//***************************************************************************** // 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/known_element_types.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}, relu_2Dfprop) { auto shape_a = Shape{2, 5}; auto A = make_shared<op::Parameter>(element::f32, shape_a); auto relu = make_shared<op::Relu>(A); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(relu, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{1, 8, 0, 17, 0, 1, 8, 0, 17, 0}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected, MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, relu_2Dfprop_i32) { auto shape_a = Shape{2, 5}; auto A = make_shared<op::Parameter>(element::i32, shape_a); auto relu = make_shared<op::Relu>(A); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(relu, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{1, 8, -8, 17, -2, 1, 8, -8, 17, -1}); auto result = backend->create_tensor(element::i32, shape_rt); vector<int32_t> expected{1, 8, 0, 17, 0, 1, 8, 0, 17, 0}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ(expected, read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, relu_4Dfprop) { auto shape_a = Shape{2, 2, 2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape_a); auto relu = make_shared<op::Relu>(A); auto shape_rt = Shape{2, 2, 2, 2}; auto f = make_shared<Function>(relu, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{1, 8, 0, 17, 0, 1, 8, 0, 17, 0, 1, 8, 0, 17, 0, 1}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected, MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, fuse_max_with_constant_zero_input_as_relu) { auto shape_a = Shape{2, 5}; auto A = op::Constant::create(element::f32, shape_a, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}); auto B = make_shared<op::Parameter>(element::f32, shape_a); auto max = make_shared<op::Maximum>(A, B); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(max, ParameterVector{B}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto b = backend->create_tensor(element::f32, shape_a); copy_data(b, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{1, 8, 0, 17, 0, 1, 8, 0, 17, 0}; auto handle = backend->compile(f); handle->call_with_validate({result}, {b}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected, MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, relu_2Dbackprop) { auto shape_a = Shape{2, 5}; auto A = make_shared<op::Parameter>(element::f32, shape_a); auto delta_val = make_shared<op::Parameter>(element::f32, shape_a); auto relu = make_shared<op::ReluBackprop>(A, delta_val); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(relu, ParameterVector{A, delta_val}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5}); auto delta = backend->create_tensor(element::f32, shape_a); copy_data(delta, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{1, 2, 0, 4, 0, 6, 7, 0, 9, 0}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a, delta}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected, MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, relu_4Dbackprop) { auto shape_a = Shape{2, 2, 2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape_a); auto delta_val = make_shared<op::Parameter>(element::f32, shape_a); auto relu = make_shared<op::ReluBackprop>(A, delta_val); auto shape_rt = Shape{2, 2, 2, 2}; auto f = make_shared<Function>(relu, ParameterVector{A, delta_val}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1}); auto delta = backend->create_tensor(element::f32, shape_a); copy_data(delta, vector<float>{1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1, 8, -8, 17, -0.5, 1}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{1, 8, 0, 17, 0, 1, 8, 0, 17, 0, 1, 8, 0, 17, 0, 1}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a, delta}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected, MIN_FLOAT_TOLERANCE_BITS)); }