fix onnx pool parser, Fixed striped_sclice memory out of bounds

mindspore/lite/src/ops/strided_slice.cc

@@ -254,18 +254,17 @@ int StridedSlice::InferShape(std::vector<lite::Tensor *> inputs, std::vector<lit
   auto input = inputs.at(0);
   outputs.front()->set_data_type(input->data_type());
   outputs[0]->SetFormat(input->GetFormat());
-  if (!GetInferFlag()) {
-    return RET_OK;
-  }
   MS_ASSERT(input != nullptr);
   auto input_shape = input->shape();
-  std::vector<int> output_shape;
+  auto inferflag = GetInferFlag();
 
   if (inputs.size() == kStridedSliceInputNum) {
     ndim_ = static_cast<int>(GetBegin().size());
 
     for (int i = 0; i < ndim_; i++) {
-      in_shape_.emplace_back(input_shape.at(i));
+      if (inferflag) {
+        in_shape_.emplace_back(input_shape.at(i));
+      }
       begins_.emplace_back((GetBegin())[i]);
       ends_.emplace_back((GetEnd())[i]);
       strides_.emplace_back((GetStride())[i]);
@@ -282,7 +281,9 @@ int StridedSlice::InferShape(std::vector<lite::Tensor *> inputs, std::vector<lit
     }
     ndim_ = begin_tensor->ElementsNum();
     for (int i = 0; i < ndim_; ++i) {
-      in_shape_.emplace_back(input_shape.at(i));
+      if (inferflag) {
+        in_shape_.emplace_back(input_shape.at(i));
+      }
       begins_.emplace_back(begin_data[i]);
       ends_.emplace_back(end_data[i]);
       strides_.emplace_back(stride_data[i]);
@@ -310,6 +311,10 @@ int StridedSlice::InferShape(std::vector<lite::Tensor *> inputs, std::vector<lit
   ApplyEndMask();
   ApplyEllipsisMask();
 
+  if (!inferflag) {
+    return RET_OK;
+  }
+  std::vector<int> output_shape;
   output_shape.clear();
   output_shape.resize(in_shape_.size());
 

mindspore/lite/test/models_onnx.cfg

@@ -1,6 +1,7 @@
 mtk_detect-mbv2-shortcut-400-400-simplified.onnx
 mtk_emotions-d2012-75.8%.onnx
 mtk_face_features_v3.onnx
+emotion-ferplus-8.onnx
 ml_face_3d.onnx
 gts_version-RFB-320_simplified.onnx
 mnist-8.onnx

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

@@ -89,7 +89,11 @@ STATUS OnnxPoolParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::Nod
       }
     }
     if (attribute_name == "ceil_mode") {
-      attr->roundMode = schema::RoundMode_CEIL;
+      if (onnx_node_attr.f() == 0) {
+        attr->roundMode = schema::RoundMode_FLOOR;
+      } else {
+        attr->roundMode = schema::RoundMode_CEIL;
+      }
     }
     if (attribute_name == "dilations") {
       MS_LOG(ERROR) << "pooling op not support dilations now";