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84 lines
2.8 KiB
84 lines
2.8 KiB
// Copyright (c) 2018 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 <memory>
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#include <string>
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#include "paddle/fluid/framework/ir/fillconstant_elementwisemul_fuse.h"
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#include "paddle/fluid/framework/ir/graph_viz_pass.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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#define GET_IR_NODE(node__) GET_IR_NODE_FROM_SUBGRAPH(node__, node__, pattern);
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#define GET_NODES \
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GET_IR_NODE(fill_constant); \
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GET_IR_NODE(fill_constant_out); \
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GET_IR_NODE(elementwise_mul); \
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GET_IR_NODE(elementwise_mul_out);
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void FillconstantElementwisemulFuse::ApplyImpl(ir::Graph* graph) const {
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const std::string pattern_name = "fillconstant_elementwisemul_fuse";
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FusePassBase::Init(pattern_name, graph);
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GraphPatternDetector gpd;
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auto* x = gpd.mutable_pattern()
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->NewNode("x")
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->assert_is_op_input("elementwise_mul", "X")
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->AsInput();
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patterns::FillConstantElementWiseMulFuse pattern(gpd.mutable_pattern(),
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pattern_name);
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pattern(x);
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auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
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Graph* g) {
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GET_NODES;
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PADDLE_ENFORCE(subgraph.count(x));
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auto* elementwise_in = subgraph.at(x);
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float constant_value =
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boost::get<float>(fill_constant->Op()->GetAttr("value"));
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framework::OpDesc new_op_desc;
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new_op_desc.SetType("scale");
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new_op_desc.SetInput("X", {elementwise_in->Name()});
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new_op_desc.SetAttr("scale", constant_value);
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new_op_desc.SetAttr("bias", static_cast<float>(0.0));
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new_op_desc.SetAttr("bias_after_scale", true);
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new_op_desc.SetOutput("Out", {elementwise_mul_out->Name()});
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new_op_desc.Flush();
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// Create a new node for the fused op.
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auto* scale_op = graph->CreateOpNode(&new_op_desc);
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IR_NODE_LINK_TO(elementwise_in, scale_op); // Input
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IR_NODE_LINK_TO(scale_op, elementwise_mul_out); // Output
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// Delete the unneeded nodes.
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GraphSafeRemoveNodes(graph,
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{fill_constant, fill_constant_out, elementwise_mul});
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};
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gpd(graph, handler);
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}
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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REGISTER_PASS(fillconstant_elementwisemul_fuse,
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paddle::framework::ir::FillconstantElementwisemulFuse);
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