106 lines
3.9 KiB
C++
106 lines
3.9 KiB
C++
//*****************************************************************************
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// Copyright 2017-2021 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 "gtest/gtest.h"
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#include "ngraph/ngraph.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/test_control.hpp"
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#include "util/test_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, non_zero)
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{
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PartialShape p_shape = PartialShape::dynamic();
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auto p = make_shared<op::Parameter>(element::f32, p_shape);
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auto non_zero = make_shared<op::v3::NonZero>(p, element::i32);
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auto fun = make_shared<Function>(OutputVector{non_zero}, ParameterVector{p});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto cfun = backend->compile(fun);
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auto input = backend->create_tensor(element::f32, Shape{3, 2});
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copy_data(input, vector<float>{0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 3.0f});
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std::vector<int32_t> expected_result{2, 2, 0, 1};
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Shape expected_output_shape{2, 2};
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auto result = make_shared<HostTensor>();
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cfun->call_with_validate({result}, {input});
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EXPECT_EQ(result->get_element_type(), element::i32);
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EXPECT_EQ(result->get_shape(), expected_output_shape);
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auto result_data = read_vector<int32_t>(result);
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ASSERT_EQ(result_data, expected_result);
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}
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NGRAPH_TEST(${BACKEND_NAME}, non_zero_all_1s)
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{
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PartialShape p_shape = PartialShape::dynamic();
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auto p = make_shared<op::Parameter>(element::i32, p_shape);
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auto non_zero = make_shared<op::v3::NonZero>(p, element::i64);
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auto fun = make_shared<Function>(OutputVector{non_zero}, ParameterVector{p});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto cfun = backend->compile(fun);
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Shape input_shape{3, 2};
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vector<int32_t> input_data(shape_size(input_shape), 1);
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auto input = backend->create_tensor(element::i32, input_shape);
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copy_data(input, input_data);
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std::vector<int64_t> expected_result{0, 0, 1, 1, 2, 2, 0, 1, 0, 1, 0, 1};
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Shape expected_output_shape{2, 6};
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auto result = make_shared<HostTensor>();
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cfun->call_with_validate({result}, {input});
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EXPECT_EQ(result->get_element_type(), element::i64);
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EXPECT_EQ(result->get_shape(), expected_output_shape);
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auto result_data = read_vector<int64_t>(result);
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ASSERT_EQ(result_data, expected_result);
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}
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NGRAPH_TEST(${BACKEND_NAME}, non_zero_all_0s)
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{
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PartialShape p_shape = PartialShape::dynamic();
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auto p = make_shared<op::Parameter>(element::i32, p_shape);
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auto non_zero = make_shared<op::v3::NonZero>(p, element::i64);
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auto fun = make_shared<Function>(OutputVector{non_zero}, ParameterVector{p});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto cfun = backend->compile(fun);
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Shape input_shape{3, 2};
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vector<int32_t> input_data(shape_size(input_shape), 0);
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auto input = backend->create_tensor(element::i32, input_shape);
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copy_data(input, input_data);
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Shape expected_output_shape{input_shape.size(), 0};
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auto result = make_shared<HostTensor>();
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cfun->call_with_validate({result}, {input});
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EXPECT_EQ(result->get_element_type(), element::i64);
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EXPECT_EQ(result->get_shape(), expected_output_shape);
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auto result_data = read_vector<int64_t>(result);
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ASSERT_EQ(result_data.data(), nullptr);
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}
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