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infer shape pass and avg shard pass (PaddlePaddle#165)
* infer shape pass and avg shard pass * rm useless test
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2021 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/ipu/avg_shard_pass.h" | ||
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| #include "paddle/fluid/framework/ipu/ipu_backend.h" | ||
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| #include "paddle/fluid/framework/ir/graph_helper.h" | ||
| #include "paddle/fluid/framework/ir/pass_tester_helper.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| void AvgShardPass::ApplyImpl(ir::Graph* graph) const { | ||
| VLOG(10) << "enter AvgShardPass::ApplyImpl"; | ||
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| std::shared_ptr<ipu::IpuBackend> ipu_backend = ipu::IpuBackend::GetInstance(); | ||
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| if (ipu_backend->GetIpuStrategy()->need_avg_shard) { | ||
| VLOG(10) << "start AvgShardPass"; | ||
| auto nodes = ir::TopologySortOperations(*graph); | ||
| auto num_ipus = ipu_backend->GetIpuStrategy()->num_ipus; | ||
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| int shard_position = nodes.size() / num_ipus; | ||
| int index_and_stage = -1; | ||
| for (int i = 0; i < nodes.size(); i++) { | ||
| if ((i % shard_position) == 0 && index_and_stage < num_ipus - 1) { | ||
| index_and_stage++; | ||
| } | ||
| nodes[i]->Op()->SetAttr("ipu_index", index_and_stage); | ||
| nodes[i]->Op()->SetAttr("ipu_stage", index_and_stage); | ||
| } | ||
| VLOG(10) << "end AvgShardPass"; | ||
| } | ||
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| VLOG(10) << "leave AvgShardPass::ApplyImpl"; | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| REGISTER_PASS(avg_shard_pass, paddle::framework::ir::AvgShardPass); |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,30 @@ | ||
| // Copyright (c) 2021 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 "paddle/fluid/framework/ir/ipu/ipu_pass_base.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| class AvgShardPass : public IPUPassBase { | ||
| protected: | ||
| void ApplyImpl(ir::Graph* graph) const override; | ||
| }; | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,102 @@ | ||
| // Copyright (c) 2021 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/ipu/infer_shape_pass.h" | ||
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| #include "paddle/fluid/framework/ddim.h" | ||
| #include "paddle/fluid/framework/ipu/ipu_backend.h" | ||
| #include "paddle/fluid/framework/ir/graph_helper.h" | ||
| #include "paddle/fluid/framework/ir/pass_tester_helper.h" | ||
| #include "paddle/fluid/framework/op_registry.h" | ||
| #include "paddle/fluid/framework/variable_helper.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| void InferShapePass::ApplyImpl(ir::Graph* graph) const { | ||
| VLOG(10) << "enter InferShapePass::ApplyImpl"; | ||
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| // graph_viz_pass | ||
| // auto graph_viz_pass = PassRegistry::Instance().Get("graph_viz_pass"); | ||
| // graph_viz_pass->Set("graph_viz_path", | ||
| // new std::string("before_pass.dot")); | ||
| // graph_viz_pass->Apply(graph); | ||
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| std::shared_ptr<ipu::IpuBackend> ipu_backend = ipu::IpuBackend::GetInstance(); | ||
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| if (ipu_backend->GetIpuStrategy()->need_infer_shape) { | ||
| VLOG(10) << "start InferShapePass"; | ||
| // temp scope for shape inference | ||
| std::shared_ptr<paddle::framework::Scope> scope( | ||
| new paddle::framework::Scope()); | ||
| for (auto node : graph->Nodes()) { | ||
| if (!node->IsVar()) { | ||
| continue; | ||
| } | ||
| auto var_desc = node->Var(); | ||
| auto* ptr = scope->Var(var_desc->Name()); | ||
| paddle::framework::InitializeVariable(ptr, var_desc->GetType()); | ||
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| auto tensor = ptr->GetMutable<paddle::framework::LoDTensor>(); | ||
| tensor->Resize(paddle::framework::make_ddim(var_desc->GetShape())); | ||
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| // skip lowerWeights in IpuBackend if persistable node has inputs | ||
| if (var_desc->Persistable() && node->inputs.size()) { | ||
| var_desc->SetPersistable(false); | ||
| } | ||
| } | ||
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| // infer shape | ||
| auto nodes = ir::TopologySortOperations(*graph); | ||
| for (auto node : nodes) { | ||
| auto op_desc = node->Op(); | ||
| auto op = paddle::framework::OpRegistry::CreateOp(*op_desc); | ||
| paddle::framework::RuntimeContext ctx(op->Inputs(), op->Outputs(), | ||
| *scope); | ||
| op->RuntimeInferShape(*scope, paddle::platform::CPUPlace(), ctx); | ||
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| for (auto it = ctx.outputs.begin(); it != ctx.outputs.end(); it++) { | ||
| for (int i = 0; i < it->second.size(); i++) { | ||
| auto output_name = op_desc->Output(it->first)[i]; | ||
| auto dim = | ||
| it->second[i]->GetMutable<paddle::framework::LoDTensor>()->dims(); | ||
| auto new_shape = paddle::framework::vectorize(dim); | ||
| for (auto output_node : node->outputs) { | ||
| if (output_node->Name() == output_name) { | ||
| output_node->Var()->SetShape(new_shape); | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| // release the temp scope | ||
| scope.reset(); | ||
| VLOG(10) << "end InferShapePass"; | ||
| } | ||
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| // graph_viz_pass | ||
| // graph_viz_pass->Erase("graph_viz_path"); | ||
| // graph_viz_pass->Set("graph_viz_path", | ||
| // new std::string("after_pass.dot")); | ||
| // graph_viz_pass->Apply(graph); | ||
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| VLOG(10) << "leave InferShapePass::ApplyImpl"; | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| REGISTER_PASS(infer_shape_pass, paddle::framework::ir::InferShapePass); |
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