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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/11/10 11:17:39 UTC

[GitHub] [tvm] leandron commented on a diff in pull request #12042: [TFLite] Enable int64 biases for int16 quantized operators

leandron commented on code in PR #12042:
URL: https://github.com/apache/tvm/pull/12042#discussion_r1018973953


##########
tests/python/contrib/test_ethosn/test_convert_equivalents.py:
##########
@@ -227,7 +227,7 @@ def expected():
 @requires_ethosn
 @pytest.mark.parametrize(
     "dtype,shape,constant_shape",
-    [("int16", (1, 16, 12, 4), None)],
+    [("float32", (1, 16, 12, 4), None)],

Review Comment:
   The use of `int16` here was just to create an invalid test case, that raises an exception. With `int16` now supported, then using `float32` will make that effect.



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