Multihead matmul sparse #5
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2022 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. | ||
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| #include "paddle/fluid/framework/ir/replace_dense_multihead_matmul_with_sparse_pass.h" | ||
| #include "paddle/fluid/framework/ir/graph_helper.h" | ||
| #include "paddle/fluid/framework/op_version_registry.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| ReplaceDenseMultiheadMatmulWithSparsePass:: | ||
| ReplaceDenseMultiheadMatmulWithSparsePass() { | ||
| AddOpCompat(OpCompat("multihead_matmul")) | ||
| .AddInput("Input") | ||
| .IsTensor() | ||
| .End() | ||
| .AddInput("W") | ||
| .IsTensor() | ||
| .End() | ||
| .AddInput("Bias") | ||
| .IsTensor() | ||
| .End() | ||
| .AddInput("BiasQK") | ||
| .IsTensor() | ||
| .End() | ||
| .AddOutput("Out") | ||
| .IsTensor() | ||
| .End(); | ||
| } | ||
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| void ReplaceDenseMultiheadMatmulWithSparsePass::ApplyImpl(Graph *graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::InvalidArgument("Graph cannot be nullptr.")); | ||
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| std::string name_scope = "replace_dense_multihead_matmul_with_sparse_pass"; | ||
| FusePassBase::Init(name_scope, graph); | ||
| GraphPatternDetector gpd; | ||
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| patterns::MultiheadMatmul multihead_matmul_pattern( | ||
| gpd.mutable_pattern(), "dense_multihead_matmul_replace_pass"); | ||
| multihead_matmul_pattern(); | ||
| int found_multihead_matmul_count = 0; | ||
| auto handler = [&](const GraphPatternDetector::subgraph_t &subgraph, | ||
| Graph *g) { | ||
| VLOG(4) << "Replace dense multihead matmul with sparse multihead matmul."; | ||
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| /* if (!IsCompat(subgraph, g)) { | ||
| LOG(WARNING) << "Pass in op compat failed."; | ||
| return; | ||
| }*/ | ||
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| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul_out, multihead_matmul_out, | ||
| multihead_matmul_pattern); | ||
| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul, multihead_matmul, | ||
| multihead_matmul_pattern); | ||
| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul_input, multihead_matmul_input, | ||
| multihead_matmul_pattern); | ||
| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul_weights, | ||
| multihead_matmul_weights, | ||
| multihead_matmul_pattern); | ||
| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul_bias, multihead_matmul_bias, | ||
| multihead_matmul_pattern); | ||
| GET_IR_NODE_FROM_SUBGRAPH(multihead_matmul_biasqk, multihead_matmul_biasqk, | ||
| multihead_matmul_pattern); | ||
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| auto *multihead_matmul_op = multihead_matmul->Op(); | ||
| auto w_name = multihead_matmul_op->Input("W")[0]; | ||
| // recognize sparse op by name | ||
| if (w_name.find("sparse_2_4") != w_name.npos) { | ||
| // fake op | ||
| OpDesc desc(multihead_matmul_op->Block()); | ||
| desc.SetType("sparse_multihead_matmul"); | ||
| desc.SetInput("Input", {multihead_matmul_input->Name()}); | ||
| desc.SetInput("W", {multihead_matmul_weights->Name()}); | ||
| desc.SetInput("Bias", {multihead_matmul_bias->Name()}); | ||
| desc.SetInput("BiasQK", {multihead_matmul_biasqk->Name()}); | ||
| desc.SetOutput("Out", {multihead_matmul_out->Name()}); | ||
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| // copy all attr | ||
| desc.SetAttr("alpha", multihead_matmul_op->GetAttr("alpha")); | ||
| desc.SetAttr("head_number", multihead_matmul_op->GetAttr("head_number")); | ||
| if (multihead_matmul_op->HasAttr("Input_scale")) { | ||
| desc.SetAttr("Input_scale", | ||
| multihead_matmul_op->GetAttr("Input_scale")); | ||
| } | ||
| if (multihead_matmul_op->HasAttr("fc_out_threshold")) { | ||
| desc.SetAttr("fc_out_threshold", | ||
| multihead_matmul_op->GetAttr("fc_out_threshold")); | ||
| } | ||
| if (multihead_matmul_op->HasAttr("qkv2context_plugin_int8")) { | ||
| desc.SetAttr("qkv2context_plugin_int8", | ||
| multihead_matmul_op->GetAttr("qkv2context_plugin_int8")); | ||
| } | ||
| if (multihead_matmul_op->HasAttr("dp_probs")) { | ||
| desc.SetAttr("dp_probs", multihead_matmul_op->GetAttr("dp_probs")); | ||
| } | ||
| if (multihead_matmul_op->HasAttr("out_threshold")) { | ||
| desc.SetAttr("out_threshold", | ||
| multihead_matmul_op->GetAttr("out_threshold")); | ||
| } | ||
| desc.Flush(); | ||
| GraphSafeRemoveNodes(g, {multihead_matmul}); | ||
| auto sparse_multihead_matmul_node = g->CreateOpNode(&desc); | ||
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| IR_NODE_LINK_TO(multihead_matmul_input, sparse_multihead_matmul_node); | ||
| IR_NODE_LINK_TO(multihead_matmul_weights, sparse_multihead_matmul_node); | ||
| IR_NODE_LINK_TO(multihead_matmul_bias, sparse_multihead_matmul_node); | ||
| IR_NODE_LINK_TO(multihead_matmul_biasqk, sparse_multihead_matmul_node); | ||
| IR_NODE_LINK_TO(sparse_multihead_matmul_node, multihead_matmul_out); | ||
| found_multihead_matmul_count++; | ||
| } | ||
| }; | ||
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| gpd(graph, handler); | ||
| AddStatis(found_multihead_matmul_count); | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| REGISTER_PASS(replace_dense_multihead_matmul_with_sparse_pass, | ||
| paddle::framework::ir::ReplaceDenseMultiheadMatmulWithSparsePass); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| /* Copyright (c) 2022 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. */ | ||
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| #pragma once | ||
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| #include <string> | ||
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| #include "paddle/fluid/framework/ir/fuse_pass_base.h" | ||
| #include "paddle/fluid/framework/ir/graph.h" | ||
| #include "paddle/fluid/framework/ir/graph_pattern_detector.h" | ||
| #include "paddle/fluid/inference/api/paddle_analysis_config.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| /** | ||
| * Replace dense multihead_matmul op with sparse multihead_matmul op | ||
| */ | ||
| class Graph; | ||
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| class ReplaceDenseMultiheadMatmulWithSparsePass : public FusePassBase { | ||
| public: | ||
| ReplaceDenseMultiheadMatmulWithSparsePass(); | ||
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| protected: | ||
| void ApplyImpl(ir::Graph* graph) const override; | ||
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| const std::string name_scope_{ | ||
| "replace_dense_multihead_matmul_with_sparse_pass"}; | ||
| }; | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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把replace_dense_with_sparse_pass改成replace_dense_fc_with_sparse_pass或者把replace_dense_multihead_matmul_with_sparse_pass合入到replace_dense_with_sparse_pass。
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replace_dense_with_sparse_pass -> replace_dense_fc_with_sparse_pass