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I really couldn't figure out why even by reading normalize()TfEnv() and ProxyEnv()'s source code. It seems like I should be able to have access to the underlying wrapped class, so I added a candy() method and call it, but it would tell me that "NormalizedEnv" object has no attribute candy.
This is weird because the first line of NormalizedEnv is:
Allows users to log histograms to TensorBoard using the new record_histogram API.
This PR also starts organizing TensorBoard outputs into their own class.
I'm creating my own custom environment:
The result is weirdly False.
I really couldn't figure out why even by reading
normalize()
TfEnv()
andProxyEnv()
's source code. It seems like I should be able to have access to the underlying wrapped class, so I added acandy()
method and call it, but it would tell me that "NormalizedEnv" object has no attributecandy
.This is weird because the first line of NormalizedEnv is:
and for ProxyEnv it's:
Why is this happening?
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