diff --git a/builtin_op_importers.cpp b/builtin_op_importers.cpp
index d62d555e..b91cbb45 100644
--- a/builtin_op_importers.cpp
+++ b/builtin_op_importers.cpp
@@ -2445,11 +2445,11 @@ DEFINE_BUILTIN_OP_IMPORTER(Resize)
 
     auto mode = attrs.get<std::string>("mode", "nearest");
     auto resizeMode = mode == "nearest" ? nvinfer1::ResizeMode::kNEAREST : nvinfer1::ResizeMode::kLINEAR;
+    auto transformationMode = attrs.get<std::string>("coordinate_transformation_mode", "half_pixel");
 
     if (ctx->getOpsetVersion() >= 11)
     {
-        auto transformationMode = attrs.get<std::string>("coordinate_transformation_mode", "half_pixel");
-        ASSERT((transformationMode == "asymmetric") && "This version of TensorRT only supports asymmetric resize!",
+        ASSERT(((transformationMode == "asymmetric") || (transformationMode == "align_corners")) && "This version of TensorRT only supports asymmetric and align_corners resize!",
             ErrorCode::kUNSUPPORTED_NODE);
         ASSERT(mode != "cubic" && "This version of TensorRT does not support cubic interpolation!",
             ErrorCode::kUNSUPPORTED_NODE);
@@ -2464,11 +2464,14 @@ DEFINE_BUILTIN_OP_IMPORTER(Resize)
             auto* resizeShape = &convertToTensor(inputs.at(3), ctx);
             layer->setInput(1, *resizeShape);
             layer->setResizeMode(resizeMode);
+            if (transformationMode=="align_corners")
+                layer->setAlignCorners(true);
             RETURN_FIRST_OUTPUT(layer);
         }
     }
 
     // Resizes that use scale factors have the same import logic between opsets
+    ASSERT(transformationMode != "align_corners" && "Align_corners should use size information not scale factors!", ErrorCode::kUNSUPPORTED_NODE);
     auto scales = ctx->getOpsetVersion() >= 11 ? inputs.at(2) : inputs.at(1);
     ASSERT(scales.is_weights() && "Resize scales must be an initializer!", ErrorCode::kUNSUPPORTED_NODE);
     ShapedWeights scales_weights = scales.weights();