!25692 310 support ocr model

Merge pull request !25692 from zhengyuanhua/model_br1

mindspore/ccsrc/transform/graph_ir/convert.cc

@@ -910,6 +910,7 @@ DfGraphConvertor &DfGraphConvertor::BuildGraph() {
       } else if (vars_[name] != nullptr) {
         MS_LOG(INFO) << "add var input " << it->ToString();
         auto op = Convert(it);
+        UpdateConstOpDesc(it, vars_[name]);
         MS_EXCEPTION_IF_NULL(op);
         inputs.push_back(*op);
       }
@@ -942,6 +943,40 @@ DfGraphConvertor &DfGraphConvertor::BuildGraph() {
   return *this;
 }
 
+void DfGraphConvertor::UpdateConstOpDesc(const AnfNodePtr &it, const OperatorPtr &op) const {
+  if (!it->isa<Parameter>()) {
+    MS_LOG(DEBUG) << "It is not parameter, name: " << it->DebugString();
+    return;
+  }
+  auto para = it->cast<ParameterPtr>();
+  MS_EXCEPTION_IF_NULL(para);
+  std::string format = kOpFormat_NCHW;
+  std::string param_debug_info = para->DebugString();
+  auto param_format = param_format_.find(param_debug_info);
+  if (param_format != param_format_.end()) {
+    format = param_format->second;
+    MS_LOG(DEBUG) << "Parameter debug info: " << param_debug_info << ", format is " << format;
+  }
+  if (format == kOpFormat_NCHW) {
+    MS_LOG(DEBUG) << "Format is not changed, no need to update op desc, name: " << param_debug_info;
+    return;
+  }
+  if (!para->has_default()) {
+    MS_LOG(DEBUG) << "Parameter has no default, no need to update op desc, name: " << param_debug_info;
+    return;
+  }
+  auto value = para->default_param();
+  MS_EXCEPTION_IF_NULL(value);
+  auto tensor = value->cast<std::shared_ptr<tensor::Tensor>>();
+  MS_EXCEPTION_IF_NULL(tensor);
+  auto const_op_desc = TransformUtil::GetGeTensorDesc(tensor->shape_c(), tensor->data_type(), format);
+  if (const_op_desc == nullptr) {
+    MS_LOG(WARNING) << "Create parameter " << para->name() << " output descriptor failed!";
+    return;
+  }
+  (void)std::static_pointer_cast<Constant>(op)->update_output_desc_y(*const_op_desc);
+}
+
 void DfGraphConvertor::UpdateDataOpDesc(const AnfNodePtr &it, const OperatorPtr &op) const {
   auto node = std::static_pointer_cast<AnfNode>(it);
   if (node == nullptr) {
@@ -1543,6 +1578,27 @@ void DfGraphConvertor::ConvertReshape(const CNodePtr node) {
   op_cache_[node.get()] = op;
 }
 
+void DfGraphConvertor::ConvertConv2D(const CNodePtr node) {
+  MS_EXCEPTION_IF_NULL(node);
+  OpAdapterPtr adpt = FindAdapter(node, training_);
+  if (adpt == nullptr) {
+    return;
+  }
+  auto op = adpt->generate(node);
+  MS_EXCEPTION_IF_NULL(op);
+  auto value_node = node->input(0)->cast<ValueNodePtr>();
+  MS_EXCEPTION_IF_NULL(value_node);
+  MS_EXCEPTION_IF_NULL(value_node->value());
+  auto primitive = value_node->value()->cast<PrimitivePtr>();
+  MS_EXCEPTION_IF_NULL(primitive);
+  auto value = primitive->GetAttr("padding");
+  if (value != nullptr) {
+    std::string pad_mode = GetValue<std::string>(value);
+    (void)op->SetAttr("padding", pad_mode);
+  }
+  op_cache_[node.get()] = op;
+}
+
 AnfNodePtr DfGraphConvertor::TraceTupleGetItem(const CNodePtr &node, uint64_t *index) {
   const int TUPLE_GET_ITEM_INDEX = 2;
   if (node->inputs().size() < 3) {  // "tuple_getitem" primitive must have 3 inputs
@@ -1735,6 +1791,12 @@ bool DfGraphConvertor::CheckCNode(const std::string &name, const CNodePtr node)
     return true;
   }
 
+  // Add attr pad mode to Conv2D
+  if (name == prim::kPrimConv2D->name() || name == prim::kPrimDepthwiseConv2dNative->name()) {
+    ConvertConv2D(node);
+    return true;
+  }
+
   // make_tuple is used for a dynamic_input, convert it to a vector of OutHandlers
   if (name == prim::kPrimMakeTuple->name()) {
     ConvertMakeTuple(node);
@@ -1813,7 +1875,7 @@ void DfGraphConvertor::SaveParamFormat(const CNodePtr node) {
           CheckAndConvertUtils::ConvertAttrValueToString(prim->name(), "format", &attr.second);
         }
         std::string format = attr.second->ToString();
-        if (format != "NCDHW") {
+        if (format != "NCDHW" && format != "NHWC") {
           break;
         }
         for (size_t i = 1; i < node->size(); i++) {

mindspore/ccsrc/transform/graph_ir/convert.h

@@ -164,6 +164,7 @@ class DfGraphConvertor {
   void ConvertMakeTuple(const CNodePtr node);
   void ConvertTopK(const CNodePtr node);
   void ConvertReshape(const CNodePtr node);
+  void ConvertConv2D(const CNodePtr node);
   std::vector<int64_t> CastToInt(const ValuePtr &value);
   bool CheckCNode(const std::string &name, const CNodePtr node);
   void TraceOutput(AnfNodePtr node);
@@ -177,6 +178,7 @@ class DfGraphConvertor {
   void BuildSaveCheckpointGraph();
   void DrawCNode(const CNodePtr node, const OpAdapterPtr adpt);
   void UpdateDataOpDesc(const AnfNodePtr &it, const OperatorPtr &op) const;
+  void UpdateConstOpDesc(const AnfNodePtr &it, const OperatorPtr &op) const;
   void AddGraphConstInput(const OperatorPtr &op);
   OperatorPtr ToOperatorPtr(const AnfNodePtr &node);
   bool IsSourceEdgeNode(const AnfNodePtr &node);

mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.cc

@@ -36,6 +36,7 @@
 namespace mindspore {
 namespace opt {
 static const std::set<std::string> kDevice = {"Ascend310", "Ascend710"};
+static const std::map<int64_t, std::string> kEnumFormatToStrMap = {{Format::NCHW, "NCHW"}, {Format::NHWC, "NHWC"}};
 namespace {
 constexpr auto kMakeTuple = "MakeTuple";
 constexpr auto kOutputNames = "outputs_names";
@@ -51,6 +52,50 @@ constexpr auto kDelRedundantTranspose = "DeleteRedundantTranspose";
 constexpr size_t kDependInputNum = 3;
 constexpr size_t kDependFirstInputIdx = 1;
 constexpr size_t kTupleGetItemFirstInputIdx = 1;
+
+STATUS PreProcForMindIr(const FuncGraphPtr &func_graph) { return lite::RET_OK; }
+
+STATUS PreProcForTF(const FuncGraphPtr &func_graph) {
+  if (!lite::RunOptimizerPass(func_graph, {kInferShapePass})) {
+    MS_LOG(ERROR) << "Infer shape pass failed.";
+    return lite::RET_ERROR;
+  }
+  auto node_list = TopoSort(func_graph->get_return());
+  for (auto &node : node_list) {
+    CHECK_NULL_RETURN(node);
+    if (!utils::isa<CNodePtr>(node)) {
+      continue;
+    }
+    auto cnode = node->cast<CNodePtr>();
+    CHECK_NULL_RETURN(cnode);
+    auto prim = GetValueNode<PrimitivePtr>(cnode->input(0));
+    CHECK_NULL_RETURN(prim);
+    if (prim->GetAttr(ops::kFormat) != nullptr) {
+      auto node_format = GetValue<int64_t>(prim->GetAttr(ops::kFormat));
+      if (kEnumFormatToStrMap.find(node_format) != kEnumFormatToStrMap.end()) {
+        std::string format = kEnumFormatToStrMap.at(node_format);
+        prim->AddAttr("io_format", MakeValue(format));
+      }
+    }
+  }
+  return lite::RET_OK;
+}
+
+STATUS PreProcForCaffe(const FuncGraphPtr &func_graph) {
+  if (!lite::RunOptimizerPass(func_graph, {kInferShapePass, kToNCHWFormatPass, kDelRedundantTranspose})) {
+    MS_LOG(ERROR) << "To nchw format failed.";
+    return lite::RET_ERROR;
+  }
+  return lite::RET_OK;
+}
+
+STATUS PreProcForOnnx(const FuncGraphPtr &func_graph) {
+  if (!lite::RunOptimizerPass(func_graph, {kInferShapePass, kToNCHWFormatPass, kDelRedundantTranspose})) {
+    MS_LOG(ERROR) << "To nchw format failed.";
+    return lite::RET_ERROR;
+  }
+  return lite::RET_OK;
+}
 }  // namespace
 
 AclPassImpl::AclPassImpl(const converter::Flags &config)
@@ -174,15 +219,21 @@ STATUS AclPassImpl::PreProcGraph(const FuncGraphPtr &func_graph) {
     MS_LOG(ERROR) << "Common pass failed.";
     return lite::RET_ERROR;
   }
-  if (fmk_type_ == converter::kFmkTypeMs) {
+  std::map<converter::FmkType, std::function<STATUS(const FuncGraphPtr &)>> fmk_proc_func = {
-    MS_LOG(DEBUG) << "MindIr no need to change format.";
+    {converter::kFmkTypeMs, PreProcForMindIr},
-    return lite::RET_OK;
+    {converter::kFmkTypeTf, PreProcForTF},
-  }
+    {converter::kFmkTypeCaffe, PreProcForCaffe},
-  // The format of nodes (cnode, parameter, val) must be nchw due to interface of convert om
+    {converter::kFmkTypeOnnx, PreProcForOnnx},
-  if (!lite::RunOptimizerPass(func_graph, {kInferShapePass, kToNCHWFormatPass, kDelRedundantTranspose})) {
+  };
-    MS_LOG(ERROR) << "To nchw format failed.";
+  if (fmk_proc_func.find(fmk_type_) != fmk_proc_func.end()) {
+    auto func = fmk_proc_func.at(fmk_type_);
+    if (func(func_graph) != lite::RET_OK) {
+      MS_LOG(ERROR) << "Pre proc failed, fmk " << fmk_type_;
       return lite::RET_ERROR;
     }
+  } else {
+    MS_LOG(WARNING) << "Not support fmk type " << fmk_type_;
+  }
   MS_LOG(DEBUG) << "Pre proc graph success.";
   return lite::RET_OK;
 }

mindspore/lite/tools/converter/adapter/acl/mapper/add_fusion_mapper.cc

@@ -1,34 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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 "tools/converter/adapter/acl/mapper/add_fusion_mapper.h"
-#include <memory>
-#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
-
-namespace mindspore {
-namespace lite {
-STATUS AddFusionMapper::Mapper(const CNodePtr &cnode) {
-  auto dst_prim = std::make_shared<ops::Add>();
-  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
-    MS_LOG(ERROR) << "AddFusion mapper failed.";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-REGISTER_PRIMITIVE_MAPPER(kNameAddFusion, AddFusionMapper)
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/add_fusion_mapper.h

@@ -1,37 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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.
- */
-
-#ifndef ACL_MAPPER_PRIMITIVE_ADDFUSION_MAPPER_H
-#define ACL_MAPPER_PRIMITIVE_ADDFUSION_MAPPER_H
-
-#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
-#include "ops/fusion/add_fusion.h"
-
-using mindspore::ops::kNameAddFusion;
-
-namespace mindspore {
-namespace lite {
-class AddFusionMapper : public PrimitiveMapper {
- public:
-  AddFusionMapper() : PrimitiveMapper(kNameAddFusion) {}
-
-  ~AddFusionMapper() override = default;
-
-  STATUS Mapper(const CNodePtr &cnode) override;
-};
-}  // namespace lite
-}  // namespace mindspore
-#endif  // ACL_MAPPER_PRIMITIVE_ADDFUSION_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/arithmetic_mapper.cc

@@ -0,0 +1,74 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * 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 "tools/converter/adapter/acl/mapper/arithmetic_mapper.h"
+#include <memory>
+#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
+
+namespace mindspore {
+namespace lite {
+STATUS AddFusionMapper::Mapper(const CNodePtr &cnode) {
+  auto dst_prim = std::make_shared<ops::Add>();
+  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
+    MS_LOG(ERROR) << "AddFusion mapper failed.";
+    return RET_ERROR;
+  }
+  return RET_OK;
+}
+
+STATUS DivFusionMapper::Mapper(const CNodePtr &cnode) {
+  auto dst_prim = std::make_shared<ops::Div>();
+  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
+    MS_LOG(ERROR) << "DivFusion mapper failed.";
+    return RET_ERROR;
+  }
+  return RET_OK;
+}
+
+STATUS MulFusionMapper::Mapper(const CNodePtr &cnode) {
+  auto dst_prim = std::make_shared<ops::Mul>();
+  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
+    MS_LOG(ERROR) << "MulFusion mapper failed.";
+    return RET_ERROR;
+  }
+  return RET_OK;
+}
+
+STATUS PowFusionMapper::Mapper(const CNodePtr &cnode) {
+  auto dst_prim = std::make_shared<ops::Pow>();
+  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
+    MS_LOG(ERROR) << "PowFusion mapper failed.";
+    return RET_ERROR;
+  }
+  return RET_OK;
+}
+
+STATUS SubFusionMapper::Mapper(const CNodePtr &cnode) {
+  auto dst_prim = std::make_shared<ops::Sub>();
+  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
+    MS_LOG(ERROR) << "SubFusion mapper failed.";
+    return RET_ERROR;
+  }
+  return RET_OK;
+}
+
+REGISTER_PRIMITIVE_MAPPER(kNameAddFusion, AddFusionMapper)
+REGISTER_PRIMITIVE_MAPPER(kNameDivFusion, DivFusionMapper)
+REGISTER_PRIMITIVE_MAPPER(kNameMulFusion, MulFusionMapper)
+REGISTER_PRIMITIVE_MAPPER(kNamePowFusion, PowFusionMapper)
+REGISTER_PRIMITIVE_MAPPER(kNameSubFusion, SubFusionMapper)
+}  // namespace lite
+}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/arithmetic_mapper.h

@@ -0,0 +1,82 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * 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.
+ */
+
+#ifndef ACL_MAPPER_PRIMITIVE_ARITHMETIC_MAPPER_H
+#define ACL_MAPPER_PRIMITIVE_ARITHMETIC_MAPPER_H
+
+#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
+#include "ops/fusion/add_fusion.h"
+#include "ops/fusion/div_fusion.h"
+#include "ops/fusion/mul_fusion.h"
+#include "ops/fusion/pow_fusion.h"
+#include "ops/fusion/sub_fusion.h"
+
+namespace mindspore {
+namespace lite {
+using mindspore::ops::kNameAddFusion;
+using mindspore::ops::kNameDivFusion;
+using mindspore::ops::kNameMulFusion;
+using mindspore::ops::kNamePowFusion;
+using mindspore::ops::kNameSubFusion;
+
+class AddFusionMapper : public PrimitiveMapper {
+ public:
+  AddFusionMapper() : PrimitiveMapper(kNameAddFusion) {}
+
+  ~AddFusionMapper() override = default;
+
+  STATUS Mapper(const CNodePtr &cnode) override;
+};
+
+class DivFusionMapper : public PrimitiveMapper {
+ public:
+  DivFusionMapper() : PrimitiveMapper(kNameDivFusion) {}
+
+  ~DivFusionMapper() override = default;
+
+  STATUS Mapper(const CNodePtr &cnode) override;
+};
+
+class MulFusionMapper : public PrimitiveMapper {
+ public:
+  MulFusionMapper() : PrimitiveMapper(kNameMulFusion) {}
+
+  ~MulFusionMapper() override = default;
+
+  STATUS Mapper(const CNodePtr &cnode) override;
+};
+
+class PowFusionMapper : public PrimitiveMapper {
+ public:
+  PowFusionMapper() : PrimitiveMapper(kNamePowFusion) {}
+
+  ~PowFusionMapper() override = default;
+
+  STATUS Mapper(const CNodePtr &cnode) override;
+};
+
+class SubFusionMapper : public PrimitiveMapper {
+ public:
+  SubFusionMapper() : PrimitiveMapper(kNameSubFusion) {}
+
+  ~SubFusionMapper() override = default;
+
+  STATUS Mapper(const CNodePtr &cnode) override;
+};
+}  // namespace lite
+}  // namespace mindspore
+
+#endif  // ACL_MAPPER_PRIMITIVE_ARITHMETIC_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/conv2d_fusion_mapper.cc

@@ -15,11 +15,25 @@
  */
 
 #include "tools/converter/adapter/acl/mapper/conv2d_fusion_mapper.h"
+#include <vector>
+#include <map>
+#include <string>
 #include "memory"
 #include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
+#include "tools/converter/adapter/acl/mapper/tbe_op_def.h"
+#include "src/common/log_util.h"
 
 namespace mindspore {
 namespace lite {
+static const std::map<int64_t, std::string> kPadModToStrMap = {
+  {PadMode::PAD, "CALCULATED"},
+  {PadMode::SAME, "SAME"},
+  {PadMode::VALID, "VALID"},
+};
+namespace {
+constexpr auto kNamePaddingMode = "padding";
+}  // namespace
+
 STATUS Conv2DFusionMapper::Mapper(const CNodePtr &cnode) {
   ValueNodePtr value_node = nullptr;
   PrimitivePtr src_prim = nullptr;
@@ -27,10 +41,19 @@ STATUS Conv2DFusionMapper::Mapper(const CNodePtr &cnode) {
     MS_LOG(ERROR) << "Get primitive from cnode failed.";
     return lite::RET_ERROR;
   }
-  auto dst_prim = std::make_shared<ops::Conv2D>();
+  bool is_depth_wise = false;
-  MS_ASSERT(dst_prim != nullptr);
+  auto depth_wise_ptr = src_prim->GetAttr(ops::kIsDepthWise);
+  if (depth_wise_ptr != nullptr) {
+    is_depth_wise = GetValue<bool>(depth_wise_ptr);
+  }
+  PrimitivePtr dst_prim = nullptr;
+  if (!is_depth_wise) {
+    dst_prim = std::make_shared<ops::Conv2D>();
+  } else {
+    dst_prim = std::make_shared<acl::DepthwiseConv2dNative>();
+  }
+  CHECK_NULL_RETURN(dst_prim);
   dst_prim->SetAttrs(src_prim->attrs());
-
   auto status = AttrAdjust(dst_prim, ops::kStride);
   if (status != lite::RET_OK) {
     MS_LOG(ERROR) << "adjust stride failed.";
@@ -41,10 +64,34 @@ STATUS Conv2DFusionMapper::Mapper(const CNodePtr &cnode) {
     MS_LOG(ERROR) << "adjust dilation failed.";
     return status;
   }
+  status = AdjustAttrPad(dst_prim);
+  if (status != lite::RET_OK) {
+    MS_LOG(ERROR) << "adjust pad failed.";
+    return status;
+  }
   value_node->set_value(dst_prim);
   return lite::RET_OK;
 }
 
+STATUS Conv2DFusionMapper::AdjustAttrPad(const PrimitivePtr &prim) {
+  // attr pad val
+  auto pad_ptr = prim->GetAttr(ops::kPadList);
+  if (pad_ptr == nullptr) {
+    std::vector<int64_t> pad_list = {0, 0, 0, 0};
+    prim->AddAttr(ops::kPadList, MakeValue(pad_list));
+  }
+  // attr pad mode
+  auto pad_mode_val = prim->GetAttr(ops::kPadMode);
+  if (pad_mode_val != nullptr) {
+    auto pad_mode = GetValue<int64_t>(pad_mode_val);
+    if (kPadModToStrMap.find(pad_mode) != kPadModToStrMap.end()) {
+      std::string padding_mode = kPadModToStrMap.at(pad_mode);
+      prim->AddAttr(kNamePaddingMode, MakeValue(padding_mode));
+    }
+  }
+  return lite::RET_OK;
+}
+
 REGISTER_PRIMITIVE_MAPPER(kNameConv2DFusion, Conv2DFusionMapper)
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/conv2d_fusion_mapper.h

@@ -30,6 +30,9 @@ class Conv2DFusionMapper : public PrimitiveMapper {
   ~Conv2DFusionMapper() override = default;
 
   STATUS Mapper(const CNodePtr &cnode) override;
+
+ private:
+  STATUS AdjustAttrPad(const PrimitivePtr &prim);
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/div_fusion_mapper.cc

@@ -1,35 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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 "tools/converter/adapter/acl/mapper/div_fusion_mapper.h"
-#include <memory>
-#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
-#include "src/common/log_util.h"
-
-namespace mindspore {
-namespace lite {
-STATUS DivFusionMapper::Mapper(const CNodePtr &cnode) {
-  auto dst_prim = std::make_shared<ops::Div>();
-  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
-    MS_LOG(ERROR) << "DivFusion mapper failed.";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-REGISTER_PRIMITIVE_MAPPER(kNameDivFusion, DivFusionMapper)
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/div_fusion_mapper.h

@@ -1,37 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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.
- */
-
-#ifndef ACL_MAPPER_PRIMITIVE_DIV_FUSION_MAPPER_H
-#define ACL_MAPPER_PRIMITIVE_DIV_FUSION_MAPPER_H
-
-#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
-#include "ops/fusion/div_fusion.h"
-
-namespace mindspore {
-namespace lite {
-using mindspore::ops::kNameDivFusion;
-
-class DivFusionMapper : public PrimitiveMapper {
- public:
-  DivFusionMapper() : PrimitiveMapper(kNameDivFusion) {}
-
-  ~DivFusionMapper() override = default;
-
-  STATUS Mapper(const CNodePtr &cnode) override;
-};
-}  // namespace lite
-}  // namespace mindspore
-#endif  // ACL_MAPPER_PRIMITIVE_DIV_FUSION_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/mul_fusion_mapper.cc

@@ -1,34 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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 "tools/converter/adapter/acl/mapper/mul_fusion_mapper.h"
-#include <memory>
-#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
-
-namespace mindspore {
-namespace lite {
-STATUS MulFusionMapper::Mapper(const CNodePtr &cnode) {
-  auto dst_prim = std::make_shared<ops::Mul>();
-  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
-    MS_LOG(ERROR) << "MulFusion mapper failed.";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-REGISTER_PRIMITIVE_MAPPER(kNameMulFusion, MulFusionMapper)
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/mul_fusion_mapper.h

@@ -1,37 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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.
- */
-
-#ifndef ACL_MAPPER_PRIMITIVE_MULFUSION_MAPPER_H
-#define ACL_MAPPER_PRIMITIVE_MULFUSION_MAPPER_H
-
-#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
-#include "ops/fusion/mul_fusion.h"
-
-using mindspore::ops::kNameMulFusion;
-
-namespace mindspore {
-namespace lite {
-class MulFusionMapper : public PrimitiveMapper {
- public:
-  MulFusionMapper() : PrimitiveMapper(kNameMulFusion) {}
-
-  ~MulFusionMapper() override = default;
-
-  STATUS Mapper(const CNodePtr &cnode) override;
-};
-}  // namespace lite
-}  // namespace mindspore
-#endif  // ACL_MAPPER_PRIMITIVE_MULFUSION_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/pow_fusion_mapper.cc

@@ -1,35 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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 "tools/converter/adapter/acl/mapper/pow_fusion_mapper.h"
-#include <memory>
-#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
-#include "src/common/log_util.h"
-
-namespace mindspore {
-namespace lite {
-STATUS PowFusionMapper::Mapper(const CNodePtr &cnode) {
-  auto dst_prim = std::make_shared<ops::Pow>();
-  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
-    MS_LOG(ERROR) << "PowFusion mapper failed.";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-REGISTER_PRIMITIVE_MAPPER(kNamePowFusion, PowFusionMapper)
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/pow_fusion_mapper.h

@@ -1,37 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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.
- */
-
-#ifndef ACL_MAPPER_PRIMITIVE_POW_FUSION_MAPPER_H
-#define ACL_MAPPER_PRIMITIVE_POW_FUSION_MAPPER_H
-
-#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
-#include "ops/fusion/pow_fusion.h"
-
-namespace mindspore {
-namespace lite {
-using mindspore::ops::kNamePowFusion;
-
-class PowFusionMapper : public PrimitiveMapper {
- public:
-  PowFusionMapper() : PrimitiveMapper(kNamePowFusion) {}
-
-  ~PowFusionMapper() override = default;
-
-  STATUS Mapper(const CNodePtr &cnode) override;
-};
-}  // namespace lite
-}  // namespace mindspore
-#endif  // ACL_MAPPER_PRIMITIVE_POW_FUSION_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/primitive_mapper.cc

@@ -89,11 +89,15 @@ STATUS PrimitiveMapper::AttrAdjust(const PrimitivePtr &prim, const std::string &
     MS_LOG(ERROR) << name << " Value num must be two.";
     return lite::RET_ERROR;
   }
-  std::vector<int64_t> new_value;
+  int64_t format = Format::NCHW;
-  new_value.push_back(1);
+  if (prim->GetAttr(ops::kFormat) != nullptr) {
-  new_value.push_back(1);
+    format = GetValue<int64_t>(prim->GetAttr(ops::kFormat));
-  new_value.push_back(static_cast<int64_t>(origin_value[0]));
+  }
-  new_value.push_back(static_cast<int64_t>(origin_value[1]));
+  std::vector<int64_t> new_value = {1, 1, static_cast<int64_t>(origin_value[0]), static_cast<int64_t>(origin_value[1])};
+  if (format == Format::NHWC) {
+    std::vector<int64_t> tmp = {1, static_cast<int64_t>(origin_value[0]), static_cast<int64_t>(origin_value[1]), 1};
+    new_value.swap(tmp);
+  }
   prim->AddAttr(name, MakeValue(new_value));
   return lite::RET_OK;
 }

mindspore/lite/tools/converter/adapter/acl/mapper/spatial_node_adapter.cc

@@ -87,14 +87,14 @@ static STATUS AdapteNodeWithMultiOutputs(const FuncGraphPtr &func_graph, const C
     auto input_cnode = input->cast<CNodePtr>();
     std::string input_func_name = GetCNodeFuncName(input_cnode);
     if (kCNodeWithMultiOutputs.find(input_func_name) != kCNodeWithMultiOutputs.end()) {
-      MS_LOG(INFO) << "Adapter cnode with multioutputs: " << cnode_func_name;
+      MS_LOG(INFO) << "Input " << input_func_name << " of cnode " << cnode_func_name << " has multioutputs";
       CNodePtr get_item_cnode = CreateTupleGetItemNode(func_graph, input_cnode);
       if (get_item_cnode == nullptr) {
-        MS_LOG(ERROR) << "Create tuple item for " << cnode_func_name << " failed.";
+        MS_LOG(ERROR) << "Create tuple item for " << input_func_name << " of " << cnode_func_name << " failed.";
         return lite::RET_ERROR;
       }
       if (!manager->Replace(input_cnode, get_item_cnode)) {
-        MS_LOG(ERROR) << "Replace " << cnode_func_name << " failed.";
+        MS_LOG(ERROR) << "Replace " << input_func_name << " of " << cnode_func_name << " failed.";
         return lite::RET_ERROR;
       }
     }

mindspore/lite/tools/converter/adapter/acl/mapper/sub_fusion_mapper.cc

@@ -1,35 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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 "tools/converter/adapter/acl/mapper/sub_fusion_mapper.h"
-#include <memory>
-#include "tools/converter/adapter/acl/mapper/primitive_mapper_register.h"
-#include "src/common/log_util.h"
-
-namespace mindspore {
-namespace lite {
-STATUS SubFusionMapper::Mapper(const CNodePtr &cnode) {
-  auto dst_prim = std::make_shared<ops::Sub>();
-  if (MoveAttrMap(cnode, dst_prim) != RET_OK) {
-    MS_LOG(ERROR) << "SubFusion mapper failed.";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-REGISTER_PRIMITIVE_MAPPER(kNameSubFusion, SubFusionMapper)
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/adapter/acl/mapper/sub_fusion_mapper.h

@@ -1,37 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * 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.
- */
-
-#ifndef ACL_MAPPER_PRIMITIVE_SUB_FUSION_MAPPER_H
-#define ACL_MAPPER_PRIMITIVE_SUB_FUSION_MAPPER_H
-
-#include "tools/converter/adapter/acl/mapper/primitive_mapper.h"
-#include "ops/fusion/sub_fusion.h"
-
-namespace mindspore {
-namespace lite {
-using mindspore::ops::kNameSubFusion;
-
-class SubFusionMapper : public PrimitiveMapper {
- public:
-  SubFusionMapper() : PrimitiveMapper(kNameSubFusion) {}
-
-  ~SubFusionMapper() override = default;
-
-  STATUS Mapper(const CNodePtr &cnode) override;
-};
-}  // namespace lite
-}  // namespace mindspore
-#endif  // ACL_MAPPER_PRIMITIVE_SUB_FUSION_MAPPER_H

mindspore/lite/tools/converter/adapter/acl/mapper/tbe_op_def.h

@@ -41,7 +41,7 @@ ADD_CONVERTER_TBE_OP(BNInference)
 ADD_CONVERTER_TBE_OP(Deconvolution)
 ADD_CONVERTER_TBE_OP(Upsample)
 ADD_CONVERTER_TBE_OP(Conv2DTransposeD)
-
+ADD_CONVERTER_TBE_OP(DepthwiseConv2dNative)
 }  // namespace acl
 }  // namespace lite
 }  // namespace mindspore