fkm3
fkm3
Are you getting this same error? Or, are you getting the error reported in https://github.com/tensorflow/haskell/issues/190?
I've released a new version to hackage, so the generated files should align with the newest proto-lens version that we claim to support. Does that fix the issue your experiencing?...
Not sure what you mean. Our `select` is the same as the python `tf.where`. Both `tf.cond` and `tf.where` act on the values of the predicate at graph execution time, but...
Yeah, it is the same general problem, someone needs to add the gradient implementation for `minimum`. You will also hit the same issue for `expm1` I'd guess. There is already...
There is a builtin implementation of elu https://tensorflow.github.io/haskell/haddock/tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:elu and its gradient function https://tensorflow.github.io/haskell/haddock/tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:eluGrad, so that might be the easier route. (though you'd still need to plug that gradient function into...
Also meant to ask, `IORING_OP_WRITEV` seems to support a `-1` offset but doesn't mention it. Is that OK to rely on?
Any thoughts? Thanks
Not sure how these changes could cause that FreeBSD build failure
> What's the motivation to update nix? I want to update the version of `nix` used in the Android Open Source Project and we try to keep only one version...
I wonder if it would make sense for the tokio tests to use the `libc` crate directly instead. There are also some API doc examples using `nix` though.