!9428 [GraphKernel] Modify cast to accelerate amp performance when active graph kernel

From: @tronzhang
Reviewed-by: @ryanww,@gaoxiong1
Signed-off-by: @gaoxiong1
pull/9428/MERGE
mindspore-ci-bot 4 years ago committed by Gitee
commit a9e586dbe7

@ -16,6 +16,7 @@
#include "backend/optimizer/graph_kernel/graph_kernel_cse.h"
#include <algorithm>
#include <memory>
#include <string>
#include <utility>
@ -26,13 +27,15 @@
namespace mindspore {
namespace opt {
namespace {
bool IsCNodePrimitveEqual(const CNodePtr &main, const CNodePtr &node) {
bool IsCNodePrimitveEqual(const CNodePtr &main, const CNodePtr &node, const std::vector<PrimitivePtr> &black_list) {
auto main_primitive = AnfAlgo::GetCNodePrimitive(main);
auto node_primitive = AnfAlgo::GetCNodePrimitive(node);
if (main_primitive != nullptr && node_primitive != nullptr) {
// Some ops such as Reshape is not real op, cse these type will not get gain. And for ops fusion, keep these op
// alone can prevent some redundant output case (input -> reshape -> output).
if (main_primitive->name() != node_primitive->name() || IsPrimitiveCNode(node, prim::kPrimReshape)) {
if (main_primitive->name() != node_primitive->name() ||
std::any_of(black_list.begin(), black_list.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); })) {
return false;
}
@ -125,12 +128,12 @@ bool GraphKernelBackendCSE::CheckEqualCnodeInputs(const AnfNodePtr &main, const
return false;
}
}
return IsCNodePrimitveEqual(c_main, c_node);
return IsCNodePrimitveEqual(c_main, c_node, black_list_);
}
bool GraphKernelCSE::Run(const FuncGraphPtr &func_graph) {
MS_EXCEPTION_IF_NULL(func_graph);
auto graphkernel_backend_cse = std::make_shared<GraphKernelBackendCSE>();
auto graphkernel_backend_cse = std::make_shared<GraphKernelBackendCSE>(black_list_);
return graphkernel_backend_cse->Cse(func_graph, func_graph->manager());
}
} // namespace opt

@ -13,27 +13,35 @@
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CSE_H_
#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CSE_H_
#ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_GRAPH_KERNEL_CSE_H_
#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_GRAPH_KERNEL_CSE_H_
#include <vector>
#include "backend/optimizer/pass/common_subexpression_elimination.h"
namespace mindspore {
namespace opt {
class GraphKernelCSE : public Pass {
public:
GraphKernelCSE() : Pass("graph_kernel_cse") {}
explicit GraphKernelCSE(const std::vector<PrimitivePtr> &black_list = {})
: Pass("graph_kernel_cse"), black_list_(black_list) {}
~GraphKernelCSE() override = default;
bool Run(const FuncGraphPtr &func_graph) override;
private:
std::vector<PrimitivePtr> black_list_;
};
class GraphKernelBackendCSE : public BackendCSE {
public:
GraphKernelBackendCSE() = default;
explicit GraphKernelBackendCSE(const std::vector<PrimitivePtr> &black_list = {}) : black_list_(black_list) {}
~GraphKernelBackendCSE() override = default;
bool CheckEqualKernelBuildInfo(const AnfNodePtr &main, const AnfNodePtr &node) const override;
bool CheckEqualCnodeInputs(const AnfNodePtr &main, const AnfNodePtr &node) const override;
private:
std::vector<PrimitivePtr> black_list_;
};
} // namespace opt
} // namespace mindspore
#endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_CSE_H_
#endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_GRAPH_KERNEL_CSE_H_

@ -34,7 +34,7 @@ namespace mindspore {
namespace opt {
namespace {
bool IsMultiUserShapeOps(AnfNodePtr node, const FuncGraphManagerPtr &mng) {
std::vector<PrimitivePtr> shape_ops = {prim::kPrimReshape};
std::vector<PrimitivePtr> shape_ops = {prim::kPrimReshape, prim::kPrimCast};
auto &users = mng->node_users();
return std::any_of(shape_ops.begin(), shape_ops.end(),
[&node](const PrimitivePtr &prim) { return IsPrimitiveCNode(node, prim); }) &&

@ -120,7 +120,9 @@ void GPUSession::Optimize(const std::shared_ptr<KernelGraph> &kernel_graph) {
pm->AddPass(std::make_shared<opt::AdamFusion>());
pm->AddPass(std::make_shared<opt::ApplyMomentumWeightDecayScaleFusion>());
pm->AddPass(std::make_shared<opt::ApplyMomentumScaleFusion>());
pm->AddPass(std::make_shared<opt::CastAllFusion>("cast_all"));
if (!(context_ptr->get_param<bool>(MS_CTX_ENABLE_GRAPH_KERNEL))) {
pm->AddPass(std::make_shared<opt::CastAllFusion>("cast_all"));
}
pm->AddPass(std::make_shared<opt::CombineMomentumFusion>("combine_momentum"));
pm->AddPass(std::make_shared<opt::ReplaceMomentumCastFusion>());
pm->AddPass(std::make_shared<opt::ReplaceAddNFusion>());
@ -165,15 +167,17 @@ void GPUSession::GraphKernelOptimize(const std::shared_ptr<KernelGraph> &kernel_
}
auto optimizer = std::make_shared<opt::GraphOptimizer>();
auto pm = std::make_shared<opt::PassManager>("graph_kernel_pm");
std::vector<PrimitivePtr> black_list = {prim::kPrimReshape, prim::kPrimCast};
pm->AddPass(std::make_shared<opt::GraphKernelExpander>());
pm->AddPass(std::make_shared<opt::ShapeOpsSplitter>());
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::GraphKernelCSE>(black_list));
pm->AddPass(std::make_shared<opt::ArithmeticSimplify>());
pm->AddPass(std::make_shared<opt::GraphKernelCSE>());
pm->AddPass(std::make_shared<opt::GraphKernelCSE>(black_list));
pm->AddPass(std::make_shared<opt::TensorPromotion>());
pm->AddPass(std::make_shared<opt::GraphKernelSplitter>());
pm->AddPass(std::make_shared<opt::GraphKernelCSE>());
// 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>());

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