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support fused_mutli_transformer_xpu_int8 (#58902)
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paddle/fluid/framework/ir/xpu/fused_multi_transformer_int8_cachekv_layout_trans_pass.cc
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| // 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 "paddle/fluid/framework/ir/xpu/fused_multi_transformer_int8_cachekv_layout_trans_pass.h" | ||
| #include <string> | ||
| #include "paddle/fluid/framework/ir/graph_pattern_detector.h" | ||
| #include "paddle/fluid/framework/ir/xpu/pass_utils.h" | ||
| #include "paddle/fluid/framework/op_version_registry.h" | ||
| #include "paddle/fluid/platform/enforce.h" | ||
|
|
||
| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
| namespace patterns { | ||
|
|
||
| struct FusedMultiTransformerInt8FillConstantPattern : public PatternBase { | ||
| FusedMultiTransformerInt8FillConstantPattern(PDPattern* pattern, | ||
| const std::string& name_scope); | ||
|
|
||
| // declare operator node's name | ||
| PATTERN_DECL_NODE(fill_constant); | ||
| PATTERN_DECL_NODE(fused_multi_transformer_int8); | ||
| // declare variable node's name | ||
| PATTERN_DECL_NODE(fill_constant_out); | ||
| }; // struct FusedMultiTransformerInt8FillConstantPattern | ||
|
|
||
| FusedMultiTransformerInt8FillConstantPattern:: | ||
| FusedMultiTransformerInt8FillConstantPattern(PDPattern* pattern, | ||
| const std::string& name_scope) | ||
| : PatternBase(pattern, name_scope, name_scope) { | ||
| auto* fill_constant = pattern->NewNode(fill_constant_repr()) | ||
| ->assert_is_op("fill_constant") | ||
| ->assert_has_n_inputs(5) | ||
| ->assert_more([](Node* node) { | ||
| return node->Op()->GetAttrIfExists<std::string>( | ||
| "friendly_device_type") != "xpu"; | ||
| }); | ||
| auto* fill_constant_out = pattern->NewNode(fill_constant_out_repr()) | ||
| ->assert_is_op_output("fill_constant", "Out"); | ||
| auto* fused_multi_transformer_int8 = | ||
| pattern->NewNode(fused_multi_transformer_int8_repr()) | ||
| ->assert_is_op("fused_multi_transformer_int8"); | ||
|
|
||
| fill_constant->LinksTo({fill_constant_out}); | ||
| fused_multi_transformer_int8->LinksFrom({fill_constant_out}); | ||
| } | ||
|
|
||
| struct FusedMultiTransformerIng8GatherPattern : public PatternBase { | ||
| FusedMultiTransformerIng8GatherPattern(PDPattern* pattern, | ||
| const std::string& name_scope); | ||
|
|
||
| // declare operator node's name | ||
| PATTERN_DECL_NODE(fused_multi_transformer_int8); | ||
| PATTERN_DECL_NODE(gather); | ||
| // declare variable node's name | ||
| PATTERN_DECL_NODE(gather_in); | ||
| PATTERN_DECL_NODE(gather_out); | ||
| }; // struct FusedMultiTransformerIng8GatherPattern | ||
|
|
||
| FusedMultiTransformerIng8GatherPattern::FusedMultiTransformerIng8GatherPattern( | ||
| PDPattern* pattern, const std::string& name_scope) | ||
| : PatternBase(pattern, name_scope, name_scope) { | ||
| auto* gather_in = | ||
| pattern->NewNode(gather_in_repr())->assert_is_op_input("gather", "X"); | ||
| auto* gather = pattern->NewNode(gather_repr()) | ||
| ->assert_is_op("gather") | ||
| ->assert_more([](Node* node) { | ||
| return node->Op()->GetAttrIfExists<int>("axis") == 1; | ||
| }); | ||
| auto* gather_out = | ||
| pattern->NewNode(gather_out_repr())->assert_is_op_output("gather", "Out"); | ||
| auto* fused_multi_transformer_int8 = | ||
| pattern->NewNode(fused_multi_transformer_int8_repr()) | ||
| ->assert_is_op("fused_multi_transformer_int8"); | ||
|
|
||
| gather->LinksFrom({gather_in}).LinksTo({gather_out}); | ||
| fused_multi_transformer_int8->LinksFrom({gather_out}); | ||
| } | ||
| } // namespace patterns | ||
|
|
||
| void FusedMultiTransformerInt8CacheKVLayoutTransPass::FillConstantReshapePass( | ||
| ir::Graph* graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| GraphPatternDetector gpd; | ||
| patterns::FusedMultiTransformerInt8FillConstantPattern pattern( | ||
| gpd.mutable_pattern(), name_scope_); | ||
|
|
||
| int found_subgraph_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, | ||
| Graph* graph) { | ||
| VLOG(4) << "handle FillConstantReshapePass"; | ||
| GET_IR_NODE(fused_multi_transformer_int8); | ||
| GET_IR_NODE(fill_constant); | ||
| GET_IR_NODE(fill_constant_out); | ||
| auto cachekv_names = fused_multi_transformer_int8->Op()->Input("CacheKV"); | ||
| if (std::count(cachekv_names.begin(), | ||
| cachekv_names.end(), | ||
| fill_constant_out->Name()) == 0) | ||
| return; | ||
|
|
||
| auto fill_constant_input_names = | ||
| fill_constant->Op()->Input("ShapeTensorList"); | ||
| auto fill_constant_trans_input_names = | ||
| std::vector<std::string>{fill_constant_input_names[0], | ||
| fill_constant_input_names[3], | ||
| fill_constant_input_names[1], | ||
| fill_constant_input_names[2], | ||
| fill_constant_input_names[4]}; | ||
| fill_constant->Op()->SetInput("ShapeTensorList", | ||
| fill_constant_trans_input_names); | ||
|
|
||
| auto fill_constant_output_shape = fill_constant_out->Var()->GetShape(); | ||
| fill_constant_out->Var()->SetShape({fill_constant_output_shape[0], | ||
| fill_constant_output_shape[3], | ||
| fill_constant_output_shape[1], | ||
| fill_constant_output_shape[2], | ||
| fill_constant_output_shape[4]}); | ||
|
|
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| fused_multi_transformer_int8->Op()->SetAttr("friendly_device_type", | ||
| std::string("xpu")); | ||
| fill_constant->Op()->SetAttr("friendly_device_type", std::string("xpu")); | ||
| found_subgraph_count++; | ||
| }; | ||
|
|
||
| gpd(graph, handler); | ||
| AddStatis(found_subgraph_count); | ||
| } | ||
|
|
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| int FusedMultiTransformerInt8CacheKVLayoutTransPass:: | ||
| CountFillConstantReshapePattern(ir::Graph* graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| GraphPatternDetector gpd; | ||
| patterns::FusedMultiTransformerInt8FillConstantPattern pattern( | ||
| gpd.mutable_pattern(), name_scope_); | ||
| int found_subgraph_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, | ||
| Graph* graph) { | ||
| VLOG(4) << "handle FillConstantReshapePass"; | ||
| GET_IR_NODE(fused_multi_transformer_int8); | ||
| GET_IR_NODE(fill_constant); | ||
| GET_IR_NODE(fill_constant_out); | ||
| auto cachekv_names = fused_multi_transformer_int8->Op()->Input("CacheKV"); | ||
| if (std::count(cachekv_names.begin(), | ||
| cachekv_names.end(), | ||
| fill_constant_out->Name()) == 0) | ||
| return; | ||
| found_subgraph_count++; | ||
| }; | ||
| gpd(graph, handler); | ||
| return found_subgraph_count; | ||
| } | ||
|
|
||
| void FusedMultiTransformerInt8CacheKVLayoutTransPass::GatherReshapePass( | ||
| ir::Graph* graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| GraphPatternDetector gpd; | ||
| patterns::FusedMultiTransformerIng8GatherPattern pattern( | ||
| gpd.mutable_pattern(), name_scope_); | ||
|
|
||
| int found_subgraph_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, | ||
| Graph* graph) { | ||
| VLOG(4) << "handle GatherReshapePass"; | ||
| GET_IR_NODE(gather); | ||
| GET_IR_NODE(fused_multi_transformer_int8); | ||
| GET_IR_NODE(gather_in); | ||
| GET_IR_NODE(gather_out); | ||
| auto cachekv_names = fused_multi_transformer_int8->Op()->Input("CacheKV"); | ||
| if (std::count(cachekv_names.begin(), | ||
| cachekv_names.end(), | ||
| gather_out->Name()) == 0) | ||
| return; | ||
|
|
||
| auto gather_in_shape = gather_in->Var()->GetShape(); | ||
| auto gather_out_shape = gather_out->Var()->GetShape(); | ||
| gather_in->Var()->SetShape({gather_in_shape[0], | ||
| gather_in_shape[3], | ||
| gather_in_shape[1], | ||
| gather_in_shape[2], | ||
| gather_in_shape[4]}); | ||
| gather_out->Var()->SetShape({gather_out_shape[0], | ||
| gather_out_shape[3], | ||
| gather_out_shape[1], | ||
| gather_out_shape[2], | ||
| gather_out_shape[4]}); | ||
| gather->Op()->SetAttr("axis", 2); | ||
| fused_multi_transformer_int8->Op()->SetAttr("friendly_device_type", | ||
| std::string("xpu")); | ||
|
|
||
| found_subgraph_count++; | ||
| }; | ||
|
|
||
| gpd(graph, handler); | ||
| AddStatis(found_subgraph_count); | ||
| } | ||
|
|
||
| int FusedMultiTransformerInt8CacheKVLayoutTransPass::CountGatherReshapePattern( | ||
| ir::Graph* graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| GraphPatternDetector gpd; | ||
| patterns::FusedMultiTransformerIng8GatherPattern pattern( | ||
| gpd.mutable_pattern(), name_scope_); | ||
|
|
||
| int found_subgraph_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, | ||
| Graph* graph) { | ||
| VLOG(4) << "handle GatherReshapePass"; | ||
| GET_IR_NODE(gather); | ||
| GET_IR_NODE(fused_multi_transformer_int8); | ||
| GET_IR_NODE(gather_in); | ||
| GET_IR_NODE(gather_out); | ||
| auto cachekv_names = fused_multi_transformer_int8->Op()->Input("CacheKV"); | ||
| if (std::count(cachekv_names.begin(), | ||
| cachekv_names.end(), | ||
| gather_out->Name()) == 0) | ||
| return; | ||
| found_subgraph_count++; | ||
| }; | ||
| gpd(graph, handler); | ||
| return found_subgraph_count; | ||
| } | ||
|
|
||
| void FusedMultiTransformerInt8CacheKVLayoutTransPass::ApplyImpl( | ||
| ir::Graph* graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| if (!graph->IsMainGraph()) { | ||
| VLOG(3) << "'fused_multi_transformer_cachekv_layout_pass' needs info in " | ||
| "all graphs, so it should be applied in the main graph."; | ||
| return; | ||
| } | ||
| Init(name_scope_, graph); | ||
| int pattern_cnt0 = 0, pattern_cnt1 = 0; | ||
| for (size_t i = 0; i < graph->SubGraphsSize(); i++) { | ||
| pattern_cnt0 += CountFillConstantReshapePattern(graph->GetSubGraph(i)); | ||
| pattern_cnt1 += CountGatherReshapePattern(graph->GetSubGraph(i)); | ||
| } | ||
| if (pattern_cnt0 != 0 && pattern_cnt1 != 0 && pattern_cnt0 == pattern_cnt1) { | ||
| for (size_t i = 0; i < graph->SubGraphsSize(); i++) { | ||
| FillConstantReshapePass(graph->GetSubGraph(i)); | ||
| GatherReshapePass(graph->GetSubGraph(i)); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
|
|
||
| REGISTER_PASS( | ||
| fused_multi_transformer_int8_cachekv_layout_trans_pass, | ||
| paddle::framework::ir::FusedMultiTransformerInt8CacheKVLayoutTransPass); |
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