A Fast, Extensible Progress Bar for Python and CLI
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Updated
Nov 16, 2020 - Python
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A Fast, Extensible Progress Bar for Python and CLI
LightGBM component: R package
Operating System: macOS 10.14
C++ compiler version: gcc 8.1.0
CMake version: 3.17.3
R version: 4.0.2
LightGBM version or commit hash: https://github.com/microsoft/LightGBM/tree/c07644d1d71540204a9b56f26667e8180bd009e2
Thanks to @Laurae2 for sharing this with m
Napa.js: a multi-threaded JavaScript runtime
PR #6447 adds a public API to get the maximum number of registers per thread (numba.cuda.Dispatcher.get_regs_per_thread()). There are other attributes that might be nice to provide - shared memory per block, local memory per thread, const memory usage, maximum block size.
These are all available in the FuncAttr named tuple: https://github.com/numba/numba/blob/master/numba/cuda/cudadrv/drive
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seed = 128
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I was executing a few “larger” builds through the bui
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This project now lives on in a rewrite at https://gitlab.redox-os.org/redox-os/parallel
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The asynchronous functionality of parallel-ssh is very much appreciated for management tasks. Thank you for this!
For the feature request:
It seems that the open_session() can keep worker allocated for much longer than expected in failure cases. Would it be reasonable to stretch the timeout option of wait_socket() to open_session() ?
Add a description, image, and links to the parallel topic page so that developers can more easily learn about it.
To associate your repository with the parallel topic, visit your repo's landing page and select "manage topics."
What is the problem?
Using tune.suggest.Repeater does not work when trying to resume a search and leads to an error like this upon resume: