dzhwinter
7 years ago
commit
fd9dc75fc2
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
@ -0,0 +1,90 @@
|
||||
// Copyright (c) 2018 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.
|
||||
|
||||
#include "paddle/fluid/framework/ir/conv_relu_mkldnn_fuse_pass.h"
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include "paddle/fluid/platform/enforce.h"
|
||||
|
||||
namespace paddle {
|
||||
namespace framework {
|
||||
namespace ir {
|
||||
|
||||
std::unique_ptr<ir::Graph> ConvReLUFusePass::ApplyImpl(
|
||||
std::unique_ptr<ir::Graph> graph) const {
|
||||
PADDLE_ENFORCE(graph.get());
|
||||
FusePassBase::Init("conv_relu_mkldnn_fuse", graph.get());
|
||||
|
||||
std::unordered_set<Node*> nodes2delete;
|
||||
|
||||
GraphPatternDetector gpd;
|
||||
auto* conv_input = gpd.mutable_pattern()
|
||||
->NewNode("conv_relu_mkldnn_fuse/conv_input")
|
||||
->AsInput()
|
||||
->assert_is_op_input("conv2d", "Input");
|
||||
patterns::ConvReLU conv_relu_pattern(gpd.mutable_pattern(),
|
||||
"conv_relu_mkldnn_fuse");
|
||||
conv_relu_pattern(conv_input);
|
||||
|
||||
int found_conv_relu_count = 0;
|
||||
auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
|
||||
Graph* g) {
|
||||
VLOG(4) << "handle ConvReLU fuse";
|
||||
GET_IR_NODE_FROM_SUBGRAPH(conv_weight, conv_weight,
|
||||
conv_relu_pattern); // Filter
|
||||
GET_IR_NODE_FROM_SUBGRAPH(conv_bias, conv_bias, conv_relu_pattern); // Bias
|
||||
GET_IR_NODE_FROM_SUBGRAPH(conv_out, conv_out, conv_relu_pattern); // tmp
|
||||
GET_IR_NODE_FROM_SUBGRAPH(conv, conv, conv_relu_pattern); // CONV op
|
||||
GET_IR_NODE_FROM_SUBGRAPH(relu_out, relu_out, conv_relu_pattern); // Out
|
||||
GET_IR_NODE_FROM_SUBGRAPH(relu, relu, conv_relu_pattern); // ReLU op
|
||||
|
||||
// Create an ConvReLU Node.
|
||||
OpDesc desc;
|
||||
std::string conv_relu_i_in = subgraph.at(conv_input)->Name();
|
||||
std::string conv_relu_w_in = conv_weight->Name();
|
||||
std::string conv_relu_b_in = conv_bias->Name();
|
||||
std::string conv_relu_out = relu_out->Name();
|
||||
desc.SetInput("Input", std::vector<std::string>({conv_relu_i_in}));
|
||||
desc.SetInput("Filter", std::vector<std::string>({conv_relu_w_in}));
|
||||
desc.SetInput("Bias", std::vector<std::string>({conv_relu_b_in}));
|
||||
desc.SetOutput("Output", std::vector<std::string>({conv_relu_out}));
|
||||
desc.SetType("conv2d");
|
||||
for (auto& attr : conv->Op()->GetAttrMap()) {
|
||||
desc.SetAttr(attr.first, attr.second);
|
||||
}
|
||||
desc.SetAttr("fuse_relu", true);
|
||||
auto conv_relu_node = g->CreateOpNode(&desc); // OpDesc will be copied.
|
||||
GraphSafeRemoveNodes(graph.get(), {conv, relu, conv_out});
|
||||
|
||||
PADDLE_ENFORCE(subgraph.count(conv_input));
|
||||
IR_NODE_LINK_TO(subgraph.at(conv_input), conv_relu_node);
|
||||
IR_NODE_LINK_TO(conv_weight, conv_relu_node);
|
||||
IR_NODE_LINK_TO(conv_bias, conv_relu_node);
|
||||
IR_NODE_LINK_TO(conv_relu_node, relu_out);
|
||||
|
||||
found_conv_relu_count++;
|
||||
};
|
||||
|
||||
gpd(graph.get(), handler);
|
||||
|
||||
AddStatis(found_conv_relu_count);
|
||||
return graph;
|
||||
}
|
||||
|
||||
} // namespace ir
|
||||
} // namespace framework
|
||||
} // namespace paddle
|
||||
|
||||
REGISTER_PASS(conv_relu_mkldnn_fuse_pass,
|
||||
paddle::framework::ir::ConvReLUFusePass);
|
||||
@ -0,0 +1,39 @@
|
||||
// Copyright (c) 2018 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.
|
||||
|
||||
#pragma once
|
||||
|
||||
#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/framework/ir/pass.h"
|
||||
|
||||
namespace paddle {
|
||||
namespace framework {
|
||||
namespace ir {
|
||||
|
||||
/*
|
||||
* Fuse the CONV and ReLU to a ConvReLUOp.
|
||||
*/
|
||||
class ConvReLUFusePass : public FusePassBase {
|
||||
public:
|
||||
virtual ~ConvReLUFusePass() {}
|
||||
|
||||
protected:
|
||||
std::unique_ptr<ir::Graph> ApplyImpl(std::unique_ptr<ir::Graph> graph) const;
|
||||
};
|
||||
|
||||
} // namespace ir
|
||||
} // namespace framework
|
||||
} // namespace paddle
|
||||
@ -0,0 +1,108 @@
|
||||
// Copyright (c) 2018 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.
|
||||
|
||||
#include "paddle/fluid/framework/ir/conv_relu_mkldnn_fuse_pass.h"
|
||||
|
||||
#include <gtest/gtest.h>
|
||||
|
||||
namespace paddle {
|
||||
namespace framework {
|
||||
namespace ir {
|
||||
|
||||
void SetOp(ProgramDesc* prog, const std::string& type,
|
||||
const std::vector<std::string>& inputs,
|
||||
const std::vector<std::string>& outputs) {
|
||||
auto* op = prog->MutableBlock(0)->AppendOp();
|
||||
op->SetType(type);
|
||||
if (type == "conv2d") {
|
||||
op->SetAttr("use_mkldnn", true);
|
||||
op->SetInput("Input", {inputs[0]});
|
||||
op->SetInput("Filter", {inputs[1]});
|
||||
op->SetInput("Bias", {inputs[2]});
|
||||
} else if (type == "relu") {
|
||||
op->SetInput("X", inputs);
|
||||
}
|
||||
op->SetOutput("Out", outputs);
|
||||
}
|
||||
|
||||
// a->OP0->b
|
||||
// b->OP1->c
|
||||
// (c, weights, bias)->conv->f
|
||||
// (f)->relu->g
|
||||
ProgramDesc BuildProgramDesc() {
|
||||
ProgramDesc prog;
|
||||
for (auto& v :
|
||||
std::vector<std::string>({"a", "b", "c", "weights", "bias", "f", "g"})) {
|
||||
auto* var = prog.MutableBlock(0)->Var(v);
|
||||
var->SetType(proto::VarType::SELECTED_ROWS);
|
||||
if (v == "weights" || v == "bias") {
|
||||
var->SetPersistable(true);
|
||||
}
|
||||
}
|
||||
|
||||
SetOp(&prog, "OP0", std::vector<std::string>({"a"}),
|
||||
std::vector<std::string>({"b"}));
|
||||
SetOp(&prog, "OP1", std::vector<std::string>({"b"}),
|
||||
std::vector<std::string>({"c"}));
|
||||
SetOp(&prog, "conv2d", std::vector<std::string>({"c", "weights", "bias"}),
|
||||
std::vector<std::string>({"f"}));
|
||||
SetOp(&prog, "relu", std::vector<std::string>({"f"}),
|
||||
std::vector<std::string>({"g"}));
|
||||
|
||||
return prog;
|
||||
}
|
||||
|
||||
TEST(ConvReLUFusePass, basic) {
|
||||
auto prog = BuildProgramDesc();
|
||||
|
||||
std::unique_ptr<ir::Graph> graph(new ir::Graph(prog));
|
||||
|
||||
auto pass = PassRegistry::Instance().Get("conv_relu_mkldnn_fuse_pass");
|
||||
|
||||
int original_nodes_num = graph->Nodes().size();
|
||||
|
||||
graph = pass->Apply(std::move(graph));
|
||||
|
||||
int current_nodes_num = graph->Nodes().size();
|
||||
|
||||
// Remove 3 Nodes: CONV, RELU, conv_out
|
||||
// Add 1 Node: ConvReLU
|
||||
EXPECT_EQ(original_nodes_num - 2, current_nodes_num);
|
||||
|
||||
// Assert conv_relu op in newly generated graph
|
||||
int conv_relu_count = 0;
|
||||
|
||||
for (auto* node : graph->Nodes()) {
|
||||
if (node->IsOp() && node->Op()->Type() == "conv2d") {
|
||||
if (node->Op()->HasAttr("use_mkldnn")) {
|
||||
bool use_mkldnn = boost::get<bool>(node->Op()->GetAttr("use_mkldnn"));
|
||||
if (use_mkldnn) {
|
||||
if (node->Op()->HasAttr("fuse_relu")) {
|
||||
bool fuse_relu = boost::get<bool>(node->Op()->GetAttr("fuse_relu"));
|
||||
if (fuse_relu) {
|
||||
++conv_relu_count;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
EXPECT_EQ(conv_relu_count, 1);
|
||||
}
|
||||
|
||||
} // namespace ir
|
||||
} // namespace framework
|
||||
} // namespace paddle
|
||||
|
||||
USE_PASS(conv_relu_mkldnn_fuse_pass);
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in new issue