Damian Nardelli

I just ran some tests for this long text: https://pastebin.com/raw/FE3maftq I see tons of `scala.collection.immutable.$colon$colon` object instances are getting created consuming almost 10gb of data to process that text I...

Hello @santisra could you please clarify what @davidrissato is asking for? I think it's important to understand from the documentation if the AtomicCounter issue can be worked around or not...

Can torch.cuda.amp be used only for inferences on a FP32 model? See https://github.com/NVIDIA/apex/issues/750 and https://github.com/NVIDIA/apex/issues/809 I couldn't find an example in https://pytorch.org/docs/master/notes/amp_examples.html Maybe just wrapping up the model call with...

@mcarilli what about the opt_level O1 / O2 , etc... I can't find whether that's already natively supported by `torch.cuda.amp` - it looks like there's no opt_level option in `torch.cuda.amp`...

Another question: Will this be supported by Torchscript?

I reduced the amount of memory with `torch.no_grad()`... But fp16 definitely improved the inference times in pytorch. What times are you getting for tensorflow and for what length of tokens?

Hi. I've been very busy lately to try out this project w/ postgres. Could you please show me your app config that you tried for postgres and also the exception...

Is this issue also going to add support for searching numeric fields through the `search` command? I've noticed that for `QueryParser` to work correctly w/ numeric fields you need to...

You can always set up a dead letter queue to identify and isolate the wrong SQS messages. I just created Pull Request https://github.com/awslabs/amazon-sqs-java-extended-client-lib/pull/33 in case setting up a dead letter...

hey @ptrblck - I just ran into this issue while doing some investigation. I'm uncertain whether apex O1 mode can be used on a FP32 trained model without apex. Please...