From: @xchu42 Reviewed-by: @ji_chen Signed-off-by:tags/v1.2.0
@@ -18,6 +18,12 @@ | |||
namespace ge { | |||
namespace hybrid { | |||
namespace { | |||
const uint32_t kEndOfSequence = 0x0704000a; | |||
const uint32_t kEndOfSequenceNew = 507005; | |||
const int32_t kModelAbortNormal = 0x0704000e; | |||
const int32_t kModelAbortNormalNew = 507024; | |||
} // namespace | |||
void GraphExecutionContext::SetErrorCode(Status error_code) { | |||
std::lock_guard<std::mutex> lk(mu); | |||
this->status = error_code; | |||
@@ -27,5 +33,26 @@ Status GraphExecutionContext::GetStatus() const { | |||
std::lock_guard<std::mutex> lk(mu); | |||
return this->status; | |||
} | |||
Status GraphExecutionContext::Synchronize(rtStream_t rt_stream) { | |||
auto rt_ret = rtStreamSynchronize(rt_stream); | |||
if (rt_ret == RT_ERROR_NONE) { | |||
return SUCCESS; | |||
} | |||
if (rt_ret == kEndOfSequence || rt_ret == kEndOfSequenceNew) { | |||
GELOGI("Got end of sequence"); | |||
is_eos_ = true; | |||
return END_OF_SEQUENCE; | |||
} | |||
if (rt_ret == kModelAbortNormal || rt_ret == kModelAbortNormalNew) { | |||
GELOGI("The model with multiple datasets aborts normally"); | |||
return SUCCESS; | |||
} | |||
GELOGE(RT_FAILED, "Failed to invoke rtStreamSynchronize, ret = %d", rt_ret); | |||
return RT_FAILED; | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -31,11 +31,26 @@ | |||
#include "hybrid/executor/rt_callback_manager.h" | |||
#include "hybrid/model/hybrid_model.h" | |||
// If expr is not SUCCESS, print the log and return the same value | |||
#define HYBRID_CHK_STATUS_RET(expr, ...) \ | |||
do { \ | |||
const ge::Status _status = (expr); \ | |||
if (_status != ge::SUCCESS) { \ | |||
if (_status == ge::END_OF_SEQUENCE) { \ | |||
GELOGD("Got end of sequence"); \ | |||
} else { \ | |||
GELOGE(_status, __VA_ARGS__); \ | |||
} \ | |||
return _status; \ | |||
} \ | |||
} while (0) | |||
namespace ge { | |||
namespace hybrid { | |||
struct GraphExecutionContext { | |||
void SetErrorCode(Status error_code); | |||
Status GetStatus() const; | |||
Status Synchronize(rtStream_t rt_stream); | |||
uint64_t session_id = 0; | |||
const HybridModel *model = nullptr; | |||
@@ -49,6 +64,7 @@ struct GraphExecutionContext { | |||
DumpProperties dump_properties; | |||
bool trace_enabled = false; | |||
bool dump_enabled = false; | |||
std::atomic_bool is_eos_; | |||
long profiling_level = 0; | |||
long iteration = 0; | |||
Status status = SUCCESS; | |||
@@ -24,7 +24,7 @@ | |||
namespace ge { | |||
namespace hybrid { | |||
namespace { | |||
int kDataOutputIndex = 0; | |||
const int kDataOutputIndex = 0; | |||
} | |||
HybridModelAsyncExecutor::HybridModelAsyncExecutor(HybridModel *model) | |||
: model_(model), run_flag_(false) { | |||
@@ -157,9 +157,10 @@ Status HybridModelAsyncExecutor::HandleResult(Status exec_ret, | |||
OutputData *output_data) { | |||
GELOGD("Start to handle result. model id = %u, data index = %u, execution ret = %u", model_id_, data_id, exec_ret); | |||
std::vector<ge::OutputTensorInfo> output_tensor_info_list; | |||
if (exec_ret == END_OF_SEQUENCE) { | |||
GELOGW("End of sequence, model id = %u", model_id_); | |||
return OnComputeDone(data_id, END_OF_SEQUENCE, output_tensor_info_list); | |||
if (args.is_eos) { | |||
GELOGI("End of sequence, model id = %u", model_id_); | |||
GE_CHK_STATUS_RET_NOLOG(OnComputeDone(data_id, END_OF_SEQUENCE, output_tensor_info_list)); | |||
return SUCCESS; | |||
} | |||
if (exec_ret != SUCCESS) { | |||
@@ -50,15 +50,18 @@ Status HybridModelExecutor::Execute(HybridModelExecutor::ExecuteArgs &args) { | |||
auto ret = ExecuteGraphInternal(executor, args); | |||
Cleanup(); | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[Cleanup] End"); | |||
GE_CHK_STATUS_RET(ret, "Failed to execute model"); | |||
GELOGD("Model executed successfully."); | |||
if (context_.profiler != nullptr) { | |||
context_.profiler->Dump(std::cout); | |||
context_.profiler->Reset(); | |||
} | |||
context_.iteration += 1; | |||
if (ret == END_OF_SEQUENCE) { | |||
args.is_eos = true; | |||
} else { | |||
GE_CHK_STATUS_RET(ret, "Failed to execute model"); | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -68,13 +71,13 @@ Status HybridModelExecutor::ExecuteGraphInternal(SubgraphExecutor &executor, | |||
GE_CHK_STATUS_RET_NOLOG(ResetExecutionContext(context_)); | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[InitContext] End"); | |||
GE_CHK_STATUS_RET(executor.ExecuteAsync(args.inputs, args.input_desc), "Failed to execute partitioned call."); | |||
HYBRID_CHK_STATUS_RET(executor.ExecuteAsync(args.inputs, args.input_desc), "Failed to execute partitioned call."); | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[ExecuteAsync] End"); | |||
GE_CHK_STATUS_RET(executor.Synchronize(), "Failed to sync root graph."); | |||
HYBRID_CHK_STATUS_RET(executor.Synchronize(), "Failed to sync root graph."); | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[Synchronize] End"); | |||
GE_CHK_STATUS_RET(executor.GetOutputs(args.outputs, args.output_desc), "Failed to get outputs"); | |||
HYBRID_CHK_STATUS_RET(executor.GetOutputs(args.outputs, args.output_desc), "Failed to get outputs"); | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[GetOutput] End"); | |||
return SUCCESS; | |||
} | |||
@@ -94,6 +97,7 @@ Status HybridModelExecutor::InitExecutionContext() { | |||
context_.stream = stream_; | |||
context_.model = model_; | |||
context_.is_eos_ = false; | |||
context_.session_id = ::ge::GetContext().SessionId(); | |||
context_.ge_context = &GetThreadLocalContext(); | |||
GELOGD("session id from model = %lu, from context = %lu", model_->GetSessionId(), context_.session_id); | |||
@@ -31,6 +31,7 @@ class HybridModelExecutor { | |||
std::vector<ConstGeTensorDescPtr> input_desc; | |||
std::vector<TensorValue> outputs; | |||
std::vector<ConstGeTensorDescPtr> output_desc; | |||
bool is_eos = false; | |||
}; | |||
HybridModelExecutor(HybridModel *model, uint32_t device_id, rtStream_t stream); | |||
@@ -98,6 +98,11 @@ Status ShapeInferenceState::AwaitShapesReady(const GraphExecutionContext &contex | |||
break; | |||
} | |||
if (context.is_eos_) { | |||
GELOGD("[%s] Await pending shape cancelled due to end of sequence", node_item.NodeName().c_str()); | |||
return END_OF_SEQUENCE; | |||
} | |||
if (context.GetStatus() != SUCCESS) { | |||
GELOGE(FAILED, "[%s] Await pending shape cancelled", node_item.NodeName().c_str()); | |||
break; | |||
@@ -114,7 +119,8 @@ Status ShapeInferenceState::AwaitShapesReady(const GraphExecutionContext &contex | |||
auto idx = p.first; | |||
auto &future = p.second; | |||
RECORD_SHAPE_INFERENCE_EVENT(&context, node_item.NodeName().c_str(), "[AwaitShape] [idx = %u] Start", idx); | |||
auto src_tensor_desc = future.GetTensorDesc(); | |||
GeTensorDescPtr src_tensor_desc; | |||
GE_CHK_STATUS_RET_NOLOG(future.GetTensorDesc(src_tensor_desc)); | |||
GE_CHECK_NOTNULL(src_tensor_desc); | |||
RECORD_SHAPE_INFERENCE_EVENT(&context, node_item.NodeName().c_str(), "[AwaitShape] [idx = %u] End", idx); | |||
@@ -156,10 +162,11 @@ Status NodeState::AwaitInputTensors(GraphExecutionContext &context) const { | |||
node_item_->NodeName().c_str(), | |||
"[AwaitNodeDone] [%s] Start", | |||
src_node->GetName().c_str()); | |||
if (!subgraph_context_->Await(src_node)) { | |||
GELOGE(INTERNAL_ERROR, "[%s] Await node [%s] failed.", GetName().c_str(), src_node->GetName().c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node), | |||
"[%s] Await node [%s] failed.", | |||
GetName().c_str(), | |||
src_node->GetName().c_str()); | |||
RECORD_EXECUTION_EVENT(&context, | |||
node_item_->NodeName().c_str(), | |||
@@ -183,24 +190,18 @@ Status NodeState::WaitForPrepareDone() { | |||
Status ShapeFuture::Get(GeShape &ori_shape, GeShape &shape) { | |||
GELOGD("Start to wait node: %s for getting shape", src_node_->GetName().c_str()); | |||
if (!subgraph_context_->Await(src_node_)) { | |||
GELOGE(INTERNAL_ERROR, "cancelled"); | |||
return INTERNAL_ERROR; | |||
} | |||
HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node_), "cancelled"); | |||
shape = src_node_->GetOpDesc()->MutableOutputDesc(src_index_)->MutableShape(); | |||
ori_shape = src_node_->GetOpDesc()->MutableOutputDesc(src_index_)->GetOriginShape(); | |||
GELOGD("Get shape from %s:%u. shape = [%s]", src_node_->GetName().c_str(), src_index_, shape.ToString().c_str()); | |||
return SUCCESS; | |||
} | |||
GeTensorDescPtr ShapeFuture::GetTensorDesc() { | |||
Status ShapeFuture::GetTensorDesc(GeTensorDescPtr &tensor_desc) { | |||
GELOGD("Start to wait node: %s for getting shape", src_node_->GetName().c_str()); | |||
if (!subgraph_context_->Await(src_node_)) { | |||
GELOGE(INTERNAL_ERROR, "cancelled"); | |||
return nullptr; | |||
} | |||
return src_node_->GetOpDesc()->MutableOutputDesc(src_index_); | |||
HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node_), "cancelled"); | |||
tensor_desc = src_node_->GetOpDesc()->MutableOutputDesc(src_index_); | |||
return SUCCESS; | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -35,7 +35,7 @@ class ShapeFuture { | |||
ShapeFuture(NodePtr src_node, uint32_t src_index, SubgraphContext *subgraph_context); | |||
~ShapeFuture() = default; | |||
Status Get(GeShape &ori_shape, GeShape &shape); | |||
GeTensorDescPtr GetTensorDesc(); | |||
Status GetTensorDesc(GeTensorDescPtr &tensor_desc); | |||
private: | |||
NodePtr src_node_; | |||
@@ -17,11 +17,12 @@ | |||
#include "subgraph_context.h" | |||
#include "common/debug/log.h" | |||
#include "hybrid/executor/hybrid_model_executor.h" | |||
namespace ge { | |||
namespace hybrid { | |||
SubgraphContext::SubgraphContext(const GraphItem *graph_item) : graph_item_(graph_item) { | |||
SubgraphContext::SubgraphContext(const GraphItem *graph_item, const GraphExecutionContext *execution_context) | |||
: graph_item_(graph_item), execution_context_(execution_context) { | |||
} | |||
Status SubgraphContext::Init() { | |||
@@ -111,12 +112,22 @@ Status SubgraphContext::GetOutputs(std::vector<TensorValue> &outputs) { | |||
return SUCCESS; | |||
} | |||
bool SubgraphContext::Await(const NodePtr &node) { | |||
return node_done_manager_.Await(node); | |||
Status SubgraphContext::Await(const NodePtr &node) { | |||
if (node_done_manager_.Await(node)) { | |||
return SUCCESS; | |||
} | |||
if (execution_context_->is_eos_) { | |||
return END_OF_SEQUENCE; | |||
} | |||
return FAILED; | |||
} | |||
void SubgraphContext::OnError(Status error) { | |||
GELOGE(error, "[%s] Error occurred while executing graph.", graph_item_->GetName().c_str()); | |||
if (error != END_OF_SEQUENCE) { | |||
GELOGE(error, "[%s] Error occurred while executing graph.", graph_item_->GetName().c_str()); | |||
} | |||
node_done_manager_.Destroy(); | |||
} | |||
@@ -20,6 +20,7 @@ | |||
#include <vector> | |||
#include "hybrid/common/tensor_value.h" | |||
#include "hybrid/executor/hybrid_execution_context.h" | |||
#include "hybrid/executor/node_state.h" | |||
#include "hybrid/executor/node_done_manager.h" | |||
#include "hybrid/model/graph_item.h" | |||
@@ -29,7 +30,7 @@ namespace ge { | |||
namespace hybrid { | |||
class SubgraphContext { | |||
public: | |||
explicit SubgraphContext(const GraphItem *graph_item); | |||
explicit SubgraphContext(const GraphItem *graph_item, const GraphExecutionContext *execution_context); | |||
~SubgraphContext() = default; | |||
Status Init(); | |||
@@ -43,12 +44,13 @@ class SubgraphContext { | |||
Status GetInput(int index, TensorValue &tensor); | |||
Status GetOutputs(std::vector<TensorValue> &outputs); | |||
bool Await(const NodePtr &node); | |||
Status Await(const NodePtr &node); | |||
void NodeDone(const NodePtr &node); | |||
private: | |||
friend class TaskContext; | |||
const GraphItem *graph_item_; | |||
const GraphExecutionContext *execution_context_; | |||
std::mutex mu_; | |||
std::vector<TensorValue> all_inputs_; | |||
std::vector<TensorValue> all_outputs_; | |||
@@ -40,7 +40,7 @@ SubgraphExecutor::~SubgraphExecutor() { | |||
Status SubgraphExecutor::Init(const std::vector<TensorValue> &inputs, | |||
const std::vector<ConstGeTensorDescPtr> &input_desc) { | |||
subgraph_context_.reset(new(std::nothrow)SubgraphContext(graph_item_)); | |||
subgraph_context_.reset(new(std::nothrow)SubgraphContext(graph_item_, context_)); | |||
GE_CHECK_NOTNULL(subgraph_context_); | |||
GE_CHK_STATUS_RET(subgraph_context_->Init(), "[%s] Failed to init subgraph context.", graph_item_->GetName().c_str()); | |||
@@ -139,7 +139,7 @@ Status SubgraphExecutor::ExecuteAsync(const std::vector<TensorValue> &inputs, | |||
return ExecuteAsyncForKnownShape(inputs); | |||
} | |||
GE_CHK_STATUS_RET(ScheduleTasks(), "[%s] Failed to execute tasks.", graph_item_->GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(ScheduleTasks(), "[%s] Failed to execute tasks.", graph_item_->GetName().c_str()); | |||
GELOGD("[%s] Done executing subgraph successfully.", graph_item_->GetName().c_str()); | |||
return SUCCESS; | |||
} | |||
@@ -163,10 +163,10 @@ Status SubgraphExecutor::ExecuteAsyncForKnownShape(const std::vector<TensorValue | |||
known_shape_task_context_ = TaskContext::Create(*node_item, context_, subgraph_context_.get()); | |||
GE_CHECK_NOTNULL(known_shape_task_context_); | |||
GE_CHK_STATUS_RET(ExecutionEngine::ExecuteAsync(*node_state, known_shape_task_context_, *context_), | |||
"[%s] Failed to execute node [%s] for known subgraph.", | |||
graph_item_->GetName().c_str(), | |||
known_shape_task_context_->GetNodeName()); | |||
HYBRID_CHK_STATUS_RET(ExecutionEngine::ExecuteAsync(*node_state, known_shape_task_context_, *context_), | |||
"[%s] Failed to execute node [%s] for known subgraph.", | |||
graph_item_->GetName().c_str(), | |||
known_shape_task_context_->GetNodeName()); | |||
GELOGD("[%s] Done execute non-dynamic subgraph successfully.", graph_item_->GetName().c_str()); | |||
return SUCCESS; | |||
@@ -211,35 +211,34 @@ Status SubgraphExecutor::PrepareNodes() { | |||
GE_CHECK_NOTNULL(node_state); | |||
auto p_node_state = node_state.get(); | |||
if (node_item.node_type == NETOUTPUT) { | |||
// Wait for all inputs become valid | |||
// after PrepareNodes returned. all output tensors and shapes are valid | |||
GE_CHK_STATUS_RET_NOLOG(p_node_state->GetShapeInferenceState().AwaitShapesReady(*context_)); | |||
GE_CHK_STATUS_RET_NOLOG(p_node_state->AwaitInputTensors(*context_)); | |||
continue; | |||
} | |||
if (node_item.node_type != NETOUTPUT) { | |||
// only do shape inference and compilation for nodes with dynamic shapes. | |||
if (node_item.is_dynamic) { | |||
auto prepare_future = pre_run_pool_.commit([this, p_node_state]() -> Status { | |||
GetContext().SetSessionId(context_->session_id); | |||
GE_CHK_STATUS_RET_NOLOG(InferShape(shape_inference_engine_.get(), *p_node_state)); | |||
return PrepareForExecution(context_, *p_node_state); | |||
}); | |||
// only do shape inference and compilation for nodes with dynamic shapes. | |||
if (node_item.is_dynamic) { | |||
auto prepare_future = pre_run_pool_.commit([this, p_node_state]() -> Status { | |||
GetContext().SetSessionId(context_->session_id); | |||
GE_CHK_STATUS_RET_NOLOG(InferShape(shape_inference_engine_.get(), *p_node_state)); | |||
return PrepareForExecution(context_, *p_node_state); | |||
}); | |||
p_node_state->SetPrepareFuture(std::move(prepare_future)); | |||
} else { | |||
GELOGD("[%s] Skipping shape inference and compilation for node with static shape.", node_item.NodeName().c_str()); | |||
if (node_item.kernel_task == nullptr) { | |||
GELOGW("[%s] Node of static shape got no task.", node_item.NodeName().c_str()); | |||
GE_CHK_STATUS_RET(TaskCompileEngine::Compile(*p_node_state, context_), | |||
"[%s] Failed to create task.", p_node_state->GetName().c_str()); | |||
p_node_state->SetPrepareFuture(std::move(prepare_future)); | |||
} else { | |||
node_state->SetKernelTask(node_item.kernel_task); | |||
GELOGD("[%s] Skipping shape inference and compilation for node with static shape.", | |||
node_item.NodeName().c_str()); | |||
if (node_item.kernel_task == nullptr) { | |||
GELOGW("[%s] Node of static shape got no task.", node_item.NodeName().c_str()); | |||
GE_CHK_STATUS_RET(TaskCompileEngine::Compile(*p_node_state, context_), | |||
"[%s] Failed to create task.", p_node_state->GetName().c_str()); | |||
} else { | |||
node_state->SetKernelTask(node_item.kernel_task); | |||
} | |||
} | |||
} | |||
if (!ready_queue_.Push(p_node_state)) { | |||
if (context_->is_eos_) { | |||
GELOGD("Got end of sequence"); | |||
return SUCCESS; | |||
} | |||
GELOGE(INTERNAL_ERROR, "[%s] Error occurs while launching tasks. quit from preparing nodes.", | |||
graph_item_->GetName().c_str()); | |||
return INTERNAL_ERROR; | |||
@@ -253,10 +252,10 @@ Status SubgraphExecutor::PrepareNodes() { | |||
Status SubgraphExecutor::InferShape(ShapeInferenceEngine *shape_inference_engine, NodeState &node_state) { | |||
const auto &node_item = *node_state.GetNodeItem(); | |||
GE_CHK_STATUS_RET(shape_inference_engine->InferShape(node_state), | |||
"[%s] Failed to InferShape.", node_state.GetName().c_str()); | |||
GE_CHK_STATUS_RET(shape_inference_engine->PropagateOutputShapes(node_item), | |||
"[%s] Failed to PropagateOutputShapes.", node_state.GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(shape_inference_engine->InferShape(node_state), | |||
"[%s] Failed to InferShape.", node_state.GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(shape_inference_engine->PropagateOutputShapes(node_item), | |||
"[%s] Failed to PropagateOutputShapes.", node_state.GetName().c_str()); | |||
return SUCCESS; | |||
} | |||
@@ -284,6 +283,15 @@ Status SubgraphExecutor::LaunchTasks() { | |||
return SUCCESS; | |||
} | |||
if (node_state->GetType() == NETOUTPUT) { | |||
// Wait for all inputs become valid | |||
// after PrepareNodes returned. all output tensors and shapes are valid | |||
GE_CHK_STATUS_RET_NOLOG(node_state->GetShapeInferenceState().AwaitShapesReady(*context_)); | |||
GE_CHK_STATUS_RET_NOLOG(node_state->AwaitInputTensors(*context_)); | |||
GELOGD("[%s] Done executing node successfully.", node_state->GetName().c_str()); | |||
continue; | |||
} | |||
GE_CHK_STATUS_RET_NOLOG(node_state->WaitForPrepareDone()); | |||
GELOGD("[%s] Start to execute.", node_state->GetName().c_str()); | |||
@@ -291,10 +299,9 @@ Status SubgraphExecutor::LaunchTasks() { | |||
GE_CHECK_NOTNULL(task_context); | |||
task_context->SetForceInferShape(force_infer_shape_); | |||
auto shared_task_context = std::shared_ptr<TaskContext>(task_context.release()); | |||
GE_CHK_STATUS_RET(ExecutionEngine::ExecuteAsync(*node_state, shared_task_context, *context_), | |||
"[%s] Execute node failed.", | |||
node_state->GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(ExecutionEngine::ExecuteAsync(*node_state, shared_task_context, *context_), | |||
"[%s] Execute node failed.", | |||
node_state->GetName().c_str()); | |||
GELOGD("[%s] Done executing node successfully.", node_state->GetName().c_str()); | |||
} | |||
} | |||
@@ -311,7 +318,6 @@ Status SubgraphExecutor::ScheduleTasks() { | |||
GELOGD("[%s] Start to execute subgraph.", graph_item_->GetName().c_str()); | |||
auto ret = LaunchTasks(); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "[%s] Failed to execute subgraph.", graph_item_->GetName().c_str()); | |||
subgraph_context_->OnError(ret); | |||
context_->SetErrorCode(ret); | |||
ready_queue_.Stop(); | |||
@@ -350,7 +356,7 @@ Status SubgraphExecutor::GetOutputs(vector<TensorValue> &outputs, std::vector<Co | |||
Status SubgraphExecutor::Synchronize() { | |||
GELOGD("[%s] Synchronize start.", graph_item_->GetName().c_str()); | |||
GE_CHK_RT_RET(rtStreamSynchronize(context_->stream)); | |||
GE_CHK_STATUS_RET_NOLOG(context_->Synchronize(context_->stream)); | |||
GELOGD("[%s] Done synchronizing successfully.", graph_item_->GetName().c_str()); | |||
return SUCCESS; | |||
} | |||
@@ -408,9 +408,9 @@ Status ExecutionEngine::DoExecuteAsync(NodeState &node_state, | |||
// Wait for dependent nodes(DEPEND_COMPUTE), so that the input tensors are valid. | |||
RECORD_EXECUTION_EVENT(&context, task_context.GetNodeName(), "[AwaitDependents] Start"); | |||
GE_CHK_STATUS_RET(node_state.AwaitInputTensors(context), | |||
"[%s] Failed to wait for dependent nodes.", | |||
node_state.GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(node_state.AwaitInputTensors(context), | |||
"[%s] Failed to wait for dependent nodes.", | |||
node_state.GetName().c_str()); | |||
const auto &node_item = *node_state.GetNodeItem(); | |||
auto executor = node_item.node_executor; | |||
@@ -440,9 +440,9 @@ Status ExecutionEngine::DoExecuteAsync(NodeState &node_state, | |||
}); | |||
} | |||
RECORD_EXECUTION_EVENT(&context, task_context.GetNodeName(), "[ExecuteTask] Start"); | |||
GE_CHK_STATUS_RET(node_item.node_executor->ExecuteTask(*task, task_context, callback), | |||
"[%s] Failed to execute task", | |||
node_state.GetName().c_str()); | |||
HYBRID_CHK_STATUS_RET(node_item.node_executor->ExecuteTask(*task, task_context, callback), | |||
"[%s] Failed to execute task", | |||
node_state.GetName().c_str()); | |||
RECORD_EXECUTION_EVENT(&context, task_context.GetNodeName(), "[ExecuteTask] End"); | |||
GELOGD("[%s] Done task launch successfully.", node_state.GetName().c_str()); | |||
@@ -99,11 +99,7 @@ Status ShapeInferenceEngine::AwaitDependentNodes(NodeState &node_state) { | |||
node_item.NodeName().c_str(), | |||
"[AwaitNodeDone] [%s] Start", | |||
src_node->GetName().c_str()); | |||
if (!subgraph_context_->Await(src_node)) { | |||
GELOGE(INTERNAL_ERROR, "[%s] Await node failed.", src_node->GetName().c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node), "[%s] Await node failed.", src_node->GetName().c_str()); | |||
RECORD_SHAPE_INFERENCE_EVENT(execution_context_, | |||
node_item.NodeName().c_str(), | |||
"[AwaitNodeDone] [%s] End", | |||
@@ -19,6 +19,7 @@ | |||
#include "common/formats/formats.h" | |||
#include "aicpu/common/aicpu_task_struct.h" | |||
#include "graph/load/new_model_manager/model_manager.h" | |||
#include "graph/utils/node_utils.h" | |||
#include "hybrid/executor/hybrid_execution_context.h" | |||
#include "hybrid/model/hybrid_model.h" | |||
#include "opskernel_manager/ops_kernel_builder_manager.h" | |||
@@ -187,7 +188,7 @@ Status AicpuNodeTaskBase::ExecuteAsync(TaskContext &context, std::function<void( | |||
RECORD_EXECUTION_EVENT(context.GetExecutionContext(), context.GetNodeName(), "[AicpuNodeTaskBaseExecuteAsync] Start"); | |||
GELOGD("Node[%s] execute async start. unknown_type=%d.", node_name_.c_str(), unknown_type_); | |||
GE_CHK_STATUS_RET(LaunchTask(context)); | |||
HYBRID_CHK_STATUS_RET(LaunchTask(context), "[%s] Failed to launch task", node_name_.c_str()); | |||
uint32_t task_id = 0; | |||
uint32_t stream_id = 0; | |||
@@ -346,7 +347,11 @@ Status AicpuTfNodeTask::Init(const HybridModel &model) { | |||
GE_CHK_RT_RET(rtMemcpy(kernel_buf_->GetData(), sizeof(STR_FWK_OP_KERNEL), | |||
&fwk_op_kernel, sizeof(STR_FWK_OP_KERNEL), | |||
RT_MEMCPY_HOST_TO_DEVICE)); | |||
auto node_type = NodeUtils::GetNodeType(node_item_->node); | |||
if (node_type.find(GETNEXT) != string::npos) { | |||
GELOGD("[%s] Is GetNext, set need sync to true, node type = %s", node_name_.c_str(), node_type.c_str()); | |||
need_sync_ = true; | |||
} | |||
GELOGI("Node[%s] init end.", node_name_.c_str()); | |||
return SUCCESS; | |||
} | |||
@@ -616,6 +621,10 @@ Status AicpuTfNodeTask::LaunchTask(TaskContext &context) { | |||
GE_CHK_RT_RET(rtKernelLaunchEx(kernel_buf_->GetData(), kernel_buf_->GetSize(), flag, context.GetStream())); | |||
RECORD_EXECUTION_EVENT(context.GetExecutionContext(), node_name_.c_str(), "[AicpuTfNodertKernelLaunchEx] End"); | |||
GELOGD("Node[%s] launch end.", node_name_.c_str()); | |||
if (need_sync_) { | |||
GELOGD("[%s] Task needs sync", node_name_.c_str()); | |||
GE_CHK_STATUS_RET_NOLOG(context.Synchronize()); | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -144,6 +144,7 @@ class AicpuTfNodeTask : public AicpuNodeTaskBase { | |||
std::unique_ptr<TensorBuffer> copy_input_data_size_dev_; | |||
std::unique_ptr<TensorBuffer> copy_input_src_dev_; | |||
std::unique_ptr<TensorBuffer> copy_input_dst_dev_; | |||
bool need_sync_ = false; | |||
}; | |||
class AicpuNodeTask : public AicpuNodeTaskBase { | |||
@@ -20,6 +20,7 @@ | |||
#include "graph/utils/node_utils.h" | |||
#include "init/gelib.h" | |||
#include "graph/utils/tensor_utils.h" | |||
#include "hybrid/executor/hybrid_execution_context.h" | |||
#include "hybrid/model/hybrid_model.h" | |||
#include "graph/debug/ge_attr_define.h" | |||
#include "opskernel_manager/ops_kernel_builder_manager.h" | |||
@@ -44,9 +45,9 @@ Status NodeExecutor::PrepareTask(NodeTask &task, TaskContext &context) const { | |||
} | |||
Status NodeExecutor::ExecuteTask(NodeTask &task, TaskContext &context, const std::function<void()> &callback) const { | |||
GE_CHK_STATUS_RET(task.ExecuteAsync(context, callback), | |||
"Failed to execute task. node = %s", | |||
context.GetNodeItem().NodeName().c_str()); | |||
HYBRID_CHK_STATUS_RET(task.ExecuteAsync(context, callback), | |||
"Failed to execute task. node = %s", | |||
context.GetNodeItem().NodeName().c_str()); | |||
return SUCCESS; | |||
} | |||
@@ -494,5 +494,9 @@ const DumpProperties &TaskContext::GetDumpProperties() const { | |||
bool TaskContext::NeedCallback() { | |||
return node_item_->has_observer || IsDumpEnabled() || execution_context_->profiling_level > 0; | |||
} | |||
Status TaskContext::Synchronize() { | |||
return execution_context_->Synchronize(GetStream()); | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -102,6 +102,8 @@ class TaskContext { | |||
uint32_t GetStreamId() const; | |||
void SetStreamId(uint32_t stream_id); | |||
Status Synchronize(); | |||
bool IsForceInferShape() const; | |||
void SetForceInferShape(bool force_infer_shape); | |||
void *handle_ = nullptr; | |||