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[ Upstream commit 7a65ee046b2238e053f6ebb610e1a082cfc49490 ] When doing training, the DL framework (e.g. tensorflow) performs hundreds of thousands of memory allocations and mappings. In case the driver needs to perform hard-reset during training, the driver kills the application and unmaps all those memory allocations. Unfortunately, because of that large amount of mappings, the driver isn't able to do that in the current timeout (5 seconds). Therefore, increase the timeout significantly to 30 seconds to avoid situation where the driver resets the device with active mappings, which sometime can cause a kernel bug. BTW, it doesn't mean we will spend all the 30 seconds because the reset thread checks every one second if the unmap operation is done. Reviewed-by: Omer Shpigelman <oshpigelman@habana.ai> Signed-off-by: Oded Gabbay <oded.gabbay@gmail.com> Signed-off-by: Sasha Levin <sashal@kernel.org> |
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Linux kernel
============
There are several guides for kernel developers and users. These guides can
be rendered in a number of formats, like HTML and PDF. Please read
Documentation/admin-guide/README.rst first.
In order to build the documentation, use ``make htmldocs`` or
``make pdfdocs``. The formatted documentation can also be read online at:
https://www.kernel.org/doc/html/latest/
There are various text files in the Documentation/ subdirectory,
several of them using the Restructured Text markup notation.
Please read the Documentation/process/changes.rst file, as it contains the
requirements for building and running the kernel, and information about
the problems which may result by upgrading your kernel.