281 lines
10 KiB
C++
281 lines
10 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include <algorithm>
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#include <cinttypes>
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#include <cmath>
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#include <cstdlib>
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#include <string>
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "runtime/backend.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/random.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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// Trivial case with no reduced axes.
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NGRAPH_TEST(${BACKEND_NAME}, any_trivial)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, vector<char>{0, 1, 1, 0});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0, 1, 1, 0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2_to_scalar_true)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, vector<char>{0, 1, 1, 0});
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auto result = backend->create_tensor(element::boolean, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2_to_scalar_false)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, vector<char>{0, 0, 0, 0});
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auto result = backend->create_tensor(element::boolean, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x0_to_scalar)
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{
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Shape shape{2, 0};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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auto result = backend->create_tensor(element::boolean, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x3_eliminate_col_dim)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, test::NDArray<char, 2>({{0, 1, 0}, {0, 0, 0}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x3_eliminate_row_dim)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, test::NDArray<char, 2>({{0, 1, 0}, {0, 0, 1}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{3});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0, 1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_0)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2, 3});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 1, 1, 0, 0, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_1)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2, 3});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{0, 1, 1, 1, 0, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_2)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{2}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2, 2});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 1, 1, 0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_1)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{3});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_2)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 2}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_1_2)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1, 2}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{2});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_1_2)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1, 2}), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(
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a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
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auto result = backend->create_tensor(element::boolean, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<char>{1}), read_vector<char>(result));
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}
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