graphengine/tests/ut/ge/single_op/single_op_model_unittest.cc

/**
 * Copyright 2019-2020 Huawei Technologies Co., Ltd
 *
 * 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 <vector>

#define protected public
#define private public
#include "graph/load/model_manager/model_utils.h"
#include "graph/utils/graph_utils.h"
#include "runtime/rt.h"
#include "single_op/single_op_model.h"
#include "single_op/task/tbe_task_builder.h"
#include "single_op/task/rts_kernel_task_builder.h"
#include "single_op/task/op_task.h"
#include "framework/common/helper/model_helper.h"
#include "single_op/single_op.h"
#include "single_op/stream_resource.h"
#include "graph/passes/graph_builder_utils.h"
#undef private
#undef protected

using namespace std;
using namespace testing;
using namespace ge;

namespace {
constexpr char const *kAttrSupportDynamicShape = "support_dynamicshape";
}  // namespace

class UtestSingleOpModel : public testing::Test {
 protected:
  void SetUp() {}

  void TearDown() {}
};

//rt api stub
rtError_t rtGetTaskIdAndStreamID(uint32_t *taskId, uint32_t *streamId) {
  return RT_ERROR_NONE;
}
/*
TEST_F(UtestSingleOpModel, test_init_model) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  ASSERT_EQ(model.InitModel(), FAILED);
}

void ParseOpModelParamsMock(ModelHelper &model_helper, SingleOpModelParam &param) {}

TEST_F(UtestSingleOpModel, test_parse_input_node) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  auto op_desc = make_shared<OpDesc>("Data", "Data");

  ASSERT_EQ(model.ParseInputNode(op_desc), PARAM_INVALID);

  vector<int64_t> shape{1, 2, 3, 4};
  vector<int64_t> offsets{16};
  GeShape ge_shape(shape);
  GeTensorDesc desc(ge_shape);
  op_desc->AddOutputDesc(desc);
  op_desc->SetOutputOffset(offsets);
  ASSERT_EQ(model.ParseInputNode(op_desc), SUCCESS);

  op_desc->AddOutputDesc(desc);
  offsets.push_back(32);
  op_desc->SetOutputOffset(offsets);
  ASSERT_EQ(model.ParseInputNode(op_desc), PARAM_INVALID);
}
*/

TEST_F(UtestSingleOpModel, test_parse_output_node) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  auto op_desc = make_shared<OpDesc>("NetOutput", "NetOutput");

  vector<int64_t> shape{1, 2, 3, 4};
  vector<int64_t> offsets{16};

  GeShape ge_shape(shape);
  GeTensorDesc desc(ge_shape);
  op_desc->AddInputDesc(desc);
  op_desc->SetInputOffset(offsets);
  op_desc->AddOutputDesc(desc);
  op_desc->SetOutputOffset(offsets);

  ASSERT_NO_THROW(model.ParseOutputNode(op_desc));
  ASSERT_NO_THROW(model.ParseOutputNode(op_desc));
}

TEST_F(UtestSingleOpModel, test_set_inputs_and_outputs) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  model.input_offset_list_.push_back(0);
  model.input_sizes_.push_back(16);

  model.output_offset_list_.push_back(0);
  model.output_sizes_.push_back(16);

  std::mutex stream_mu_;
  rtStream_t stream_ = nullptr;
//  SingleOp single_op(&stream_mu_, stream_);
//
//  ASSERT_EQ(model.SetInputsAndOutputs(single_op), SUCCESS);
}
/*
TEST_F(UtestSingleOpModel, test_build_kernel_task) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  model.input_offset_list_.push_back(0);
  model.input_sizes_.push_back(16);

  model.output_offset_list_.push_back(0);
  model.output_sizes_.push_back(16);

  auto graph = make_shared<ComputeGraph>("graph");
  auto op_desc = make_shared<OpDesc>("AddN", "AddN");
  vector<int64_t> shape{16, 16};
  GeShape ge_shape(shape);
  GeTensorDesc desc(ge_shape);
  op_desc->AddInputDesc(desc);
  op_desc->AddOutputDesc(desc);
  auto node = graph->AddNode(op_desc);
  std::mutex stream_mu_;
  rtStream_t stream_ = nullptr;
  SingleOp single_op(&stream_mu_, stream_);

  domi::KernelDef kernel_def;
  kernel_def.mutable_context()->set_kernel_type(cce::ccKernelType::TE);
  TbeOpTask *task = nullptr;
  ASSERT_EQ(model.BuildKernelTask(kernel_def, &task), UNSUPPORTED);

  kernel_def.mutable_context()->set_kernel_type(cce::ccKernelType::TE);
  ASSERT_EQ(model.BuildKernelTask(kernel_def, &task), INTERNAL_ERROR);

  model.op_list_[0] = node;

  ASSERT_EQ(model.BuildKernelTask(kernel_def, &task), PARAM_INVALID);
  ASSERT_EQ(task, nullptr);
  delete task;
}

TEST_F(UtestSingleOpModel, test_init) {
  string model_data_str = "123456789";
  SingleOpModel op_model("model", model_data_str.c_str(), model_data_str.size());
  ASSERT_EQ(op_model.Init(), FAILED);
}
*/
/*
TEST_F(UtestSingleOpModel, test_parse_arg_table) {
  string model_data_str = "123456789";
  SingleOpModel op_model("model", model_data_str.c_str(), model_data_str.size());

  TbeOpTask task;
  OpDescPtr op_desc;
  std::mutex stream_mu_;
  rtStream_t stream_ = nullptr;
  SingleOp op(&stream_mu_, stream_);
  op.arg_table_.resize(2);

  auto args = std::unique_ptr<uint8_t[]>(new uint8_t[sizeof(uintptr_t) * 2]);
  auto *arg_base = (uintptr_t*)args.get();
  arg_base[0] = 0x100000;
  arg_base[1] = 0x200000;
  task.SetKernelArgs(std::move(args), 16, 1, op_desc);

  op_model.model_params_.addr_mapping_[0x100000] = 1;
  op_model.ParseArgTable(&task, op);

  ASSERT_EQ(op.arg_table_[0].size(), 0);
  ASSERT_EQ(op.arg_table_[1].size(), 1);
  ASSERT_EQ(op.arg_table_[1].front(), &arg_base[0]);
}
*/
TEST_F(UtestSingleOpModel, test_op_task_get_profiler_args) {
  string name = "relu";
  string type = "relu";
  auto op_desc = std::make_shared<ge::OpDesc>(name, type);
  op_desc->SetStreamId(0);
  op_desc->SetId(0);
  TbeOpTask task;
  task.op_desc_ = op_desc;
  task.model_name_ = "resnet_50";
  task.model_id_ = 1;
  TaskDescInfo task_desc_info;
  uint32_t model_id;
  task.GetProfilingArgs(task_desc_info, model_id);

  ASSERT_EQ(task_desc_info.model_name, "resnet_50");
  ASSERT_EQ(model_id, 1);
}

TEST_F(UtestSingleOpModel, test_build_dynamic_op) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  model.netoutput_op_ = make_shared<OpDesc>("NetOutput", "NetOutput");
  model.model_helper_.model_ = ge::MakeShared<ge::GeModel>();

  // make graph
  ut::GraphBuilder builder = ut::GraphBuilder("graph");
  auto data = builder.AddNode("Data", "Data", 0, 1);
  auto transdata = builder.AddNode("Transdata", "Transdata", 1, 1);
  auto netoutput = builder.AddNode("Netoutput", "NetOutput", 1, 0);
  builder.AddDataEdge(data, 0, transdata, 0);
  builder.AddDataEdge(transdata, 0, netoutput, 0);
  auto compute_graph = builder.GetGraph();

  auto graph = GraphUtils::CreateGraphFromComputeGraph(compute_graph);
  model.model_helper_.model_->SetGraph(graph);

  auto op_desc = transdata->GetOpDesc();
  op_desc->input_name_idx_["Data"] = 0;
  const vector<string> depend_names = { "Data" };
  op_desc->SetOpInferDepends(depend_names);
  (void)AttrUtils::SetBool(op_desc, kAttrSupportDynamicShape, true);

  auto tensor = std::make_shared<GeTensor>();
  auto data_desc = data->GetOpDesc();
  auto tensor_desc = data_desc->MutableInputDesc(0);
  AttrUtils::SetTensor(tensor_desc, "_value", tensor);

  // set task_def
  auto model_task_def = make_shared<domi::ModelTaskDef>();
  domi::TaskDef *task_def = model_task_def->add_task();
  task_def->set_type(RT_MODEL_TASK_KERNEL);
  domi::KernelDef *kernel_def = task_def->mutable_kernel();
  domi::KernelContext *context = kernel_def->mutable_context();
  context->set_kernel_type(2);    // ccKernelType::TE
  model.model_helper_.model_->SetModelTaskDef(model_task_def);

  std::mutex stream_mu_;
  DynamicSingleOp dynamic_single_op(0, &stream_mu_, nullptr);
  StreamResource res((uintptr_t)1);
  model.BuildDynamicOp(res, dynamic_single_op);
}

TEST_F(UtestSingleOpModel, test_host_mem) {
  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());

  // make graph
  ut::GraphBuilder builder = ut::GraphBuilder("graph");
  auto data = builder.AddNode("Data", "Data", 0, 1);
  auto netoutput = builder.AddNode("Netoutput", "NetOutput", 1, 0);
  builder.AddDataEdge(data, 0, netoutput, 0);
  auto graph = builder.GetGraph();
  model.op_with_hostmem_[0] = data;

  std::mutex stream_mu_;
  DynamicSingleOp single_op(0, &stream_mu_, nullptr);
  ASSERT_EQ(model.SetHostMemTensor(single_op), SUCCESS);
}

TEST_F(UtestSingleOpModel, BuildTaskList) {
  ComputeGraphPtr graph = make_shared<ComputeGraph>("single_op");
  GeModelPtr ge_model = make_shared<GeModel>();
  ge_model->SetGraph(GraphUtils::CreateGraphFromComputeGraph(graph));
  shared_ptr<domi::ModelTaskDef> model_task_def = make_shared<domi::ModelTaskDef>();
  ge_model->SetModelTaskDef(model_task_def);
  NodePtr node = nullptr;
  {
    auto op_desc = std::make_shared<ge::OpDesc>("memcpy", MEMCPYASYNC);
    GeTensorDesc tensor(GeShape(), FORMAT_NCHW, DT_FLOAT);
    op_desc->AddInputDesc(tensor);
    op_desc->AddOutputDesc(tensor);
    op_desc->SetInputOffset({0});
    op_desc->SetOutputOffset({0});
    node = graph->AddNode(op_desc); 

    domi::TaskDef *task_def = model_task_def->add_task();
    task_def->set_stream_id(0);
    task_def->set_type(RT_MODEL_TASK_MEMCPY_ASYNC);
    domi::MemcpyAsyncDef *memcpy_async = task_def->mutable_memcpy_async();
    memcpy_async->set_src(0);
    memcpy_async->set_dst(0);
    memcpy_async->set_dst_max(512);
    memcpy_async->set_count(1);
    memcpy_async->set_kind(RT_MEMCPY_DEVICE_TO_DEVICE);
    memcpy_async->set_op_index(0);
  }

  string model_data_str = "123456789";
  SingleOpModel model("model", model_data_str.c_str(), model_data_str.size());
  StreamResource *res = new (std::nothrow) StreamResource(1);
  std::mutex stream_mu;
  rtStream_t stream = nullptr;
  rtStreamCreate(&stream, 0);
  SingleOp single_op(res, &stream_mu, stream);
  model.model_helper_.model_ = ge_model;
  model.op_list_.emplace(0, node);
  ASSERT_EQ(model.BuildTaskList(res, single_op), SUCCESS);
  MemcpyAsyncTask mem_task;
  ASSERT_EQ(mem_task.LaunchKernel(0), SUCCESS);
}