Miguel Martínez
Miguel Martínez
I think this feature request is still relevant.
Hi, In the code above, we have a series where the column datatype is a list. Each row it that series may contain different values, i.e.: > [1, 3, 5,...
Hi, Congratulations on the recent announcement of lists support on cuDF. I hope this feature request could be considered for next release (0.20). Thanks!
Hi @randerzander , I think that your proposal is similar to the workaround we are using currently, detailed at the top of this issue . That would imply to first...
Thank you! I was not aware of it! :-)
Hi, it looks like the following workaround works 100% in GPU memory. Could someone please confirm it? Thanks! ``` import cudf df = cudf.DataFrame({"a": [[1, 3, 5, 7], [2, 8,...
Hi, I have gone through this thread and, somehow, I do not fully understand the rationale behind the design approach of always creating the tensor into host memory, when invoking...
Hi, I would say this issue is still relevant. The bug I mentioned in my original comment is still present. I have just tried it with 22.09 version of TF2....
I managed to hide those warnings adding **silence_logs=logging.ERROR** as follows: ``` import logging cluster = LocalCUDACluster(threads_per_worker=1, silence_logs=logging.ERROR) client = Client(cluster) ``` Nevertheless, I think it is well-worth to investigate if...
I think this issue is still relevant.