ashutosh-arm commented on code in PR #12970:
URL: https://github.com/apache/tvm/pull/12970#discussion_r985985300
##########
tests/python/contrib/test_ethosn/test_fullyconnected.py:
##########
@@ -30,7 +32,11 @@ def _get_model(
):
"""Return a model an any parameters it may have"""
a = relay.var("a", shape=shape, dtype=dtype)
- weights_array = tvm.nd.array(np.ones(weight_shape, dtype))
+ weights_array = tvm.nd.array(
+ np.random.randint(
+ np.iinfo(dtype).min, high=np.iinfo(dtype).max, size=weight_shape,
dtype=dtype
Review Comment:
Would it be better to have a separate function providing range based on
dtype? We do have something similar in microNPU?
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