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- /**
- * 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 "hybrid/executor/node_state.h"
- #include <chrono>
- #include "framework/common/debug/log.h"
- #include "graph/compute_graph.h"
- #include "graph/utils/tensor_utils.h"
- #include "hybrid_execution_context.h"
- #include "subgraph_context.h"
-
- namespace ge {
- namespace hybrid {
- namespace {
- // 5s * 120, wait for 10m
- constexpr auto kWaitInternal = 5;
- constexpr auto kMaxWaitTimes = 120;
- }
- ShapeInferenceState::ShapeInferenceState(const NodeItem &node_item) : node_item(node_item) {
- this->num_pending_shapes_ = node_item.num_inputs - node_item.num_static_input_shapes;
- GELOGD("[%s] ShapeInferenceState created, pending shape count = %d",
- node_item.NodeName().c_str(),
- this->num_pending_shapes_);
-
- for (int i = 0; i < node_item.num_inputs; ++i){
- input_tensor_desc.emplace_back(*node_item.MutableInputDesc(i));
- }
-
- for (int i = 0; i < node_item.num_outputs; ++i){
- output_tensor_desc.emplace_back(*node_item.MutableOutputDesc(i));
- }
- }
-
- Status ShapeInferenceState::CheckInputShapeByShapeRange(const GeTensorDesc &tensor_desc,
- const GeTensorDesc &target_tensor_desc) const {
- std::vector<std::pair<int64_t, int64_t>> shape_range;
- if (tensor_desc.GetShapeRange(shape_range) != SUCCESS) {
- GELOGE(PARAM_INVALID, "Get shape range failed.");
- return PARAM_INVALID;
- }
- if (shape_range.empty()) {
- GELOGD("Shape range is empty, no need to check input shape.");
- return SUCCESS;
- }
-
- GeShape target_shape = target_tensor_desc.GetShape();
- if (TensorUtils::CheckShapeByShapeRange(target_shape, shape_range) != SUCCESS) {
- GELOGE(PARAM_INVALID, "Check shape by shape range failed.");
- return PARAM_INVALID;
- }
-
- return SUCCESS;
- }
-
- Status ShapeInferenceState::UpdateInputShape(int idx, const GeTensorDesc &target) {
- if (node_item.IsInputShapeStatic(idx)) {
- GELOGD("[%s] Trying to update static shape, idx = %d. old shape = [%s], new shape = [%s]",
- node_item.NodeName().c_str(),
- idx,
- node_item.MutableInputDesc(idx)->GetShape().ToString().c_str(),
- target.GetShape().ToString().c_str());
- return SUCCESS;
- }
-
- std::lock_guard<std::mutex> lk(mu_);
- auto &input_desc = input_tensor_desc[idx];
- GeShape shape = target.GetShape();
- input_desc.SetShape(shape);
- input_desc.SetOriginShape(target.GetOriginShape());
- int64_t tensor_size = -1;
- (void) TensorUtils::GetSize(target, tensor_size);
- if (tensor_size <= 0) {
- Format format = input_desc.GetFormat();
- DataType data_type = input_desc.GetDataType();
- if (TensorUtils::CalcTensorMemSize(shape, format, data_type, tensor_size) != GRAPH_SUCCESS) {
- GELOGE(FAILED, "[%s] Calculate tensor memory size failed.", node_item.NodeName().c_str());
- return FAILED;
- }
- }
- GELOGD("[%s] Update input shape [%d] with Shape: [%s] and OriginalShape: [%s], size = %ld",
- node_item.NodeName().c_str(),
- idx,
- shape.ToString().c_str(),
- target.GetOriginShape().ToString().c_str(),
- tensor_size);
- (void) TensorUtils::SetSize(input_desc, tensor_size);
- if (--num_pending_shapes_ <= 0) {
- ready_cv_.notify_all();
- }
-
- return SUCCESS;
- }
-
- void ShapeInferenceState::UpdateInputShapeFuture(int idx, ShapeFuture &&future) {
- if (node_item.IsInputShapeStatic(idx)) {
- GELOGD("[%s] Trying to update constant shape, idx = %d", node_item.NodeName().c_str(), idx);
- return;
- }
-
- GELOGD("[%s] Update input shape [%d] with ShapeFuture.", node_item.NodeName().c_str(), idx);
- std::lock_guard<std::mutex> lk(mu_);
- shape_futures.emplace_back(idx, std::move(future));
- if (--num_pending_shapes_ == 0) {
- ready_cv_.notify_all();
- }
- }
-
- Status ShapeInferenceState::AwaitShapesReady(const GraphExecutionContext &context) {
- if (!node_item.is_dynamic) {
- return SUCCESS;
- }
- std::unique_lock<std::mutex> lk(mu_);
- if (num_pending_shapes_ > 0) {
- GELOGD("[%s] Await pending shape or shape future start.", node_item.NodeName().c_str());
- int try_count = 0;
- bool wait_success = false;
- while (try_count++ < kMaxWaitTimes) {
- if (ready_cv_.wait_for(lk, std::chrono::seconds(kWaitInternal), [&]() { return num_pending_shapes_ == 0; })) {
- GELOGD("[%s] Await pending shape or shape future end.", node_item.NodeName().c_str());
- wait_success = true;
- 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;
- }
- }
-
- if (!wait_success) {
- GELOGE(FAILED, "[%s] Wait for shape timeout.", node_item.NodeName().c_str());
- return FAILED;
- }
- }
-
- for (size_t i = 0; i < input_tensor_desc.size(); ++i) {
- auto dst_tensor_desc = node_item.op_desc->MutableInputDesc(i);
- if (dst_tensor_desc == nullptr) {
- continue;
- }
-
- auto &tensor_desc = input_tensor_desc[i];
- int64_t tensor_size = -1;
- (void) TensorUtils::GetSize(tensor_desc, tensor_size);
-
- dst_tensor_desc->SetShape(tensor_desc.MutableShape());
- dst_tensor_desc->SetOriginShape(tensor_desc.GetOriginShape());
- (void) TensorUtils::SetSize(*dst_tensor_desc, tensor_size);
- }
-
- for (auto &p : shape_futures) {
- auto idx = p.first;
- auto &future = p.second;
- RECORD_SHAPE_INFERENCE_EVENT(&context, node_item.NodeName().c_str(), "[AwaitShape] [idx = %u] Start", idx);
- const GeTensorDesc* src_tensor_desc = nullptr;
- 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);
-
- auto input_desc = node_item.MutableInputDesc(idx);
- GE_CHECK_NOTNULL(input_desc);
- int64_t tensor_size = -1;
- (void) TensorUtils::GetSize(*src_tensor_desc, tensor_size);
- GELOGD("[%s] Update input shape [%u] with shape: [%s] and ori_shape: [%s], index = %zu",
- node_item.NodeName().c_str(),
- idx,
- src_tensor_desc->GetShape().ToString().c_str(),
- src_tensor_desc->GetOriginShape().ToString().c_str(),
- tensor_size);
- input_desc->SetShape(src_tensor_desc->GetShape());
- input_desc->SetOriginShape(src_tensor_desc->GetOriginShape());
- (void) TensorUtils::SetSize(*input_desc, tensor_size);
- }
-
- return SUCCESS;
- }
-
- const vector<GeTensorDesc> &ShapeInferenceState::GetOutputTensorDesc() const {
- return output_tensor_desc;
- }
-
- Status ShapeInferenceState::UpdateOutputDesc() {
- for (size_t i = 0; i < output_tensor_desc.size(); ++i) {
- auto src_tensor_desc = node_item.MutableOutputDesc(i);
- GE_CHECK_NOTNULL(src_tensor_desc);
- auto &dst_tensor_desc = output_tensor_desc[i];
- dst_tensor_desc.SetShape(src_tensor_desc->MutableShape());
- dst_tensor_desc.SetOriginShape(src_tensor_desc->GetOriginShape());
- int64_t tensor_size = -1;
- (void) TensorUtils::GetSize(*src_tensor_desc, tensor_size);
- (void) TensorUtils::SetSize(dst_tensor_desc, tensor_size);
- }
- return SUCCESS;
- }
-
- ShapeFuture::ShapeFuture(NodeState *src_node,
- uint32_t src_index,
- SubgraphContext *subgraph_context)
- : src_node_(src_node), src_index_(src_index), subgraph_context_(subgraph_context) {
- }
-
- NodeState::NodeState(const NodeItem &node_item, SubgraphContext *subgraph_context)
- : node_item_(&node_item), shape_inference_state_(node_item), subgraph_context_(subgraph_context) {
- this->op_desc_ = node_item.node->GetOpDesc();
- }
-
- Status NodeState::AwaitInputTensors(GraphExecutionContext &context) const {
- for (auto &src_node : node_item_->dependents_for_execution) {
- GELOGD("[%s] Start to wait for data dependent node: [%s]",
- node_item_->NodeName().c_str(),
- src_node->GetName().c_str());
- RECORD_EXECUTION_EVENT(&context,
- node_item_->NodeName().c_str(),
- "[AwaitNodeDone] [%s] Start",
- src_node->GetName().c_str());
-
- 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(),
- "[AwaitNodeDone] [%s] End",
- src_node->GetName().c_str());
- GELOGD("[%s] Done waiting node.", src_node->GetName().c_str());
- }
-
- return SUCCESS;
- }
-
- Status NodeState::WaitForPrepareDone() {
- if (prepare_future_.valid()) {
- GELOGD("[%s] Start to wait for prepare future.", GetName().c_str());
- GE_CHK_STATUS_RET(prepare_future_.get(),
- "[%s] PreRun failed.", GetName().c_str());
- }
-
- return SUCCESS;
- }
- Status NodeState::UpdateOutputShapes(int index, const GeShape &shape, const GeShape &ori_shape) {
- auto self_tensor_desc = op_desc_->MutableOutputDesc(index);
- GE_CHECK_NOTNULL(self_tensor_desc);
- self_tensor_desc->SetShape(shape);
- self_tensor_desc->SetOriginShape(ori_shape);
- return SUCCESS;
- }
-
- void NodeState::SetTaskContext(std::shared_ptr<TaskContext> &task_context) {
- task_context_ = task_context;
- }
-
- std::shared_ptr<TaskContext> NodeState::GetTaskContext() {
- return task_context_;
- }
-
- Status ShapeFuture::Get(GeShape &ori_shape, GeShape &shape) {
- GELOGD("Start to wait node: %s for getting shape", src_node_->GetName().c_str());
- HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node_->GetNodeItem()->node), "cancelled");
- auto &output_desc = src_node_->GetShapeInferenceState().GetOutputTensorDesc().at(src_index_);
- shape = output_desc.GetShape();
- ori_shape = output_desc.GetOriginShape();
- GELOGD("Get shape from %s:%u. shape = [%s]", src_node_->GetName().c_str(), src_index_, shape.ToString().c_str());
- return SUCCESS;
- }
-
- Status ShapeFuture::GetTensorDesc(const GeTensorDesc **tensor_desc) {
- GE_CHECK_NOTNULL(tensor_desc);
- GELOGD("Start to wait node: %s for getting shape", src_node_->GetName().c_str());
- HYBRID_CHK_STATUS_RET(subgraph_context_->Await(src_node_->GetNodeItem()->node), "cancelled");
- *tensor_desc = &src_node_->GetShapeInferenceState().GetOutputTensorDesc().at(src_index_);
- return SUCCESS;
- }
- } // namespace hybrid
- } // namespace ge
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