jwfromm commented on code in PR #14282:
URL: https://github.com/apache/tvm/pull/14282#discussion_r1134343862
##########
tests/python/relax/test_relax_operators.py:
##########
@@ -193,5 +193,20 @@ def test_op_shape_of():
assert constrained_shape == tvm.runtime.ShapeTuple([1])
[email protected]_module
+class TensorToShapeTest:
+ @R.function
+ def run_tensor_to_shape(t: R.Tensor(ndim=1, dtype="int64")) -> R.Shape((1,
2, 3)):
+ gv: R.Shape(ndim=3) = R.tensor_to_shape(t)
+ return gv
+
+
+def test_op_tensor_to_shape():
+ out_shape = run_cpu(
+ TensorToShapeTest, "run_tensor_to_shape", tvm.nd.array(np.array([1, 2,
3]).astype("int64"))
Review Comment:
Noting my comment above, I'm not sure this is the proper behavior. The input
tensor has `ndim=1`. Should the produced shape really have `ndim=3`?
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