From 9b11a175025cce59f0ba362f53f0c39f3bf35490 Mon Sep 17 00:00:00 2001 From: Tao Luo Date: Thu, 11 Oct 2018 11:54:59 +0800 Subject: [PATCH] Revert "[MKLDNN] Pass: Fuse Conv + Bias" --- paddle/fluid/framework/ir/CMakeLists.txt | 6 +- .../ir/conv_bias_mkldnn_fuse_pass.cc | 78 ------------- .../framework/ir/conv_bias_mkldnn_fuse_pass.h | 34 ------ .../ir/conv_bias_mkldnn_fuse_pass_tester.cc | 106 ------------------ .../framework/ir/graph_pattern_detector.cc | 32 ------ .../framework/ir/graph_pattern_detector.h | 21 ---- paddle/fluid/inference/analysis/analyzer.h | 1 - 7 files changed, 2 insertions(+), 276 deletions(-) delete mode 100644 paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.cc delete mode 100644 paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.h delete mode 100644 paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass_tester.cc diff --git a/paddle/fluid/framework/ir/CMakeLists.txt b/paddle/fluid/framework/ir/CMakeLists.txt index 79390e9321c..796ce1f91ce 100644 --- a/paddle/fluid/framework/ir/CMakeLists.txt +++ b/paddle/fluid/framework/ir/CMakeLists.txt @@ -30,7 +30,6 @@ pass_library(graph_to_program_pass base) pass_library(graph_viz_pass base) pass_library(fc_fuse_pass inference) if (WITH_MKLDNN) - pass_library(conv_bias_mkldnn_fuse_pass inference) pass_library(conv_relu_mkldnn_fuse_pass inference) endif () pass_library(attention_lstm_fuse_pass inference) @@ -53,7 +52,6 @@ cc_test(graph_helper_test SRCS graph_helper_test.cc DEPS graph graph_helper op_r cc_test(graph_to_program_pass_test SRCS graph_to_program_pass_test.cc DEPS graph_to_program_pass) cc_test(test_graph_pattern_detector SRCS graph_pattern_detector_tester.cc DEPS graph_pattern_detector) cc_test(test_fc_fuse_pass SRCS fc_fuse_pass_tester.cc DEPS fc_fuse_pass framework_proto) -if(WITH_MKLDNN) - cc_test(test_conv_bias_mkldnn_fuse_pass SRCS conv_bias_mkldnn_fuse_pass_tester.cc DEPS conv_bias_mkldnn_fuse_pass) +if (WITH_MKLDNN) cc_test(test_conv_relu_mkldnn_fuse_pass SRCS conv_relu_mkldnn_fuse_pass_tester.cc DEPS conv_relu_mkldnn_fuse_pass) -endif() +endif () diff --git a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.cc deleted file mode 100644 index d0bd09a4f69..00000000000 --- a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.cc +++ /dev/null @@ -1,78 +0,0 @@ -// 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_bias_mkldnn_fuse_pass.h" -#include -#include -#include "paddle/fluid/platform/enforce.h" -namespace paddle { -namespace framework { -namespace ir { -std::unique_ptr ConvBiasFusePass::ApplyImpl( - std::unique_ptr graph) const { - PADDLE_ENFORCE(graph.get()); - FusePassBase::Init("conv_bias_mkldnn_fuse", graph.get()); - GraphPatternDetector gpd; - auto* conv_input = gpd.mutable_pattern() - ->NewNode("conv_bias_mkldnn_fuse/conv_input") - ->AsInput() - ->assert_is_op_input("conv2d", "Input"); - patterns::ConvBias conv_bias_pattern(gpd.mutable_pattern(), - "conv_bias_mkldnn_fuse"); - conv_bias_pattern(conv_input); - int found_conv_bias_count = 0; - auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph, - Graph* g) { - VLOG(4) << "handle ConvBias fuse"; - GET_IR_NODE_FROM_SUBGRAPH(conv_weight, conv_weight, - conv_bias_pattern); // Filter - GET_IR_NODE_FROM_SUBGRAPH(conv_out, conv_out, conv_bias_pattern); // tmp - GET_IR_NODE_FROM_SUBGRAPH(conv, conv, conv_bias_pattern); // CONV op - // bias - GET_IR_NODE_FROM_SUBGRAPH(eltwise_bias, eltwise_bias, conv_bias_pattern); - // output - GET_IR_NODE_FROM_SUBGRAPH(eltwise_out, eltwise_out, conv_bias_pattern); - // elementwise_add op - GET_IR_NODE_FROM_SUBGRAPH(eltwise, eltwise, conv_bias_pattern); - // Create an ConvBias Node. - OpDesc desc; - std::string conv_bias_i_in = subgraph.at(conv_input)->Name(); - std::string conv_bias_w_in = conv_weight->Name(); - std::string conv_bias_b_in = eltwise_bias->Name(); - std::string conv_bias_out = eltwise_out->Name(); - desc.SetInput("Input", std::vector({conv_bias_i_in})); - desc.SetInput("Filter", std::vector({conv_bias_w_in})); - desc.SetInput("Bias", std::vector({conv_bias_b_in})); - desc.SetOutput("Output", std::vector({conv_bias_out})); - desc.SetType("conv2d"); - for (auto& attr : conv->Op()->GetAttrMap()) { - desc.SetAttr(attr.first, attr.second); - } - auto conv_bias_node = g->CreateOpNode(&desc); // OpDesc will be copied. - GraphSafeRemoveNodes(graph.get(), {conv, eltwise, conv_out}); - PADDLE_ENFORCE(subgraph.count(conv_input)); - IR_NODE_LINK_TO(subgraph.at(conv_input), conv_bias_node); - IR_NODE_LINK_TO(conv_weight, conv_bias_node); - IR_NODE_LINK_TO(eltwise_bias, conv_bias_node); - IR_NODE_LINK_TO(conv_bias_node, eltwise_out); - found_conv_bias_count++; - }; - gpd(graph.get(), handler); - AddStatis(found_conv_bias_count); - return graph; -} -} // namespace ir -} // namespace framework -} // namespace paddle -REGISTER_PASS(conv_bias_mkldnn_fuse_pass, - paddle::framework::ir::ConvBiasFusePass); diff --git a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.h deleted file mode 100644 index 187453b2a69..00000000000 --- a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass.h +++ /dev/null @@ -1,34 +0,0 @@ -// 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 Elementwise_add to a ConvBiasOp. -*/ -class ConvBiasFusePass : public FusePassBase { - public: - virtual ~ConvBiasFusePass() {} - - protected: - std::unique_ptr ApplyImpl(std::unique_ptr graph) const; -}; -} // namespace ir -} // namespace framework -} // namespace paddle diff --git a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass_tester.cc b/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass_tester.cc deleted file mode 100644 index 50fc62c1734..00000000000 --- a/paddle/fluid/framework/ir/conv_bias_mkldnn_fuse_pass_tester.cc +++ /dev/null @@ -1,106 +0,0 @@ -// 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_bias_mkldnn_fuse_pass.h" - -#include - -namespace paddle { -namespace framework { -namespace ir { - -void SetOp(ProgramDesc* prog, const std::string& type, - const std::vector& inputs, - const std::vector& 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]}); - } else if (type == "elementwise_add") { - op->SetInput("X", {inputs[0]}); - op->SetInput("Y", {inputs[1]}); - } - op->SetOutput("Out", outputs); -} - -// a->OP0->b -// b->OP1->c -// (c, weights)->conv->f -// (f, bias)->elementwise_add->g -ProgramDesc BuildProgramDesc() { - ProgramDesc prog; - for (auto& v : - std::vector({"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({"a"}), - std::vector({"b"})); - SetOp(&prog, "OP1", std::vector({"b"}), - std::vector({"c"})); - SetOp(&prog, "conv2d", std::vector({"c", "weights"}), - std::vector({"f"})); - SetOp(&prog, "elementwise_add", std::vector({"f", "bias"}), - std::vector({"g"})); - - return prog; -} - -TEST(ConvBiasFusePass, basic) { - auto prog = BuildProgramDesc(); - - std::unique_ptr graph(new ir::Graph(prog)); - - auto pass = PassRegistry::Instance().Get("conv_bias_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, elementwise_add, conv_out - // Add 1 Node: ConvBias - EXPECT_EQ(original_nodes_num - 2, current_nodes_num); - - // Assert conv_bias op in newly generated graph - int conv_bias_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(node->Op()->GetAttr("use_mkldnn")); - if (use_mkldnn) { - auto names = node->Op()->InputNames(); - if (std::find(names.begin(), names.end(), "Bias") != names.end()) { - conv_bias_count++; - } - } - } - } - } - EXPECT_EQ(conv_bias_count, 1); -} - -} // namespace ir -} // namespace framework -} // namespace paddle - -USE_PASS(conv_bias_mkldnn_fuse_pass); diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.cc b/paddle/fluid/framework/ir/graph_pattern_detector.cc index a8364cc05f9..8625b562e7d 100644 --- a/paddle/fluid/framework/ir/graph_pattern_detector.cc +++ b/paddle/fluid/framework/ir/graph_pattern_detector.cc @@ -964,38 +964,6 @@ PDNode *patterns::ElewiseAddActInplaceGrad::operator()( return ele_add_grad; } -PDNode *patterns::ConvBias::operator()( - paddle::framework::ir::PDNode *conv_input) { - // Create Operators - conv_input->assert_is_op_input("conv2d", "Input"); - auto *conv_op = pattern->NewNode(conv_repr())->assert_is_op("conv2d"); - auto *eltiwse_op = - pattern->NewNode(eltwise_repr())->assert_is_op("elementwise_add"); - // Create variables - // Filter - auto *conv_weight_var = pattern->NewNode(conv_weight_repr()) - ->AsInput() - ->assert_is_persistable_var() - ->assert_is_op_input("conv2d", "Filter"); - // intermediate variable, will be removed in the IR after fuse. - auto *conv_out_var = pattern->NewNode(conv_out_repr()) - ->AsIntermediate() - ->assert_is_only_output_of_op("conv2d") - ->assert_is_op_input("elementwise_add"); - // Bias stored in elementwise_add - auto *eltwise_bias_var = pattern->NewNode(eltwise_bias_repr()) - ->AsInput() - ->assert_is_op_input("elementwise_add", "Y"); - // output - auto *eltwise_out_var = pattern->NewNode(eltwise_out_repr()) - ->AsOutput() - ->assert_is_op_output("elementwise_add"); - conv_op->LinksFrom({conv_input, conv_weight_var}).LinksTo({conv_out_var}); - eltiwse_op->LinksFrom({conv_out_var, eltwise_bias_var}) - .LinksTo({eltwise_out_var}); - return eltwise_out_var; -} - } // namespace ir } // namespace framework } // namespace paddle diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.h b/paddle/fluid/framework/ir/graph_pattern_detector.h index 9dfd7046ca4..cdd6413d968 100644 --- a/paddle/fluid/framework/ir/graph_pattern_detector.h +++ b/paddle/fluid/framework/ir/graph_pattern_detector.h @@ -578,27 +578,6 @@ struct ElewiseAddActInplaceGrad : public PatternBase { PATTERN_DECL_NODE(d_ele_y); PATTERN_DECL_NODE(ele_y); }; - -// Conv with Elementwise_add as bias -// op: conv + elementwise_add -// named nodes: -// conv_input, conv_weight, -// conv_out, conv, -// eltwise_bias, eltwise_out, -// elementwise_add -struct ConvBias : public PatternBase { - ConvBias(PDPattern* pattern, const std::string& name_scope) - : PatternBase(pattern, name_scope, "conv_bias") {} - PDNode* operator()(PDNode* conv_input); - // declare operator node's name - PATTERN_DECL_NODE(conv); - PATTERN_DECL_NODE(eltwise); - // declare variable node's name - PATTERN_DECL_NODE(conv_weight); - PATTERN_DECL_NODE(conv_out); - PATTERN_DECL_NODE(eltwise_bias); - PATTERN_DECL_NODE(eltwise_out); -}; } // namespace patterns // Link two ir::Nodes from each other. diff --git a/paddle/fluid/inference/analysis/analyzer.h b/paddle/fluid/inference/analysis/analyzer.h index e7d9cb89949..765145cb7da 100644 --- a/paddle/fluid/inference/analysis/analyzer.h +++ b/paddle/fluid/inference/analysis/analyzer.h @@ -76,7 +76,6 @@ class Analyzer : public OrderedRegistry { "conv_bn_fuse_pass", // "conv_eltwiseadd_bn_fuse_pass", // #ifdef PADDLE_WITH_MKLDNN - "conv_bias_mkldnn_fuse_pass", // "conv_relu_mkldnn_fuse_pass", // #endif }}; -- GitLab