Adam V

I use `widen` a lot, and this makes me worried upgrading other projects past 3.2.0 @odersky Specifically, without the `widen` the minimized code fails with ```scala val tl: Tuple.Map[T, List]...

For what it's worth, this does work: ```scala // in main.scala import compiletime.ops.int.S type RepeatN[T, I T *: RepeatN[T, n] abstract class Pair: val ar: Array[Int] object Utils: inline def...

I suspect the following issue is related to this: ```scala trait X[T]: val value = "X" given X[Int]() transparent inline def f[T](x: T) = summonFrom { case xt: X[T] =>...

I found this single line in the "Semantics-Preserving Inlining for Metaprogramming" paper on the topic: > Unlike the inline if, this reduction is not necessarily equivalent to its runtime counterpart...

That makes it so a chain of `calling -> inline match -> summonFrom` like in https://github.com/lampepfl/dotty/issues/13774#issuecomment-946696449 can never work? The reason being that inline match works on static types, hence...

I have the same problem using: Debian 9 Tensorflow .12 GPU Python 3.5

I upgraded tensorflow-gpu to 0.12.0rc1 and tflearn to 0.2.2 and this build seems broken. In the tflearn config file: ``` _FLOATX = tf.float32 AttributeError: module 'tensorflow' has no attribute 'float32'...

What system setup and tflearn/tensorflow versions are you using? With the latest (git) libs I still get the same error, and I'm sadly not able to find information about it...

Alright, found it. It was a tensorflow issue, tho I do not know that exactly. > https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.0rc1-cp35-cp35m-linux_x86_64.whl (Watch out, download link!) Worked for me, while nor the latest build (git)...

Correct.