//***************************************************************************** // 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/ngraph.hpp" #include "util/all_close.hpp" #include "util/all_close_f.hpp" #include "util/ndarray.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; static string s_manifest = "${MANIFEST}"; NGRAPH_TEST(${BACKEND_NAME}, tensor_constant) { Shape shape{2, 2, 2}; auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8}); auto f = make_shared<Function>(A, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, tensor_2constant) { Shape shape{2, 2, 2}; auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8}); auto f = make_shared<Function>(NodeVector{A, A}, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result0 = backend->create_tensor(element::f32, shape); auto result1 = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result0, result1}, {}); EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}), read_vector<float>(result0), MIN_FLOAT_TOLERANCE_BITS)); EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}), read_vector<float>(result1), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_with_op) { Shape shape{2, 2, 2}; auto A = op::Constant::create(element::f32, shape, {-1, 2, 3, -4, 5, -6, -7, 8}); auto f = make_shared<Function>(make_shared<op::Abs>(A), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, constant_multi_use) { auto A = make_shared<op::Constant>(element::i32, Shape{}, std::vector<std::string>{"388"}); auto f = make_shared<Function>(A, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); std::shared_ptr<runtime::Tensor> r1 = backend->create_tensor(element::i32, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({r1}, std::vector<std::shared_ptr<runtime::Tensor>>{}); EXPECT_EQ(read_vector<int>(r1), std::vector<int>{388}); std::shared_ptr<runtime::Tensor> r2 = backend->create_tensor(element::i32, Shape{}); handle->call_with_validate({r2}, std::vector<std::shared_ptr<runtime::Tensor>>{}); EXPECT_EQ(read_vector<int>(r2), std::vector<int>{388}); } NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_float32) { auto r = op::Constant::create(element::f32, Shape{}, {4.75}); auto f = make_shared<Function>(r, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::f32, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_TRUE(test::all_close_f( vector<float>{4.75f}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_int64) { auto r = op::Constant::create(element::i64, Shape{}, {0x4000000000000001}); auto f = make_shared<Function>(r, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::i64, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ(vector<int64_t>{0x4000000000000001}, read_vector<int64_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_float32) { Shape shape{2, 2}; auto r = op::Constant::create(element::f32, shape, {4.75, 4.5, -5.25, 0.0}); auto f = make_shared<Function>(r, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_TRUE(test::all_close_f((vector<float>{4.75f, 4.5f, -5.25f, 0.0f}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_int64) { Shape shape{2}; auto r = op::Constant::create(element::i64, shape, {0x4000000000000001, 0x4000000000000002}); auto f = make_shared<Function>(r, ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::i64, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<int64_t>{0x4000000000000001, 0x4000000000000002}), read_vector<int64_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, constant_equality_bool) { Shape shape{4}; // auto A = make_shared<op::Parameter>(element::boolean, shape); // auto B = make_shared<op::Parameter>(element::boolean, shape); // auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{A, B}); auto A = op::Constant::create(element::boolean, shape, {true, false, true, false}); auto B = op::Constant::create(element::boolean, shape, {true, true, true, true}); auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<char>{true, false, true, false}), read_vector<char>(result)); }