backend_debug_api.cpp

//*****************************************************************************
// 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 <random>
#include <sstream>
#include <string>
#include <vector>

#include "gtest/gtest.h"
#include "ngraph/log.hpp"
#include "ngraph/ngraph.hpp"
#include "ngraph/runtime/interpreter/int_backend.hpp"
#include "util/test_tools.hpp"

using namespace std;
using namespace ngraph;

TEST(INTERPRETER, nan_check_input)
{
    Shape shape{4};
    auto A = make_shared<op::Parameter>(element::f32, shape);
    auto B = make_shared<op::Parameter>(element::f32, shape);
    auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});

    shared_ptr<runtime::Backend> backend = runtime::Backend::create("INTERPRETER");

    shared_ptr<runtime::interpreter::INTBackend> ibackend =
        static_pointer_cast<runtime::interpreter::INTBackend>(backend);

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::f32, shape);
    copy_data(a, vector<float>{2, 4, NAN, 16});
    auto b = backend->create_tensor(element::f32, shape);
    copy_data(b, vector<float>{1, 2, 1, 8});
    auto result = backend->create_tensor(element::f32, shape);

    auto handle = backend->compile(f);
    ibackend->set_nan_check(handle, true);
    EXPECT_ANY_THROW(ibackend->call_with_validate(handle, {result}, {a, b}));
}

TEST(INTERPRETER, nan_check_output)
{
    Shape shape{4};
    auto A = make_shared<op::Parameter>(element::f32, shape);
    auto B = make_shared<op::Parameter>(element::f32, shape);
    auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});

    shared_ptr<runtime::Backend> backend = runtime::Backend::create("INTERPRETER");

    shared_ptr<runtime::interpreter::INTBackend> ibackend =
        static_pointer_cast<runtime::interpreter::INTBackend>(backend);

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::f32, shape);
    copy_data(a, vector<float>{2, 4, 0, 16});
    auto b = backend->create_tensor(element::f32, shape);
    copy_data(b, vector<float>{1, 2, 0, 8});
    auto result = backend->create_tensor(element::f32, shape);

    auto handle = backend->compile(f);
    ibackend->set_nan_check(handle, true);
    EXPECT_ANY_THROW(ibackend->call_with_validate(handle, {result}, {a, b}));
}