add mkldnn int8 pass [step1] (#41579)

* add mkldnn int8 pass

* add mkldnn int8 pass

* update pass

paddle/fluid/framework/ir/CMakeLists.txt

@@ -140,6 +140,7 @@ if(WITH_MKLDNN)
     pass_library(batch_norm_act_fuse_pass inference DIR mkldnn)
     pass_library(multi_gru_fuse_pass inference DIR mkldnn)
     pass_library(multi_gru_seq_fuse_pass inference DIR mkldnn)
+    pass_library(quant_dequant_mkldnn_pass inference DIR mkldnn)
 endif()
 
 if(WITH_IPU)

paddle/fluid/framework/ir/mkldnn/mkldnn_pass_util.h

+// Copyright (c) 2022 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 <string>
+#include "paddle/fluid/framework/ir/graph_helper.h"
+
+namespace paddle {
+namespace framework {
+namespace ir {
+
+static void SaveInfoInTheFirstOp(
+    ir::Graph* graph, const std::string& flag, const std::string& key_suffix,
+    const std::unordered_map<std::string, std::vector<float>>& info_map) {
+  VLOG(3) << "save variables in the first op's attr";
+
+  const std::string suffix = "_" + key_suffix + "_" + flag;
+  for (auto* op_node :
+       ir::TopologyVarientSort(*graph, static_cast<ir::SortKind>(0))) {
+    if (!op_node->IsOp() || op_node->Op()->Type() == "feed" ||
+        op_node->Op()->Type() == "fetch")
+      continue;
+
+    op_node->Op()->SetAttr(flag, true);
+    for (auto iter = info_map.begin(); iter != info_map.end(); ++iter) {
+      op_node->Op()->SetAttr(iter->first + suffix, iter->second);
+    }
+    break;
+  }
+}
+
+static void GetInfoFromTheFirstOp(
+    ir::Graph* graph, const std::string& flag, const std::string& key_suffix,
+    std::unordered_map<std::string, std::vector<float>>* info_map) {
+  VLOG(3) << "get variables from the first op's attr";
+
+  const std::string suffix = "_" + key_suffix + "_" + flag;
+  for (auto* op_node :
+       ir::TopologyVarientSort(*graph, static_cast<ir::SortKind>(0))) {
+    if (!op_node->IsOp() || op_node->Op()->Type() == "feed" ||
+        op_node->Op()->Type() == "fetch")
+      continue;
+
+    auto* op_desc = op_node->Op();
+    if (op_desc->GetAttrIfExists<bool>(flag)) {
+      op_desc->RemoveAttr(flag);
+      std::vector<std::string> attr_names = op_desc->AttrNames();
+      for (auto fake_name : attr_names) {
+        size_t pos = fake_name.find(suffix);
+        if (pos != std::string::npos) {
+          std::string name = fake_name.substr(0, pos);
+          auto scales_vector =
+              BOOST_GET_CONST(std::vector<float>, op_desc->GetAttr(fake_name));
+          info_map->insert(std::make_pair(name, scales_vector));
+          op_desc->RemoveAttr(fake_name);
+        }
+      }
+      break;
+    }
+  }
+}
+
+}  // namespace ir
+}  // namespace framework
+}  // namespace paddle

paddle/fluid/framework/ir/mkldnn/quant_dequant_mkldnn_pass.h

+// Copyright (c) 2022 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 <string>
+#include "paddle/fluid/framework/ir/fuse_pass_base.h"
+
+namespace paddle {
+namespace framework {
+namespace ir {
+
+class QuantDequantMkldnnPass : public FusePassBase {
+ public:
+  QuantDequantMkldnnPass() = default;
+  virtual ~QuantDequantMkldnnPass() {}
+
+ protected:
+  void ApplyImpl(ir::Graph* graph) const override;
+
+ private:
+  void MarkSkipQuantizedOps(
+      ir::Graph* graph, const std::unordered_set<std::string>& skip_ops) const;
+
+  void MarkSkipQuantizedPool2d(ir::Graph* graph) const;
+
+  void CollectInfoFromFake(
+      ir::Graph* graph, Scope* scope,
+      const std::unordered_set<std::string>& fake_dequantize_types,
+      std::unordered_map<std::string, std::vector<float>>* weight_thresholds)
+      const;
+
+  void CollectInputScalesFromFake(
+      ir::Graph* graph, Scope* scope,
+      const std::unordered_set<std::string>& fake_quantize_types,
+      std::unordered_map<std::string, std::vector<float>>* var_quant_scales)
+      const;
+
+  void CollectOutputScalesFromAttr(
+      ir::Graph* graph,
+      std::unordered_map<std::string, std::vector<float>>* var_quant_scales)
+      const;
+
+  void CollectFakeQuantizeOps(ir::Graph* graph, Node* op_node,
+                              std::unordered_set<const Node*>* nodes2rm) const;
+
+  void CollectFakeDequantizeOps(
+      ir::Graph* graph, Node* op_node,
+      std::unordered_set<const Node*>* nodes2rm) const;
+
+  void RemoveFakeOps(
+      ir::Graph* graph,
+      const std::unordered_set<std::string>& fake_quantize_types,
+      const std::unordered_set<std::string>& fake_dequantize_types,
+      const std::unordered_set<std::string>& fake_quantize_dequantize_types)
+      const;
+
+  bool IsInt8Weight(Node* op_node, Scope* scope,
+                    const std::string& weight_name) const;
+
+  void TransposeWeight(Tensor* input) const;
+
+  void DequantizeOpWeights(
+      Node* op_node, Scope* scope, const std::string& weight_name,
+      const std::string& output_name,
+      const std::unordered_map<std::string, std::vector<float>>&
+          weight_thresholds) const;
+
+  void DequantizeWeights(
+      ir::Graph* graph, Scope* scope,
+      const std::unordered_map<std::string, std::vector<float>>&
+          weight_thresholds) const;
+
+  void UpdateActivations(ir::Graph* graph) const;
+
+  void RemoveCtrlVars(ir::Graph* graph) const;
+};
+}  // namespace ir
+}  // namespace framework
+}  // namespace paddle