add tflite op while v2.0 parser

mindspore/lite/schema/model.fbs

@@ -226,6 +226,7 @@ union PrimitiveType {
     InstanceNorm,
     Identity,
     LayerNorm,
+    While,
 }
 
 enum QuantType: int {

mindspore/lite/schema/ops.fbs

@@ -1103,3 +1103,8 @@ table LayerNorm {
     elementwiseAffine : bool;
 }
 
+table While {
+    condSubgraphIndex : int;
+    bodySubgraphIndex : int;
+}
+

mindspore/lite/src/ops/populate/while_populate.cc

@@ -0,0 +1,45 @@
+/**
+ * Copyright 2019-2020 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 "src/ops/while.h"
+#include "src/ops/primitive_c.h"
+#include "src/ops/populate/populate_register.h"
+
+namespace mindspore {
+namespace lite {
+
+typedef struct WhileParemeter {
+  OpParameter op_parameter_;
+  int body_subgraph_index;
+  int cond_subgraph_index;
+} WhileParemeter;
+
+OpParameter *PopulateWhileParemeter(const mindspore::lite::PrimitiveC *primitive) {
+  WhileParemeter *while_paremeter = reinterpret_cast<WhileParemeter *>(malloc(sizeof(WhileParemeter)));
+  if (while_paremeter == nullptr) {
+    MS_LOG(ERROR) << "malloc WhileParemeter failed.";
+    return nullptr;
+  }
+  memset(while_paremeter, 0, sizeof(WhileParemeter));
+  auto param = reinterpret_cast<mindspore::lite::While *>(const_cast<mindspore::lite::PrimitiveC *>(primitive));
+  while_paremeter->op_parameter_.type_ = primitive->Type();
+  while_paremeter->body_subgraph_index = param->GetBodySubgraphIndex();
+  while_paremeter->cond_subgraph_index = param->GetCondSubgraphIndex();
+  return reinterpret_cast<OpParameter *>(while_paremeter);
+}
+Registry WhileParemeterRegistry(schema::PrimitiveType_While, PopulateWhileParemeter);
+}  // namespace lite
+}  // namespace mindspore

mindspore/lite/src/ops/primitive_c.cc

@@ -144,6 +144,7 @@
 #include "src/ops/mfcc.h"
 #include "src/ops/identity.h"
 #include "src/ops/instance_norm.h"
+#include "src/ops/while.h"
 
 #ifdef SUPPORT_TRAIN
 #include "src/ops/neg_grad.h"
@@ -499,6 +500,8 @@ std::shared_ptr<PrimitiveC> PrimitiveC::Create(const Primitive &prim, const std:
     return NewPrimitiveC<Maximum>(prim, inputs, quantType);
   } else if (op_type == "Split") {
     return NewPrimitiveC<Split>(prim, inputs, quantType);
+  } else if (op_type == "While") {
+    return NewPrimitiveC<While>(prim, inputs, quantType);
   } else if (op_type == "OneHot") {
     return NewPrimitiveC<OneHot>(prim, inputs, quantType);
 
@@ -793,6 +796,8 @@ PrimitiveC *PrimitiveC::Create(mindspore::schema::PrimitiveT *primitive) {
       return new Mfcc(primitive);
     case schema::PrimitiveType_InstanceNorm:
       return new InstanceNorm(primitive);
+    case schema::PrimitiveType_While:
+      return new While(primitive);
 
 #ifdef SUPPORT_TRAIN
     case schema::PrimitiveType_ActivationGrad:

mindspore/lite/src/ops/while.cc

@@ -0,0 +1,107 @@
+/**
+ * Copyright 2019-2020 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 "src/ops/while.h"
+
+#ifndef PRIMITIVE_WRITEABLE
+#include "src/ops/ops_register.h"
+#endif
+
+namespace mindspore {
+namespace lite {
+#ifdef PRIMITIVE_WRITEABLE
+
+void While::SetCondSubgraphIndex(const int cond_subgraph_index) {
+  this->primitive_->value.AsWhile()->condSubgraphIndex = cond_subgraph_index;
+}
+void While::SetBodySubgraphIndex(const int body_subgraph_index) {
+  this->primitive_->value.AsWhile()->bodySubgraphIndex = body_subgraph_index;
+}
+
+int While::GetCondSubgraphIndex() const { return this->primitive_->value.AsWhile()->condSubgraphIndex; }
+int While::GetBodySubgraphIndex() const { return this->primitive_->value.AsWhile()->bodySubgraphIndex; }
+
+int While::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs) {
+  if (this->primitive_ == nullptr) {
+    this->primitive_ = new (std::nothrow) schema::PrimitiveT;
+    if (this->primitive_ == nullptr) {
+      MS_LOG(ERROR) << "new primitiveT failed";
+      return RET_ERROR;
+    }
+    this->primitive_->value.type = schema::PrimitiveType_While;
+  }
+  if (this->primitive_->value.type != schema::PrimitiveType_While) {
+    MS_LOG(ERROR) << "Primitive type is error :" << this->primitive_->value.type;
+    return RET_ERROR;
+  }
+  if (this->primitive_->value.value == nullptr) {
+    auto attr = new (std::nothrow) schema::WhileT();
+    if (attr == nullptr) {
+      MS_LOG(ERROR) << "new primitiveT value failed";
+      return RET_ERROR;
+    }
+    attr->bodySubgraphIndex = GetValue<bool>(prim.GetAttr("body_subgraph_index"));
+    attr->condSubgraphIndex = GetValue<bool>(prim.GetAttr("cond_subgraph_index"));
+    this->primitive_->value.value = attr;
+    if (this->primitive_->value.value == nullptr) {
+      MS_LOG(ERROR) << "primitive value is nullptr";
+      return RET_ERROR;
+    }
+  }
+  return RET_OK;
+}
+
+#else
+
+int While::GetCondSubgraphIndex() const { return this->primitive_->value_as_While()->condSubgraphIndex(); }
+int While::GetBodySubgraphIndex() const { return this->primitive_->value_as_While()->bodySubgraphIndex(); }
+
+int While::UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers::FlatBufferBuilder *fbb) {
+  MS_ASSERT(nullptr != primitive);
+  MS_ASSERT(nullptr != fbb);
+  auto attr = primitive->value_as_While();
+  if (attr == nullptr) {
+    MS_LOG(ERROR) << "value_as_While return nullptr";
+    return RET_ERROR;
+  }
+  auto cond_subgraph_index = attr->condSubgraphIndex();
+  auto body_subgraph_index = attr->bodySubgraphIndex();
+  auto val_offset = schema::CreateWhile(*fbb, body_subgraph_index, cond_subgraph_index);
+  auto prim_offset = schema::CreatePrimitive(*fbb, schema::PrimitiveType_While, val_offset.o);
+  fbb->Finish(prim_offset);
+  return RET_OK;
+}
+
+PrimitiveC *WhileCreator(const schema::Primitive *primitive) { return PrimitiveC::NewPrimitiveC<While>(primitive); }
+Registry WhileRegistry(schema::PrimitiveType_While, WhileCreator);
+
+#endif
+
+int While::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outputs_) {
+  if (inputs_.size() != outputs_.size()) {
+    MS_LOG(ERROR) << "The number of inputs and outputs varies";
+    return RET_ERROR;
+  }
+  for (size_t i = 0; i < inputs_.size(); i++) {
+    outputs_[i]->set_data_type(inputs_[i]->data_type());
+    outputs_[i]->SetFormat(inputs_[i]->GetFormat());
+    outputs_[i]->set_shape(inputs_[i]->shape());
+  }
+
+  return RET_OK;
+}
+}  // namespace lite
+}  // namespace mindspore

mindspore/lite/src/ops/while.h

@@ -0,0 +1,51 @@
+/**
+ * Copyright 2019-2020 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 LITE_MINDSPORE_LITE_C_OPS_WHILE_H_
+#define LITE_MINDSPORE_LITE_C_OPS_WHILE_H_
+
+#include <vector>
+#include <set>
+#include <cmath>
+#include <memory>
+
+#include "src/ops/primitive_c.h"
+
+namespace mindspore {
+namespace lite {
+class While : public PrimitiveC {
+ public:
+#ifdef PRIMITIVE_WRITEABLE
+  MS_DECLARE_PARENT(While, PrimitiveC);
+  While() = default;
+  explicit While(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
+  int UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs) override;
+  void SetCondSubgraphIndex(const int cond_subgraph_index);
+  void SetBodySubgraphIndex(const int body_subgraph_index);
+
+#else
+  While() = default;
+
+  int UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers::FlatBufferBuilder *fbb) override;
+#endif
+  int InferShape(std::vector<lite::Tensor *> inputs_, std::vector<lite::Tensor *> outputs_) override;
+  int GetCondSubgraphIndex() const;
+  int GetBodySubgraphIndex() const;
+};
+}  // namespace lite
+}  // namespace mindspore
+
+#endif  // LITE_MINDSPORE_LITE_C_OPS_WHERE_H_

mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteActivationParser::Parse(TfliteTensorsInfo *tensors_info,
                                      const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                     const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                     const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                     const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -75,10 +76,8 @@ STATUS TfliteActivationParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_Activation;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_activation_parser.h

@@ -30,7 +30,8 @@ class TfliteActivationParser : public TfliteNodeParser {
   TfliteActivationParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteReluParser : public TfliteActivationParser {

mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteAddNParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                               const std::unique_ptr<tflite::ModelT> &tflite_model,
+                               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteAddNParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -41,16 +42,14 @@ STATUS TfliteAddNParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
     return RET_NULL_PTR;
   }
 
-  attr->N = tflite_model->subgraphs[0]->tensors.size() - 1;
+  attr->N = tflite_subgraph->tensors.size() - 1;
   op->primitive->value.type = schema::PrimitiveType_AddN;
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_addn_parser.h

@@ -30,7 +30,8 @@ class TfliteAddNParser : public TfliteNodeParser {
   TfliteAddNParser() : TfliteNodeParser("AddN") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteArgmaxParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteArgmaxParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -47,7 +48,7 @@ STATUS TfliteArgmaxParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
 
   // get axis attr
   auto axis_idx = tflite_op->inputs[1];
-  auto buffer_idx = tflite_model->subgraphs[0]->tensors[axis_idx]->buffer;
+  auto buffer_idx = tflite_subgraph->tensors[axis_idx]->buffer;
   auto &buf_data = tflite_model->buffers[buffer_idx];
   if (buf_data == nullptr) {
     MS_LOG(ERROR) << "the buf data is null";
@@ -63,10 +64,8 @@ STATUS TfliteArgmaxParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.type = schema::PrimitiveType_ArgMax;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_argmax_parser.h

@@ -30,7 +30,8 @@ class TfliteArgmaxParser : public TfliteNodeParser {
   TfliteArgmaxParser() : TfliteNodeParser("Argmax") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteArgminParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteArgminParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -47,7 +48,7 @@ STATUS TfliteArgminParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
 
   // get axis attr
   auto axis_idx = tflite_op->inputs[1];
-  auto buffer_idx = tflite_model->subgraphs[0]->tensors[axis_idx]->buffer;
+  auto buffer_idx = tflite_subgraph->tensors[axis_idx]->buffer;
   auto &buf_data = tflite_model->buffers[buffer_idx];
   if (buf_data == nullptr) {
     MS_LOG(ERROR) << "the buf data is null";
@@ -63,10 +64,8 @@ STATUS TfliteArgminParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.type = schema::PrimitiveType_ArgMin;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_argmin_parser.h

@@ -30,7 +30,8 @@ class TfliteArgminParser : public TfliteNodeParser {
   TfliteArgminParser() : TfliteNodeParser("Argmin") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteDoubleInputOpParser::Parse(TfliteTensorsInfo *tensors_info,
                                         const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                        const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                        const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                        const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -168,17 +169,16 @@ STATUS TfliteDoubleInputOpParser::Parse(TfliteTensorsInfo *tensors_info,
 
   // set input
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 
 STATUS TfliteSingleInputOpParser::Parse(TfliteTensorsInfo *tensors_info,
                                         const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                        const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                        const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                        const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -305,16 +305,15 @@ STATUS TfliteSingleInputOpParser::Parse(TfliteTensorsInfo *tensors_info,
     op->primitive->value.value = attr.release();
   }
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 
 STATUS TfliteCompareOpParser::Parse(TfliteTensorsInfo *tensors_info,
                                     const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                    const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                    const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                    const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -385,11 +384,9 @@ STATUS TfliteCompareOpParser::Parse(TfliteTensorsInfo *tensors_info,
   }
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_arithmetic_parser.h

@@ -30,7 +30,8 @@ class TfliteDoubleInputOpParser : public TfliteNodeParser {
   TfliteDoubleInputOpParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteAddParser : public TfliteDoubleInputOpParser {
@@ -93,7 +94,8 @@ class TfliteSingleInputOpParser : public TfliteNodeParser {
   TfliteSingleInputOpParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteAbsParser : public TfliteSingleInputOpParser {
@@ -161,7 +163,8 @@ class TfliteCompareOpParser : public TfliteNodeParser {
   TfliteCompareOpParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteEqualParser : public TfliteCompareOpParser {

mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.cc

@@ -25,7 +25,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteBatchToSpaceParser::Parse(TfliteTensorsInfo *tensors_info,
                                        const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                       const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                       const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                       const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -51,12 +52,11 @@ STATUS TfliteBatchToSpaceParser::Parse(TfliteTensorsInfo *tensors_info,
     return RET_NULL_PTR;
   }
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers,
-                    attr->blockShape)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->blockShape)) {
     MS_LOG(ERROR) << "get batchToSpace -> blockShape failed";
     return RET_ERROR;
   }
-  if (GetTfliteData(tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->crops)) {
+  if (GetTfliteData(tflite_op->inputs[2], tflite_subgraph->tensors, tflite_model->buffers, attr->crops)) {
     MS_LOG(ERROR) << "get batchToSpace -> crops failed";
     return RET_ERROR;
   }
@@ -64,10 +64,8 @@ STATUS TfliteBatchToSpaceParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_BatchToSpace;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_space_parser.h

@@ -30,7 +30,8 @@ class TfliteBatchToSpaceParser : public TfliteNodeParser {
   TfliteBatchToSpaceParser() : TfliteNodeParser("BatchToSpace") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteBatchToSpaceNDParser : public TfliteBatchToSpaceParser {

mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteBroadcastToParser::Parse(TfliteTensorsInfo *tensors_info,
                                       const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                      const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                      const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                      const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteBroadcastToParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -42,8 +43,7 @@ STATUS TfliteBroadcastToParser::Parse(TfliteTensorsInfo *tensors_info,
     return RET_NULL_PTR;
   }
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers,
-                    attr->dst_shape)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->dst_shape)) {
     MS_LOG(ERROR) << "get broadCastTo -> dst_shape failed";
     return RET_ERROR;
   }
@@ -51,10 +51,8 @@ STATUS TfliteBroadcastToParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_BroadcastTo;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_broadcast_to_parser.h

@@ -30,7 +30,8 @@ class TfliteBroadcastToParser : public TfliteNodeParser {
   TfliteBroadcastToParser() : TfliteNodeParser("BroadcastTo") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteCastParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                               const std::unique_ptr<tflite::ModelT> &tflite_model,
+                               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteCastParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -40,13 +41,13 @@ STATUS TfliteCastParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
     return RET_NULL_PTR;
   }
 
-  const auto &in_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[0]];
+  const auto &in_tensor = tflite_subgraph->tensors[tflite_op->inputs[0]];
   if (in_tensor == nullptr) {
     MS_LOG(ERROR) << "tensor is null";
     return RET_NULL_PTR;
   }
   attr->srcT = GetTfliteDataType(in_tensor->type);
-  const auto &out_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->outputs[0]];
+  const auto &out_tensor = tflite_subgraph->tensors[tflite_op->outputs[0]];
   if (out_tensor == nullptr) {
     MS_LOG(ERROR) << "tensor is null";
     return RET_NULL_PTR;
@@ -56,10 +57,8 @@ STATUS TfliteCastParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
   op->primitive->value.type = schema::PrimitiveType_Cast;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_cast_parser.h

@@ -30,7 +30,8 @@ class TfliteCastParser : public TfliteNodeParser {
   TfliteCastParser() : TfliteNodeParser("Cast") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteConcatParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteConcatParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -52,11 +53,9 @@ STATUS TfliteConcatParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_concat_parser.h

@@ -30,7 +30,8 @@ class TfliteConcatParser : public TfliteNodeParser {
   TfliteConcatParser() : TfliteNodeParser("Concat") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                               const std::unique_ptr<tflite::ModelT> &tflite_model,
+                               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteConvParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -57,7 +58,7 @@ STATUS TfliteConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
 
   // get the conv op weight tensor
   auto weight_index = tflite_op->inputs[1];
-  const auto &weight_tensor = tflite_model->subgraphs[0]->tensors[weight_index];
+  const auto &weight_tensor = tflite_subgraph->tensors[weight_index];
   if (weight_tensor == nullptr) {
     MS_LOG(ERROR) << "the weight tensor is null";
     return RET_NULL_PTR;
@@ -70,7 +71,7 @@ STATUS TfliteConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
 
   // calculate pad params
   auto data_index = tflite_op->inputs[0];
-  const auto &data_tensor = tflite_model->subgraphs[0]->tensors[data_index];
+  const auto &data_tensor = tflite_subgraph->tensors[data_index];
   std::vector<int> params;
   int status =
     getPaddingParam(data_tensor, attr->padMode, attr->strideH, attr->strideW, attr->kernelH, attr->kernelW, &params);
@@ -87,14 +88,10 @@ STATUS TfliteConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
   op->primitive->value.type = schema::PrimitiveType_Conv2D;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_KHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_KHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_conv_parser.h

@@ -30,7 +30,8 @@ class TfliteConvParser : public TfliteNodeParser {
   TfliteConvParser() : TfliteNodeParser("Conv2D") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_custom_parser.cc

@@ -139,14 +139,15 @@ STATUS TfliteCustomParser::ExtractFeatures(const std::vector<uint8_t> &custom_at
 
 STATUS TfliteCustomParser::Rfft(const std::vector<uint8_t> &custom_attr, schema::CNodeT *op,
                                 const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph) {
   std::unique_ptr<schema::RfftT> attr = std::make_unique<schema::RfftT>();
   if (attr == nullptr) {
     MS_LOG(ERROR) << "new op failed";
     return RET_NULL_PTR;
   }
   std::vector<int> fft_length;
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, fft_length)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, fft_length)) {
     MS_LOG(ERROR) << "rfft -> fftLength get failed";
     return RET_ERROR;
   }
@@ -181,7 +182,8 @@ STATUS TfliteCustomParser::FftImag(const std::vector<uint8_t> &custom_attr, sche
 }
 
 STATUS TfliteCustomParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteCustomParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -209,7 +211,7 @@ STATUS TfliteCustomParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   } else if (custom_type == "Mfcc") {
     status = Mfcc(custom_attr, op, tflite_op);
   } else if (custom_type == "FlexRFFT") {
-    status = Rfft(custom_attr, op, tflite_op, tflite_model);
+    status = Rfft(custom_attr, op, tflite_op, tflite_model, tflite_subgraph);
   } else if (custom_type == "FlexReal") {
     status = FftReal(custom_attr, op, tflite_op);
   } else if (custom_type == "FlexImag") {
@@ -222,12 +224,10 @@ STATUS TfliteCustomParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
     return status;
   }
   for (size_t i = 0; i < tflite_op->inputs.size(); ++i) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
   for (size_t i = 0; i < tflite_op->outputs.size(); ++i) {
-    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_model->subgraphs[0]->tensors.size(),
-                schema::Format::Format_NHWC);
+    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
   return status;
 }

mindspore/lite/tools/converter/parser/tflite/tflite_custom_parser.h

@@ -30,7 +30,8 @@ class TfliteCustomParser : public TfliteNodeParser {
   TfliteCustomParser() : TfliteNodeParser("Custom") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 
   STATUS DetectPostProcess(const std::vector<uint8_t> &custom_attr, schema::CNodeT *op,
                            const std::unique_ptr<tflite::OperatorT> &tflite_op);
@@ -51,7 +52,8 @@ class TfliteCustomParser : public TfliteNodeParser {
                          const std::unique_ptr<tflite::OperatorT> &tflite_op);
 
   STATUS Rfft(const std::vector<uint8_t> &custom_attr, schema::CNodeT *op,
-              const std::unique_ptr<tflite::OperatorT> &tflite_op, const std::unique_ptr<tflite::ModelT> &tflite_model);
+              const std::unique_ptr<tflite::OperatorT> &tflite_op, const std::unique_ptr<tflite::ModelT> &tflite_model,
+              const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph);
 
   STATUS FftReal(const std::vector<uint8_t> &custom_attr, schema::CNodeT *op,
                  const std::unique_ptr<tflite::OperatorT> &tflite_op);

mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteDeConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse tflite Transpose_Conv parser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -58,7 +59,7 @@ STATUS TfliteDeConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
 
   // get the conv op weight tensor
   auto weight_index = tflite_op->inputs[1];
-  const auto &weight_tensor = tflite_model->subgraphs[0]->tensors[weight_index];
+  const auto &weight_tensor = tflite_subgraph->tensors[weight_index];
   if (weight_tensor == nullptr) {
     MS_LOG(ERROR) << "the weight tensor is null";
     return RET_NULL_PTR;
@@ -71,7 +72,7 @@ STATUS TfliteDeConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
 
   // calculate pad params
   auto data_index = tflite_op->inputs[2];
-  const auto &data_tensor = tflite_model->subgraphs[0]->tensors[data_index];
+  const auto &data_tensor = tflite_subgraph->tensors[data_index];
   std::vector<int> params;
   int status =
     getPaddingParam(data_tensor, attr->padMode, attr->strideH, attr->strideW, attr->kernelH, attr->kernelW, &params);
@@ -88,12 +89,9 @@ STATUS TfliteDeConvParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.type = schema::PrimitiveType_DeConv2D;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_KHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_KHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.h

@@ -30,7 +30,8 @@ class TfliteDeConvParser : public TfliteNodeParser {
   TfliteDeConvParser() : TfliteNodeParser("DeConv2D") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteDepthToSpaceParser::Parse(TfliteTensorsInfo *tensors_info,
                                        const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                       const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                       const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                       const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteDepthToSpaceParser";
 
   if (op == nullptr) {
@@ -54,10 +55,8 @@ STATUS TfliteDepthToSpaceParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_DepthToSpace;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_depth_to_space_parser.h

@@ -30,7 +30,8 @@ class TfliteDepthToSpaceParser : public TfliteNodeParser {
   TfliteDepthToSpaceParser() : TfliteNodeParser("DepthToSpace") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.cc

@@ -23,7 +23,9 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteDepthwiseConv2DParser::Parse(TfliteTensorsInfo *tensors_info,
                                           const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                          const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                          const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                          const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+                                          schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteDepthwiseConv2DParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -58,7 +60,7 @@ STATUS TfliteDepthwiseConv2DParser::Parse(TfliteTensorsInfo *tensors_info,
 
   // get the data tensor
   auto data_index = tflite_op->inputs[1];
-  const auto &data_tensor = tflite_model->subgraphs[0]->tensors[data_index];
+  const auto &data_tensor = tflite_subgraph->tensors[data_index];
   if (data_tensor == nullptr) {
     MS_LOG(ERROR) << "the data tensor is null";
     return RET_NULL_PTR;
@@ -68,7 +70,7 @@ STATUS TfliteDepthwiseConv2DParser::Parse(TfliteTensorsInfo *tensors_info,
 
   // get the weight tensor
   auto weight_index = tflite_op->inputs[1];
-  const auto &weight_tensor = tflite_model->subgraphs[0]->tensors[weight_index];
+  const auto &weight_tensor = tflite_subgraph->tensors[weight_index];
   if (weight_tensor == nullptr) {
     MS_LOG(ERROR) << "the weight tensor is null";
     return RET_NULL_PTR;
@@ -94,14 +96,10 @@ STATUS TfliteDepthwiseConv2DParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_DepthwiseConv2D;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_KHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_KHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_depthwise_conv_parser.h

@@ -30,7 +30,8 @@ class TfliteDepthwiseConv2DParser : public TfliteNodeParser {
   TfliteDepthwiseConv2DParser() : TfliteNodeParser("DepthwiseConv2D") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_dequantize_parser.cc

@@ -22,7 +22,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteDequantizeParser::Parse(TfliteTensorsInfo *tensors_info,
                                      const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                     const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                     const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                     const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteDequantizeNParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -34,12 +35,12 @@ STATUS TfliteDequantizeParser::Parse(TfliteTensorsInfo *tensors_info,
     return RET_NULL_PTR;
   }
 
-  const auto &in_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[0]];
+  const auto &in_tensor = tflite_subgraph->tensors[tflite_op->inputs[0]];
   if (in_tensor == nullptr) {
     MS_LOG(ERROR) << "input tensor is null";
     return RET_NULL_PTR;
   }
-  const auto &out_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->outputs[0]];
+  const auto &out_tensor = tflite_subgraph->tensors[tflite_op->outputs[0]];
   if (out_tensor == nullptr) {
     MS_LOG(ERROR) << "output tensor is null";
     return RET_NULL_PTR;
@@ -68,10 +69,8 @@ STATUS TfliteDequantizeParser::Parse(TfliteTensorsInfo *tensors_info,
     op->primitive->value.type = schema::PrimitiveType_Cast;
   }
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_dequantize_parser.h

@@ -29,7 +29,8 @@ class TfliteDequantizeParser : public TfliteNodeParser {
   TfliteDequantizeParser() : TfliteNodeParser("Dequantize") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.cc

@@ -23,7 +23,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteExpandDimsParser::Parse(TfliteTensorsInfo *tensors_info,
                                      const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                     const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                     const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                     const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteExpandDimsParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -41,17 +42,15 @@ STATUS TfliteExpandDimsParser::Parse(TfliteTensorsInfo *tensors_info,
     return RET_NULL_PTR;
   }
   std::vector<int> dims;
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, dims)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, dims)) {
     MS_LOG(ERROR) << "get expand_dims -> dim failed";
     return RET_ERROR;
   }
   attr->dim = dims[0];
   op->primitive->value.type = schema::PrimitiveType_ExpandDims;
   op->primitive->value.value = attr.release();
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 TfliteNodeRegister g_tfliteExpandDimsParser("ExpandDims", new TfliteExpandDimsParser());

mindspore/lite/tools/converter/parser/tflite/tflite_expand_dims_parser.h

@@ -30,7 +30,8 @@ class TfliteExpandDimsParser : public TfliteNodeParser {
   TfliteExpandDimsParser() : TfliteNodeParser("ExpandDims") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteFillParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                               const std::unique_ptr<tflite::ModelT> &tflite_model,
+                               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteFillParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -41,7 +42,7 @@ STATUS TfliteFillParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
   }
 
   if (tflite_op->inputs.size() > 1) {
-    if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->dims)) {
+    if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->dims)) {
       MS_LOG(ERROR) << "get fill -> dims failed";
       return RET_ERROR;
     }
@@ -50,10 +51,8 @@ STATUS TfliteFillParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
   op->primitive->value.type = schema::PrimitiveType_Fill;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_fill_parser.h

@@ -30,7 +30,8 @@ class TfliteFillParser : public TfliteNodeParser {
   TfliteFillParser() : TfliteNodeParser("Fill") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.cc

@@ -23,7 +23,9 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteFullyConnectedParser::Parse(TfliteTensorsInfo *tensors_info,
                                          const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                         const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                         const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                         const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+                                         schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteFullyConnectedParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -57,16 +59,12 @@ STATUS TfliteFullyConnectedParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_FullConnection;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_KHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_KHWC);
   if (hasBias) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_fullyconnected_parser.h

@@ -30,7 +30,8 @@ class TfliteFullyConnectedParser : public TfliteNodeParser {
   TfliteFullyConnectedParser() : TfliteNodeParser("FullyConnected") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteFakeQuantParser : public TfliteFullyConnectedParser {

mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteGatherNdParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                   const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                   const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                   const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteGatherNdParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -46,11 +47,9 @@ STATUS TfliteGatherNdParser::Parse(TfliteTensorsInfo *tensors_info, const std::u
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_gather_nd_parser.h

@@ -30,7 +30,8 @@ class TfliteGatherNdParser : public TfliteNodeParser {
   TfliteGatherNdParser() : TfliteNodeParser("GatherND") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteGatherParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteGatherParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -52,11 +53,9 @@ STATUS TfliteGatherParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_gather_parser.h

@@ -30,7 +30,8 @@ class TfliteGatherParser : public TfliteNodeParser {
   TfliteGatherParser() : TfliteNodeParser("Gather") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_hashtable_lookup_parser.cc

@@ -23,7 +23,9 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteHashtableLookupParser::Parse(TfliteTensorsInfo *tensors_info,
                                           const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                          const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                          const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                          const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+                                          schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteHashtableLookupParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -44,12 +46,10 @@ STATUS TfliteHashtableLookupParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_HashtableLookup;
   op->primitive->value.value = attr.release();
   for (size_t i = 0; i < tflite_op->inputs.size(); ++i) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
   for (size_t i = 0; i < tflite_op->outputs.size(); ++i) {
-    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_model->subgraphs[0]->tensors.size(),
-                schema::Format::Format_NHWC);
+    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
   return RET_OK;
 }

mindspore/lite/tools/converter/parser/tflite/tflite_hashtable_lookup_parser.h

@@ -30,7 +30,8 @@ class TfliteHashtableLookupParser : public TfliteNodeParser {
   TfliteHashtableLookupParser() : TfliteNodeParser("HashtableLookup") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_l2norm_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteL2NormParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteL2NormParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -49,10 +50,8 @@ STATUS TfliteL2NormParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.value = attr.release();
 
   // set input and output
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_l2norm_parser.h

@@ -30,7 +30,8 @@ class TfliteL2NormParser : public TfliteNodeParser {
   TfliteL2NormParser() : TfliteNodeParser("L2_NORMALIZATION") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteLogicalParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                  const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                  const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                  const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -67,11 +68,9 @@ STATUS TfliteLogicalParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
   }
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_logical_parser.h

@@ -30,7 +30,8 @@ class TfliteLogicalParser : public TfliteNodeParser {
   TfliteLogicalParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteLogicalAndParser : public TfliteLogicalParser {

mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteLRNParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                              const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                              const std::unique_ptr<tflite::ModelT> &tflite_model,
+                              const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteLRNParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -53,10 +54,8 @@ STATUS TfliteLRNParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique
   op->primitive->value.type = schema::PrimitiveType_LocalResponseNormalization;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_lrn_parser.h

@@ -30,7 +30,8 @@ class TfliteLRNParser : public TfliteNodeParser {
   TfliteLRNParser() : TfliteNodeParser("LocalResponseNorm") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_lsh_projection_parser.cc

@@ -23,7 +23,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteLshProjectionParser::Parse(TfliteTensorsInfo *tensors_info,
                                         const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                        const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                        const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                        const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteLshProjectionParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -56,11 +57,9 @@ STATUS TfliteLshProjectionParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); ++i) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_lsh_projection_parser.h

@@ -30,7 +30,8 @@ class TfliteLshProjectionParser : public TfliteNodeParser {
   TfliteLshProjectionParser() : TfliteNodeParser("LshProjection") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc

@@ -116,7 +116,7 @@ STATUS TfliteModelParser::ConvertOp(const std::unique_ptr<tflite::ModelT> &tflit
       continue;
     }
     if (status == RET_OK) {
-      status = node_parser->Parse(&tensorsInfo, tflite_op, tflite_model, op.get());
+      status = node_parser->Parse(&tensorsInfo, tflite_op, tflite_model, tflite_subgraph, op.get());
       if (status != RET_OK) {
         if (status == RET_NOT_FIND_OP) {
           op_type =
@@ -337,18 +337,10 @@ STATUS TfliteModelParser::ConvertGroupDepthwiseOp(schema::MetaGraphT *sub_graph)
   return RET_OK;
 }
 
-schema::MetaGraphT *TfliteModelParser::ParseToFb(const std::string &model_file, const std::string &weight_file,
-                                                 const QuantType &quant_type) {
-  // load graph
-  auto tflite_model = ReadTfliteModel(model_file.c_str());
-  if (tflite_model == nullptr) {
-    MS_LOG(ERROR) << "read tflite model failed";
-    ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_GRAPH_FILE_ERR);
-    return nullptr;
-  }
-
-  if (tflite_model->subgraphs.size() != 1) {
-    MS_LOG(ERROR) << "read tflite model subgraphs failed";
+std::unique_ptr<schema::MetaGraphT> TfliteModelParser::ConstructMainGraph(
+  const std::unique_ptr<tflite::ModelT> &tflite_model, const QuantType &quant_type) {
+  if (tflite_model->subgraphs.size() < 1) {
+    MS_LOG(ERROR) << "read tflite model main subgraphs failed";
     ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_GRAPH_FILE_ERR);
     return nullptr;
   }
@@ -394,7 +386,28 @@ schema::MetaGraphT *TfliteModelParser::ParseToFb(const std::string &model_file,
     return nullptr;
   }
 
-  return meta_graph.release();
+  return meta_graph;
+}
+
+schema::MetaGraphT *TfliteModelParser::ParseToFb(const std::string &model_file, const std::string &weight_file,
+                                                 const QuantType &quant_type) {
+  // load graph
+  auto tflite_model = ReadTfliteModel(model_file.c_str());
+  if (tflite_model == nullptr) {
+    MS_LOG(ERROR) << "read tflite model failed";
+    ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_GRAPH_FILE_ERR);
+    return nullptr;
+  }
+
+  // construct main_meta_graph
+  auto main_meta_graph = ConstructMainGraph(tflite_model, quant_type);
+  if (main_meta_graph == nullptr) {
+    MS_LOG(ERROR) << "ConstructMainGraph failed";
+    ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_GRAPH_FILE_ERR);
+    return nullptr;
+  }
+
+  return main_meta_graph.release();
 }
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h

@@ -64,6 +64,9 @@ class TfliteModelParser : public ModelParser {
 
   STATUS ConvertGroupDepthwiseOp(schema::MetaGraphT *sub_graph);
 
+  std::unique_ptr<schema::MetaGraphT> ConstructMainGraph(const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                                         const QuantType &quant_type);
+
  private:
   TfliteTensorsInfo tensorsInfo;
   std::vector<schema::TensorT *> tensors;

mindspore/lite/tools/converter/parser/tflite/tflite_node_parser.h

@@ -39,7 +39,8 @@ class TfliteNodeParser {
   virtual ~TfliteNodeParser() = default;
 
   virtual STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                       const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) = 0;
+                       const std::unique_ptr<tflite::ModelT> &tflite_model,
+                       const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) = 0;
 
   void AddOpInput(schema::CNodeT *op, TfliteTensorsInfo *tensors_info, int idx, int total, schema::Format format) {
     int new_idx = tensors_info->tensorsId.size();

mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteOneHotParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteOneHotParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -46,7 +47,7 @@ STATUS TfliteOneHotParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
     return RET_NULL_PTR;
   }
   auto axis = tflite_attr->axis;
-  const auto &tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[0]];
+  const auto &tensor = tflite_subgraph->tensors[tflite_op->inputs[0]];
   if (tensor == nullptr) {
     MS_LOG(ERROR) << "tensor is null";
     return RET_NULL_PTR;
@@ -57,11 +58,9 @@ STATUS TfliteOneHotParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.h

@@ -30,7 +30,8 @@ class TfliteOneHotParser : public TfliteNodeParser {
   TfliteOneHotParser() : TfliteNodeParser("OneHot") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TflitePadParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                              const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                              const std::unique_ptr<tflite::ModelT> &tflite_model,
+                              const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TflitePadParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -51,8 +52,7 @@ STATUS TflitePadParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique
     }
     attr->paddingMode = schema::PaddingMode_CONSTANT;
     attr->constantValue = 0.0f;
-    if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers,
-                      attr->paddings)) {
+    if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->paddings)) {
       MS_LOG(ERROR) << "get pad -> paddings failed";
       return RET_ERROR;
     }
@@ -81,14 +81,11 @@ STATUS TflitePadParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique
   op->primitive->value.type = schema::PrimitiveType_Pad;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   if (std::strcmp(node_name, "MirrorPad") == 0) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.h

@@ -30,7 +30,8 @@ class TflitePadParser : public TfliteNodeParser {
   TflitePadParser() : TfliteNodeParser("Pad") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TflitePoolingParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                  const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                  const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                  const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -69,7 +70,7 @@ STATUS TflitePoolingParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
 
   // calculate pad params
   auto data_index = tflite_op->inputs[0];
-  const auto &data_tensor = tflite_model->subgraphs[0]->tensors[data_index];
+  const auto &data_tensor = tflite_subgraph->tensors[data_index];
   std::vector<int> params;
   int status =
     getPaddingParam(data_tensor, attr->padMode, attr->strideH, attr->strideW, attr->windowH, attr->windowW, &params);
@@ -86,10 +87,8 @@ STATUS TflitePoolingParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
   op->primitive->value.type = schema::PrimitiveType_Pooling;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_pooling_parser.h

@@ -30,7 +30,8 @@ class TflitePoolingParser : public TfliteNodeParser {
   TflitePoolingParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteMeanPoolingParser : public TflitePoolingParser {

mindspore/lite/tools/converter/parser/tflite/tflite_prelu_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TflitePReLUParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TflitePReLUParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -44,12 +45,9 @@ STATUS TflitePReLUParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   op->primitive->value.type = schema::PrimitiveType_PReLU;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_prelu_parser.h

@@ -30,7 +30,8 @@ class TflitePReLUParser : public TfliteNodeParser {
   TflitePReLUParser() : TfliteNodeParser("PRELU") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_quantize_parser.cc

@@ -21,7 +21,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteQuantizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                   const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                   const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                   const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteQuantizeNParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -33,12 +34,12 @@ STATUS TfliteQuantizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::u
     return RET_NULL_PTR;
   }
 
-  const auto &in_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[0]];
+  const auto &in_tensor = tflite_subgraph->tensors[tflite_op->inputs[0]];
   if (in_tensor == nullptr) {
     MS_LOG(ERROR) << "input tensor is null";
     return RET_NULL_PTR;
   }
-  const auto &out_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->outputs[0]];
+  const auto &out_tensor = tflite_subgraph->tensors[tflite_op->outputs[0]];
   if (out_tensor == nullptr) {
     MS_LOG(ERROR) << "output tensor is null";
     return RET_NULL_PTR;
@@ -67,10 +68,8 @@ STATUS TfliteQuantizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::u
     op->primitive->value.value = attr.release();
   }
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_quantize_parser.h

@@ -29,7 +29,8 @@ class TfliteQuantizeParser : public TfliteNodeParser {
   TfliteQuantizeParser() : TfliteNodeParser("Quantize") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteRangeParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteRangeParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -43,12 +44,12 @@ STATUS TfliteRangeParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   attr->dType = 0;
   std::vector<int> limit;
   std::vector<int> delta;
-  int status = GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, limit);
+  int status = GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, limit);
   if (status != RET_OK && status != RET_NO_CHANGE) {
     MS_LOG(ERROR) << "range -> limit get failed";
     return RET_ERROR;
   } else if (status == RET_OK) {
-    status = GetTfliteData(tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, delta);
+    status = GetTfliteData(tflite_op->inputs[2], tflite_subgraph->tensors, tflite_model->buffers, delta);
     if (status != RET_OK && status != RET_NO_CHANGE) {
       MS_LOG(ERROR) << "stridedSlice -> end get failed";
       return RET_ERROR;
@@ -63,11 +64,9 @@ STATUS TfliteRangeParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
 
   int input_num = status == RET_OK ? 1 : 3;
   for (int i = 0; i < input_num; ++i) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_range_parser.h

@@ -30,7 +30,8 @@ class TfliteRangeParser : public TfliteNodeParser {
   TfliteRangeParser() : TfliteNodeParser("Range") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteRankParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                               const std::unique_ptr<tflite::ModelT> &tflite_model,
+                               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteRankParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -43,10 +44,8 @@ STATUS TfliteRankParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniqu
   op->primitive->value.type = schema::PrimitiveType_Rank;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_rank_parser.h

@@ -30,7 +30,8 @@ class TfliteRankParser : public TfliteNodeParser {
   TfliteRankParser() : TfliteNodeParser("Rank") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteReduceParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -72,7 +73,7 @@ STATUS TfliteReduceParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
     return RET_NOT_SUPPORT;
   }
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->axes)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->axes)) {
     MS_LOG(ERROR) << "get reduce -> axes failed";
     return RET_ERROR;
   }
@@ -80,10 +81,8 @@ STATUS TfliteReduceParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.type = schema::PrimitiveType_Reduce;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_reduce_parser.h

@@ -30,7 +30,8 @@ class TfliteReduceParser : public TfliteNodeParser {
   TfliteReduceParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteReduceMaxParser : public TfliteReduceParser {

mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteReshapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                  const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                  const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                  const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteReshapeParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -47,7 +48,7 @@ STATUS TfliteReshapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
       return RET_ERROR;
     }
     auto shape_tensor_index = tflite_op->inputs[1];
-    const auto &shape_tensor = tflite_model->subgraphs[0]->tensors[shape_tensor_index];
+    const auto &shape_tensor = tflite_subgraph->tensors[shape_tensor_index];
     if (shape_tensor == nullptr) {
       MS_LOG(ERROR) << "shape_tensor is null";
       return RET_NULL_PTR;
@@ -58,8 +59,7 @@ STATUS TfliteReshapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
       return RET_NULL_PTR;
     }
     if (!buf_data->data.empty()) {
-      if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers,
-                        attr->shape)) {
+      if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->shape)) {
         MS_LOG(ERROR) << "get reshape -> shape failed";
         return RET_ERROR;
       }
@@ -76,11 +76,9 @@ STATUS TfliteReshapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
   op->primitive->value.value = attr.release();
 
   for (size_t i = 0; i < tflite_op->inputs.size(); i++) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_reshape_parser.h

@@ -30,7 +30,8 @@ class TfliteReshapeParser : public TfliteNodeParser {
   TfliteReshapeParser() : TfliteNodeParser("Reshape") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.cc

@@ -23,7 +23,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteResizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                 const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                 const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                 const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
     return RET_NULL_PTR;
@@ -87,7 +88,7 @@ STATUS TfliteResizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   attr->preserveAspectRatio = false;
 
   auto tfliteResizeTensorIndex = tflite_op->inputs[1];
-  const auto &shape_tensor = tflite_model->subgraphs[0]->tensors[tfliteResizeTensorIndex];
+  const auto &shape_tensor = tflite_subgraph->tensors[tfliteResizeTensorIndex];
   if (shape_tensor == nullptr) {
     MS_LOG(ERROR) << "shape_tensor is null";
     return RET_NULL_PTR;
@@ -109,14 +110,11 @@ STATUS TfliteResizeParser::Parse(TfliteTensorsInfo *tensors_info, const std::uni
   op->primitive->value.type = schema::PrimitiveType_Resize;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   if (buffData == nullptr) {
-    AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-               schema::Format::Format_NHWC);
+    AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_resize_parser.h

@@ -30,7 +30,8 @@ class TfliteResizeParser : public TfliteNodeParser {
   TfliteResizeParser() : TfliteNodeParser("node_name") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 
 class TfliteResizeBilinearParser : public TfliteResizeParser {

mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteReverseParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                  const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                  const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                  const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteReverseParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -40,7 +41,7 @@ STATUS TfliteReverseParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
     return RET_NULL_PTR;
   }
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->axis)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->axis)) {
     MS_LOG(ERROR) << "get reverse -> axis failed";
     return RET_ERROR;
   }
@@ -48,10 +49,8 @@ STATUS TfliteReverseParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
   op->primitive->value.type = schema::PrimitiveType_Reverse;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_reverse_parser.h

@@ -30,7 +30,8 @@ class TfliteReverseParser : public TfliteNodeParser {
   TfliteReverseParser() : TfliteNodeParser("reverse") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.cc

@@ -24,7 +24,9 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteReverseSequenceParser::Parse(TfliteTensorsInfo *tensors_info,
                                           const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                          const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                          const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                          const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+                                          schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteReverseSequenceParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -53,12 +55,9 @@ STATUS TfliteReverseSequenceParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_ReverseSequence;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_reverse_sequence_parser.h

@@ -30,7 +30,8 @@ class TfliteReverseSequenceParser : public TfliteNodeParser {
   TfliteReverseSequenceParser() : TfliteNodeParser("ReverseSequence") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteScatterNdParser::Parse(TfliteTensorsInfo *tensors_info,
                                     const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                    const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                    const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                    const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteScatterNdParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -52,14 +53,10 @@ STATUS TfliteScatterNdParser::Parse(TfliteTensorsInfo *tensors_info,
 
   // in tflite, kIndices = 0, kUpdates = 1, kShape = 2
   // in mslite, kScatterShapeIndex = 0, kScatterIndicesIndex = 1, kScatterUpdateIndex = 2;
-  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.h

@@ -30,7 +30,8 @@ class TfliteScatterNdParser : public TfliteNodeParser {
   TfliteScatterNdParser() : TfliteNodeParser("ScatterNd") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteShapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteShapeParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -43,10 +44,8 @@ STATUS TfliteShapeParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   op->primitive->value.type = schema::PrimitiveType_Shape;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_shape_parser.h

@@ -30,7 +30,8 @@ class TfliteShapeParser : public TfliteNodeParser {
   TfliteShapeParser() : TfliteNodeParser("Shape") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_skip_gram_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteSkipGramParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                   const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                   const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                   const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSkipGramParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -52,10 +53,8 @@ STATUS TfliteSkipGramParser::Parse(TfliteTensorsInfo *tensors_info, const std::u
   op->primitive->value.type = schema::PrimitiveType_SkipGram;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_skip_gram_parser.h

@@ -30,7 +30,8 @@ class TfliteSkipGramParser : public TfliteNodeParser {
   TfliteSkipGramParser() : TfliteNodeParser("SkipGram") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteSliceParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSliceParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -42,11 +43,11 @@ STATUS TfliteSliceParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
 
   attr->format = schema::Format::Format_NHWC;
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->begin)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->begin)) {
     MS_LOG(ERROR) << "get slice -> begin failed";
     return RET_ERROR;
   }
-  if (GetTfliteData(tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->size)) {
+  if (GetTfliteData(tflite_op->inputs[2], tflite_subgraph->tensors, tflite_model->buffers, attr->size)) {
     MS_LOG(ERROR) << "get slice -> size failed";
     return RET_ERROR;
   }
@@ -59,10 +60,8 @@ STATUS TfliteSliceParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   op->primitive->value.type = schema::PrimitiveType_Slice;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_slice_parser.h

@@ -30,7 +30,8 @@ class TfliteSliceParser : public TfliteNodeParser {
   TfliteSliceParser() : TfliteNodeParser("Slice") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteSoftmaxParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                  const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                  const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                  const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSoftmaxParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -45,10 +46,8 @@ STATUS TfliteSoftmaxParser::Parse(TfliteTensorsInfo *tensors_info, const std::un
   op->primitive->value.type = schema::PrimitiveType_SoftMax;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_softmax_parser.h

@@ -30,7 +30,8 @@ class TfliteSoftmaxParser : public TfliteNodeParser {
   TfliteSoftmaxParser() : TfliteNodeParser("Softmax") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.cc

@@ -24,7 +24,9 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteSpaceToBatchNDParser::Parse(TfliteTensorsInfo *tensors_info,
                                          const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                         const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                         const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                         const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+                                         schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSpaceToBatchNDParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -42,12 +44,11 @@ STATUS TfliteSpaceToBatchNDParser::Parse(TfliteTensorsInfo *tensors_info,
     return RET_NULL_PTR;
   }
 
-  if (GetTfliteData(tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors, tflite_model->buffers,
-                    attr->blockShape)) {
+  if (GetTfliteData(tflite_op->inputs[1], tflite_subgraph->tensors, tflite_model->buffers, attr->blockShape)) {
     MS_LOG(ERROR) << "get spaceToBatchND -> blockShape failed";
     return RET_ERROR;
   }
-  if (GetTfliteData(tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors, tflite_model->buffers, attr->paddings)) {
+  if (GetTfliteData(tflite_op->inputs[2], tflite_subgraph->tensors, tflite_model->buffers, attr->paddings)) {
     MS_LOG(ERROR) << "get spaceToBatchND -> paddings failed";
     return RET_ERROR;
   }
@@ -55,10 +56,8 @@ STATUS TfliteSpaceToBatchNDParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_SpaceToBatchND;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_space_to_batch_nd_parser.h

@@ -30,7 +30,8 @@ class TfliteSpaceToBatchNDParser : public TfliteNodeParser {
   TfliteSpaceToBatchNDParser() : TfliteNodeParser("SpaceToBatchND") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteSpaceToDepthParser::Parse(TfliteTensorsInfo *tensors_info,
                                        const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                       const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                       const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                       const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSpaceToDepthParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -53,10 +54,8 @@ STATUS TfliteSpaceToDepthParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_SpaceToDepth;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_space_to_depth_parser.h

@@ -30,7 +30,8 @@ class TfliteSpaceToDepthParser : public TfliteNodeParser {
   TfliteSpaceToDepthParser() : TfliteNodeParser("SpaceToDepth") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.cc

@@ -24,7 +24,8 @@ namespace mindspore {
 namespace lite {
 STATUS TfliteSparseToDenseParser::Parse(TfliteTensorsInfo *tensors_info,
                                         const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                        const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                        const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                        const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSparseToDenseParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -46,16 +47,11 @@ STATUS TfliteSparseToDenseParser::Parse(TfliteTensorsInfo *tensors_info,
   op->primitive->value.type = schema::PrimitiveType_SparseToDense;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpInput(op, tensors_info, tflite_op->inputs[3], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
-  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_model->subgraphs[0]->tensors.size(),
-              schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[2], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[3], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
+  AddOpOutput(op, tensors_info, tflite_op->outputs[0], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;
 }
 

mindspore/lite/tools/converter/parser/tflite/tflite_sparse_to_dense_parser.h

@@ -30,7 +30,8 @@ class TfliteSparseToDenseParser : public TfliteNodeParser {
   TfliteSparseToDenseParser() : TfliteNodeParser("SparseToDense") {}
 
   STATUS Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-               const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) override;
+               const std::unique_ptr<tflite::ModelT> &tflite_model,
+               const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc

@@ -22,7 +22,8 @@
 namespace mindspore {
 namespace lite {
 STATUS TfliteSplitParser::Parse(TfliteTensorsInfo *tensors_info, const std::unique_ptr<tflite::OperatorT> &tflite_op,
-                                const std::unique_ptr<tflite::ModelT> &tflite_model, schema::CNodeT *op) {
+                                const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph, schema::CNodeT *op) {
   MS_LOG(DEBUG) << "parse TfliteSplitParser";
   if (op == nullptr) {
     MS_LOG(ERROR) << "op is null";
@@ -47,13 +48,13 @@ STATUS TfliteSplitParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   }
   auto num_splits = tflite_attr->num_splits;
 
-  const auto &shape_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[1]];
+  const auto &shape_tensor = tflite_subgraph->tensors[tflite_op->inputs[1]];
   if (shape_tensor == nullptr) {
     MS_LOG(ERROR) << "shape_tensor is null";
     return RET_NULL_PTR;
   }
   const auto tensor_shape = shape_tensor->shape;
-  const auto &axis_tensor = tflite_model->subgraphs[0]->tensors[tflite_op->inputs[0]];
+  const auto &axis_tensor = tflite_subgraph->tensors[tflite_op->inputs[0]];
   if (axis_tensor == nullptr) {
     MS_LOG(ERROR) << "axis_tensor is null";
     return RET_NULL_PTR;
@@ -81,11 +82,9 @@ STATUS TfliteSplitParser::Parse(TfliteTensorsInfo *tensors_info, const std::uniq
   op->primitive->value.type = schema::PrimitiveType_Split;
   op->primitive->value.value = attr.release();
 
-  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_model->subgraphs[0]->tensors.size(),
-             schema::Format::Format_NHWC);
+  AddOpInput(op, tensors_info, tflite_op->inputs[1], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   for (size_t i = 0; i < tflite_op->outputs.size(); i++) {
-    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_model->subgraphs[0]->tensors.size(),
-                schema::Format::Format_NHWC);
+    AddOpOutput(op, tensors_info, tflite_op->outputs[i], tflite_subgraph->tensors.size(), schema::Format::Format_NHWC);
   }
   return RET_OK;
 }