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add graphkerneloptimize pass 

align fuse_ops_fusion

align composite_ops_fusion

unify ops table

Init new_code's kernel_info with orig_node's kernel_info in function NewCNodeWithInfo

enable run bert

add pass tensor_promotion

add macro for bias_add and bias_add_grad in expander pass

exclude unused attrs in primitive compare for GraphKernelCSE

exclude fusion_type in kernelinfo cmp for cse in graphkernel

check processor

remove graph kernel pass before select kernel

recover run_standalone_pretrain_ascend.sh

remove is_before_kernel_select

move add_atomic_clean from pass directory to graph_kernel directory

update fuse op list in Ascend back-end
This commit is contained in:
lingyunli63 2020-10-27 15:09:57 +08:00 committed by looop5
parent c54a4a4494
commit a51465c78b
14 changed files with 150 additions and 293 deletions
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69
mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.cc
View File

@ -74,7 +74,6 @@
#include "backend/optimizer/ascend/format_type/convert_unsupported_transnode_to_aicpu.h" #include "backend/optimizer/ascend/format_type/convert_unsupported_transnode_to_aicpu.h"
#include "backend/optimizer/pass/eliminate_redundant_op.h" #include "backend/optimizer/pass/eliminate_redundant_op.h"
#include "backend/optimizer/pass/common_subexpression_elimination.h" #include "backend/optimizer/pass/common_subexpression_elimination.h"
#include "backend/optimizer/pass/add_atomic_clean.h"
#include "backend/optimizer/ascend/format_type/merge_cast_to_op.h" #include "backend/optimizer/ascend/format_type/merge_cast_to_op.h"
#include "backend/optimizer/ascend/format_type/check_consistency.h" #include "backend/optimizer/ascend/format_type/check_consistency.h"
#include "backend/optimizer/ascend/buffer_fusion/ub_pattern_fusion.h" #include "backend/optimizer/ascend/buffer_fusion/ub_pattern_fusion.h"
@ -382,74 +381,6 @@ void AscendBackendOptimization(const std::shared_ptr<session::KernelGraph> &kern
} }
} }
void AscendBackendGraphKernelOpt(const std::shared_ptr<session::KernelGraph> &kernel_graph,
bool is_before_kernel_select) {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
if (!(context_ptr->get_param<bool>(MS_CTX_ENABLE_GRAPH_KERNEL))) {
return;
}
bool save_graphs = context_ptr->get_param<bool>(MS_CTX_SAVE_GRAPHS_FLAG);
if (save_graphs) {
std::string file_name = "hwopt_d_graph_kernel_opt_before_graph_" + std::to_string(!is_before_kernel_select) + "_" +
std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph);
}
// Fuse graph kernels with basic ops
static_cast<void>(FuseCompositeOps(kernel_graph, is_before_kernel_select));
if (save_graphs) {
std::string file_name = "hwopt_d_graph_kernel_opt_end_graph_" + std::to_string(!is_before_kernel_select) + "_" +
std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph, true);
}
}
void AscendBackendFuseBasicOpt(const std::shared_ptr<session::KernelGraph> &kernel_graph,
bool is_before_kernel_select) {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
if (!(context_ptr->get_param<bool>(MS_CTX_ENABLE_GRAPH_KERNEL))) {
return;
}
bool save_graphs = context_ptr->get_param<bool>(MS_CTX_SAVE_GRAPHS_FLAG);
if (save_graphs) {
std::string file_name = "hwopt_fuse_basic_opt_before_graph_" + std::to_string(!is_before_kernel_select) + "_" +
std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph, true);
}
// Fuse basic ops with basic ops
static_cast<void>(FuseBasicOps(kernel_graph, is_before_kernel_select));
if (save_graphs) {
std::string file_name = "hwopt_fuse_basic_opt_end_graph_" + std::to_string(!is_before_kernel_select) + "_" +
std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph, true);
}
}
void AscendBackendAddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
if (!(context_ptr->get_param<bool>(MS_CTX_ENABLE_GRAPH_KERNEL))) {
return;
}
bool save_graphs = context_ptr->get_param<bool>(MS_CTX_SAVE_GRAPHS_FLAG);
if (save_graphs) {
std::string file_name = "hwopt_d_add_atomic_clean_before_graph_" + std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph);
}
AddAtomicClean(kernel_graph);
if (save_graphs) {
std::string file_name = "hwopt_d_end_graph_" + std::to_string(kernel_graph->graph_id()) + ".ir";
DumpIR(file_name, kernel_graph, true);
}
}
void AscendBackendUBFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph) { void AscendBackendUBFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
auto context_ptr = MsContext::GetInstance(); auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr); MS_EXCEPTION_IF_NULL(context_ptr);

5
mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.h
View File

@ -25,11 +25,6 @@ void AscendDataLayout(const std::shared_ptr<session::KernelGraph> &kernel_graph)
void AscendMixPrecision(const std::shared_ptr<session::KernelGraph> &kernel_graph); void AscendMixPrecision(const std::shared_ptr<session::KernelGraph> &kernel_graph);
void AscendBackendOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph); void AscendBackendOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph);
void AscendGraphKernelCommonProcess(const std::shared_ptr<session::KernelGraph> &kernel_graph); void AscendGraphKernelCommonProcess(const std::shared_ptr<session::KernelGraph> &kernel_graph);
void AscendBackendGraphKernelOpt(const std::shared_ptr<session::KernelGraph> &kernel_graph,
bool is_before_kernel_select = false);
void AscendBackendFuseBasicOpt(const std::shared_ptr<session::KernelGraph> &kernel_graph,
bool is_before_kernel_select = false);
void AscendBackendAddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph);
void AscendBackendIRFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph); void AscendBackendIRFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph);
void AscendBackendUBFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph); void AscendBackendUBFusionOptimization(const std::shared_ptr<session::KernelGraph> &kernel_graph);
} // namespace opt } // namespace opt

13
mindspore/ccsrc/backend/optimizer/pass/add_atomic_clean.cc → mindspore/ccsrc/backend/optimizer/graph_kernel/add_atomic_clean.cc
View File

@ -14,7 +14,7 @@
* limitations under the License. * limitations under the License.
*/ */
#include "backend/optimizer/pass/add_atomic_clean.h" #include "backend/optimizer/graph_kernel/add_atomic_clean.h"
#include <memory> #include <memory>
#include <vector> #include <vector>
#include <functional> #include <functional>
@ -75,7 +75,7 @@ CNodePtr CreateTbeAtomicCleanNode(const std::shared_ptr<session::KernelGraph> &k
} }
} // namespace } // namespace
void AddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph) { bool AddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
MS_EXCEPTION_IF_NULL(kernel_graph); MS_EXCEPTION_IF_NULL(kernel_graph);
auto mng = kernel_graph->manager(); auto mng = kernel_graph->manager();
if (mng == nullptr) { if (mng == nullptr) {
@ -83,6 +83,7 @@ void AddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
kernel_graph->set_manager(mng); kernel_graph->set_manager(mng);
} }
auto &todos = kernel_graph->execution_order(); auto &todos = kernel_graph->execution_order();
bool changed = false;
for (auto iter = todos.cbegin(); iter != todos.end(); ++iter) { for (auto iter = todos.cbegin(); iter != todos.end(); ++iter) {
auto node = *iter; auto node = *iter;
if (AnfAlgo::IsGraphKernel(node) && kernel_graph->nodes().contains(node)) { if (AnfAlgo::IsGraphKernel(node) && kernel_graph->nodes().contains(node)) {
@ -112,9 +113,17 @@ void AddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
new_cnode->set_kernel_info(node->kernel_info_ptr()); new_cnode->set_kernel_info(node->kernel_info_ptr());
mng->Replace(node, new_cnode); mng->Replace(node, new_cnode);
g_output_idx.clear(); g_output_idx.clear();
changed = true;
} }
} }
} }
return changed;
}
bool CleanAddAtomic::Run(const FuncGraphPtr &func_graph) {
return AddAtomicClean(std::dynamic_pointer_cast<session::KernelGraph>(func_graph));
} }
} // namespace opt } // namespace opt
} // namespace mindspore } // namespace mindspore

15
mindspore/ccsrc/backend/optimizer/pass/add_atomic_clean.h → mindspore/ccsrc/backend/optimizer/graph_kernel/add_atomic_clean.h
View File

@ -14,16 +14,23 @@
* limitations under the License. * limitations under the License.
*/ */
#ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_PASS_ADD_ATOMIC_CLEAN_H_ #ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CLEAN_ADD_ATOMIC_H_
#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_PASS_ADD_ATOMIC_CLEAN_H_ #define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CLEAN_ADD_ATOMIC_H_
#include <memory> #include <memory>
#include "backend/optimizer/common/optimizer.h"
#include "backend/session/kernel_graph.h" #include "backend/session/kernel_graph.h"
namespace mindspore { namespace mindspore {
namespace opt { namespace opt {
void AddAtomicClean(const std::shared_ptr<session::KernelGraph> &kernel_graph); class CleanAddAtomic : public Pass {
public:
CleanAddAtomic() : Pass("clean_add_atomic") {}
~CleanAddAtomic() override = default;
bool Run(const FuncGraphPtr &func_graph) override;
};
using CleanAddAtomicPtr = std::shared_ptr<CleanAddAtomic>;
} // namespace opt } // namespace opt
} // namespace mindspore } // namespace mindspore
#endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_PASS_ADD_ATOMIC_CLEAN_H #endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CLEAN_ADD_ATOMIC_H_

46
mindspore/ccsrc/backend/optimizer/graph_kernel/basic_ops_fusion.cc
View File

@ -35,24 +35,7 @@
namespace mindspore { namespace mindspore {
namespace opt { namespace opt {
namespace { namespace {
bool IsBasicOp(const AnfNodePtr &node, bool is_before_kernel_select) { IncludeType IncludeFusedBasicOpForward(const AnfNodePtr &cur_node, const AnfNodePtr &node) {
#if ENABLE_D
std::vector<PrimitivePtr> fusible_basic_ops = {prim::kPrimTensorAdd, prim::kPrimMul, prim::kPrimSub,
prim::kPrimExpandDims};
if (!is_before_kernel_select) {
fusible_basic_ops.push_back(prim::kPrimCast);
}
#elif ENABLE_GPU
std::vector<PrimitivePtr> fusible_basic_ops = GetFusibleOpList();
#else
std::vector<PrimitivePtr> fusible_basic_ops;
#endif
return std::any_of(fusible_basic_ops.begin(), fusible_basic_ops.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); });
}
IncludeType IncludeFusedBasicOpForward(const AnfNodePtr &cur_node, const GraphKernelInfo &info,
const AnfNodePtr &node) {
if (cur_node == node) { if (cur_node == node) {
return FOLLOW; return FOLLOW;
} }
@ -60,16 +43,13 @@ IncludeType IncludeFusedBasicOpForward(const AnfNodePtr &cur_node, const GraphKe
return EXCLUDE; return EXCLUDE;
} }
bool is_fusable = IsBasicOp(node, info.is_before_kernel_select); bool is_fusable = IsBasicFuseOp(node);
return is_fusable ? FOLLOW : EXCLUDE; return is_fusable ? FOLLOW : EXCLUDE;
} }
std::vector<AnfNodePtr> FindFuseCNodes(const CNodePtr &cnode, bool is_before_kernel_select) { std::vector<AnfNodePtr> FindFuseCNodes(const CNodePtr &cnode) {
GraphKernelInfo info;
info.is_before_kernel_select = is_before_kernel_select;
// Search fusable nodes according input direction. // Search fusable nodes according input direction.
auto include_func_forward = std::bind(IncludeFusedBasicOpForward, cnode, info, std::placeholders::_1); auto include_func_forward = std::bind(IncludeFusedBasicOpForward, cnode, std::placeholders::_1);
auto used_nodes = DeepLinkedGraphSearch(cnode, include_func_forward); auto used_nodes = DeepLinkedGraphSearch(cnode, include_func_forward);
if (used_nodes.size() > 1) { if (used_nodes.size() > 1) {
used_nodes = RemoveCircle(used_nodes, false); used_nodes = RemoveCircle(used_nodes, false);
@ -176,7 +156,7 @@ void RemoveControlDependOut(const FuncGraphPtr &fg, AnfNodePtrList *outputs, con
} }
bool FuseBasicOps(const FuncGraphPtr &kernel_graph, const std::vector<AnfNodePtr> &todos, bool FuseBasicOps(const FuncGraphPtr &kernel_graph, const std::vector<AnfNodePtr> &todos,
std::unordered_set<AnfNodePtr> *fused_ops, bool is_before_kernel_select) { std::unordered_set<AnfNodePtr> *fused_ops) {
bool changed = false; bool changed = false;
auto mng = kernel_graph->manager(); auto mng = kernel_graph->manager();
for (auto iter = todos.cbegin(); iter != todos.cend(); ++iter) { for (auto iter = todos.cbegin(); iter != todos.cend(); ++iter) {
@ -187,12 +167,12 @@ bool FuseBasicOps(const FuncGraphPtr &kernel_graph, const std::vector<AnfNodePtr
if (fused_ops->count(node)) { if (fused_ops->count(node)) {
continue; continue;
} }
bool is_basic_op = IsBasicOp(node, is_before_kernel_select); bool is_basic_op = IsBasicFuseOp(node);
if (!is_basic_op || !kernel_graph->nodes().contains(node)) { if (!is_basic_op || !kernel_graph->nodes().contains(node)) {
continue; continue;
} }
auto fuse_nodes = FindFuseCNodes(node, is_before_kernel_select); auto fuse_nodes = FindFuseCNodes(node);
if (fuse_nodes.size() <= 1) { if (fuse_nodes.size() <= 1) {
continue; continue;
} }
@ -204,10 +184,8 @@ bool FuseBasicOps(const FuncGraphPtr &kernel_graph, const std::vector<AnfNodePtr
std::tie(fg, inputs, outputs) = compile::TransformSegmentToAnfGraph(fuse_nodes); std::tie(fg, inputs, outputs) = compile::TransformSegmentToAnfGraph(fuse_nodes);
RemoveControlDependOut(fg, &outputs, mng); RemoveControlDependOut(fg, &outputs, mng);
ConvertNonscalarTensorToParameter(fg, &inputs); ConvertNonscalarTensorToParameter(fg, &inputs);
auto fuse_new_node = CreateNewFuseCNode(kernel_graph, fg, inputs, outputs, is_before_kernel_select); auto fuse_new_node = CreateNewFuseCNode(kernel_graph, fg, inputs, outputs);
if (!is_before_kernel_select) { SetNewKernelInfo(fuse_new_node, fg, inputs, outputs, AnfAlgo::GetProcessor(fuse_nodes[0]));
SetNewKernelInfo(fuse_new_node, fg, inputs, outputs, AnfAlgo::GetProcessor(fuse_nodes[0]));
}
ReplaceNewFuseCNode(kernel_graph, fuse_new_node, outputs); ReplaceNewFuseCNode(kernel_graph, fuse_new_node, outputs);
@ -224,7 +202,7 @@ bool FuseBasicOps(const FuncGraphPtr &kernel_graph, const std::vector<AnfNodePtr
} }
} // namespace } // namespace
bool FuseBasicOps(const FuncGraphPtr &kernel_graph, bool is_before_kernel_select) { bool FuseBasicOps(const FuncGraphPtr &kernel_graph) {
MS_EXCEPTION_IF_NULL(kernel_graph); MS_EXCEPTION_IF_NULL(kernel_graph);
auto mng = kernel_graph->manager(); auto mng = kernel_graph->manager();
if (mng == nullptr) { if (mng == nullptr) {
@ -234,9 +212,9 @@ bool FuseBasicOps(const FuncGraphPtr &kernel_graph, bool is_before_kernel_select
std::unordered_set<AnfNodePtr> fused_ops; std::unordered_set<AnfNodePtr> fused_ops;
auto todos = TopoSort(kernel_graph->get_return()); auto todos = TopoSort(kernel_graph->get_return());
std::reverse(todos.begin(), todos.end()); std::reverse(todos.begin(), todos.end());
return FuseBasicOps(kernel_graph, todos, &fused_ops, is_before_kernel_select); return FuseBasicOps(kernel_graph, todos, &fused_ops);
} }
bool BasicOpsFusion::Run(const FuncGraphPtr &func_graph) { return FuseBasicOps(func_graph, false); } bool BasicOpsFusion::Run(const FuncGraphPtr &func_graph) { return FuseBasicOps(func_graph); }
} // namespace opt } // namespace opt
} // namespace mindspore } // namespace mindspore

2
mindspore/ccsrc/backend/optimizer/graph_kernel/basic_ops_fusion.h
View File

@ -22,7 +22,7 @@
namespace mindspore { namespace mindspore {
namespace opt { namespace opt {
bool FuseBasicOps(const FuncGraphPtr &kernel_graph, bool is_before_kernel_select); bool FuseBasicOps(const FuncGraphPtr &kernel_graph);
class BasicOpsFusion : public Pass { class BasicOpsFusion : public Pass {
public: public:

141
mindspore/ccsrc/backend/optimizer/graph_kernel/composite_ops_fusion.cc
View File

@ -60,127 +60,23 @@ std::vector<AnfNodePtr> DeepUsersSearch(const std::vector<AnfNodePtr> &roots, co
} }
} // namespace } // namespace
bool IsBasicFuseOp(const AnfNodePtr &node, bool is_before_kernel_select) { bool IsFuse(const AnfNodePtr &node) {
#if ENABLE_D
std::vector<PrimitivePtr> basic_ops = {
prim::kPrimAddN, prim::kPrimTensorAdd, prim::kPrimMul, prim::kPrimSub, prim::kPrimMaximum,
prim::kPrimMinimum, prim::kPrimNeg, prim::kPrimRealDiv, prim::kPrimPow, prim::kPrimSqrt,
prim::kPrimExpandDims, prim::kPrimReciprocal, prim::kPrimLessEqual};
if (!is_before_kernel_select) {
basic_ops.push_back(prim::kPrimCast);
}
#elif ENABLE_GPU
std::vector<PrimitivePtr> basic_ops = GetFusibleOpList();
#else
std::vector<PrimitivePtr> basic_ops;
#endif
return std::any_of(basic_ops.begin(), basic_ops.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); });
}
bool IsReduceOp(const AnfNodePtr &node) {
std::vector<PrimitivePtr> reduce_ops = {prim::kPrimReduceSum, prim::kPrimReduceMean, prim::kPrimReduceMin,
prim::kPrimReduceMax, prim::kPrimReduceAll};
return std::any_of(reduce_ops.begin(), reduce_ops.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); });
}
void GetGraphKernelInfo(const FuncGraphPtr &fg, GraphKernelInfo *info) {
MS_EXCEPTION_IF_NULL(fg);
auto mng = fg->manager();
if (mng == nullptr) {
mng = Manage(fg, false);
fg->set_manager(mng);
}
const auto &nodes = fg->nodes();
info->op_type = ELEWISE;
info->cal_step = -1;
info->reduce_op_num = 0;
for (auto node : nodes) {
auto cnode = node->cast<CNodePtr>();
if (cnode == nullptr) {
continue;
}
info->cal_step++;
if (IsReduceOp(node)) {
info->op_type = REDUCE;
info->reduce_op_num++;
}
}
auto fg_flag = fg->get_attr(FUNC_GRAPH_ATTR_GRAPH_KERNEL);
if (fg_flag != nullptr) {
auto fg_name = GetValue<std::string>(fg_flag);
info->origin_composite_name = fg_name;
}
}
bool IsCompositeFuseBasic(const GraphKernelInfo &info, const AnfNodePtr &node) {
#if ENABLE_D
std::vector<PrimitivePtr> fusable_with_reduce;
if (!info.is_before_kernel_select) {
fusable_with_reduce.push_back(prim::kPrimCast);
}
if (info.op_type == REDUCE &&
(info.cal_step >= MAX_REDUCE_OP_FUSION_CAL_STEP || info.reduce_op_num >= MAX_REDUCE_OP_FUSION_REDUCE_NUM)) {
return std::any_of(fusable_with_reduce.begin(), fusable_with_reduce.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); });
}
#endif
return IsBasicFuseOp(node, info.is_before_kernel_select);
}
bool IsFuse(const GraphKernelInfo &info, const AnfNodePtr &node) {
// composite fuse composite op // composite fuse composite op
if (AnfAlgo::IsGraphKernel(node)) { if (AnfAlgo::IsGraphKernel(node)) {
#if ENABLE_D
return false;
#else
return true; return true;
#endif
} }
return IsCompositeFuseBasic(info, node); return IsBasicFuseOp(node);
} }
void UpdateGraphKernelInfo(GraphKernelInfo *info, const AnfNodePtr &node) { IncludeType IncludeFusedBasicOpForward(const AnfNodePtr &cur_node, const AnfNodePtr &node) {
if (IsPrimitiveCNode(node)) {
info->cal_step++;
if (IsReduceOp(node)) {
info->op_type = REDUCE;
}
info->origin_composite_name += AnfAlgo::GetCNodePrimitive(node)->name() + "_";
} else if (AnfAlgo::IsGraphKernel(node)) {
auto cnode = node->cast<CNodePtr>();
auto composite_g = GetValueNode<FuncGraphPtr>(cnode->input(0));
GraphKernelInfo fuse_info;
GetGraphKernelInfo(composite_g, &fuse_info);
info->cal_step += fuse_info.cal_step;
info->origin_composite_name += fuse_info.origin_composite_name;
}
}
IncludeType IncludeFusedBasicOpForward(const AnfNodePtr &cur_node, GraphKernelInfo *info, const AnfNodePtr &node) {
if (cur_node == node) { if (cur_node == node) {
return FOLLOW; return FOLLOW;
} }
#if ENABLE_D bool is_fusable = IsFuse(node);
if (!IsPrimitiveCNode(node)) {
return EXCLUDE;
}
#else
bool is_fuse_composite = AnfAlgo::IsGraphKernel(node);
if (!IsPrimitiveCNode(node) && !is_fuse_composite) {
return EXCLUDE;
}
#endif
bool is_fusable = IsFuse(*info, node);
if (is_fusable) {
UpdateGraphKernelInfo(info, node);
}
return is_fusable ? FOLLOW : EXCLUDE; return is_fusable ? FOLLOW : EXCLUDE;
} }
IncludeType IncludeFusedBasicOpBackward(const AnfNodePtr &cur_node, GraphKernelInfo *info, const AnfNodePtr &node) { IncludeType IncludeFusedBasicOpBackward(const AnfNodePtr &cur_node, const AnfNodePtr &node) {
if (cur_node == node) { if (cur_node == node) {
return FOLLOW; return FOLLOW;
} }
@ -195,14 +91,7 @@ IncludeType IncludeFusedBasicOpBackward(const AnfNodePtr &cur_node, GraphKernelI
} }
return EXCLUDE; return EXCLUDE;
} }
if (!IsPrimitiveCNode(node)) { bool is_fusable = IsBasicFuseOp(node);
return EXCLUDE;
}
bool is_fusable = IsFuse(*info, node);
if (is_fusable) {
UpdateGraphKernelInfo(info, node);
}
return is_fusable ? FOLLOW : EXCLUDE; return is_fusable ? FOLLOW : EXCLUDE;
} }
@ -350,19 +239,15 @@ void TopoSortForNodeList(std::vector<AnfNodePtr> *lst) {
lst->assign(res.begin(), res.end()); lst->assign(res.begin(), res.end());
} }
std::vector<AnfNodePtr> FindFuseCNodes(const CNodePtr &cnode, bool is_before_kernel_select) { std::vector<AnfNodePtr> FindFuseCNodes(const CNodePtr &cnode) {
auto func_graph = cnode->func_graph(); auto func_graph = cnode->func_graph();
auto graph_kernel_g = GetValueNode<FuncGraphPtr>(cnode->input(0));
GraphKernelInfo info;
info.is_before_kernel_select = is_before_kernel_select;
GetGraphKernelInfo(graph_kernel_g, &info);
auto mng = func_graph->manager(); auto mng = func_graph->manager();
// Search fusable nodes according input direction. // Search fusable nodes according input direction.
auto include_func_forward = std::bind(IncludeFusedBasicOpForward, cnode, &info, std::placeholders::_1); auto include_func_forward = std::bind(IncludeFusedBasicOpForward, cnode, std::placeholders::_1);
auto used_nodes = DeepLinkedGraphSearch(cnode, include_func_forward); auto used_nodes = DeepLinkedGraphSearch(cnode, include_func_forward);
std::reverse(used_nodes.begin(), used_nodes.end()); std::reverse(used_nodes.begin(), used_nodes.end());
// Search fusable nodes according output direction. // Search fusable nodes according output direction.
auto include_func_backward = std::bind(IncludeFusedBasicOpBackward, cnode, &info, std::placeholders::_1); auto include_func_backward = std::bind(IncludeFusedBasicOpBackward, cnode, std::placeholders::_1);
auto user_nodes = DeepUsersSearch(cnode, include_func_backward, mng); auto user_nodes = DeepUsersSearch(cnode, include_func_backward, mng);
used_nodes.insert(used_nodes.end(), user_nodes.begin() + 1, user_nodes.end()); used_nodes.insert(used_nodes.end(), user_nodes.begin() + 1, user_nodes.end());
@ -373,7 +258,7 @@ std::vector<AnfNodePtr> FindFuseCNodes(const CNodePtr &cnode, bool is_before_ker
return used_nodes; return used_nodes;
} }
bool FuseCompositeOps(const std::shared_ptr<session::KernelGraph> &kernel_graph, bool is_before_kernel_select) { bool FuseCompositeOps(const std::shared_ptr<session::KernelGraph> &kernel_graph) {
MS_EXCEPTION_IF_NULL(kernel_graph); MS_EXCEPTION_IF_NULL(kernel_graph);
bool changed = false; bool changed = false;
auto &todos = kernel_graph->execution_order(); auto &todos = kernel_graph->execution_order();
@ -392,19 +277,19 @@ bool FuseCompositeOps(const std::shared_ptr<session::KernelGraph> &kernel_graph,
} }
} }
auto fuse_nodes = FindFuseCNodes(node, is_before_kernel_select); auto fuse_nodes = FindFuseCNodes(node);
if (fuse_nodes.size() <= 1) { if (fuse_nodes.size() <= 1) {
continue; continue;
} }
changed = true; changed = true;
FuseNodesToSubGraph(fuse_nodes, kernel_graph, "", is_before_kernel_select); FuseNodesToSubGraph(fuse_nodes, kernel_graph, "");
} }
return changed; return changed;
} }
bool CompositeOpsFusion::Run(const FuncGraphPtr &func_graph) { bool CompositeOpsFusion::Run(const FuncGraphPtr &func_graph) {
return FuseCompositeOps(std::dynamic_pointer_cast<session::KernelGraph>(func_graph), false); return FuseCompositeOps(std::dynamic_pointer_cast<session::KernelGraph>(func_graph));
} }
} // namespace opt } // namespace opt
} // namespace mindspore } // namespace mindspore

21
mindspore/ccsrc/backend/optimizer/graph_kernel/composite_ops_fusion.h
View File

@ -26,25 +26,6 @@
namespace mindspore { namespace mindspore {
namespace opt { namespace opt {
enum GraphKernelType {
ELEWISE = 0, // only contain elewise basic ops
REDUCE, // contain reduce ops
CUBE, // contain cube ops
};
struct GraphKernelInfo {
GraphKernelType op_type = ELEWISE;
bool is_before_kernel_select = false;
int reduce_op_num = 0;
int cal_step = 0;
std::string origin_composite_name = "";
};
// when composite fuse composite the cal step is greate than this number, not fuse
#if ENABLE_D
const int MAX_REDUCE_OP_FUSION_CAL_STEP = 5;
const int MAX_REDUCE_OP_FUSION_REDUCE_NUM = 2;
#endif
const std::set<std::string> graph_kernel_black_list = {"BNTrainingUpdateSum", "ApplyMomentum", "LayerNormForward", const std::set<std::string> graph_kernel_black_list = {"BNTrainingUpdateSum", "ApplyMomentum", "LayerNormForward",
"LambNextMV", "LambUpdateWithLR"}; "LambNextMV", "LambUpdateWithLR"};
@ -52,7 +33,7 @@ std::vector<AnfNodePtr> RemoveCircle(const std::vector<AnfNodePtr> &fused_op, bo
void TopoSortForNodeList(std::vector<AnfNodePtr> *lst); void TopoSortForNodeList(std::vector<AnfNodePtr> *lst);
bool FuseCompositeOps(const std::shared_ptr<session::KernelGraph> &kernel_graph, bool is_before_kernel_select = false); bool FuseCompositeOps(const std::shared_ptr<session::KernelGraph> &kernel_graph);
class CompositeOpsFusion : public Pass { class CompositeOpsFusion : public Pass {
public: public:

2
mindspore/ccsrc/backend/optimizer/graph_kernel/graph_kernel_expander.cc
View File

@ -176,7 +176,7 @@ AnfNodePtr GraphKernelExpander::CreateExpandGraphKernel(const FuncGraphPtr &func
EliminateRedundantParameters(new_func_graph, &inputs); EliminateRedundantParameters(new_func_graph, &inputs);
kernel::GetValidKernelNodes(new_func_graph, &kernel_nodes); kernel::GetValidKernelNodes(new_func_graph, &kernel_nodes);
kernel::GetFuncGraphOutputNodes(new_func_graph, &outputs); kernel::GetFuncGraphOutputNodes(new_func_graph, &outputs);
auto graph_kernel_node = CreateNewFuseCNode(func_graph, new_func_graph, inputs, outputs, false); auto graph_kernel_node = CreateNewFuseCNode(func_graph, new_func_graph, inputs, outputs);
SetNewKernelInfo(graph_kernel_node, new_func_graph, inputs, outputs, AnfAlgo::GetProcessor(node)); SetNewKernelInfo(graph_kernel_node, new_func_graph, inputs, outputs, AnfAlgo::GetProcessor(node));
std::string graph_kernel_flag; std::string graph_kernel_flag;
std::for_each(kernel_nodes.begin(), kernel_nodes.end(), [&graph_kernel_flag](const AnfNodePtr &node) { std::for_each(kernel_nodes.begin(), kernel_nodes.end(), [&graph_kernel_flag](const AnfNodePtr &node) {

82
mindspore/ccsrc/backend/optimizer/graph_kernel/graph_kernel_helper.cc
View File

@ -24,6 +24,7 @@
#include "vm/segment_runner.h" #include "vm/segment_runner.h"
#include "backend/kernel_compiler/akg/akg_kernel_json_generator.h" #include "backend/kernel_compiler/akg/akg_kernel_json_generator.h"
#include "backend/kernel_compiler/akg/akg_kernel_json_decoder.h" #include "backend/kernel_compiler/akg/akg_kernel_json_decoder.h"
#include "backend/kernel_compiler/kernel.h"
#include "ir/func_graph_cloner.h" #include "ir/func_graph_cloner.h"
#include "ir/func_graph.h" #include "ir/func_graph.h"
#include "backend/optimizer/pass/const_input_to_attr_registry.h" #include "backend/optimizer/pass/const_input_to_attr_registry.h"
@ -445,7 +446,7 @@ AnfNodePtrList GetExpandOuts(const AnfNodePtrList &outs) {
} }
AnfNodePtr CreateNewFuseCNode(const FuncGraphPtr &func_graph, const FuncGraphPtr &fg, const AnfNodePtrList &inputs, AnfNodePtr CreateNewFuseCNode(const FuncGraphPtr &func_graph, const FuncGraphPtr &fg, const AnfNodePtrList &inputs,
const AnfNodePtrList &outputs, bool is_before_kernel_select) { const AnfNodePtrList &outputs) {
auto func_node = NewValueNode(fg); auto func_node = NewValueNode(fg);
std::vector<AnfNodePtr> fn_inputs; std::vector<AnfNodePtr> fn_inputs;
fn_inputs.push_back(func_node); fn_inputs.push_back(func_node);
@ -467,9 +468,6 @@ AnfNodePtr CreateNewFuseCNode(const FuncGraphPtr &func_graph, const FuncGraphPtr
auto kernel_with_index = AnfAlgo::VisitKernel(inputs[i], 0); auto kernel_with_index = AnfAlgo::VisitKernel(inputs[i], 0);
auto input_abs = GetOutputAbstract(kernel_with_index.first, kernel_with_index.second); auto input_abs = GetOutputAbstract(kernel_with_index.first, kernel_with_index.second);
fg->parameters()[i]->set_abstract(input_abs); fg->parameters()[i]->set_abstract(input_abs);
if (is_before_kernel_select) {
fg->parameters()[i]->set_kernel_info(std::make_shared<device::KernelInfo>());
}
} }
return fuse_cnode; return fuse_cnode;
} }
@ -529,8 +527,7 @@ void ReplaceNewFuseCNode(const FuncGraphPtr &func_graph, const AnfNodePtr &new_f
} }
void FuseNodesToSubGraph(const std::vector<AnfNodePtr> &fuse_nodes, void FuseNodesToSubGraph(const std::vector<AnfNodePtr> &fuse_nodes,
const std::shared_ptr<session::KernelGraph> &kernel_graph, const std::string &postfix, const std::shared_ptr<session::KernelGraph> &kernel_graph, const std::string &postfix) {
bool is_before_kernel_select) {
if (fuse_nodes.empty()) { if (fuse_nodes.empty()) {
return; return;
} }
@ -547,10 +544,8 @@ void FuseNodesToSubGraph(const std::vector<AnfNodePtr> &fuse_nodes,
AnfNodePtrList outputs; AnfNodePtrList outputs;
std::tie(fg, inputs, outputs) = MixedNodesTransToGraph(fuse_nodes, &src_outputs); std::tie(fg, inputs, outputs) = MixedNodesTransToGraph(fuse_nodes, &src_outputs);
auto fuse_new_node = CreateNewFuseCNode(kernel_graph, fg, inputs, outputs, is_before_kernel_select); auto fuse_new_node = CreateNewFuseCNode(kernel_graph, fg, inputs, outputs);
if (!is_before_kernel_select) { SetNewKernelInfo(fuse_new_node, fg, inputs, outputs, AnfAlgo::GetProcessor(fuse_nodes[0]));
SetNewKernelInfo(fuse_new_node, fg, inputs, outputs, AnfAlgo::GetProcessor(fuse_nodes[0]));
}
// Handle get-item probleam. // Handle get-item probleam.
ReplaceNewFuseCNode(kernel_graph, fuse_new_node, src_outputs); ReplaceNewFuseCNode(kernel_graph, fuse_new_node, src_outputs);
@ -702,9 +697,20 @@ FuncGraphPtr JsonDescToAnf(const std::string &json_desc, const std::vector<AnfNo
std::unordered_set<PrimitivePtr> GetExpandOps() { std::unordered_set<PrimitivePtr> GetExpandOps() {
std::unordered_set<PrimitivePtr> expand_ops = { std::unordered_set<PrimitivePtr> expand_ops = {
prim::kPrimSquare, prim::kPrimBiasAdd, prim::kPrimBiasAddGrad, prim::kPrimGelu, prim::kPrimSquare,
prim::kPrimGeluGrad, prim::kPrimFusedAdam, prim::kPrimFusedAdamWeightDecay, prim::kPrimTanhGrad, #if ENABLE_GPU
prim::kPrimReduceMean, prim::kPrimMaximumGrad, prim::kPrimMinimumGrad}; prim::kPrimBiasAdd,
prim::kPrimBiasAddGrad,
prim::kPrimGelu,
prim::kPrimGeluGrad,
prim::kPrimFusedAdam,
prim::kPrimFusedAdamWeightDecay,
prim::kPrimTanhGrad,
prim::kPrimReduceMean,
prim::kPrimMaximumGrad,
prim::kPrimMinimumGrad
#endif
};
return expand_ops; return expand_ops;
} }
@ -725,16 +731,54 @@ std::string ExtractGraphKernelName(const AnfNodePtrList &cnodes, const string &p
} }
std::vector<PrimitivePtr> GetFusibleOpList() { std::vector<PrimitivePtr> GetFusibleOpList() {
#if ENABLE_D
std::vector<PrimitivePtr> fusible_basic_ops = { std::vector<PrimitivePtr> fusible_basic_ops = {
prim::kPrimAbs, prim::kPrimRound, prim::kPrimNeg, prim::kPrimExp, prim::kPrimTensorAdd, prim::kPrimAbs, prim::kPrimRound, prim::kPrimNeg, prim::kPrimExp, prim::kPrimTensorAdd,
prim::kPrimRealDiv, prim::kPrimMul, prim::kPrimMinimum, prim::kPrimMaximum, prim::kPrimLog, prim::kPrimExpandDims, prim::kPrimMul, prim::kPrimMinimum, prim::kPrimMaximum, prim::kPrimLog,
prim::kPrimPow, prim::kPrimSub, prim::kPrimRsqrt, prim::kPrimSqrt, prim::kPrimCast, prim::kPrimPow, prim::kPrimSub, prim::kPrimRsqrt, prim::kPrimSqrt, prim::kPrimAddN,
prim::kPrimAddN, prim::kPrimEqual, prim::kPrimReciprocal, prim::KPrimTransData, prim::kPrimSelect, prim::kPrimEqual, prim::kPrimReciprocal, prim::kPrimReduceSum, prim::kPrimTanh, prim::kPrimReshape,
prim::kPrimGreater, prim::kPrimAssign, prim::kPrimReduceSum, prim::kPrimTanh, prim::kPrimReshape, prim::kPrimTranspose, prim::kPrimCast};
prim::kPrimTranspose}; #elif ENABLE_GPU
std::vector<PrimitivePtr> fusible_basic_ops = {
prim::kPrimAbs, prim::kPrimRound, prim::kPrimNeg, prim::kPrimExp, prim::kPrimTensorAdd,
prim::kPrimRealDiv, prim::kPrimMul, prim::kPrimMinimum, prim::kPrimMaximum, prim::kPrimLog,
prim::kPrimPow, prim::kPrimSub, prim::kPrimRsqrt, prim::kPrimSqrt, prim::kPrimAddN,
prim::kPrimEqual, prim::kPrimReciprocal, prim::KPrimTransData, prim::kPrimSelect, prim::kPrimGreater,
prim::kPrimAssign, prim::kPrimReduceSum, prim::kPrimTanh, prim::kPrimReshape, prim::kPrimTranspose,
prim::kPrimCast};
#else
std::vector<PrimitivePtr> fusible_basic_ops;
#endif
return fusible_basic_ops; return fusible_basic_ops;
} }
bool CheckProcessor(const AnfNodePtr &node, kernel::Processor processor = kernel::Processor::AICORE) {
MS_EXCEPTION_IF_NULL(node);
auto node_kernel_info = dynamic_cast<device::KernelInfo *>(node->kernel_info());
if (node_kernel_info == nullptr) {
return false;
}
auto node_build_info = node_kernel_info->GetMutableSelectKernelBuildInfo();
if (node_build_info == nullptr) {
return false;
}
return node_build_info->processor() == processor;
}
bool IsBasicFuseOp(const AnfNodePtr &node) {
std::vector<PrimitivePtr> basic_ops = GetFusibleOpList();
#if ENABLE_D
if (!CheckProcessor(node)) {
return false;
}
#endif
return std::any_of(basic_ops.begin(), basic_ops.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); });
}
void ResetKernelInfo(const AnfNodePtr &node, KernelType kernel_type) { void ResetKernelInfo(const AnfNodePtr &node, KernelType kernel_type) {
auto cnode = node->cast<CNodePtr>(); auto cnode = node->cast<CNodePtr>();
MS_EXCEPTION_IF_NULL(cnode); MS_EXCEPTION_IF_NULL(cnode);

6
mindspore/ccsrc/backend/optimizer/graph_kernel/graph_kernel_helper.h
View File

@ -45,12 +45,11 @@ void SetNewKernelInfo(const AnfNodePtr &new_node, const FuncGraphPtr &fg, const
const AnfNodePtrList &outputs, kernel::Processor processor); const AnfNodePtrList &outputs, kernel::Processor processor);
AnfNodePtrList GetExpandOuts(const AnfNodePtrList &outs); AnfNodePtrList GetExpandOuts(const AnfNodePtrList &outs);
AnfNodePtr CreateNewFuseCNode(const FuncGraphPtr &kernel_graph, const FuncGraphPtr &fg, const AnfNodePtrList &inputs, AnfNodePtr CreateNewFuseCNode(const FuncGraphPtr &kernel_graph, const FuncGraphPtr &fg, const AnfNodePtrList &inputs,
const AnfNodePtrList &outputs, bool is_before_kernel_select); const AnfNodePtrList &outputs);
void ReplaceNewFuseCNode(const FuncGraphPtr &kernel_graph, const AnfNodePtr &new_fuse_cnode, void ReplaceNewFuseCNode(const FuncGraphPtr &kernel_graph, const AnfNodePtr &new_fuse_cnode,
const AnfNodePtrList &outputs); const AnfNodePtrList &outputs);
void FuseNodesToSubGraph(const std::vector<AnfNodePtr> &fuse_nodes, void FuseNodesToSubGraph(const std::vector<AnfNodePtr> &fuse_nodes,
const std::shared_ptr<session::KernelGraph> &kernel_graph, const std::string &postfix, const std::shared_ptr<session::KernelGraph> &kernel_graph, const std::string &postfix);
bool is_before_kernel_select);
bool AnfToJsonDesc(const AnfNodePtrList &nodes, const DumpOption &dump_option, nlohmann::json *op_desc); bool AnfToJsonDesc(const AnfNodePtrList &nodes, const DumpOption &dump_option, nlohmann::json *op_desc);
bool AnfToJsonDesc(const AnfNodePtrList &nodes, const DumpOption &dump_option, nlohmann::json *op_desc, bool AnfToJsonDesc(const AnfNodePtrList &nodes, const DumpOption &dump_option, nlohmann::json *op_desc,
std::map<std::string, AnfNodePtr> *address_node_map); std::map<std::string, AnfNodePtr> *address_node_map);
@ -59,6 +58,7 @@ FuncGraphPtr JsonDescToAnf(const std::string &json_desc, const std::vector<AnfNo
std::unordered_set<PrimitivePtr> GetExpandOps(); std::unordered_set<PrimitivePtr> GetExpandOps();
std::string ExtractGraphKernelName(const AnfNodePtrList &cnodes, const string &prefix = "", const string &postfix = ""); std::string ExtractGraphKernelName(const AnfNodePtrList &cnodes, const string &prefix = "", const string &postfix = "");
std::vector<PrimitivePtr> GetFusibleOpList(); std::vector<PrimitivePtr> GetFusibleOpList();
bool IsBasicFuseOp(const AnfNodePtr &node);
void ResetKernelInfo(const AnfNodePtr &node, KernelType kernel_type = KernelType::UNKNOWN_KERNEL_TYPE); void ResetKernelInfo(const AnfNodePtr &node, KernelType kernel_type = KernelType::UNKNOWN_KERNEL_TYPE);
} // namespace opt } // namespace opt
} // namespace mindspore } // namespace mindspore

2
mindspore/ccsrc/backend/optimizer/graph_kernel/tensor_promotion.cc
View File

@ -45,7 +45,7 @@ bool TensorPromotion::Run(const FuncGraphPtr &func_graph) {
AnfNodePtrList inputs, outputs; AnfNodePtrList inputs, outputs;
inputs.insert(inputs.end(), args.begin() + 1, args.end()); inputs.insert(inputs.end(), args.begin() + 1, args.end());
kernel::GetFuncGraphOutputNodes(fg, &outputs); kernel::GetFuncGraphOutputNodes(fg, &outputs);
auto new_cnode = CreateNewFuseCNode(func_graph, fg, inputs, outputs, false); auto new_cnode = CreateNewFuseCNode(func_graph, fg, inputs, outputs);
SetNewKernelInfo(new_cnode, fg, inputs, outputs, AnfAlgo::GetProcessor(node)); SetNewKernelInfo(new_cnode, fg, inputs, outputs, AnfAlgo::GetProcessor(node));
mng->Replace(node, new_cnode); mng->Replace(node, new_cnode);
changed = true; changed = true;

38
mindspore/ccsrc/backend/session/ascend_session.cc
View File

@ -41,6 +41,14 @@
#include "debug/data_dump/dump_json_parser.h" #include "debug/data_dump/dump_json_parser.h"
#include "debug/tensor_load.h" #include "debug/tensor_load.h"
#include "backend/optimizer/graph_kernel/basic_ops_fusion.h" #include "backend/optimizer/graph_kernel/basic_ops_fusion.h"
#include "backend/optimizer/graph_kernel/composite_ops_fusion.h"
#include "backend/optimizer/graph_kernel/tensor_promotion.h"
#include "backend/optimizer/graph_kernel/graph_kernel_splitter.h"
#include "backend/optimizer/graph_kernel/graph_kernel_expander.h"
#include "backend/optimizer/graph_kernel/graph_kernel_cse.h"
#include "backend/optimizer/graph_kernel/value_graph_binder.h"
#include "backend/optimizer/graph_kernel/add_atomic_clean.h"
#include "backend/optimizer/pass/getitem_tuple.h"
#include "debug/data_dump/e2e_dump_util.h" #include "debug/data_dump/e2e_dump_util.h"
#include "debug/anf_ir_dump.h" #include "debug/anf_ir_dump.h"
#include "debug/dump_proto.h" #include "debug/dump_proto.h"
@ -291,8 +299,6 @@ void AscendSession::CompileChildGraph(const KernelGraphPtr &child_graph) {
MS_EXCEPTION_IF_NULL(child_graph); MS_EXCEPTION_IF_NULL(child_graph);
MS_LOG(INFO) << "CompileChildGraph " << child_graph->ToString(); MS_LOG(INFO) << "CompileChildGraph " << child_graph->ToString();
opt::AscendBackendIRFusionOptimization(child_graph); opt::AscendBackendIRFusionOptimization(child_graph);
opt::AscendBackendFuseBasicOpt(child_graph, true);
opt::AscendBackendGraphKernelOpt(child_graph, true);
child_graph->SetExecOrderByDefault(); child_graph->SetExecOrderByDefault();
auto context_ptr = MsContext::GetInstance(); auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr); MS_EXCEPTION_IF_NULL(context_ptr);
@ -466,13 +472,35 @@ void AscendSession::HardwareOptimize(const std::shared_ptr<KernelGraph> &kernel_
MS_LOG(INFO) << "HardwareOptimize start!"; MS_LOG(INFO) << "HardwareOptimize start!";
opt::AscendBackendOptimization(kernel_graph); opt::AscendBackendOptimization(kernel_graph);
opt::AscendGraphKernelCommonProcess(kernel_graph); opt::AscendGraphKernelCommonProcess(kernel_graph);
opt::AscendBackendFuseBasicOpt(kernel_graph, false); GraphKernelOptimize(kernel_graph);
opt::AscendBackendAddAtomicClean(kernel_graph);
MS_EXCEPTION_IF_NULL(kernel_graph); MS_EXCEPTION_IF_NULL(kernel_graph);
kernel_graph->SetExecOrderByDefault(); kernel_graph->SetExecOrderByDefault();
MS_LOG(INFO) << "HardwareOptimize Finish!"; MS_LOG(INFO) << "HardwareOptimize Finish!";
} }
void AscendSession::GraphKernelOptimize(const std::shared_ptr<KernelGraph> &kernel_graph) const {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
if (!(context_ptr->get_param<bool>(MS_CTX_ENABLE_GRAPH_KERNEL))) {
return;
}
auto optimizer = std::make_shared<opt::GraphOptimizer>();
auto pm = std::make_shared<opt::PassManager>("graph_kernel_pm");
pm->AddPass(std::make_shared<opt::GraphKernelExpander>());
pm->AddPass(std::make_shared<opt::BasicOpsFusion>());
pm->AddPass(std::make_shared<opt::CompositeOpsFusion>());
pm->AddPass(std::make_shared<opt::GraphKernelCSE>());
pm->AddPass(std::make_shared<opt::TensorPromotion>());
pm->AddPass(std::make_shared<opt::GraphKernelSplitter>());
// After Simplify and Splitter, a lot of redundant getitem/maketuple
// will be exposed, use GetitemTuple Pass to delete them.
pm->AddPass(std::make_shared<opt::GetitemTuple>());
pm->AddPass(std::make_shared<opt::BindValueToGraph>());
pm->AddPass(std::make_shared<opt::CleanAddAtomic>());
optimizer->AddPassManager(pm);
(void)optimizer->Optimize(kernel_graph);
}
void AscendSession::AdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const { void AscendSession::AdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const {
MS_LOG(INFO) << "Start!"; MS_LOG(INFO) << "Start!";
opt::HideNopNode(kernel_graph.get()); opt::HideNopNode(kernel_graph.get());
@ -865,8 +893,6 @@ void AscendSession::IrFusionPass(const NotNull<KernelGraphPtr> graph, NotNull<st
memo->insert(graph.get()); memo->insert(graph.get());
opt::AscendBackendIRFusionOptimization(graph); opt::AscendBackendIRFusionOptimization(graph);
opt::AscendBackendFuseBasicOpt(graph, true);
opt::AscendBackendGraphKernelOpt(graph, true);
graph->SetExecOrderByDefault(); graph->SetExecOrderByDefault();
auto context_ptr = MsContext::GetInstance(); auto context_ptr = MsContext::GetInstance();

1
mindspore/ccsrc/backend/session/ascend_session.h
View File

@ -87,6 +87,7 @@ class AscendSession : public SessionBasic {
void InitRuntimeResource(); void InitRuntimeResource();
void SelectKernel(const KernelGraph &kernel_graph) const; void SelectKernel(const KernelGraph &kernel_graph) const;
void HardwareOptimize(const std::shared_ptr<KernelGraph> &kernel_graph) const; void HardwareOptimize(const std::shared_ptr<KernelGraph> &kernel_graph) const;
void GraphKernelOptimize(const std::shared_ptr<KernelGraph> &kernel_graph) const;
void AdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const; void AdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const;
void RunOpAdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const; void RunOpAdjustKernel(const std::shared_ptr<KernelGraph> &kernel_graph) const;
void AssignStream(NotNull<KernelGraphPtr> kernel_graph) const; void AssignStream(NotNull<KernelGraphPtr> kernel_graph) const;