Fix anakin subgraph shufflenet

paddle/fluid/framework/ir/CMakeLists.txt

@@ -70,6 +70,7 @@ pass_library(sync_batch_norm_pass base)
 pass_library(runtime_context_cache_pass base)
 pass_library(quant_conv2d_dequant_fuse_pass inference)
 pass_library(fillconstant_elementwisemul_fuse inference)
+pass_library(shuffle_channel_detect_pass inference)
 
 if(ANAKIN_FOUND)
 pass_library(simplify_anakin_priorbox_detection_out_pass inference)

paddle/fluid/framework/ir/graph_pattern_detector.cc

@@ -1706,6 +1706,37 @@ void patterns::QuantDequantOpFuse::operator()(PDNode *quant_op_input,
   }
 }
 
+void patterns::ShuffleChannelPattern::operator()(PDNode *reshape1_in) {
+  auto reshape1_op =
+      pattern->NewNode(reshape1_op_repr())->assert_is_op("reshape2");
+
+  auto reshape1_out = pattern->NewNode(reshape1_out_repr())
+                          ->assert_is_op_output("reshape2", "Out")
+                          ->assert_is_op_input("transpose2")
+                          ->AsIntermediate();
+
+  auto transpose_op =
+      pattern->NewNode(transpose_op_repr())->assert_is_op("transpose2");
+
+  auto transpose_out = pattern->NewNode(transpose_out_repr())
+                           ->assert_is_op_output("transpose2", "Out")
+                           ->assert_is_op_input("reshape2")
+                           ->AsIntermediate();
+
+  auto reshape2_op =
+      pattern->NewNode(reshape2_op_repr())->assert_is_op("reshape2");
+  auto reshape2_out = pattern->NewNode(reshape2_out_repr())
+                          ->assert_is_op_output("reshape2", "Out")
+                          ->AsOutput();
+
+  reshape1_op->LinksFrom({reshape1_in});
+  reshape1_out->LinksFrom({reshape1_op});
+  transpose_op->LinksFrom({reshape1_out});
+  transpose_out->LinksFrom({transpose_op});
+  reshape2_op->LinksFrom({transpose_out});
+  reshape2_out->LinksFrom({reshape2_op});
+}
+
 }  // namespace ir
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/ir/graph_pattern_detector.h

@@ -892,6 +892,21 @@ struct QuantDequantOpFuse : public PatternBase {
   }
 };
 
+struct ShuffleChannelPattern : public PatternBase {
+  ShuffleChannelPattern(PDPattern* pattern, const std::string& name_scope)
+      : PatternBase(pattern, name_scope, "shufflechannel_pattern") {}
+
+  void operator()(PDNode* reshape1_in);
+
+  PATTERN_DECL_NODE(reshape1_op);
+  PATTERN_DECL_NODE(reshape1_out);
+
+  PATTERN_DECL_NODE(transpose_op);
+  PATTERN_DECL_NODE(transpose_out);
+  PATTERN_DECL_NODE(reshape2_op);
+  PATTERN_DECL_NODE(reshape2_out);
+};
+
 }  // namespace patterns
 
 // Link two ir::Nodes from each other.

paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc

@@ -0,0 +1,93 @@
+// 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 <string>
+
+#include "paddle/fluid/framework/ir/graph_viz_pass.h"
+#include "paddle/fluid/framework/ir/shuffle_channel_detect_pass.h"
+
+namespace paddle {
+namespace framework {
+namespace ir {
+
+#define GET_IR_NODE(node__) GET_IR_NODE_FROM_SUBGRAPH(node__, node__, pattern);
+#define GET_NODES             \
+  GET_IR_NODE(reshape1_op);   \
+  GET_IR_NODE(reshape1_out);  \
+  GET_IR_NODE(transpose_op);  \
+  GET_IR_NODE(transpose_out); \
+  GET_IR_NODE(reshape2_op);   \
+  GET_IR_NODE(reshape2_out);
+
+void ShuffleChannelDetectPass::ApplyImpl(ir::Graph* graph) const {
+  const std::string pattern_name = "shufflechannel_pattern";
+  FusePassBase::Init(pattern_name, graph);
+
+  GraphPatternDetector gpd;
+  auto* x = gpd.mutable_pattern()
+                ->NewNode("x")
+                ->assert_is_op_input("reshape2", "X")
+                ->AsInput();
+
+  patterns::ShuffleChannelPattern pattern(gpd.mutable_pattern(), pattern_name);
+  pattern(x);
+
+  auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
+                     Graph* g) {
+    GET_NODES;
+
+    PADDLE_ENFORCE(subgraph.count(x));
+    auto* input_node = subgraph.at(x);
+    auto reshape1_desc = reshape1_op->Op();
+    auto reshape2_desc = reshape2_op->Op();
+    std::string input_name = input_node->Name();
+    std::string output_name = reshape2_out->Name();
+
+    auto reshape1_shape =
+        boost::get<std::vector<int>>(reshape1_desc->GetAttr("shape"));
+    auto reshape2_shape =
+        boost::get<std::vector<int>>(reshape2_desc->GetAttr("shape"));
+
+    int i_c = reshape1_shape[2];
+    int o_c = reshape2_shape[1];
+    int group = o_c / i_c;
+
+    framework::OpDesc new_op_desc;
+    new_op_desc.SetType("shuffle_channel");
+    new_op_desc.SetInput("X", {input_name});
+    new_op_desc.SetOutput("Out", {output_name});
+
+    new_op_desc.SetAttr("group", group);
+    new_op_desc.Flush();
+
+    // Create a new node for the fused op.
+    auto* new_op = graph->CreateOpNode(&new_op_desc);
+
+    IR_NODE_LINK_TO(input_node, new_op);
+    IR_NODE_LINK_TO(new_op, reshape2_out);
+
+    // Delete the unneeded nodes.
+    GraphSafeRemoveNodes(graph, {reshape1_op, reshape1_out, transpose_op,
+                                 transpose_out, reshape2_op});
+  };
+
+  gpd(graph, handler);
+}
+
+}  // namespace ir
+}  // namespace framework
+}  // namespace paddle
+
+REGISTER_PASS(shuffle_channel_detect_pass,
+              paddle::framework::ir::ShuffleChannelDetectPass);

paddle/fluid/framework/ir/shuffle_channel_detect_pass.h

@@ -0,0 +1,34 @@
+// 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 <vector>
+#include "paddle/fluid/framework/ir/fuse_pass_base.h"
+#include "paddle/fluid/framework/ir/graph_pattern_detector.h"
+
+namespace paddle {
+namespace framework {
+namespace ir {
+
+class ShuffleChannelDetectPass : public FusePassBase {
+ public:
+  virtual ~ShuffleChannelDetectPass() {}
+
+ protected:
+  void ApplyImpl(ir::Graph* graph) const override;
+};
+
+}  // namespace ir
+}  // namespace framework
+}  // namespace paddle

paddle/fluid/inference/anakin/convert/CMakeLists.txt

@@ -2,8 +2,8 @@ cc_library(anakin_op_converter SRCS fc.cc conv2d.cc conv2d_fusion.cc
 elementwise.cc activation.cc pool2d.cc concat.cc split.cc relu.cc softmax.cc
 batch_norm.cc reshape.cc flatten.cc transpose.cc density_prior_box.cc
 detection_out.cc scale.cc dropout.cc im2sequence.cc sum.cc affine_channel.cc
-roi_align.cc helper.cc DEPS anakin_engine framework_proto scope op_registry
-gtest)
+roi_align.cc shuffle_channel.cc helper.cc DEPS anakin_engine framework_proto
+scope op_registry gtest)
 
 cc_test(test_anakin_fc SRCS test_fc_op.cc DEPS anakin_op_converter mul_op SERIAL)
 cc_test(test_anakin_conv2d SRCS test_conv2d_op.cc DEPS anakin_op_converter conv_op im2col vol2col depthwise_conv SERIAL)

paddle/fluid/inference/anakin/convert/shuffle_channel.cc

@@ -0,0 +1,47 @@
+// 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/inference/anakin/convert/shuffle_channel.h"
+#include <algorithm>
+#include <string>
+#include <vector>
+
+using anakin::PTuple;
+
+namespace paddle {
+namespace inference {
+namespace anakin {
+
+template <typename TargetT, ::anakin::Precision PrecisionT>
+void ShuffleChannelOpConverter<TargetT, PrecisionT>::operator()(
+    const framework::proto::OpDesc &op, const framework::BlockDesc &block_desc,
+    const framework::Scope &scope, bool test_mode) {
+  framework::OpDesc op_desc(op, nullptr);
+  PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);
+  PADDLE_ENFORCE_EQ(op_desc.Output("Out").size(), 1);
+
+  auto input = op_desc.Input("X").front();
+  auto output = op_desc.Output("Out").front();
+  auto op_name = op_desc.Type() + ":" + op_desc.Output("Out").front();
+  this->engine_->AddOp(op_name, "ShuffleChannel", {input}, {output});
+
+  auto group = boost::get<int>(op_desc.GetAttr("group"));
+  this->engine_->AddOpAttr(op_name, "group", group);
+}
+
+}  // namespace anakin
+}  // namespace inference
+}  // namespace paddle
+
+REGISTER_ANAKIN_OP_CONVERTER(shuffle_channel, ShuffleChannelOpConverter);

paddle/fluid/inference/anakin/convert/shuffle_channel.h

@@ -0,0 +1,38 @@
+// 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/inference/anakin/convert/op_converter.h"
+
+namespace paddle {
+namespace inference {
+namespace anakin {
+
+template <typename TargetT, ::anakin::Precision PrecisionT>
+class ShuffleChannelOpConverter
+    : public AnakinOpConverter<TargetT, PrecisionT> {
+ public:
+  ShuffleChannelOpConverter() = default;
+
+  virtual void operator()(const framework::proto::OpDesc &op,
+                          const framework::BlockDesc &block_desc,
+                          const framework::Scope &scope,
+                          bool test_mode) override;
+  virtual ~ShuffleChannelOpConverter() {}
+};
+
+}  // namespace anakin
+}  // namespace inference
+}  // namespace paddle

paddle/fluid/inference/anakin/op_teller.cc

@@ -48,6 +48,7 @@ struct SimpleOpTypeSetTeller : public Teller {
     teller_set.insert("affine_channel");
     teller_set.insert("relu6");
     teller_set.insert("swish");
+    teller_set.insert("shuffle_channel");
   }
 
   bool operator()(const std::string& op_type,

paddle/fluid/inference/api/analysis_predictor.cc

@@ -896,4 +896,5 @@ USE_ANAKIN_CONVERTER(leaky_relu);
 USE_ANAKIN_CONVERTER(affine_channel);
 USE_ANAKIN_CONVERTER(relu6);
 USE_ANAKIN_CONVERTER(swish);
+USE_ANAKIN_CONVERTER(shuffle_channel);
 #endif

paddle/fluid/inference/api/paddle_pass_builder.cc

@@ -79,6 +79,7 @@ const std::vector<std::string> kAnakinSubgraphPasses({
     "fc_fuse_pass",                                 //
     "conv_elementwise_add_fuse_pass",               //
     "fc_gru_fuse_pass",                             //
+    "shuffle_channel_detect_pass",                  //
     "anakin_subgraph_pass",                         //
     "fc_gru_fuse_pass",                             //
 });