86 lines
3.1 KiB
C++
86 lines
3.1 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 "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_f.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 = "${MANIFEST}";
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template <typename T>
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struct RangeTest
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{
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T start;
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T stop;
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T step;
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Shape expected_result_shape;
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std::vector<T> expected_result;
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};
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// TODO(amprocte): We should test this with more than just int32, but there is a bug in the
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// handling of element type-changing that is currently blocking doing that easily.
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NGRAPH_TEST(${BACKEND_NAME}, range)
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{
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// Create a graph for f(start,stop,step) = Range(start,stop,step).
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auto start = make_shared<op::Parameter>(element::i32, Shape{});
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auto stop = make_shared<op::Parameter>(element::i32, Shape{});
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auto step = make_shared<op::Parameter>(element::i32, Shape{});
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auto range = make_shared<op::Range>(start, stop, step);
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ASSERT_TRUE(range->get_output_partial_shape(0).same_scheme(PartialShape::dynamic(1)));
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auto f = make_shared<Function>(NodeVector{range}, ParameterVector{start, stop, step});
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auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
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auto ex = backend->compile(f);
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auto t_r = backend->create_dynamic_tensor(element::i32, PartialShape::dynamic());
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std::vector<RangeTest<int32_t>> int32_tests = {
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RangeTest<int32_t>{0, 10, 1, Shape{10}, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}},
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RangeTest<int32_t>{-5, 6, 3, Shape{4}, {-5, -2, 1, 4}},
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RangeTest<int32_t>{10, 0, 1, Shape{0}, {}},
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RangeTest<int32_t>{10, 5, -3, Shape{2}, {10, 7}}};
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for (auto& test : int32_tests)
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{
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auto t_start = backend->create_tensor(element::i32, Shape{});
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auto t_stop = backend->create_tensor(element::i32, Shape{});
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auto t_step = backend->create_tensor(element::i32, Shape{});
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copy_data(t_start, std::vector<int32_t>{test.start});
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copy_data(t_stop, std::vector<int32_t>{test.stop});
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copy_data(t_step, std::vector<int32_t>{test.step});
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ex->call_with_validate({t_r}, {t_start, t_stop, t_step});
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ASSERT_EQ(t_r->get_element_type(), element::i32);
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ASSERT_EQ(t_r->get_shape(), test.expected_result_shape);
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auto results = read_vector<int32_t>(t_r);
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ASSERT_EQ(results, test.expected_result);
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}
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}
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