adjust onnx upsample

mindspore/lite/schema/ops.fbs

@@ -352,7 +352,7 @@ table FakeQuantWithMinMaxVars {
 }
 
 table BiasAdd {
-    axis: [int];
+    axis: [int];  // DEPRECATED
 }
 
 table ROIPooling {

mindspore/lite/src/ops/bias_add.cc

@@ -24,10 +24,6 @@
 namespace mindspore {
 namespace lite {
 #ifdef PRIMITIVE_WRITEABLE
-std::vector<int> BiasAdd::GetAxis() const { return this->primitive_->value.AsBiasAdd()->axis; }
-
-void BiasAdd::SetAxis(const std::vector<int> &axis) { this->primitive_->value.AsBiasAdd()->axis = axis; }
-
 int BiasAdd::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs) {
   if (this->primitive_ == nullptr) {
     this->primitive_ = new (std::nothrow) schema::PrimitiveT;
@@ -67,21 +63,11 @@ int BiasAdd::UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers
     MS_LOG(ERROR) << "value_as_BiasAdd return nullptr";
     return RET_ERROR;
   }
-  std::vector<int32_t> axis;
-  if (attr->axis() != nullptr) {
-    for (int i = 0; i < static_cast<int>(attr->axis()->size()); i++) {
-      axis.push_back(attr->axis()->data()[i]);
-    }
-  }
-  auto val_offset = schema::CreateBiasAddDirect(*fbb, &axis);
+  auto val_offset = schema::CreateBiasAddDirect(*fbb);
   auto prim_offset = schema::CreatePrimitive(*fbb, schema::PrimitiveType_BiasAdd, val_offset.o);
   fbb->Finish(prim_offset);
   return RET_OK;
 }
-std::vector<int> BiasAdd::GetAxis() const {
-  auto fb_vector = this->primitive_->value_as_BiasAdd()->axis();
-  return std::vector<int>(fb_vector->begin(), fb_vector->end());
-}
 
 PrimitiveC *BiasAddCreator(const schema::Primitive *primitive) { return PrimitiveC::NewPrimitiveC<BiasAdd>(primitive); }
 Registry BiasAddRegistry(schema::PrimitiveType_BiasAdd, BiasAddCreator);

mindspore/lite/src/ops/bias_add.h

@@ -33,11 +33,9 @@ class BiasAdd : public PrimitiveC {
   MS_DECLARE_PARENT(BiasAdd, PrimitiveC);
   explicit BiasAdd(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
   int UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inputs) override;
-  void SetAxis(const std::vector<int> &axis);
 #else
   int UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers::FlatBufferBuilder *fbb) override;
 #endif
-  std::vector<int> GetAxis() const;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/parser/onnx/onnx_upsample_parser.cc

@@ -38,22 +38,17 @@ STATUS OnnxUpsampleParser::Parse(const onnx::GraphProto &onnx_graph, const onnx:
     return RET_NULL_PTR;
   }
 
+  attr->method = schema::ResizeMethod_NEAREST;
   for (const auto &onnx_node_attr : onnx_node.attribute()) {
     const auto &attribute_name = onnx_node_attr.name();
     if (attribute_name == "mode") {
-      if ("nearest" == onnx_node_attr.s()) {
-        attr->method = schema::ResizeMethod_NEAREST;
-      } else if ("bilinear" == onnx_node_attr.s()) {
-        attr->method = schema::ResizeMethod_LINEAR;
-      } else {
-        MS_LOG(ERROR) << "Resize do not support upsample mode";
-        return RET_ERROR;
+      if (onnx_node_attr.s() != "nearest" && onnx_node_attr.s() != "linear") {
+        MS_LOG(ERROR) << "the upsample mode don't support now.";
+        return RET_NOT_SUPPORT;
       }
+      attr->method = onnx_node_attr.s() == "nearest" ? schema::ResizeMethod_NEAREST : schema::ResizeMethod_LINEAR;
     }
   }
-  attr->newWidth = 1;
-  attr->newHeight = 1;
-  attr->alignCorners = false;
   op->primitive->value.type = schema::PrimitiveType_Resize;
   op->primitive->value.value = attr.release();
   return RET_OK;