//***************************************************************************** // 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 <algorithm> #include <cinttypes> #include <cmath> #include <cstdlib> #include <random> #include <string> // clang-format off #ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS #define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS #endif #ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS #define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS #endif // clang-format on #include "gtest/gtest.h" #include "ngraph/ngraph.hpp" #include "util/all_close.hpp" #include "util/all_close_f.hpp" #include "util/ndarray.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; static string s_manifest = "${MANIFEST}"; NGRAPH_TEST(${BACKEND_NAME}, minimum) { Shape shape{2, 2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(make_shared<op::Minimum>(A, B), ParameterVector{A, B}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape); copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0.5, 2, 1}); auto b = backend->create_tensor(element::f32, shape); copy_data(b, vector<float>{1, 2, 4, 8, 0, 0, 1, 1.5}); auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_TRUE( test::all_close_f((vector<float>{1, 2, -8, 8, -.5, 0, 1, 1}), read_vector<float>(result))); } NGRAPH_TEST(${BACKEND_NAME}, minimum_int32) { Shape shape{2, 2, 2}; auto A = make_shared<op::Parameter>(element::i32, shape); auto B = make_shared<op::Parameter>(element::i32, shape); auto f = make_shared<Function>(make_shared<op::Minimum>(A, B), ParameterVector{A, B}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape); copy_data(a, vector<int32_t>{1, 8, -8, 17, -5, 67635216, 2, 1}); auto b = backend->create_tensor(element::i32, shape); copy_data(b, vector<int32_t>{1, 2, 4, 8, 0, 18448, 1, 6}); auto result = backend->create_tensor(element::i32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_EQ((vector<int32_t>{1, 2, -8, 8, -5, 18448, 1, 1}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, minimum_int64) { Shape shape{2, 2, 2}; auto A = make_shared<op::Parameter>(element::i64, shape); auto B = make_shared<op::Parameter>(element::i64, shape); auto f = make_shared<Function>(make_shared<op::Minimum>(A, B), ParameterVector{A, B}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i64, shape); copy_data(a, vector<int64_t>{1, 8, -8, 17, -5, 67635216, 2, 17179887632}); auto b = backend->create_tensor(element::i64, shape); copy_data(b, vector<int64_t>{1, 2, 4, 8, 0, 18448, 1, 280592}); auto result = backend->create_tensor(element::i64, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_EQ((vector<int64_t>{1, 2, -8, 8, -5, 18448, 1, 280592}), read_vector<int64_t>(result)); }