diff --git a/source/tnn/network/tensorrt/layer_builder/strided_slice_v2_layer_builder.cc b/source/tnn/network/tensorrt/layer_builder/strided_slice_v2_layer_builder.cc
index 80c14fe21..b26943a53 100644
--- a/source/tnn/network/tensorrt/layer_builder/strided_slice_v2_layer_builder.cc
+++ b/source/tnn/network/tensorrt/layer_builder/strided_slice_v2_layer_builder.cc
@@ -75,6 +75,13 @@ ILayer* StrideSliceV2TRTLayerBuilder::AddToNetwork(INetworkDefinition* network)
                 end_dim[param->axes[i]] = param->begins[param->axes[i]] + dim[param->axes[i]];
         }
     }
+
+    if (stride_dim.size() == 0 && input_tensors.size() < 5) { // stride defaults to 1
+        stride_dim = DimsVector(axes.size() > 0 ? axes.size() : dims.size(), 1);
+    }
+    // NOTE & TODO: when input_tensors[3] exists, should we accept it as axes?
+    // NOTE & TODO: when input_tensors[4] exists, should we accept it as strides?
+
     axes = ShapeTensor(1, std::move(axes_dim));
     strides = ShapeTensor(1, std::move(stride_dim));
 
diff --git a/source/tnn/network/tensorrt/layer_builder/upsample_layer_builder.cc b/source/tnn/network/tensorrt/layer_builder/upsample_layer_builder.cc
index 469fe3085..a58c8b34a 100644
--- a/source/tnn/network/tensorrt/layer_builder/upsample_layer_builder.cc
+++ b/source/tnn/network/tensorrt/layer_builder/upsample_layer_builder.cc
@@ -119,14 +119,17 @@ ILayer* UpsampleTRTPluginLayerBuilder::AddToNetwork(INetworkDefinition* network)
                     }
                 }
             } else {
-                if (output_dims.size() == 4) {
+                auto trt_dim = input_tensor->getDimensions();
+                if (output_dims.size() == 4 || (output_dims.size() == 0 && trt_dim.nbDims == 4)) {
+                    // NOTE: keep 2nd condition until dims or rank of blob can be tracked in dynamic shape scenario
                     float scale[4];
                     scale[0] = 1;
                     scale[1] = 1;
                     scale[2] = paramlist->scales[1];
                     scale[3] = paramlist->scales[0];
                     layer->setScales(scale, 4);
-                } else if (output_dims.size() == 5) {
+                } else if (output_dims.size() == 5 || (output_dims.size() == 0 && trt_dim.nbDims == 5)) {
+                    // NOTE: keep 2nd condition until dims or rank of blob can be tracked in dynamic shape scenario
                     float scale[5];
                     scale[0] = 1;
                     scale[1] = 1;