Cleanup dead file (#3452)

test/hybrid_backend.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 <memory>
-
-#include "gtest/gtest.h"
-
-#include "ngraph/log.hpp"
-#include "ngraph/ngraph.hpp"
-#include "ngraph/op/get_output_element.hpp"
-#include "ngraph/pass/manager.hpp"
-#include "ngraph/pass/visualize_tree.hpp"
-#include "ngraph/runtime/backend.hpp"
-#include "ngraph/runtime/backend_manager.hpp"
-#include "ngraph/runtime/hybrid/hybrid_backend.hpp"
-#include "ngraph/runtime/hybrid/hybrid_util.hpp"
-#include "ngraph/runtime/hybrid/op/function_call.hpp"
-#include "ngraph/runtime/interpreter/int_backend.hpp"
-#include "util/all_close.hpp"
-#include "util/all_close_f.hpp"
-#include "util/ndarray.hpp"
-#include "util/test_control.hpp"
-#include "util/test_tools.hpp"
-
-using namespace std;
-using namespace ngraph;
-
-static runtime::BackendConstructor* hybrid_creator()
-{
-    class HybridBackendConstructor : public runtime::BackendConstructor
-    {
-    public:
-        std::shared_ptr<runtime::Backend> create(const std::string& config) override
-        {
-            vector<string> unsupported_0 = {"Add", "Max"};
-            vector<string> unsupported_1 = {"Multiply"};
-            vector<shared_ptr<runtime::Backend>> backend_list = {
-                make_shared<runtime::interpreter::INTBackend>(unsupported_0),
-                runtime::Backend::create("CPU")};
-
-            return make_shared<runtime::hybrid::HybridBackend>(backend_list);
-        }
-    };
-
-    static unique_ptr<runtime::BackendConstructor> s_backend_constructor(
-        new HybridBackendConstructor());
-    return s_backend_constructor.get();
-}
-
-TEST(HYBRID, function_call)
-{
-    vector<shared_ptr<runtime::Backend>> backend_list = {
-        make_shared<runtime::interpreter::INTBackend>()};
-    auto backend = make_shared<runtime::hybrid::HybridBackend>(backend_list);
-
-    Shape shape{};
-    shared_ptr<Function> inner_function;
-    auto inner_A = make_shared<op::Parameter>(element::f32, shape);
-    auto inner_B = make_shared<op::Parameter>(element::f32, shape);
-    auto inner_C = make_shared<op::Parameter>(element::f32, shape);
-    auto inner_R1 = (inner_A + inner_B) * inner_C;
-    auto inner_R2 = (inner_A + inner_C) * inner_C;
-    NodeVector inner_Result{inner_R1, inner_R2};
-    inner_function =
-        make_shared<Function>(inner_Result, ParameterVector{inner_A, inner_B, inner_C});
-
-    auto A = make_shared<op::Parameter>(element::f32, shape);
-    auto B = make_shared<op::Parameter>(element::f32, shape);
-    auto C = make_shared<op::Parameter>(element::f32, shape);
-    NodeVector fcall_args{A, B, C};
-    auto H = make_shared<runtime::hybrid::op::FunctionCall>(
-        inner_Result, fcall_args, *inner_function, backend_list[0]);
-    auto G0 = make_shared<ngraph::op::GetOutputElement>(H, 0);
-    auto G1 = make_shared<ngraph::op::GetOutputElement>(H, 1);
-    NodeVector out{G0, G1};
-    auto J = G0 + G1;
-    auto f = make_shared<Function>(out, ParameterVector{A, B, C});
-
-    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> c = backend->create_tensor(element::f32, shape);
-    shared_ptr<runtime::Tensor> r0 = backend->create_tensor(element::f32, shape);
-    shared_ptr<runtime::Tensor> r1 = backend->create_tensor(element::f32, shape);
-
-    copy_data(a, vector<float>{2});
-    copy_data(b, vector<float>{3});
-    copy_data(c, vector<float>{4});
-
-    auto exec = backend->compile(f);
-    exec->call({r0, r1}, {a, b, c});
-
-    ngraph::pass::Manager pass_manager;
-    pass_manager.register_pass<ngraph::pass::VisualizeTree>("test.png");
-    pass_manager.run_passes(f);
-}
-
-TEST(HYBRID, abc)
-{
-    const string backend_name = "H1";
-    runtime::BackendManager::register_backend(backend_name, hybrid_creator());
-
-    Shape shape{2, 2};
-    auto A = make_shared<op::Parameter>(element::f32, shape);
-    auto B = make_shared<op::Parameter>(element::f32, shape);
-    auto C = make_shared<op::Parameter>(element::f32, shape);
-    auto D = make_shared<op::Parameter>(element::f32, shape);
-    auto t1 = A * B;
-    auto t2 = t1 * D;
-    auto t3 = (t2 + C);
-    auto t4 = (t3 + A) * t1;
-    NodeVector result({t3, t4});
-    auto f = make_shared<Function>(result, ParameterVector{A, B, C, D});
-
-    shared_ptr<runtime::Backend> backend = runtime::Backend::create("H1");
-    static_pointer_cast<runtime::hybrid::HybridBackend>(backend)->set_debug_enabled(true);
-
-    // 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> c = backend->create_tensor(element::f32, shape);
-    shared_ptr<runtime::Tensor> d = backend->create_tensor(element::f32, shape);
-    shared_ptr<runtime::Tensor> result1 = backend->create_tensor(element::f32, shape);
-    shared_ptr<runtime::Tensor> result2 = backend->create_tensor(element::f32, shape);
-
-    copy_data(a, vector<float>{1, 2, 3, 4});
-    copy_data(b, vector<float>{5, 6, 7, 8});
-    copy_data(c, vector<float>{9, 10, 11, 12});
-    copy_data(d, vector<float>{4, 3, 2, 1});
-
-    auto handle = backend->compile(f);
-    handle->call_with_validate({result1, result2}, {a, b, c, d});
-    EXPECT_TRUE(
-        test::all_close_f(read_vector<float>(result2), (vector<float>{150, 576, 1176, 1536})));
-}
-
-TEST(HYBRID, simple)
-{
-    const string backend_name = "H1";
-    runtime::BackendManager::register_backend(backend_name, hybrid_creator());
-
-    Shape shape{2, 2};
-    auto A = make_shared<op::Parameter>(element::i8, shape);
-    auto f = make_shared<Function>(make_shared<op::Max>(A, AxisSet{0, 1}), ParameterVector{A});
-
-    shared_ptr<runtime::Backend> backend = runtime::Backend::create("H1");
-    static_pointer_cast<runtime::hybrid::HybridBackend>(backend)->set_debug_enabled(true);
-
-    // Create some tensors for input/output
-    auto a = backend->create_tensor(element::i8, shape);
-    copy_data(a, vector<int8_t>{1, 2, 3, 4});
-    auto result = backend->create_tensor(element::i8, Shape{});
-
-    auto handle = backend->compile(f);
-    handle->call_with_validate({result}, {a});
-    EXPECT_EQ((vector<int8_t>{4}), read_vector<int8_t>(result));
-}