lileidev commented on issue #11684:
URL: https://github.com/apache/tvm/issues/11684#issuecomment-1153132360
didn't reproduce any error on my linux platform.
env:
Python 3.8.10 (default, Mar 15 2022, 12:22:08)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tvm
>>> print(tvm.__version__
test code:
from tvm import relay, IRModule
x = relay.var('x', shape=(4, ))
y = relay.nn.softmax(x, axis=1)
mod = IRModule.from_expr(y)
mod = relay.transform.InferType()(mod)
print(mod)
output:
def @main(%x: Tensor[(4), float32] /* ty=Tensor[(4), float32] */) ->
Tensor[(4), float32] {
nn.softmax(%x, axis=1) /* ty=Tensor[(4), float32] */
}
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