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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -77,6 +77,6 @@ cc_library( | |
| op_registry | ||
| variable_helper | ||
| memcpy | ||
| scale_op | ||
| generated_op | ||
| autograd_meta | ||
| hook_utils) | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,145 @@ | ||
| // Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // 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 <string> | ||
| #include "paddle/fluid/framework/ir/fuse_pass_base.h" | ||
| #include "paddle/fluid/framework/ir/graph_pattern_detector.h" | ||
| #include "paddle/fluid/framework/ir/pass.h" | ||
| #include "paddle/fluid/framework/ir/xpu/pass_utils.h" | ||
| #include "paddle/fluid/framework/ir/xpu/quant_utils.h" | ||
| #include "paddle/fluid/framework/op_version_registry.h" | ||
| #include "paddle/fluid/platform/enforce.h" | ||
|
|
||
| namespace phi { | ||
| class DenseTensor; | ||
| } // namespace phi | ||
|
|
||
| namespace paddle { | ||
| namespace framework { | ||
| class Scope; | ||
| } // namespace framework | ||
| } // namespace paddle | ||
|
|
||
| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
| namespace patterns { | ||
|
|
||
| struct FusionXPUOpPattern : public PatternBase { | ||
| FusionXPUOpPattern(PDPattern* pattern, | ||
| const std::string& name_scope, | ||
| const std::string& op_type); | ||
|
|
||
| // declare operator node's name | ||
| PATTERN_DECL_NODE(fusion_op); | ||
| // declare variable node's name | ||
| PATTERN_DECL_NODE(out); | ||
| PATTERN_DECL_NODE(out_max); | ||
|
|
||
| private: | ||
| std::string op_type_; | ||
| }; | ||
|
|
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| FusionXPUOpPattern::FusionXPUOpPattern(PDPattern* pattern, | ||
| const std::string& name_scope, | ||
| const std::string& op_type) | ||
| : PatternBase(pattern, name_scope, name_scope), op_type_(op_type) { | ||
| auto* fusion_op = pattern->NewNode(fusion_op_repr())->assert_is_op(op_type_); | ||
| auto* out = pattern->NewNode(out_repr()) | ||
| ->assert_is_op_output(op_type_, "out") | ||
| ->assert_var_not_persistable(); | ||
| auto* out_max = pattern->NewNode(out_max_repr()) | ||
| ->assert_is_op_output(op_type_, "out_max") | ||
| ->assert_var_not_persistable(); | ||
| fusion_op->LinksTo({out, out_max}); | ||
| } | ||
|
|
||
| } // namespace patterns | ||
|
|
||
| class LinkXPUOpMaxPass : public FusePassBase { | ||
| protected: | ||
| void ApplyImpl(ir::Graph* graph) const override; | ||
|
|
||
| private: | ||
| void ApplyImpl(ir::Graph* graph, const std::string& op_type) const; | ||
|
|
||
| const std::string name_scope_{"multi_encoder_xpu_slice_fuse_pass"}; | ||
| // ops with x_max/out_max | ||
| std::set<std::string> op_types_{"fc_xpu", "conv2d_xpu"}; | ||
| }; | ||
|
|
||
| /* | ||
| Origin subgraph: | ||
| fusion_xpu_op0 | ||
| / \ | ||
| | | | ||
| out0 out0_max | ||
| | | ||
| \ | ||
| fusion_xpu_op1 | ||
| Fused subgraph: | ||
| fusion_xpu_op0 | ||
| / \ | ||
| | | | ||
| out0 out0_max | ||
| | | | ||
| \ / | ||
| fusion_xpu_op1 | ||
| */ | ||
| void LinkXPUOpMaxPass::ApplyImpl(ir::Graph* graph) const { | ||
| Init(name_scope_, graph); | ||
| for (auto op_type : op_types_) { | ||
| ApplyImpl(graph, op_type); | ||
| } | ||
| } | ||
|
|
||
| void LinkXPUOpMaxPass::ApplyImpl(ir::Graph* graph, | ||
| const std::string& op_type) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| GraphPatternDetector gpd; | ||
| patterns::FusionXPUOpPattern pattern( | ||
| gpd.mutable_pattern(), name_scope_, op_type); | ||
|
|
||
| int found_subgraph_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, | ||
| Graph* graph) { | ||
| VLOG(4) << "handle LinkXPUOpMaxPass fuse"; | ||
| GET_IR_NODE(fusion_op); | ||
| GET_IR_NODE(out); | ||
| GET_IR_NODE(out_max); | ||
| for (auto next_op : out->outputs) { | ||
| auto* next_op_desc = next_op->Op(); | ||
| if (op_types_.count(next_op_desc->Type()) == 0) continue; | ||
| next_op_desc->SetInput("x_max", {out_max->Name()}); | ||
| IR_NODE_LINK_TO(out_max, next_op); | ||
| found_subgraph_count++; | ||
| } | ||
| }; | ||
|
|
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| gpd(graph, handler); | ||
| AddStatis(found_subgraph_count); | ||
| } | ||
|
|
||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
|
|
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| REGISTER_PASS(link_xpu_op_max_pass, paddle::framework::ir::LinkXPUOpMaxPass); | ||
|
|
||
| REGISTER_PASS_CAPABILITY(link_xpu_op_max_pass) | ||
| .AddCombination( | ||
| paddle::framework::compatible::OpVersionComparatorCombination().EQ( | ||
| "fc_xpu", 0)); |
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