191 lines
7.4 KiB
C++
191 lines
7.4 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.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.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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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, tensor_constant)
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{
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Shape shape{2, 2, 2};
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auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8});
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auto f = make_shared<Function>(A, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, tensor_2constant)
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{
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Shape shape{2, 2, 2};
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auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8});
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auto f = make_shared<Function>(NodeVector{A, A}, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result0 = backend->create_tensor(element::f32, shape);
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auto result1 = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result0, result1}, {});
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EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
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read_vector<float>(result0),
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MIN_FLOAT_TOLERANCE_BITS));
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EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
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read_vector<float>(result1),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_with_op)
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{
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Shape shape{2, 2, 2};
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auto A = op::Constant::create(element::f32, shape, {-1, 2, 3, -4, 5, -6, -7, 8});
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auto f = make_shared<Function>(make_shared<op::Abs>(A), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, constant_multi_use)
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{
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auto A = make_shared<op::Constant>(element::i32, Shape{}, std::vector<std::string>{"388"});
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auto f = make_shared<Function>(A, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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std::shared_ptr<runtime::Tensor> r1 = backend->create_tensor(element::i32, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({r1}, std::vector<std::shared_ptr<runtime::Tensor>>{});
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EXPECT_EQ(read_vector<int>(r1), std::vector<int>{388});
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std::shared_ptr<runtime::Tensor> r2 = backend->create_tensor(element::i32, Shape{});
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handle->call_with_validate({r2}, std::vector<std::shared_ptr<runtime::Tensor>>{});
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EXPECT_EQ(read_vector<int>(r2), std::vector<int>{388});
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}
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NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_float32)
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{
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auto r = op::Constant::create(element::f32, Shape{}, {4.75});
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auto f = make_shared<Function>(r, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::f32, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_TRUE(test::all_close_f(
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vector<float>{4.75f}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_int64)
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{
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auto r = op::Constant::create(element::i64, Shape{}, {0x4000000000000001});
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auto f = make_shared<Function>(r, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::i64, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ(vector<int64_t>{0x4000000000000001}, read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_float32)
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{
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Shape shape{2, 2};
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auto r = op::Constant::create(element::f32, shape, {4.75, 4.5, -5.25, 0.0});
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auto f = make_shared<Function>(r, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_TRUE(test::all_close_f((vector<float>{4.75f, 4.5f, -5.25f, 0.0f}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_int64)
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{
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Shape shape{2};
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auto r = op::Constant::create(element::i64, shape, {0x4000000000000001, 0x4000000000000002});
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auto f = make_shared<Function>(r, ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::i64, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<int64_t>{0x4000000000000001, 0x4000000000000002}),
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read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, constant_equality_bool)
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{
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Shape shape{4};
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// auto A = make_shared<op::Parameter>(element::boolean, shape);
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// auto B = make_shared<op::Parameter>(element::boolean, shape);
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// auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{A, B});
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auto A = op::Constant::create(element::boolean, shape, {true, false, true, false});
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auto B = op::Constant::create(element::boolean, shape, {true, true, true, true});
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auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<char>{true, false, true, false}), read_vector<char>(result));
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}
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