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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. | ||
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#include <string> | ||
#include "paddle/fluid/framework/ir/pass.h" | ||
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namespace phi { | ||
class DenseTensor; | ||
} // namespace phi | ||
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namespace paddle { | ||
namespace framework { | ||
class Scope; | ||
} // namespace framework | ||
} // namespace paddle | ||
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namespace paddle { | ||
namespace framework { | ||
namespace ir { | ||
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// "op_device" attr is only used in model training. "op_device" attr will change | ||
// place of op kernel, so we use "delete_op_device_pass" to remove it. | ||
class DeleteOpDevicePass : public Pass { | ||
protected: | ||
void ApplyImpl(ir::Graph* graph) const override; | ||
}; | ||
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void DeleteOpDevicePass::ApplyImpl(ir::Graph* graph) const { | ||
PADDLE_ENFORCE_NOT_NULL( | ||
graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
int found_subgraph_count = 0; | ||
for (auto* node : graph->Nodes()) { | ||
if (!node->IsOp() || !node->Op()->HasAttr("op_device")) continue; | ||
node->Op()->RemoveAttr("op_device"); | ||
found_subgraph_count++; | ||
} | ||
if (found_subgraph_count > 0) { | ||
LOG(INFO) << "--- detected " << found_subgraph_count << " subgraphs"; | ||
} | ||
} | ||
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} // namespace ir | ||
} // namespace framework | ||
} // namespace paddle | ||
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REGISTER_PASS(delete_op_device_pass, paddle::framework::ir::DeleteOpDevicePass); |
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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. | ||
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#include <gtest/gtest.h> | ||
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#include "paddle/fluid/framework/ir/delete_dropout_op_pass.h" | ||
#include "paddle/fluid/framework/ir/pass_tester_helper.h" | ||
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namespace paddle { | ||
namespace framework { | ||
namespace ir { | ||
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TEST(delete_op_device_pass, relu) { | ||
ProgramDesc program; | ||
auto* x_var = program.MutableBlock(0)->Var("relu_x"); | ||
auto* out_var = program.MutableBlock(0)->Var("relu_out"); | ||
OpDesc* relu_op = program.MutableBlock(0)->AppendOp(); | ||
relu_op->SetType("relu"); | ||
relu_op->SetInput("X", {x_var->Name()}); | ||
relu_op->SetOutput("Out", {out_var->Name()}); | ||
relu_op->SetAttr("op_device", std::string{"gpu:0"}); | ||
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std::unique_ptr<Graph> graph(new Graph(program)); | ||
auto pass = PassRegistry::Instance().Get("delete_op_device_pass"); | ||
graph.reset(pass->Apply(graph.release())); | ||
for (auto* node : graph->Nodes()) { | ||
if (!node->IsOp()) continue; | ||
if (node->Op()->Type() == "relu") { | ||
PADDLE_ENFORCE(!node->Op()->HasAttr("op_device"), | ||
platform::errors::InvalidArgument( | ||
"Run delete_op_device_pass failed. Relu op still has " | ||
"'op_device' attr.")); | ||
} | ||
} | ||
} | ||
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} // namespace ir | ||
} // namespace framework | ||
} // namespace paddle | ||
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USE_PASS(delete_op_device_pass); |
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