wehub-resource-sync
52 lines
1.7 KiB
C++
52 lines
1.7 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <string>
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#include "paddle/fluid/framework/ir/pass.h"
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namespace phi {
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class DenseTensor;
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} // namespace phi
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namespace paddle::framework {
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class Scope;
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} // namespace paddle::framework
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namespace paddle::framework::ir {
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// "op_device" attr is only used in model training. "op_device" attr will change
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// place of op kernel, so we use "delete_op_device_pass" to remove it.
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class DeleteOpDevicePass : public Pass {
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protected:
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void ApplyImpl(ir::Graph* graph) const override;
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};
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void DeleteOpDevicePass::ApplyImpl(ir::Graph* graph) const {
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PADDLE_ENFORCE_NOT_NULL(
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graph, common::errors::PreconditionNotMet("graph should not be null."));
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int delete_counts = 0;
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for (auto* node : graph->Nodes()) {
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if (!node->IsOp() || !node->Op()->HasAttr("op_device")) continue;
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node->Op()->RemoveAttr("op_device");
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delete_counts++;
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}
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if (delete_counts > 0) {
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LOG(INFO) << "--- delete " << delete_counts << " op_device attr";
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}
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}
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} // namespace paddle::framework::ir
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REGISTER_PASS(delete_op_device_pass, paddle::framework::ir::DeleteOpDevicePass);
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