79 lines
3.0 KiB
C++
79 lines
3.0 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 <random>
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#include <sstream>
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#include <string>
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#include <vector>
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#include "gtest/gtest.h"
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#include "ngraph/log.hpp"
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#include "ngraph/ngraph.hpp"
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#include "runtime/interpreter/int_executable.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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TEST(INTERPRETER, nan_check_input)
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{
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Shape shape{4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto B = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
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shared_ptr<runtime::Backend> backend = runtime::Backend::create("INTERPRETER");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{2, 4, NAN, 16});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 2, 1, 8});
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auto result = backend->create_tensor(element::f32, shape);
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shared_ptr<runtime::Executable> handle = backend->compile(f);
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shared_ptr<runtime::interpreter::INTExecutable> ihandle =
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static_pointer_cast<runtime::interpreter::INTExecutable>(handle);
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ihandle->set_nan_check(true);
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EXPECT_ANY_THROW(handle->call_with_validate({result}, {a, b}));
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}
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TEST(INTERPRETER, nan_check_output)
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{
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Shape shape{4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto B = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
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shared_ptr<runtime::Backend> backend = runtime::Backend::create("INTERPRETER");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{2, 4, 0, 16});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 2, 0, 8});
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auto result = backend->create_tensor(element::f32, shape);
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shared_ptr<runtime::Executable> handle = backend->compile(f);
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shared_ptr<runtime::interpreter::INTExecutable> ihandle =
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static_pointer_cast<runtime::interpreter::INTExecutable>(handle);
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ihandle->set_nan_check(true);
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EXPECT_ANY_THROW(handle->call_with_validate({result}, {a, b}));
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}
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