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125 lines
5.4 KiB
125 lines
5.4 KiB
/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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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 <memory>
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#include "common/common_test.h"
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#include "include/api/context.h"
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namespace mindspore {
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class TestCxxApiContext : public UT::Common {
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public:
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TestCxxApiContext() = default;
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};
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TEST_F(TestCxxApiContext, test_context_device_info_cast_SUCCESS) {
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std::shared_ptr<DeviceInfoContext> cpu = std::make_shared<CPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> mali_gpu = std::make_shared<MaliGPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> kirin_npu = std::make_shared<KirinNPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> nvidia_gpu = std::make_shared<NvidiaGPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> ascend310 = std::make_shared<Ascend310DeviceInfo>();
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std::shared_ptr<DeviceInfoContext> ascend910 = std::make_shared<Ascend910DeviceInfo>();
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ASSERT_TRUE(cpu->Cast<CPUDeviceInfo>() != nullptr);
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ASSERT_TRUE(mali_gpu->Cast<MaliGPUDeviceInfo>() != nullptr);
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ASSERT_TRUE(kirin_npu->Cast<KirinNPUDeviceInfo>() != nullptr);
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ASSERT_TRUE(nvidia_gpu->Cast<NvidiaGPUDeviceInfo>() != nullptr);
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ASSERT_TRUE(ascend310->Cast<Ascend310DeviceInfo>() != nullptr);
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ASSERT_TRUE(ascend910->Cast<Ascend910DeviceInfo>() != nullptr);
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}
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TEST_F(TestCxxApiContext, test_context_device_info_cast_FAILED) {
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std::shared_ptr<DeviceInfoContext> cpu = std::make_shared<CPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> mali_gpu = std::make_shared<MaliGPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> kirin_npu = std::make_shared<KirinNPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> nvidia_gpu = std::make_shared<NvidiaGPUDeviceInfo>();
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std::shared_ptr<DeviceInfoContext> ascend310 = std::make_shared<Ascend310DeviceInfo>();
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std::shared_ptr<DeviceInfoContext> ascend910 = std::make_shared<Ascend910DeviceInfo>();
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ASSERT_TRUE(cpu->Cast<MaliGPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(kirin_npu->Cast<MaliGPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(nvidia_gpu->Cast<MaliGPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(ascend310->Cast<MaliGPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(ascend910->Cast<MaliGPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(mali_gpu->Cast<CPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(kirin_npu->Cast<CPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(nvidia_gpu->Cast<CPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(ascend310->Cast<CPUDeviceInfo>() == nullptr);
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ASSERT_TRUE(ascend910->Cast<CPUDeviceInfo>() == nullptr);
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}
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TEST_F(TestCxxApiContext, test_context_get_set_SUCCESS) {
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int32_t thread_num = 22;
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auto context = std::make_shared<Context>();
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context->SetThreadNum(thread_num);
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ASSERT_EQ(context->GetThreadNum(), thread_num);
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}
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TEST_F(TestCxxApiContext, test_context_cpu_context_SUCCESS) {
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auto context = std::make_shared<Context>();
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std::shared_ptr<CPUDeviceInfo> cpu = std::make_shared<CPUDeviceInfo>();
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cpu->SetEnableFP16(true);
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context->MutableDeviceInfo().push_back(cpu);
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ASSERT_EQ(context->MutableDeviceInfo().size(), 1);
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auto cpu_2 = context->MutableDeviceInfo()[0]->Cast<CPUDeviceInfo>();
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ASSERT_TRUE(cpu_2 != nullptr);
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ASSERT_TRUE(cpu_2->GetEnableFP16());
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}
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TEST_F(TestCxxApiContext, test_context_ascend_context_FAILED) {
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std::string option_1 = "aaa";
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std::string option_2 = "vvv";
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std::string option_3 = "www";
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std::string option_4 = "rrr";
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std::string option_5 = "ppp";
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std::string option_6 = "sss";
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uint32_t option_7 = 77;
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enum DataType option_8 = DataType::kNumberTypeInt16;
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std::vector<size_t> option_9 = {1, 2, 3, 4, 5};
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std::string option_9_ans = "1,2,3,4,5";
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auto context = std::make_shared<Context>();
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std::shared_ptr<Ascend310DeviceInfo> ascend310 = std::make_shared<Ascend310DeviceInfo>();
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ascend310->SetInputShape(option_1);
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ascend310->SetInsertOpConfigPath(option_2);
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ascend310->SetOpSelectImplMode(option_3);
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ascend310->SetPrecisionMode(option_4);
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ascend310->SetInputFormat(option_5);
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ascend310->SetFusionSwitchConfigPath(option_6);
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ascend310->SetDeviceID(option_7);
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ascend310->SetOutputType(option_8);
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ascend310->SetDynamicBatchSize(option_9);
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context->MutableDeviceInfo().push_back(ascend310);
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ASSERT_EQ(context->MutableDeviceInfo().size(), 1);
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auto ctx = context->MutableDeviceInfo()[0]->Cast<Ascend310DeviceInfo>();
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ASSERT_TRUE(ctx != nullptr);
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ASSERT_EQ(ascend310->GetInputShape(), option_1);
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ASSERT_EQ(ascend310->GetInsertOpConfigPath(), option_2);
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ASSERT_EQ(ascend310->GetOpSelectImplMode(), option_3);
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ASSERT_EQ(ascend310->GetPrecisionMode(), option_4);
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ASSERT_EQ(ascend310->GetInputFormat(), option_5);
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ASSERT_EQ(ascend310->GetFusionSwitchConfigPath(), option_6);
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ASSERT_EQ(ascend310->GetDeviceID(), option_7);
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ASSERT_EQ(ascend310->GetOutputType(), option_8);
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ASSERT_EQ(ascend310->GetDynamicBatchSize(), option_9_ans);
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}
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TEST_F(TestCxxApiContext, test_context_ascend310_context_default_value_SUCCESS) {
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auto ctx = std::make_shared<Ascend310DeviceInfo>();
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ASSERT_EQ(ctx->GetOpSelectImplMode(), "");
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}
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} // namespace mindspore
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