fix onnx parser bug

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

@@ -38,6 +38,7 @@ STATUS OnnxReduceParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::N
     return RET_NULL_PTR;
   }
 
+  attr->keepDims = 1;
   for (const auto &onnx_node_attr : onnx_node.attribute()) {
     const auto &attribute_name = onnx_node_attr.name();
     if (attribute_name == "axes") {
@@ -58,6 +59,10 @@ STATUS OnnxReduceParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::N
     attr->mode = schema::ReduceMode_ReduceMin;
   } else if (type == "ReduceSum") {
     attr->mode = schema::ReduceMode_ReduceSum;
+  } else if (type == "ReduceProd") {
+    attr->mode = schema::ReduceMode_ReduceProd;
+  } else if (type == "ReduceSumSquare") {
+    attr->mode = schema::ReduceMode_ReduceSumSquare;
   } else {
     MS_LOG(ERROR) << "unsupported type";
     return RET_ERROR;

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

@@ -86,23 +86,27 @@ STATUS OnnxPReluParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::No
     }
   }
 
-  const onnx::TensorProto *slope = &params[0];
-  if (slope == nullptr) {
-    MS_LOG(ERROR) << "input error: params[0] is null";
-    return RET_ERROR;
-  }
-  const auto slope_raw_data = reinterpret_cast<const float *>(slope->raw_data().data());
-  const int64_t slope_size = slope->raw_data().size() / sizeof(float);
-  if (slope_size == 1) {
-    attr->slope.push_back(*slope_raw_data);
-    attr->channelShared = true;
-  } else {
-    attr->slope.resize(slope_size);
-    attr->channelShared = false;
-    if (memcpy_s(attr->slope.data(), slope_size * sizeof(float), slope_raw_data, slope_size * sizeof(float)) != 0) {
-      MS_LOG(ERROR) << "memcpy_s failed";
+  if (!params.empty()) {
+    const onnx::TensorProto *slope = &params[0];
+    if (slope == nullptr) {
+      MS_LOG(ERROR) << "input error: params[0] is null";
       return RET_ERROR;
     }
+    const auto slope_raw_data = reinterpret_cast<const float *>(slope->raw_data().data());
+    const int64_t slope_size = slope->raw_data().size() / sizeof(float);
+    if (slope_size == 1) {
+      attr->slope.push_back(*slope_raw_data);
+      attr->channelShared = true;
+    } else {
+      attr->slope.resize(slope_size);
+      attr->channelShared = false;
+      if (memcpy_s(attr->slope.data(), slope_size * sizeof(float), slope_raw_data, slope_size * sizeof(float)) != 0) {
+        MS_LOG(ERROR) << "memcpy_s failed";
+        return RET_ERROR;
+      }
+    }
+  } else {
+    MS_LOG(WARNING) << "The slope pf prelu is null, which may cause errors.";
   }
 
   op->primitive->value.type = schema::PrimitiveType_PReLU;