diff --git a/python/tvm/relay/op/dyn/image/_image.py b/python/tvm/relay/op/dyn/image/_image.py
index fa528e9a202d..2d36708af04f 100644
--- a/python/tvm/relay/op/dyn/image/_image.py
+++ b/python/tvm/relay/op/dyn/image/_image.py
@@ -40,37 +40,31 @@ def compute_resize(attrs, inputs, out_type):
 
 reg.register_injective_schedule("dyn.image.resize")
 
-
 @script
-def _NCHW_resize_shape_func(dshape, size, ndim):
+def _resize_shape_func(dshape, size, ndim, height_axis, width_axis):
     out = output_tensor((ndim, ), "int64")
     for i in const_range(ndim):
         out[i] = int64(dshape[i])
-    out[2] = int64(size[0])
-    out[3] = int64(size[1])
+    out[height_axis] = int64(size[0])
+    out[width_axis] = int64(size[1])
     return out
 
-
-@script
-def _NHWC_resize_shape_func(dshape, size, ndim):
-    out = output_tensor((ndim, ), "int64")
-    for i in const_range(ndim):
-        out[i] = int64(dshape[i])
-    out[1] = int64(size[0])
-    out[2] = int64(size[1])
-    return out
-
-
 @reg.register_shape_func("dyn.image.resize", True)
 def resize_shape_func(attrs, inputs, _):
     """
     Shape function for dyn.image.resize op.
     """
     layout = attrs.layout
-    if layout == 'NHWC':
-        out = [_NHWC_resize_shape_func(inputs[0].shape, inputs[1], convert(len(inputs[0].shape)))]
-    elif (layout == 'NCHW') or nchw_pack_layout(layout) or nchw_xc_layout(layout):
-        out = [_NCHW_resize_shape_func(inputs[0].shape, inputs[1], convert(len(inputs[0].shape)))]
+    if nchw_pack_layout(layout) or nchw_xc_layout(layout):
+        out = [_resize_shape_func(inputs[0].shape, inputs[1], convert(len(inputs[0].shape)),
+                                  convert(2), convert(3))]
     else:
-        raise ValueError("Resize Unsupported Layout", layout)
+        height_axis = width_axis = 1
+        for i, letter in enumerate(layout):
+            if letter == "H":
+                height_axis = i
+            if letter == "W":
+                width_axis = i
+        out = [_resize_shape_func(inputs[0].shape, inputs[1], convert(len(inputs[0].shape)),
+                                  convert(height_axis), convert(width_axis))]
     return out