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//*****************************************************************************
// 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 "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "ngraph/runtime/backend.hpp"
#include "ngraph/util.hpp"
#include "util/all_close_f.hpp"
#include "util/test_tools.hpp"
using namespace std;
using namespace ngraph;
TEST(backend_api, registered_devices)
{
vector<string> devices = runtime::Backend::get_registered_devices();
EXPECT_GE(devices.size(), 0);
EXPECT_TRUE(find(devices.begin(), devices.end(), "INTERPRETER") != devices.end());
}
TEST(backend_api, invalid_name)
{
ASSERT_ANY_THROW(ngraph::runtime::Backend::create("COMPLETELY-BOGUS-NAME"));
}
TEST(backend_api, config)
{
auto backend = runtime::Backend::create("INTERPRETER");
string error;
string message = "hello";
map<string, string> config = {{"test_echo", message}};
EXPECT_TRUE(backend->set_config(config, error));
EXPECT_STREQ(error.c_str(), message.c_str());
EXPECT_FALSE(backend->set_config({}, error));
EXPECT_STREQ(error.c_str(), "");
}
TEST(backend_api, config_unsupported)
{
auto backend = runtime::Backend::create("NOP");
string error;
string message = "hello";
map<string, string> config = {{"test_echo", message}};
EXPECT_FALSE(backend->set_config(config, error));
EXPECT_FALSE(error == "");
}
#ifndef NGRAPH_JSON_DISABLE
TEST(backend_api, save_load)
{
Shape shape{2, 2};
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::Add>(A, B), ParameterVector{A, B});
auto backend = runtime::Backend::create("INTERPRETER");
// Create some tensors for input/output
shared_ptr<runtime::Tensor> a = backend->create_tensor(element::f32, shape);
shared_ptr<runtime::Tensor> b = backend->create_tensor(element::f32, shape);
shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, shape);
copy_data<float>(a, {1.f, 2.f, 3.f, 4.f});
copy_data<float>(b, {5.f, 6.f, 7.f, 8.f});
stringstream file;
{
auto handle = backend->compile(f);
handle->save(file);
}
{
auto handle = backend->load(file);
ASSERT_NE(handle, nullptr);
handle->call_with_validate({result}, {a, b});
EXPECT_TRUE(test::all_close_f(read_vector<float>(result), {6.f, 8.f, 10.f, 12.f}));
}
}
#endif
#if defined(NGRAPH_INTERPRETER_ENABLE) && defined(NGRAPH_CPU_ENABLE)
TEST(backend_api, executable_can_create_tensor)
{
auto interpreter = runtime::Backend::create("INTERPRETER");
auto cpu = runtime::Backend::create("CPU");
EXPECT_TRUE(interpreter->executable_can_create_tensors());
EXPECT_FALSE(cpu->executable_can_create_tensors());
}
#endif