//***************************************************************************** // Copyright 2017-2020 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> #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}, tile_3d_small_data_rank) { Shape shape_a{3}; auto A = make_shared<op::Parameter>(element::f32, shape_a); Shape shape_re{3}; auto repeats = make_shared<op::Constant>(element::i64, shape_re, vector<int>{2, 2, 1}); Shape shape_r{2, 2, 3}; auto tile = make_shared<op::Tile>(A, repeats); auto f = make_shared<Function>(tile, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 2, 3}); auto result = backend->create_tensor(element::f32, shape_r); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f(vector<float>{1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, tile_3d_few_repeats) { Shape shape_a{2, 1, 3}; auto A = make_shared<op::Parameter>(element::f32, shape_a); Shape shape_re{2}; auto repeats = make_shared<op::Constant>(element::i64, shape_re, vector<int>{2, 1}); Shape shape_r{2, 2, 3}; auto tile = make_shared<op::Tile>(A, repeats); auto f = make_shared<Function>(tile, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1, 2, 3, 4, 5, 6}); auto result = backend->create_tensor(element::f32, shape_r); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f(vector<float>{1, 2, 3, 1, 2, 3, 4, 5, 6, 4, 5, 6}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); }