modify depthwise_conv tflite parser and conv-related model

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_conv_parser_test.cc

@@ -28,13 +28,12 @@ TEST_F(TestTfliteParserConv, OpType) {
   ASSERT_NE(meta_graph, nullptr);
   ASSERT_GT(meta_graph->nodes.size(), 0);
   ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
-  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Transpose) << "wrong Op Type";
-  ASSERT_EQ(meta_graph->nodes.at(1)->primitive->value.type, schema::PrimitiveType_Conv2D) << "wrong Op Type";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Conv2D) << "wrong Op Type";
 }
 
 TEST_F(TestTfliteParserConv, AttrValue) {
-  ASSERT_NE(meta_graph->nodes.at(1)->primitive->value.AsConv2D(), nullptr);
-  auto val = meta_graph->nodes.at(1)->primitive->value.AsConv2D();
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsConv2D(), nullptr);
+  auto val = meta_graph->nodes.front()->primitive->value.AsConv2D();
   ASSERT_EQ(val->format, schema::Format_NHWC);
   ASSERT_EQ(val->group, 1);
   ASSERT_EQ(val->activationType, schema::ActivationType_NO_ACTIVATION);

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_deconv_parser_test.cc

@@ -28,13 +28,12 @@ TEST_F(TestTfliteParserDeConv, OpType) {
   ASSERT_NE(meta_graph, nullptr);
   ASSERT_GT(meta_graph->nodes.size(), 0);
   ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
-  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Transpose) << "wrong Op Type";
-  ASSERT_EQ(meta_graph->nodes.at(1)->primitive->value.type, schema::PrimitiveType_DeConv2D) << "wrong Op Type";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_DeConv2D) << "wrong Op Type";
 }
 
 TEST_F(TestTfliteParserDeConv, AttrValue) {
-  ASSERT_NE(meta_graph->nodes.at(1)->primitive->value.AsDeConv2D(), nullptr);
-  auto val = meta_graph->nodes.at(1)->primitive->value.AsDeConv2D();
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsDeConv2D(), nullptr);
+  auto val = meta_graph->nodes.front()->primitive->value.AsDeConv2D();
   ASSERT_EQ(val->format, schema::Format_NHWC);
   ASSERT_EQ(val->group, 1);
   ASSERT_EQ(val->activationType, schema::ActivationType_NO_ACTIVATION);

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_depthwise_conv_parser_test.cc

@@ -28,13 +28,12 @@ TEST_F(TestTfliteParserDepthwiseConv1, OpType) {
   ASSERT_NE(meta_graph, nullptr);
   ASSERT_GT(meta_graph->nodes.size(), 0);
   ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
-  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reshape) << "wrong Op Type";
-  ASSERT_EQ(meta_graph->nodes.at(1)->primitive->value.type, schema::PrimitiveType_Conv2D) << "wrong Op Type";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Conv2D) << "wrong Op Type";
 }
 
 TEST_F(TestTfliteParserDepthwiseConv1, AttrValue) {
-  ASSERT_NE(meta_graph->nodes.at(1)->primitive->value.AsConv2D(), nullptr);
-  auto val = meta_graph->nodes.at(1)->primitive->value.AsConv2D();
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsConv2D(), nullptr);
+  auto val = meta_graph->nodes.front()->primitive->value.AsConv2D();
   ASSERT_EQ(val->format, schema::Format_NHWC);
   ASSERT_EQ(val->group, 0);
   ASSERT_EQ(val->activationType, schema::ActivationType_NO_ACTIVATION);
@@ -64,13 +63,12 @@ TEST_F(TestTfliteParserDepthwiseConv2, OpType) {
   ASSERT_NE(meta_graph, nullptr);
   ASSERT_GT(meta_graph->nodes.size(), 0);
   ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
-  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reshape) << "wrong Op Type";
-  ASSERT_EQ(meta_graph->nodes.at(1)->primitive->value.type, schema::PrimitiveType_DepthwiseConv2D) << "wrong Op Type";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_DepthwiseConv2D) << "wrong Op Type";
 }
 
 TEST_F(TestTfliteParserDepthwiseConv2, AttrValue) {
-  ASSERT_NE(meta_graph->nodes.at(1)->primitive->value.AsDepthwiseConv2D(), nullptr);
-  auto val = meta_graph->nodes.at(1)->primitive->value.AsDepthwiseConv2D();
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsDepthwiseConv2D(), nullptr);
+  auto val = meta_graph->nodes.front()->primitive->value.AsDepthwiseConv2D();
   ASSERT_EQ(val->format, schema::Format_NHWC);
   ASSERT_EQ(val->activationType, schema::ActivationType_NO_ACTIVATION);
   ASSERT_EQ(val->hasBias, true);

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

@@ -222,12 +222,29 @@ STATUS TfliteModelParser::UpdateOp(schema::MetaGraphT* sub_graph) {
     if (op->primitive->value.type == schema::PrimitiveType_DepthwiseConv2D) {
       auto attr = op->primitive->value.AsDepthwiseConv2D();
       if (attr->channelMultiplier > 1) {
-        // update attr
         std::unique_ptr<schema::Conv2DT> conv_attr(new schema::Conv2DT);
+        // get channel attr
+        if (op->inputIndex.empty()) {
+          MS_LOG(ERROR) << "the input of DepthwiseConv2D is null";
+          return RET_NULL_PTR;
+        }
+        auto data_id = op->inputIndex[0];
+        if (sub_graph->allTensors.size() <= data_id) {
+          MS_LOG(ERROR) << "the number of allTensors is less than " << data_id;
+          return RET_ERROR;
+        }
+        auto &data_tensor = sub_graph->allTensors.at(data_id);
+        if (data_tensor == nullptr) {
+          MS_LOG(ERROR) << "the data tensor is null";
+          return RET_NULL_PTR;
+        }
+        auto data_shape = data_tensor->dims;
+        conv_attr->channelIn = data_shape[3];
+        conv_attr->channelOut = conv_attr->channelIn * attr->channelMultiplier;
+
+        // update attr
         conv_attr->group = 0;
         conv_attr->format = attr->format;
-        conv_attr->channelIn = attr->channelIn;
-        conv_attr->channelOut = attr->channelIn * attr->channelMultiplier;
         conv_attr->kernelH = attr->kernelH;
         conv_attr->kernelW = attr->kernelW;
         conv_attr->strideH = attr->strideH;