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mindspore2022/mindspore/ccsrc/runtime/device/kernel_adjust.cc

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/**
* Copyright 2020-2021 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 "runtime/device/kernel_adjust.h"
#include <map>
#include <algorithm>
#include <string>
#include <vector>
#include <utility>
#include "backend/session/anf_runtime_algorithm.h"
#include "utils/ms_context.h"
#include "common/trans.h"
#include "utils/config_manager.h"
#include "utils/ms_utils.h"
#include "backend/kernel_compiler/kernel_build_info.h"
#include "utils/utils.h"
#include "runtime/device/ascend/profiling/profiling_manager.h"
#include "runtime/base.h"
#include "runtime/device/ascend/ascend_stream_manager.h"
#include "utils/shape_utils.h"
namespace {
constexpr auto kGradients = "Gradients";
constexpr auto kSpecifyParameter = "accu_status";
size_t kNPUShape = 8;
constexpr size_t kLastHandleDiff = 2;
} // namespace
namespace mindspore {
namespace device {
#ifndef ENABLE_SECURITY
using device::ascend::ProfilingUtils;
#endif
void KernelAdjust::ReorderGetNext(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
const std::vector<CNodePtr> &origin_cnode_list = kernel_graph_ptr->execution_order();
std::vector<CNodePtr> getnext_list;
std::vector<CNodePtr> other_list;
for (const auto &cnode : origin_cnode_list) {
if (AnfAlgo::GetCNodeName(cnode) == kGetNextOpName) {
getnext_list.emplace_back(cnode);
} else {
other_list.emplace_back(cnode);
}
}
std::vector<CNodePtr> new_order_list;
new_order_list.insert(new_order_list.end(), getnext_list.begin(), getnext_list.end());
new_order_list.insert(new_order_list.end(), other_list.begin(), other_list.end());
kernel_graph_ptr->set_execution_order(new_order_list);
}
bool KernelAdjust::NeedLoopSink() {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
return (context_ptr->get_param<bool>(MS_CTX_ENABLE_TASK_SINK) &&
context_ptr->get_param<bool>(MS_CTX_ENABLE_LOOP_SINK) && ConfigManager::GetInstance().iter_num() > 1);
}
CNodePtr KernelAdjust::CreateSendApplyKernel(const std::shared_ptr<session::KernelGraph> &graph_ptr,
uint32_t event_id) {
MS_EXCEPTION_IF_NULL(graph_ptr);
auto send_op = std::make_shared<Primitive>(kSendOpName);
MS_EXCEPTION_IF_NULL(send_op);
auto send_apply = std::make_shared<ValueNode>(send_op);
MS_EXCEPTION_IF_NULL(send_apply);
std::vector<AnfNodePtr> send_input_list = {send_apply};
CNodePtr send_node_ptr = graph_ptr->NewCNode(send_input_list);
MS_EXCEPTION_IF_NULL(send_node_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), send_node_ptr.get());
AnfAlgo::SetNodeAttr(kAttrEventId, MakeValue(event_id), send_node_ptr);
auto abstract_none = std::make_shared<abstract::AbstractNone>();
MS_EXCEPTION_IF_NULL(abstract_none);
send_node_ptr->set_abstract(abstract_none);
return send_node_ptr;
}
CNodePtr KernelAdjust::CreateRecvApplyKernel(const std::shared_ptr<session::KernelGraph> &graph_ptr,
uint32_t event_id) {
MS_EXCEPTION_IF_NULL(graph_ptr);
auto recv_op = std::make_shared<Primitive>(kRecvOpName);
MS_EXCEPTION_IF_NULL(recv_op);
auto recv_apply = std::make_shared<ValueNode>(recv_op);
MS_EXCEPTION_IF_NULL(recv_apply);
std::vector<AnfNodePtr> recv_input_list = {recv_apply};
CNodePtr recv_node_ptr = graph_ptr->NewCNode(recv_input_list);
MS_EXCEPTION_IF_NULL(recv_node_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), recv_node_ptr.get());
AnfAlgo::SetNodeAttr(kAttrEventId, MakeValue(event_id), recv_node_ptr);
auto abstract_none = std::make_shared<abstract::AbstractNone>();
MS_EXCEPTION_IF_NULL(abstract_none);
recv_node_ptr->set_abstract(abstract_none);
return recv_node_ptr;
}
bool KernelAdjust::ExistGetNext(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
const std::vector<CNodePtr> &cnode_list = kernel_graph_ptr->execution_order();
for (const auto &cnode : cnode_list) {
if (AnfAlgo::GetCNodeName(cnode) == kGetNextOpName) {
return true;
}
}
return false;
}
bool KernelAdjust::ExistIndependent(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
const auto &exe_orders = kernel_graph_ptr->execution_order();
for (const auto &node : exe_orders) {
if (AnfAlgo::IsIndependentNode(node) && AnfAlgo::GetGraphId(node.get()) == kernel_graph_ptr->graph_id()) {
MS_LOG(INFO) << "graph exit independent node";
return true;
}
}
return false;
}
void KernelAdjust::InsertIndepentParallel(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
std::vector<CNodePtr> *exec_order) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
CNodePtr independent_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kIndependentStreamSwitch);
MS_EXCEPTION_IF_NULL(independent_switch_app);
uint32_t independent_switch_stream_id = resource_manager.ApplyNewStream();
AnfAlgo::SetStreamId(independent_switch_stream_id, independent_switch_app.get());
AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), independent_switch_app);
AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kIndependentStreamSwitch), independent_switch_app);
(*exec_order).push_back(independent_switch_app);
MS_LOG(INFO) << "Independent op loop insert Stream Switch " << independent_switch_app->fullname_with_scope();
}
void KernelAdjust::InsertFpBpLoopStreamSwitch(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
std::vector<CNodePtr> *exec_order, uint32_t *fpbp_stream_id,
uint32_t *fpbp_switch_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(fpbp_stream_id);
MS_EXCEPTION_IF_NULL(fpbp_switch_stream_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*fpbp_switch_stream_id = resource_manager.ApplyNewStream();
*fpbp_stream_id = resource_manager.ApplyNewStream();
CNodePtr fpbp_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kFpBpStreamSwitch);
MS_EXCEPTION_IF_NULL(fpbp_switch_app);
AnfAlgo::SetStreamId(*fpbp_switch_stream_id, fpbp_switch_app.get());
AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), fpbp_switch_app);
// update fpbp loop stream switch true_branch_stream attr
AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(*fpbp_stream_id), fpbp_switch_app);
AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kFpBpStreamSwitch), fpbp_switch_app);
(*exec_order).push_back(fpbp_switch_app);
MS_LOG(INFO) << "FpBp loop insert Stream Switch " << fpbp_switch_app->fullname_with_scope();
}
void KernelAdjust::CopyMemcpyList(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::vector<CNodePtr> &orders, size_t order_index,
std::vector<CNodePtr> *memcpy_list, std::vector<CNodePtr> *other_list) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(memcpy_list);
MS_EXCEPTION_IF_NULL(other_list);
CNodePtr cur_cnode = nullptr;
for (size_t idx = order_index + 1; idx < orders.size(); idx++) {
cur_cnode = orders[idx];
if (AnfAlgo::HasNodeAttr(kAttrLabelForInsertStreamActive, cur_cnode)) {
auto pre_node = orders[idx - 1];
auto pre_kernel_name = AnfAlgo::GetCNodeName(pre_node);
if (pre_kernel_name == kAtomicAddrCleanOpName) {
(*other_list).pop_back();
(*memcpy_list).push_back(pre_node);
}
(*memcpy_list).emplace_back(cur_cnode);
} else {
(*other_list).emplace_back(cur_cnode);
}
}
}
void KernelAdjust::InsertEosDoneRecv(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t eos_done_event_id,
uint32_t fpbp_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr eos_done_recv = CreateRecvApplyKernel(kernel_graph_ptr, eos_done_event_id);
AnfAlgo::SetStreamId(fpbp_stream_id, eos_done_recv.get());
(*exec_order).push_back(eos_done_recv);
MS_LOG(INFO) << "FpBp loop insert EoS done Recv " << eos_done_recv->fullname_with_scope();
}
void KernelAdjust::InsertGetNextLoopStreamActive(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order,
const std::vector<uint32_t> &getnext_active_streams) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr getnext_active_app = CreateStreamActiveOp(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(getnext_active_app);
AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(getnext_active_streams),
getnext_active_app);
(*exec_order).push_back(getnext_active_app);
MS_LOG(INFO) << "FpBp loop insert GetNext loop Stream Active " << getnext_active_app->fullname_with_scope();
}
void KernelAdjust::InsertFpBpStartRecv(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t fpbp_start_event_id,
uint32_t fpbp_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr fpbp_start_recv = CreateRecvApplyKernel(kernel_graph_ptr, fpbp_start_event_id);
AnfAlgo::SetStreamId(fpbp_stream_id, fpbp_start_recv.get());
(*exec_order).push_back(fpbp_start_recv);
MS_LOG(INFO) << "FpBp loop insert FpBp start Recv " << fpbp_start_recv->fullname_with_scope();
}
void KernelAdjust::InsertNextLoopAssignAdd(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
uint32_t fpbp_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr assign_add_one = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input, false);
MS_EXCEPTION_IF_NULL(assign_add_one);
AnfAlgo::SetStreamId(fpbp_stream_id, assign_add_one.get());
(*exec_order).push_back(assign_add_one);
MS_LOG(INFO) << "FpBp loop insert next loop AssignAdd " << assign_add_one->fullname_with_scope();
}
void KernelAdjust::InsertCurrentLoopAssignAdd(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr cur_assign_add = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input, true);
MS_EXCEPTION_IF_NULL(cur_assign_add);
AnfAlgo::SetNodeAttr(kAttrFpBpEnd, MakeValue<bool>(true), cur_assign_add);
(*exec_order).push_back(cur_assign_add);
MS_LOG(INFO) << "FpBp loop insert current loop AssignAdd " << cur_assign_add->fullname_with_scope();
}
void KernelAdjust::InsertFpBpAndEosLoopStreamActive(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order,
const std::vector<uint32_t> &fpbp_active_streams) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr fpbp_active_app = CreateStreamActiveOp(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(fpbp_active_app);
AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(fpbp_active_streams), fpbp_active_app);
(*exec_order).push_back(fpbp_active_app);
MS_LOG(INFO) << "FpBp loop insert FpBp loop and Eos loop Stream Active " << fpbp_active_app->fullname_with_scope();
}
void KernelAdjust::InsertGetNextLoopStreamSwitch(
const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, std::vector<CNodePtr> *exec_order,
uint32_t *getnext_switch_stream_id, uint32_t *getnext_stream_id,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(getnext_switch_stream_id);
MS_EXCEPTION_IF_NULL(getnext_stream_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*getnext_switch_stream_id = resource_manager.ApplyNewStream();
*getnext_stream_id = resource_manager.ApplyNewStream();
CNodePtr getnext_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kGetNextStreamSwitch);
MS_EXCEPTION_IF_NULL(getnext_switch_app);
AnfAlgo::SetStreamId(*getnext_switch_stream_id, getnext_switch_app.get());
// update getnext loop stream switch true_branch_stream attr
AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), getnext_switch_app);
AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(*getnext_stream_id), getnext_switch_app);
AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kGetNextStreamSwitch), getnext_switch_app);
(*exec_order).push_back(getnext_switch_app);
MS_LOG(INFO) << "GetNext loop insert Stream Switch " << getnext_switch_app->fullname_with_scope();
}
void KernelAdjust::SetBeforeGetNextStreamID(std::vector<CNodePtr> *exec_order, const std::vector<CNodePtr> &orders,
size_t *order_index, CNodePtr getnext_cnode, uint32_t getnext_stream_id) {
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(order_index);
for (; *order_index < orders.size(); (*order_index)++) {
auto node = orders[*order_index];
(*exec_order).push_back(node);
AnfAlgo::SetStreamId(getnext_stream_id, (*exec_order)[(*exec_order).size() - 1].get());
if (AnfAlgo::GetCNodeName(node) == kGetNextOpName) {
getnext_cnode = node;
break;
}
}
}
void KernelAdjust::InsertGetNextLoopFpBpStartSend(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t *fpbp_start_event_id,
uint32_t getnext_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(fpbp_start_event_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*fpbp_start_event_id = resource_manager.ApplyNewEvent();
CNodePtr fpbp_start_send = CreateSendApplyKernel(kernel_graph_ptr, *fpbp_start_event_id);
AnfAlgo::SetStreamId(getnext_stream_id, fpbp_start_send.get());
(*exec_order).push_back(fpbp_start_send);
MS_LOG(INFO) << "GetNext loop insert FpBp start Send " << fpbp_start_send->fullname_with_scope();
}
void KernelAdjust::InsertGetNextLoopEosStartSend(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t *eos_start_event_id,
uint32_t getnext_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(eos_start_event_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*eos_start_event_id = resource_manager.ApplyNewEvent();
CNodePtr eos_start_send = CreateSendApplyKernel(kernel_graph_ptr, *eos_start_event_id);
AnfAlgo::SetStreamId(getnext_stream_id, eos_start_send.get());
(*exec_order).push_back(eos_start_send);
MS_LOG(INFO) << "GetNext loop insert EoS start Send " << eos_start_send->fullname_with_scope();
}
void KernelAdjust::InsertEosStreamSwitch(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
std::vector<CNodePtr> *exec_order, uint32_t *eos_switch_stream_id,
uint32_t *eos_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(eos_switch_stream_id);
MS_EXCEPTION_IF_NULL(eos_stream_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*eos_switch_stream_id = resource_manager.ApplyNewStream();
*eos_stream_id = resource_manager.ApplyNewStream();
CNodePtr eos_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kEosStreamSwitch);
MS_EXCEPTION_IF_NULL(eos_switch_app);
AnfAlgo::SetStreamId(*eos_switch_stream_id, eos_switch_app.get());
AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), eos_switch_app);
// update eos loop stream switch true_branch_stream attr
AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(*eos_stream_id), eos_switch_app);
AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kEosStreamSwitch), eos_switch_app);
(*exec_order).push_back(eos_switch_app);
MS_LOG(INFO) << "EoS loop insert Stream Switch " << eos_switch_app->fullname_with_scope();
}
void KernelAdjust::InsertGetNextLoopEosStartRecv(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t eos_start_event_id,
uint32_t eos_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
CNodePtr eos_start_recv = CreateRecvApplyKernel(kernel_graph_ptr, eos_start_event_id);
AnfAlgo::SetStreamId(eos_stream_id, eos_start_recv.get());
(*exec_order).push_back(eos_start_recv);
MS_LOG(INFO) << "EoS loop insert EoS Recv " << eos_start_recv->fullname_with_scope();
}
void KernelAdjust::InsertEosOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, const CNodePtr &getnext_cnode,
uint32_t eos_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(getnext_cnode);
CNodePtr end_of_sequence_op = CreateEndOfSequenceOP(kernel_graph_ptr, getnext_cnode);
MS_EXCEPTION_IF_NULL(end_of_sequence_op);
AnfAlgo::SetStreamId(eos_stream_id, end_of_sequence_op.get());
(*exec_order).push_back(end_of_sequence_op);
MS_LOG(INFO) << "EoS loop insert Eos Op " << end_of_sequence_op->fullname_with_scope();
}
void KernelAdjust::InsertEosDoneSend(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::vector<CNodePtr> *exec_order, uint32_t *eos_done_event_id,
uint32_t eos_stream_id) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(exec_order);
MS_EXCEPTION_IF_NULL(eos_done_event_id);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
*eos_done_event_id = resource_manager.ApplyNewEvent();
CNodePtr eos_done_send = CreateSendApplyKernel(kernel_graph_ptr, *eos_done_event_id);
AnfAlgo::SetStreamId(eos_stream_id, eos_done_send.get());
(*exec_order).push_back(eos_done_send);
MS_LOG(INFO) << "EoS loop insert EoS done Send " << eos_done_send->fullname_with_scope();
}
void KernelAdjust::ProcessLoopSink(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
device::ascend::AscendStreamMng &resource_manager = device::ascend::AscendStreamMng::GetInstance();
resource_manager.ResetResource();
if (!NeedLoopSink()) {
return;
}
if (kernel_graph_ptr->is_dynamic_shape()) {
MS_LOG(INFO) << "KernelGraph:" << kernel_graph_ptr->graph_id() << " is dynamic shape, skip ProcessLoopSink";
return;
}
bool exist_getnext = ExistGetNext(kernel_graph_ptr);
bool eos_mode = ConfigManager::GetInstance().iter_num() == INT32_MAX && exist_getnext;
MS_LOG(INFO) << "GetNext exist:" << exist_getnext << " End of Sequence mode:" << eos_mode
<< " iter num:" << ConfigManager::GetInstance().iter_num();
if (exist_getnext) {
ReorderGetNext(kernel_graph_ptr);
}
auto switch_loop_input = kernel_graph_ptr->device_loop_control_params();
const std::vector<CNodePtr> &orders = kernel_graph_ptr->execution_order();
if (orders.empty()) {
MS_LOG(EXCEPTION) << "graph " << kernel_graph_ptr->graph_id() << " execution order is empty";
}
std::vector<CNodePtr> exec_order;
CNodePtr getnext_cnode;
uint32_t getnext_switch_stream_id = UINT32_MAX;
uint32_t fpbp_start_event_id = UINT32_MAX;
uint32_t eos_start_event_id = UINT32_MAX;
uint32_t getnext_stream_id = UINT32_MAX;
size_t order_index = 0;
if (exist_getnext) {
InsertGetNextLoopStreamSwitch(kernel_graph_ptr, &exec_order, &getnext_switch_stream_id, &getnext_stream_id,
switch_loop_input);
SetBeforeGetNextStreamID(&exec_order, orders, &order_index, getnext_cnode, getnext_stream_id);
InsertGetNextLoopFpBpStartSend(kernel_graph_ptr, &exec_order, &fpbp_start_event_id, getnext_stream_id);
if (eos_mode) {
InsertGetNextLoopEosStartSend(kernel_graph_ptr, &exec_order, &eos_start_event_id, getnext_stream_id);
}
}
uint32_t eos_switch_stream_id = UINT32_MAX;
uint32_t eos_stream_id = UINT32_MAX;
uint32_t eos_done_event_id = UINT32_MAX;
std::vector<uint32_t> fpbp_active_streams;
if (eos_mode) {
InsertEosStreamSwitch(kernel_graph_ptr, switch_loop_input, &exec_order, &eos_switch_stream_id, &eos_stream_id);
InsertGetNextLoopEosStartRecv(kernel_graph_ptr, &exec_order, eos_start_event_id, eos_stream_id);
InsertEosOp(kernel_graph_ptr, &exec_order, getnext_cnode, eos_stream_id);
InsertEosDoneSend(kernel_graph_ptr, &exec_order, &eos_done_event_id, eos_stream_id);
fpbp_active_streams.push_back(eos_switch_stream_id);
}
bool exist_independent = ExistIndependent(kernel_graph_ptr);
if (exist_independent) {
InsertIndepentParallel(kernel_graph_ptr, switch_loop_input, &exec_order);
}
uint32_t fpbp_stream_id = UINT32_MAX;
uint32_t fpbp_switch_stream_id = UINT32_MAX;
InsertFpBpLoopStreamSwitch(kernel_graph_ptr, switch_loop_input, &exec_order, &fpbp_stream_id, &fpbp_switch_stream_id);
if (exist_getnext) {
InsertFpBpStartRecv(kernel_graph_ptr, &exec_order, fpbp_start_event_id, fpbp_stream_id);
}
InsertNextLoopAssignAdd(kernel_graph_ptr, &exec_order, switch_loop_input, fpbp_stream_id);
std::vector<CNodePtr> memcpy_list;
std::vector<CNodePtr> other_list;
if (exist_getnext) {
CopyMemcpyList(kernel_graph_ptr, orders, order_index, &memcpy_list, &other_list);
(void)std::copy(memcpy_list.begin(), memcpy_list.end(), std::back_inserter(exec_order));
} else {
other_list = orders;
}
if (eos_mode) {
InsertEosDoneRecv(kernel_graph_ptr, &exec_order, eos_done_event_id, fpbp_stream_id);
}
std::vector<uint32_t> getnext_active_streams;
if (exist_getnext) {
// small loop active
getnext_active_streams.push_back(getnext_switch_stream_id);
InsertGetNextLoopStreamActive(kernel_graph_ptr, &exec_order, getnext_active_streams);
}
(void)std::copy(other_list.begin(), other_list.end(), std::back_inserter(exec_order));
InsertCurrentLoopAssignAdd(kernel_graph_ptr, &exec_order, switch_loop_input);
// big loop active
fpbp_active_streams.push_back(fpbp_switch_stream_id);
InsertFpBpAndEosLoopStreamActive(kernel_graph_ptr, &exec_order, fpbp_active_streams);
kernel_graph_ptr->set_execution_order(exec_order);
}
kernel::KernelBuildInfo::KernelBuildInfoBuilder KernelAdjust::CreateMngKernelBuilder(
const std::vector<std::string> &formats, const std::vector<TypeId> &type_ids) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat(formats);
selected_kernel_builder.SetInputsDeviceType(type_ids);
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
return selected_kernel_builder;
}
CNodePtr KernelAdjust::CreateStreamSwitchOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
StreamSwitchKind kind) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
auto typeNone_abstract = std::make_shared<abstract::AbstractNone>();
auto stream_switch = std::make_shared<Primitive>(kStreamSwitchOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(stream_switch));
if (kind == kFpBpStreamSwitch || kind == kEosStreamSwitch) {
inputs.push_back(switch_loop_input.at(kNextLoopCountName));
} else if (kind == kGetNextStreamSwitch || kind == kIndependentStreamSwitch) {
inputs.push_back(switch_loop_input.at(kNextLoopCountName));
} else {
MS_LOG(ERROR) << "unknown stream switch kind: " << kind;
}
inputs.push_back(switch_loop_input.at(kConstLoopNumInEpochName));
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
CNodePtr stream_switch_app = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(stream_switch_app);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), stream_switch_app.get());
stream_switch_app->set_abstract(typeNone_abstract);
// set attr: cond_ RT_LESS
int condition = static_cast<int>(RT_LESS);
ValuePtr cond = MakeValue(condition);
AnfAlgo::SetNodeAttr(kAttrSwitchCondition, cond, stream_switch_app);
// set attr:data_type
int data_type = static_cast<int>(RT_SWITCH_INT64);
ValuePtr dt = MakeValue(data_type);
AnfAlgo::SetNodeAttr(kAttrDataType, dt, stream_switch_app);
// set distinction label and graph id
return stream_switch_app;
}
CNodePtr KernelAdjust::CreateStreamActiveOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
abstract::AbstractBasePtr typeNone_abstract = std::make_shared<abstract::AbstractNone>();
auto stream_active_others = std::make_shared<Primitive>(kStreamActiveOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(stream_active_others));
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
CNodePtr stream_active_others_app = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(stream_active_others_app);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), stream_active_others_app.get());
stream_active_others_app->set_abstract(typeNone_abstract);
return stream_active_others_app;
}
CNodePtr KernelAdjust::CreatTupleGetItemNode(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const CNodePtr &node, size_t output_idx) {
auto idx = NewValueNode(SizeToLong(output_idx));
MS_EXCEPTION_IF_NULL(idx);
auto imm = std::make_shared<Int64Imm>(SizeToInt(output_idx));
auto abstract_scalar = std::make_shared<abstract::AbstractScalar>(imm);
idx->set_abstract(abstract_scalar);
CNodePtr tuple_getitem = kernel_graph_ptr->NewCNode({NewValueNode(prim::kPrimTupleGetItem), node, idx});
MS_EXCEPTION_IF_NULL(tuple_getitem);
tuple_getitem->set_scope(node->scope());
std::vector<size_t> origin_shape = AnfAlgo::GetOutputInferShape(node, output_idx);
TypeId origin_type = AnfAlgo::GetOutputInferDataType(node, output_idx);
AnfAlgo::SetOutputInferTypeAndShape({origin_type}, {origin_shape}, tuple_getitem.get());
return tuple_getitem;
}
CNodePtr KernelAdjust::CreateEndOfSequenceOP(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const CNodePtr &getnext_cnode) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetInputsDeviceType({kNumberTypeUInt8});
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICPU);
selected_kernel_builder.SetKernelType(KernelType::AICPU_KERNEL);
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeUInt8});
// EndOfSequence
auto end_of_sequence = std::make_shared<Primitive>(kEndOfSequence);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(end_of_sequence));
// GetNext output 0 is EndOfSequence's input
auto tuple_get_item = CreatTupleGetItemNode(kernel_graph_ptr, getnext_cnode, 0);
inputs.push_back(tuple_get_item);
CNodePtr end_of_sequence_node = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(end_of_sequence_node);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), end_of_sequence_node.get());
std::vector<std::string> input_names = {"x"};
ValuePtr input_names_v = MakeValue(input_names);
AnfAlgo::SetNodeAttr("input_names", input_names_v, end_of_sequence_node);
std::vector<std::string> output_names = {"y"};
ValuePtr output_names_v = MakeValue(output_names);
AnfAlgo::SetNodeAttr("output_names", output_names_v, end_of_sequence_node);
end_of_sequence_node->set_abstract(tuple_get_item->abstract());
return end_of_sequence_node;
}
CNodePtr KernelAdjust::CreateStreamAssignAddnOP(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input,
bool cur_loop) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeInt32});
// AssignAdd
auto assign_add = std::make_shared<Primitive>(kAssignAddOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(assign_add));
if (cur_loop) {
inputs.push_back(switch_loop_input.at(kCurLoopCountName));
} else {
inputs.push_back(switch_loop_input.at(kNextLoopCountName));
}
inputs.push_back(switch_loop_input.at(kConstOneName));
CNodePtr assign_add_one = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(assign_add_one);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), assign_add_one.get());
std::vector<std::string> input_names = {"ref", "value"};
std::vector<std::string> output_names = {"output"};
ValuePtr input_names_v = MakeValue(input_names);
ValuePtr output_names_v = MakeValue(output_names);
AnfAlgo::SetNodeAttr("input_names", input_names_v, assign_add_one);
AnfAlgo::SetNodeAttr("output_names", output_names_v, assign_add_one);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
MS_EXCEPTION_IF_NULL(switch_loop_input.at(kCurLoopCountName));
assign_add_one->set_abstract(switch_loop_input.at(kCurLoopCountName)->abstract());
// add AssignAdd op to kernel ref node map
session::AnfWithOutIndex final_pair = std::make_pair(assign_add_one, 0);
session::KernelWithIndex kernel_with_index = AnfAlgo::VisitKernel(AnfAlgo::GetInputNode(assign_add_one, 0), 0);
kernel_graph_ptr->AddRefCorrespondPairs(final_pair, kernel_with_index);
return assign_add_one;
}
#ifndef ENABLE_SECURITY
void KernelAdjust::Profiling(NotNull<session::KernelGraph *> kernel_graph_ptr) {
if (!ascend::ProfilingManager::GetInstance().IsProfiling()) {
MS_LOG(INFO) << "No need to profiling";
return;
}
ProfilingTraceInfo profiling_trace_info = ProfilingUtils::GenerateProfilingTrace(*kernel_graph_ptr);
if (!profiling_trace_info.IsValid()) {
MS_LOG(INFO) << "[profiling] no profiling node found!";
return;
}
InsertProfilingKernel(profiling_trace_info, kernel_graph_ptr);
}
void KernelAdjust::InsertProfilingKernel(const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> kernel_graph_ptr) {
MS_LOG(INFO) << "[profiling] Insert profiling kernel start";
if (!profiling_trace_info.IsValid()) {
MS_LOG(WARNING) << "Profiling trace point not found";
return;
}
std::vector<CNodePtr> new_cnode_list;
std::vector<CNodePtr> cnode_ptr_list = kernel_graph_ptr->execution_order();
if (cnode_ptr_list.empty()) {
MS_LOG(ERROR) << "No CNode in graph " << kernel_graph_ptr->graph_id();
return;
}
for (const auto &cnode_ptr : cnode_ptr_list) {
ProfilingUtils::InsertProfilingTraceFp(cnode_ptr, profiling_trace_info, kernel_graph_ptr,
NOT_NULL(&new_cnode_list));
new_cnode_list.emplace_back(cnode_ptr);
ProfilingUtils::InsertProfilingCustomOp(cnode_ptr, profiling_trace_info, kernel_graph_ptr,
NOT_NULL(&new_cnode_list));
ProfilingUtils::InsertProfilingTraceBpEnd(cnode_ptr, profiling_trace_info, kernel_graph_ptr,
NOT_NULL(&new_cnode_list));
ProfilingUtils::InsertProfilingTraceIterEnd(cnode_ptr, profiling_trace_info, kernel_graph_ptr,
NOT_NULL(&new_cnode_list));
}
kernel_graph_ptr->set_execution_order(new_cnode_list);
}
#endif
CNodePtr KernelAdjust::CreateNPUGetFloatStatus(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const CNodePtr &npu_alloc_cnode) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(npu_alloc_cnode);
auto npu_get_primitive = std::make_shared<Primitive>(kNPUGetFloatStatusOpName);
std::vector<AnfNodePtr> npu_get_inputs = {NewValueNode(npu_get_primitive), npu_alloc_cnode};
auto npu_get_cnode = kernel_graph_ptr->NewCNode(npu_get_inputs);
MS_EXCEPTION_IF_NULL(npu_get_cnode);
npu_alloc_cnode->set_scope(kDefaultScope);
npu_get_cnode->set_abstract(npu_alloc_cnode->abstract());
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetInputsDeviceType({kNumberTypeFloat32});
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), npu_get_cnode.get());
return npu_get_cnode;
}
CNodePtr KernelAdjust::CreateNPUClearStatus(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const CNodePtr &npu_alloc_cnode) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(npu_alloc_cnode);
auto npu_clear_primitive = std::make_shared<Primitive>(kNPUClearFloatStatusOpName);
std::vector<AnfNodePtr> npu_clear_inputs = {NewValueNode(npu_clear_primitive), npu_alloc_cnode};
auto npu_clear_cnode = kernel_graph_ptr->NewCNode(npu_clear_inputs);
MS_EXCEPTION_IF_NULL(npu_clear_cnode);
npu_alloc_cnode->set_scope(kDefaultScope);
npu_clear_cnode->set_abstract(npu_alloc_cnode->abstract());
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetInputsDeviceType({kNumberTypeFloat32});
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), npu_clear_cnode.get());
return npu_clear_cnode;
}
CNodePtr KernelAdjust::CreateNPUAllocStatus(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
// create npu_alloc_cnode
auto npu_alloc_primitive = std::make_shared<Primitive>(kNPUAllocFloatStatusOpName);
std::vector<AnfNodePtr> npu_alloc_inputs = {NewValueNode(npu_alloc_primitive)};
auto npu_alloc_cnode = kernel_graph_ptr->NewCNode(npu_alloc_inputs);
MS_EXCEPTION_IF_NULL(npu_alloc_cnode);
npu_alloc_cnode->set_scope(kDefaultScope);
std::vector<size_t> npu_output_shape = {kNPUShape};
AnfAlgo::SetOutputInferTypeAndShape({kNumberTypeFloat32}, {npu_output_shape}, npu_alloc_cnode.get());
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), npu_alloc_cnode.get());
return npu_alloc_cnode;
}
CNodePtr KernelAdjust::CreateAssignAdd(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const CNodePtr &npu_alloc_cnode, const AnfNodePtr &specify_para) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(npu_alloc_cnode);
MS_EXCEPTION_IF_NULL(specify_para);
auto assign_add_primitive = std::make_shared<Primitive>(kAssignAddOpName);
std::vector<AnfNodePtr> assign_add_inputs = {NewValueNode(assign_add_primitive), specify_para, npu_alloc_cnode};
auto assign_add_cnode = kernel_graph_ptr->NewCNode(assign_add_inputs);
MS_EXCEPTION_IF_NULL(assign_add_cnode);
assign_add_cnode->set_scope(kDefaultScope);
assign_add_cnode->set_abstract(specify_para->abstract());
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeFloat32, TypeId::kNumberTypeFloat32});
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), assign_add_cnode.get());
std::vector<std::string> input_names = {"ref", "value"};
std::vector<std::string> output_names = {"output"};
ValuePtr input_names_v = MakeValue(input_names);
ValuePtr output_names_v = MakeValue(output_names);
AnfAlgo::SetNodeAttr("input_names", input_names_v, assign_add_cnode);
AnfAlgo::SetNodeAttr("output_names", output_names_v, assign_add_cnode);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
session::AnfWithOutIndex final_pair = std::make_pair(assign_add_cnode, 0);
session::KernelWithIndex kernel_with_index = AnfAlgo::VisitKernel(AnfAlgo::GetInputNode(assign_add_cnode, 0), 0);
kernel_graph_ptr->AddRefCorrespondPairs(final_pair, kernel_with_index);
return assign_add_cnode;
}
CNodePtr KernelAdjust::CreateAssign(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const AnfNodePtr &specify_para) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(specify_para);
std::vector<float> reset(kNPUShape, 0.0);
ShapeVector reset_shape({static_cast<int64_t>(kNPUShape)});
auto shp_buf_size = sizeof(float) * reset.size();
auto reset_tensor = std::make_shared<tensor::Tensor>(kNumberTypeFloat32, reset_shape, reset.data(), shp_buf_size);
auto reset_value_node = std::make_shared<ValueNode>(reset_tensor);
MS_EXCEPTION_IF_NULL(reset_value_node);
reset_value_node->set_abstract(specify_para->abstract());
kernel_graph_ptr->AddValueNodeToGraph(reset_value_node);
auto kernel_info = std::make_shared<device::KernelInfo>();
MS_EXCEPTION_IF_NULL(kernel_info);
reset_value_node->set_kernel_info(kernel_info);
kernel::KernelBuildInfo::KernelBuildInfoBuilder builder1;
builder1.SetOutputsFormat({kOpFormat_DEFAULT});
builder1.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(builder1.Build(), reset_value_node.get());
auto assign_primitive = std::make_shared<Primitive>(kAssignOpName);
std::vector<AnfNodePtr> assign_inputs = {NewValueNode(assign_primitive), specify_para, reset_value_node};
auto assign_cnode = kernel_graph_ptr->NewCNode(assign_inputs);
MS_EXCEPTION_IF_NULL(assign_cnode);
assign_cnode->set_scope(kDefaultScope);
assign_cnode->set_abstract(specify_para->abstract());
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeFloat32, TypeId::kNumberTypeFloat32});
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeFloat32});
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), assign_cnode.get());
std::vector<std::string> input_names = {"ref", "value"};
std::vector<std::string> output_names = {"output"};
ValuePtr input_names_v = MakeValue(input_names);
ValuePtr output_names_v = MakeValue(output_names);
AnfAlgo::SetNodeAttr("input_names", input_names_v, assign_cnode);
AnfAlgo::SetNodeAttr("output_names", output_names_v, assign_cnode);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
session::AnfWithOutIndex final_pair = std::make_pair(assign_cnode, 0);
session::KernelWithIndex kernel_with_index = AnfAlgo::VisitKernel(AnfAlgo::GetInputNode(assign_cnode, 0), 0);
kernel_graph_ptr->AddRefCorrespondPairs(final_pair, kernel_with_index);
return assign_cnode;
}
void KernelAdjust::InsertOverflowCheckOperations(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_LOG(INFO) << "Start Insert Overflow Check Operations.";
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
auto parameters = kernel_graph_ptr->parameters();
AnfNodePtr specify_para;
bool not_find = true;
for (size_t i = 0; i < parameters.size(); i++) {
auto para_fullname = parameters[i]->fullname_with_scope();
if (para_fullname.find(kSpecifyParameter) != std::string::npos) {
not_find = false;
specify_para = parameters[i];
break;
}
}
if (not_find) {
MS_LOG(INFO) << "Not find parameter named " << kSpecifyParameter;
return;
}
bool first_grad_op = true;
CNodePtr npu_alloc_cnode;
std::vector<CNodePtr> new_execution_order;
auto execution_order = kernel_graph_ptr->execution_order();
for (size_t i = 0; i < execution_order.size() - 1; i++) {
new_execution_order.push_back(execution_order[i]);
auto cur_full_name = execution_order[i]->fullname_with_scope();
auto next_full_name = execution_order[i + 1]->fullname_with_scope();
auto cur_stream_id = AnfAlgo::GetStreamId(execution_order[i]);
auto next_stream_id = AnfAlgo::GetStreamId(execution_order[i + 1]);
if (cur_full_name.find(kGradients) == std::string::npos && next_full_name.find(kGradients) != std::string::npos) {
if (first_grad_op) {
npu_alloc_cnode = CreateNPUAllocStatus(kernel_graph_ptr);
auto npu_clear_cnode = CreateNPUClearStatus(kernel_graph_ptr, npu_alloc_cnode);
auto assign_cnode = CreateAssign(kernel_graph_ptr, specify_para);
AnfAlgo::SetStreamId(next_stream_id, npu_alloc_cnode.get());
AnfAlgo::SetStreamId(next_stream_id, npu_clear_cnode.get());
AnfAlgo::SetStreamId(next_stream_id, assign_cnode.get());
new_execution_order.push_back(npu_alloc_cnode);
new_execution_order.push_back(npu_clear_cnode);
new_execution_order.push_back(assign_cnode);
first_grad_op = false;
} else {
auto npu_clear_cnode = CreateNPUClearStatus(kernel_graph_ptr, npu_alloc_cnode);
AnfAlgo::SetStreamId(next_stream_id, npu_clear_cnode.get());
new_execution_order.push_back(npu_clear_cnode);
}
}
if (cur_full_name.find(kGradients) != std::string::npos && next_full_name.find(kGradients) == std::string::npos) {
auto npu_get_cnode = CreateNPUGetFloatStatus(kernel_graph_ptr, npu_alloc_cnode);
auto assign_add_cnode = CreateAssignAdd(kernel_graph_ptr, npu_alloc_cnode, specify_para);
AnfAlgo::SetStreamId(cur_stream_id, npu_get_cnode.get());
AnfAlgo::SetStreamId(cur_stream_id, assign_add_cnode.get());
new_execution_order.push_back(npu_get_cnode);
new_execution_order.push_back(assign_add_cnode);
}
if (i == execution_order.size() - kLastHandleDiff) {
new_execution_order.push_back(execution_order[i + 1]);
if (next_full_name.find(kGradients) != std::string::npos) {
auto npu_get_cnode = CreateNPUGetFloatStatus(kernel_graph_ptr, npu_alloc_cnode);
auto assign_add_cnode = CreateAssignAdd(kernel_graph_ptr, npu_alloc_cnode, specify_para);
AnfAlgo::SetStreamId(cur_stream_id, npu_get_cnode.get());
AnfAlgo::SetStreamId(cur_stream_id, assign_add_cnode.get());
new_execution_order.push_back(npu_get_cnode);
new_execution_order.push_back(assign_add_cnode);
}
}
}
kernel_graph_ptr->set_execution_order(new_execution_order);
}
// device loop control
std::shared_ptr<Tensor> KernelAdjust::CreateTensor(int32_t initial_value) {
ShapeVector shp = {1};
tensor::TensorPtr tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(tensor);
auto val = static_cast<int32_t *>(tensor->data_c());
MS_EXCEPTION_IF_NULL(val);
*val = initial_value;
return tensor;
}
std::shared_ptr<Parameter> KernelAdjust::CreateParameter(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const string parameter_name) {
ShapeVector shp = {1};
tensor::TensorPtr tensor_ptr = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(tensor_ptr);
mindspore::abstract::AbstractBasePtr parameter_abstract_ptr = tensor_ptr->ToAbstract();
if (parameter_abstract_ptr == nullptr) {
MS_LOG(EXCEPTION) << "Create abstract for device loop control failed!";
}
ParameterPtr param = std::make_shared<Parameter>(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(param);
param->set_name(parameter_name);
param->set_abstract(parameter_abstract_ptr);
ParameterPtr graph_parameter = kernel_graph_ptr->NewParameter(param);
return graph_parameter;
}
void KernelAdjust::InsertDeviceLoopCtrl(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
std::map<std::string, tensor::TensorPtr> device_loop_ctrl_tensors;
std::map<std::string, mindspore::ParameterPtr> device_loop_ctrl_params;
// current loop count
device_loop_ctrl_tensors[kCurLoopCountName] = CreateTensor(0);
device_loop_ctrl_params[kCurLoopCountName] = CreateParameter(kernel_graph_ptr, kCurLoopCountName);
// next loop count tensor
device_loop_ctrl_tensors[kNextLoopCountName] = CreateTensor(0);
device_loop_ctrl_params[kNextLoopCountName] = CreateParameter(kernel_graph_ptr, kNextLoopCountName);
// current epoch count tensor
device_loop_ctrl_tensors[kCurEpochCountName] = CreateTensor(0);
device_loop_ctrl_params[kCurEpochCountName] = CreateParameter(kernel_graph_ptr, kCurEpochCountName);
// constant one tensor
device_loop_ctrl_tensors[kConstOneName] = CreateTensor(1);
device_loop_ctrl_params[kConstOneName] = CreateParameter(kernel_graph_ptr, kConstOneName);
// constant loop num in epoch tensor
int32_t initial_value = 0;
if (NeedLoopSink()) {
initial_value = SizeToInt(LongToSize(ConfigManager::GetInstance().iter_num()));
} else {
MS_LOG(INFO) << "Tensor const_loop_num_in_epoch only used in loop sink mode.";
initial_value = 0;
}
MS_LOG(INFO) << "Loop num in epoch is " << initial_value;
device_loop_ctrl_tensors[kConstLoopNumInEpochName] = CreateTensor(initial_value);
device_loop_ctrl_params[kConstLoopNumInEpochName] = CreateParameter(kernel_graph_ptr, kConstLoopNumInEpochName);
kernel_graph_ptr->set_device_loop_ctrl_tensors(device_loop_ctrl_tensors);
kernel_graph_ptr->set_device_loop_ctrl_params(device_loop_ctrl_params);
}
void KernelAdjust::AssignLoopCtrlTensorMem(const session::KernelGraph &kernel_graph, KernelRuntime *runtime_instance,
const string name) {
MS_EXCEPTION_IF_NULL(runtime_instance);
auto device_loop_control_params = kernel_graph.device_loop_control_params();
if (!device_loop_control_params.count(name)) {
MS_LOG(WARNING) << "Can't find Device Loop Control Parameter " << name;
return;
}
auto param = device_loop_control_params.at(name);
MS_EXCEPTION_IF_NULL(param);
DeviceAddressPtr device_address = nullptr;
if (AnfAlgo::OutputAddrExist(param, 0)) {
device_address = AnfAlgo::GetMutableOutputAddr(param, 0);
MS_EXCEPTION_IF_NULL(device_address);
} else {
MS_LOG(INFO) << "Device Loop Control Parameter " << name << " have no address, allocating...";
auto size = AnfAlgo::GetOutputTensorMemSize(param, 0);
auto format = AnfAlgo::GetOutputFormat(param, 0);
auto type_id = AnfAlgo::GetOutputDeviceDataType(param, 0);
device_address = std::make_shared<device::ascend::AscendDeviceAddress>(nullptr, size, format, type_id);
if (runtime_instance->MallocMem(kStaticMem, size, device_address) == nullptr) {
MS_LOG(EXCEPTION) << "Cannot alloc static memory for device loop control parameter " << name
<< " , tensor size is : " << size;
}
MS_EXCEPTION_IF_NULL(device_address);
AnfAlgo::SetOutputAddr(device_address, 0, param.get());
}
auto device_loop_control_tensors = kernel_graph.device_loop_control_tensors();
auto tensor = device_loop_control_tensors.at(name);
MS_EXCEPTION_IF_NULL(tensor);
tensor->set_device_address(device_address);
if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(param, 0), LongToSize(tensor->data().nbytes()),
tensor->data_type(), tensor->data_c(), tensor->device_info().host_format_)) {
MS_LOG(EXCEPTION) << "SyncHostToDevice failed for device loop control parameter " << name;
}
}
void KernelAdjust::AssignLoopCtrlMemory(const session::KernelGraph &kernel_graph_ptr) {
auto device_loop_control_tensors = kernel_graph_ptr.device_loop_control_tensors();
if (device_loop_control_tensors.empty()) {
return;
}
MS_LOG(INFO) << "Assign device loop control memory";
auto ms_context = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(ms_context);
auto device_id = ms_context->get_param<uint32_t>(MS_CTX_DEVICE_ID);
auto runtime_instance = KernelRuntimeManager::Instance().GetSingleKernelRuntime(kAscendDevice, device_id);
MS_EXCEPTION_IF_NULL(runtime_instance);
AssignLoopCtrlTensorMem(kernel_graph_ptr, runtime_instance, kCurLoopCountName);
AssignLoopCtrlTensorMem(kernel_graph_ptr, runtime_instance, kNextLoopCountName);
AssignLoopCtrlTensorMem(kernel_graph_ptr, runtime_instance, kCurEpochCountName);
AssignLoopCtrlTensorMem(kernel_graph_ptr, runtime_instance, kConstOneName);
AssignLoopCtrlTensorMem(kernel_graph_ptr, runtime_instance, kConstLoopNumInEpochName);
}
void KernelAdjust::SetDeviceLoopCtrlTensor(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::string name, int32_t value) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
auto device_loop_control_tensors = kernel_graph_ptr->device_loop_control_tensors();
if (!device_loop_control_tensors.count(name)) {
MS_LOG(WARNING) << "Can't find Device Loop Control Tensor " << name;
return;
}
auto tensor = device_loop_control_tensors.at(name);
MS_EXCEPTION_IF_NULL(tensor);
auto *cur_val = static_cast<int32_t *>(tensor->data_c());
MS_EXCEPTION_IF_NULL(cur_val);
*cur_val = value;
tensor->set_sync_status(kNeedSyncHostToDevice);
auto device_address = tensor->device_address();
MS_EXCEPTION_IF_NULL(device_address);
if (!device_address->SyncHostToDevice(tensor->shape(), LongToSize(tensor->data().nbytes()), tensor->data_type(),
tensor->data_c(), tensor->device_info().host_format_)) {
MS_LOG(EXCEPTION) << "SyncHostToDevice failed for device loop control parameter " << name;
}
}
void KernelAdjust::LoadDeviceLoopCtrlParameters(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
auto device_loop_control_tensors = kernel_graph_ptr->device_loop_control_tensors();
if (device_loop_control_tensors.empty()) {
return;
}
MS_LOG(INFO) << "Load device loop control data";
SetDeviceLoopCtrlTensor(kernel_graph_ptr, kCurLoopCountName, 0);
SetDeviceLoopCtrlTensor(kernel_graph_ptr, kNextLoopCountName, 0);
SetDeviceLoopCtrlTensor(kernel_graph_ptr, kCurEpochCountName, SizeToInt(kernel_graph_ptr->current_epoch()));
kernel_graph_ptr->set_current_epoch(kernel_graph_ptr->current_epoch() + 1);
}
} // namespace device
} // namespace mindspore
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