diff --git a/python/tvm/relay/frontend/common.py b/python/tvm/relay/frontend/common.py
index eeede181f6f9..7a1e98402996 100755
--- a/python/tvm/relay/frontend/common.py
+++ b/python/tvm/relay/frontend/common.py
@@ -609,13 +609,16 @@ def try_infer_value(val, on_success=None, on_failure=None, parameters=None):
         return val, False
 
 
-def shape_of(x, dtype="int64"):
+def shape_of(x, dtype="int64", start=None, end=None):
     """Get shape of a tensor."""
 
     ttype = infer_type(x).checked_type
     if not _ty.is_dynamic(ttype):
         shape = list(ttype.shape)
-        return _expr.const(shape, dtype)
+        start = start or 0  # default to first
+        end = end or len(shape)  # default to last
+        shape_sliced = shape[start:end]
+        return _expr.const(shape_sliced, dtype)
     return _op.shape_of(x, dtype)
 
 
diff --git a/python/tvm/relay/frontend/onnx.py b/python/tvm/relay/frontend/onnx.py
index 04fb17abbb19..36ee3aea0f89 100644
--- a/python/tvm/relay/frontend/onnx.py
+++ b/python/tvm/relay/frontend/onnx.py
@@ -1394,6 +1394,12 @@ class Shape(OnnxOpConverter):
     def _impl_v1(cls, inputs, attr, params):
         return shape_of(inputs[0], "int64")
 
+    @classmethod
+    def _impl_v15(cls, inputs, attr, params):
+        start = attr.get("start")
+        end = attr.get("end")
+        return shape_of(inputs[0], dtype="int64", start=start, end=end)
+
 
 class CumSum(OnnxOpConverter):
     """Operator converter for CumSum."""
diff --git a/tests/python/frontend/onnx/test_forward.py b/tests/python/frontend/onnx/test_forward.py
index 91775d27b2de..0dea96dcf5e9 100644
--- a/tests/python/frontend/onnx/test_forward.py
+++ b/tests/python/frontend/onnx/test_forward.py
@@ -5082,12 +5082,6 @@ def verify_eyelike(indata):
     "test_round",
     "test_sequence_insert_at_back",
     "test_sequence_insert_at_front",
-    "test_shape_end_1",
-    "test_shape_end_negative_1",
-    "test_shape_start_1",
-    "test_shape_start_1_end_2",
-    "test_shape_start_1_end_negative_1",
-    "test_shape_start_negative_1",
     "test_simple_rnn_batchwise",
     "test_simple_rnn_defaults",
     "test_simple_rnn_with_initial_bias",