//***************************************************************************** // 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 <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/random.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; static string s_manifest = "${MANIFEST}"; // Trivial case with no reduced axes. NGRAPH_TEST(${BACKEND_NAME}, all_trivial) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, vector<char>{1, 0, 0, 1}); auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1, 0, 0, 1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2_to_scalar_false) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, vector<char>{1, 0, 0, 1}); auto result = backend->create_tensor(element::boolean, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2_to_scalar_true) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, vector<char>{1, 1, 1, 1}); auto result = backend->create_tensor(element::boolean, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x0_to_scalar) { Shape shape{2, 0}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); auto result = backend->create_tensor(element::boolean, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x3_eliminate_col_dim) { Shape shape{2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, test::NDArray<char, 2>({{1, 0, 1}, {1, 1, 1}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x3_eliminate_row_dim) { Shape shape{2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, test::NDArray<char, 2>({{1, 0, 1}, {1, 1, 0}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{3}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1, 0, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dim_0) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2, 3}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 0, 0, 1, 1, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dim_1) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2, 3}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1, 0, 0, 0, 1, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dim_2) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{2}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2, 2}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 0, 0, 1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dims_0_1) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 1}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{3}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 0, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dims_0_2) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 2}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dims_1_2) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{1, 2}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_2x2x3_eliminate_dims_0_1_2) { Shape shape{2, 2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto f = make_shared<Function>(make_shared<op::All>(A, AxisSet{0, 1, 2}), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data( a, test::NDArray<char, 3>({{{1, 0, 1}, {1, 1, 0}}, {{0, 1, 0}, {1, 1, 1}}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_dynamic_axis) { Shape shape{2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto B = op::Constant::create(element::i64, Shape{1}, {1}); auto f = make_shared<Function>(make_shared<op::All>(A, B), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, test::NDArray<char, 2>({{1, 0, 1}, {1, 1, 1}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{2}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{0, 1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_change_axis) { Shape shape{2, 3}; auto A = make_shared<op::Parameter>(element::boolean, shape); auto B = op::Constant::create(element::i64, Shape{1}, {1}); auto all = make_shared<op::All>(A, B); ASSERT_EQ(all->get_reduction_axes(), AxisSet{1}); auto f = make_shared<Function>(all, ParameterVector{A}); all->set_reduction_axes(AxisSet{0}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::boolean, shape); copy_data(a, test::NDArray<char, 2>({{1, 0, 1}, {1, 1, 1}}).get_vector()); auto result = backend->create_tensor(element::boolean, Shape{3}); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ((vector<char>{1, 0, 1}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, all_dynamic) { // Create a graph for f(x,axes:int32) = All(x,Convert<int64>(axes)). auto x = make_shared<op::Parameter>(element::boolean, PartialShape::dynamic()); auto axes = make_shared<op::Parameter>(element::i32, PartialShape{Dimension::dynamic()}); auto axes_i64 = make_shared<op::Convert>(axes, element::i64); auto all = make_shared<op::All>(x, axes_i64); ASSERT_TRUE(all->get_output_partial_shape(0).rank().is_dynamic()); auto f = make_shared<Function>(NodeVector{all}, ParameterVector{x, axes}); auto backend = runtime::Backend::create("${BACKEND_NAME}", true); auto ex = backend->compile(f); auto t_r = backend->create_dynamic_tensor(element::boolean, PartialShape::dynamic()); std::vector<Shape> x_shapes{ Shape{2, 3}, Shape{2, 3}, Shape{2, 3}, Shape{2, 3}, Shape{5}, Shape{5}}; std::vector<std::vector<int32_t>> axeses{{}, {0}, {1}, {0, 1}, {}, {0}}; std::vector<std::vector<char>> inputs{{1, 0, 1, 0, 1, 0}, {1, 0, 1, 0, 0, 1}, {1, 0, 1, 1, 1, 1}, {1, 0, 1, 0, 1, 0}, {1, 0, 1, 0, 1}, {1, 0, 1, 0, 1}}; std::vector<Shape> expected_result_shapes{ Shape{2, 3}, Shape{3}, Shape{2}, Shape{}, Shape{5}, Shape{}}; std::vector<std::vector<char>> expected_results{ {1, 0, 1, 0, 1, 0}, {0, 0, 1}, {0, 1}, {0}, {1, 0, 1, 0, 1}, {0}}; for (size_t i = 0; i < x_shapes.size(); i++) { auto t_x = backend->create_tensor(element::boolean, x_shapes[i]); auto t_axes = backend->create_tensor(element::i32, Shape{axeses[i].size()}); copy_data(t_x, inputs[i]); copy_data(t_axes, axeses[i]); ex->call_with_validate({t_r}, {t_x, t_axes}); ASSERT_EQ(t_r->get_shape(), expected_result_shapes[i]); auto results = read_vector<char>(t_r); ASSERT_EQ(results, expected_results[i]); } }