASEEQ("test", r1[3].c_str()); EXPECT_STRCASEEQ("", r1[4].c_str()); } { string s1 = ",this,is,a,test"; auto r1 = split(s1, ','); ASSERT_EQ(5, r1.size()); EXPECT_STRCASEEQ("", r1[0].c_str()); EXPECT_STRCASEEQ("this", r1[1].c_str()); EXPECT_STRCASEEQ("is", r1[2].c_str()); EXPECT_STRCASEEQ("a", r1[3].c_str()); EXPECT_STRCASEEQ("test", r1[4].c_str()); } { string s1 = "this,,is,a,test"; auto r1 = split(s1, ','); ASSERT_EQ(5, r1.size()); EXPECT_STRCASEEQ("this", r1[0].c_str()); EXPECT_STRCASEEQ("", r1[1].c_str()); EXPECT_STRCASEEQ("is", r1[2].c_str()); EXPECT_STRCASEEQ("a", r1[3].c_str()); EXPECT_STRCASEEQ("test", r1[4].c_str()); } { string s1 = "this"; auto r1 = split(s1, ','); ASSERT_EQ(1, r1.size()); EXPECT_STRCASEEQ("this", r1[0].c_str()); } { string s1 = ""; auto r1 = split(s1, ','); ASSERT_EQ(1, r1.size()); EXPECT_STRCASEEQ("", r1[0].c_str()); } } TEST(DISABLED_util, dump) { string text = "this is a text string used to test the dump function."; dump(cout, text.data(), text.size()); } TEST(util, stopwatch) { stopwatch t1; t1.start(); usleep(1000); t1.stop(); t1.start(); usleep(1000); t1.stop(); t1.start(); usleep(1000); t1.stop(); EXPECT_EQ(3, t1.get_call_count()); EXPECT_GT(t1.get_total_microseconds(), t1.get_microseconds()); } TEST(util, trim) { EXPECT_STREQ("test", trim("test").c_str()); EXPECT_STREQ("test", trim(" test").c_str()); EXPECT_STREQ("test", trim("test ").c_str()); EXPECT_STREQ("test", trim(" test ").c_str()); EXPECT_STREQ("test", trim(" test ").c_str()); EXPECT_STREQ("test", trim("\ttest").c_str()); EXPECT_STREQ("test", trim("test\t").c_str()); EXPECT_STREQ("test", trim("\ttest\t").c_str()); EXPECT_STREQ("test", trim(" \t test \t ").c_str()); } TEST(util, contains) { vector<int> v1 = {1, 2, 3, 4, 5, 6}; EXPECT_TRUE(contains(v1, 1)); EXPECT_TRUE(contains(v1, 4)); EXPECT_TRUE(contains(v1, 6)); EXPECT_FALSE(contains(v1, 8)); } #if defined(NGRAPH_INTERPRETER_ENABLE) TEST(util, all_close) { auto backend = runtime::Backend::create("INTERPRETER"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, Shape{2, 3}); auto b = backend->create_tensor(element::f32, Shape{2, 3}); copy_data(a, test::NDArray<float, 2>({{1, 2, 3}, {3, 4, 5}}).get_vector()); copy_data(b, test::NDArray<float, 2>({{1, 2, 3}, {3, 4, 5}}).get_vector()); EXPECT_TRUE(ngraph::test::all_close<float>(a, b)); auto c = backend->create_tensor(element::f32, Shape{2, 3}); copy_data(c, test::NDArray<float, 2>({{1.1f, 2, 3}, {3, 4, 5}}).get_vector()); EXPECT_FALSE(ngraph::test::all_close<float>(c, a, 0, .05f)); EXPECT_TRUE(ngraph::test::all_close<float>(c, a, 0, .11f)); EXPECT_FALSE(ngraph::test::all_close<float>(c, a, .05f, 0)); EXPECT_TRUE(ngraph::test::all_close<float>(c, a, .11f, 0)); } #endif TEST(util, traverse_functions) { // First create "f(A,B,C) = (A+B)*C". Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto C = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>((A + B) * C, op::ParameterVector{A, B, C}, "f"); // Now make "g(X,Y,Z) = f(X,Y,Z) + f(X,Y,Z)" auto X = make_shared<op::Parameter>(element::f32, shape); auto Y = make_shared<op::Parameter>(element::f32, shape); auto Z = make_shared<op::Parameter>(element::f32, shape); auto g = make_shared<Function>(make_shared<op::FunctionCall>(f, NodeVector{X, Y, Z}) + make_shared<op::FunctionCall>(f, NodeVector{X, Y, Z}), op::ParameterVector{X, Y, Z}, "g"); // Now make "h(X,Y,Z) = g(X,Y,Z) + g(X,Y,Z)" auto X1 = make_shared<op::Parameter>(element::f32, shape); auto Y1 = make_shared<op::Parameter>(element::f32, shape); auto Z1 = make_shared<op::Parameter>(element::f32, shape); auto h = make_shared<Function>(make_shared<op::FunctionCall>(g, NodeVector{X1, Y1, Z1}) + make_shared<op::FunctionCall>(g, NodeVector{X1, Y1, Z1}), op::ParameterVector{X1, Y1, Z1}, "h"); vector<Function*> functions; traverse_functions(h, [&](shared_ptr<Function> fp) { functions.push_back(fp.get()); }); ASSERT_EQ(3, functions.size()); } class CloneTest : public ::testing::Test { public: // (A + B) * C Shape shape = Shape{2, 2}; std::shared_ptr<op::Parameter> A = make_shared<op::Parameter>(element::f32, shape); std::shared_ptr<op::Parameter> B = make_shared<op::Parameter>(element::f32, shape); std::shared_ptr<op::Parameter> C = make_shared<op::Parameter>(element::f32, shape); std::shared_ptr<Node> AplusB = A + B; std::shared_ptr<Node> AplusBtimesC = AplusB * C; NodeMap node_map; std::list<std::shared_ptr<ngraph::Node>> nodes; std::shared_ptr<Function> func = make_shared<Function>(AplusBtimesC, op::ParameterVector{A, B, C}, "f"); void SetUp() { nodes.push_back(AplusBtimesC); nodes.push_back(AplusB); nodes.push_back(A); nodes.push_back(B); nodes.push_back(C); } bool CompareNodeVector(const std::list<std::shared_ptr<ngraph::Node>>& orig, const std::list<std::shared_ptr<ngraph::Node>>& clone, const NodeMap& nm) { if (orig.size() != clone.size()) { return false; } auto origit = orig.begin(); auto cloneit = clone.begin(); while (origit != orig.end() && cloneit != clone.end()) { if (*cloneit != nm.get_node_map().at(*origit)) { return false; } ++origit; ++cloneit; } return true; } }; TEST_F(CloneTest, clone_nodes_full) { auto cloned_nodes = clone_nodes(nodes, node_map); ASSERT_TRUE(CompareNodeVector(nodes, cloned_nodes, node_map)); ASSERT_NE(nullptr, std::dynamic_pointer_cast<op::Parameter>(node_map.get(A))); ASSERT_NE(nullptr, std::dynamic_pointer_cast<op::Parameter>(node_map.get(B))); ASSERT_NE(nullptr, std::dynamic_pointer_cast<op::Parameter>(node_map.get(C))); ASSERT_NE(nullptr, std::dynamic_pointer_cast<op::Add>(node_map.get(AplusB))); ASSERT_NE(nullptr, std::dynamic_pointer_cast<op::Multiply>(node_map.get(AplusBtimesC))); auto sorted_nodes = topological_sort(nodes); auto sorted_cloned_nodes = topological_sort(cloned_nodes); ASSERT_TRUE(CompareNodeVector(sorted_nodes, sorted_cloned_nodes, node_map)); } TEST_F(CloneTest, clone_nodes_partial) { // map A -> A' prior to clone auto Aprime = make_shared<op::Parameter>(element::f32, shape); node_map.add(A, Aprime); auto cloned_nodes = clone_nodes(nodes, node_map); ASSERT_TRUE(CompareNodeVector(nodes, cloned_nodes, node_map)); // ensure A -> A' after clone ASSERT_EQ(Aprime, node_map.get(A)); } TEST_F(CloneTest, clone_function_full) { auto cloned_func = clone_function(*func, node_map); ASSERT_TRUE(CompareNodeVector(func->get_ops(), cloned_func->get_ops(), node_map)); } TEST(graph_util, clone_multiple_results) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto C = make_shared<op::Parameter>(element::f32, shape); auto A_add_B = make_shared<op::Add>(A, B); auto A_add_B_mul_C = make_shared<op::Multiply>(A_add_B, C); auto f = make_shared<Function>(NodeVector{A_add_B, A_add_B_mul_C}, op::ParameterVector{A, B, C}); auto copy = clone_function(*f); } TEST(util, round_up) { EXPECT_EQ(0, round_up(0, 4)); EXPECT_EQ(4, round_up(1, 4)); EXPECT_EQ(4, round_up(2, 4)); EXPECT_EQ(4, round_up(3, 4)); EXPECT_EQ(4, round_up(4, 4)); EXPECT_EQ(8, round_up(5, 4)); } TEST(util, parse_string) { EXPECT_FLOAT_EQ(2, parse_string<float>("2")); EXPECT_FLOAT_EQ(2.125, parse_string<float>("2.125")); EXPECT_FLOAT_EQ(numeric_limits<float>::infinity(), parse_string<float>("INFINITY")); EXPECT_FLOAT_EQ(numeric_limits<float>::infinity(), parse_string<float>("infinity")); EXPECT_FLOAT_EQ(-numeric_limits<float>::infinity(), parse_string<float>("-INFINITY")); EXPECT_TRUE(isnan(parse_string<float>("NaN"))); EXPECT_FLOAT_EQ(2, parse_string<double>("2")); EXPECT_FLOAT_EQ(2.125, parse_string<double>("2.125")); EXPECT_FLOAT_EQ(numeric_limits<double>::infinity(), parse_string<double>("INFINITY")); EXPECT_FLOAT_EQ(numeric_limits<double>::infinity(), parse_string<double>("infinity")); EXPECT_FLOAT_EQ(-numeric_limits<double>::infinity(), parse_string<double>("-INFINITY")); EXPECT_TRUE(std::isnan(parse_string<double>("NaN"))); } TEST(graph_util, get_subgraph_outputs_trivial_tests) { auto outputs = ngraph::get_subgraph_outputs(NodeVector{}, NodeVector{}); ASSERT_EQ(outputs.size(), 0); Shape shape{}; auto A = make_shared<op::Parameter>(element::f32, shape); auto absn = make_shared<op::Abs>(A); auto neg_absn = make_shared<op::Negative>(absn); outputs = ngraph::get_subgraph_outputs(NodeVector{A}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{A})); outputs = ngraph::get_subgraph_outputs(NodeVector{A}, NodeVector{A}); ASSERT_EQ(outputs, (NodeVector{})); outputs = ngraph::get_subgraph_outputs(NodeVector{A, absn}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{absn})); auto B = make_shared<op::Parameter>(element::f32, shape); auto abs_b = make_shared<op::Abs>(B); auto neg_b = make_shared<op::Negative>(B); auto abs_b_neg = make_shared<op::Negative>(abs_b); outputs = ngraph::get_subgraph_outputs(NodeVector{B, abs_b}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{B, abs_b})); outputs = ngraph::get_subgraph_outputs(NodeVector{B, abs_b}, NodeVector{B}); ASSERT_EQ(outputs, (NodeVector{abs_b})); outputs = ngraph::get_subgraph_outputs(NodeVector{B, abs_b, abs_b_neg}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{B})); auto add_b = make_shared<op::Add>(neg_b, abs_b_neg); outputs = ngraph::get_subgraph_outputs(NodeVector{B, abs_b, neg_b, abs_b_neg, add_b}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{})); //now add_b uses abs_b_neg outputs = ngraph::get_subgraph_outputs(NodeVector{B, abs_b, abs_b_neg}, NodeVector{}); ASSERT_EQ(outputs, (NodeVector{B, abs_b_neg})); } TEST(util, test_fprop_cache) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto C = make_shared<op::Parameter>(element::f32, shape); auto output = (A + B) * C + A; auto f = make_shared<Function>(NodeVector{output}, op::ParameterVector{A, B, C}); auto bf = autodiff::backprop_function(f); auto fprop_cache = cache_fprop(f, bf); EXPECT_EQ(fprop_cache.fprop->get_results().size(), 2); EXPECT_EQ(fprop_cache.bprop->get_parameters().size(), 5); }