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Published by anita-intel over 4 years ago
This is a preview release for oneDNN v2.0. The release is a patch release based on DNNL v2.0-beta04.
Binary distribution of this software is available as Intel(R) oneAPI Deep Neural Network Library in Intel(R) oneAPI.
On Linux:
$ sudo bash -c 'echo N > /sys/module/i915/parameters/enable_hangcheck'
On Windows increase TdrDelay and TdrDdiDelay values using registry.
Published by anita-intel over 4 years ago
This is a release candidate for DNNL v1.4. Please provide feedback and report bugs in Github issues.
Published by anita-intel over 4 years ago
dnnl::memory::desc::reshape()
method
dnnl::memory::desc::permute_axes()
) method to change logical axes orderThis release contains contributions from the project core team as well as Araujo Mitrano, Arthur @aaraujom, Aaron Mark Johnson @aaronjohnson, Benjamin Hipple @bhipple, Sergey Nesterov @cepera, @gaurav1086, Ilya Taraban @itaraban, Mesut Meterelliyoz @mmeterel, @nSircombe, Peter Caday @petercad, and Rafik Saliev @rsaliev. We would also like to thank everyone who asked questions and reported issues.
Published by tprimak over 4 years ago
This is a patch release containing following changes to v1.2.1:
Published by tprimak over 4 years ago
This is a release candidate for DNNL v1.3. Please provide feedback and report bugs in Github issues.
Published by tprimak over 4 years ago
This is a patch release containing following changes to v0.21.3:
Published by vpirogov over 4 years ago
This is a patch release containing following changes to v1.2:
Published by anita-intel over 4 years ago
This is a preview release for oneDNN v2.0. The release is based on oneDNN v1.2.
Binary distribution of this software is available as Intel(R) oneAPI Deep Neural Network Library in Intel(R) oneAPI.
On Linux:
$ sudo bash -c 'echo N > /sys/module/i915/parameters/enable_hangcheck'
On Windows increase TdrDelay and TdrDdiDelay values using registry.
Published by anita-intel over 4 years ago
This release contains contributions from the project core team as well as Aaron Johnson @aaronjohnson, Attila T. Áfra @atafra, Ben Fitch, Ilya Taraban @itaraban, Michał Gallus @Sand3r-, Peter Caday @petercad, Qiyou Chen @chenqy4933 and Jun Luan @junluan. We would also like to thank everyone who asked questions and reported issues.
Published by tprimak almost 5 years ago
This is a patch release containing following changes to v0.21.2:
Published by tprimak almost 5 years ago
This is a patch release containing following changes to v1.1.2:
Published by anita-intel almost 5 years ago
This is a release candidate for DNNL v1.2. Please provide feedback and report bugs in Github issues.
Published by tprimak almost 5 years ago
This is a patch release containing following changes to v1.1.1:
Published by tprimak almost 5 years ago
This is a preview release for oneDNN v2.0. The release is based on oneDNN v1.1 and the release notes below include incremental changes.
Binary distribution of this software is available as Intel(R) oneAPI Deep Neural Network Library in Intel(R) oneAPI.
On Linux:
$ sudo bash -c 'echo N > /sys/module/i915/parameters/enable_hangcheck'
On Windows increase TdrDelay and TdrDdiDelay values using registry.
Published by vpirogov almost 5 years ago
This is a patch release containing following changes to v1.0.3:
Published by vpirogov almost 5 years ago
This is a patch release containing following changes to v1.1:
N=1
(0dd5c13ff7d8efac73818952a4fc143fa2d4371e)any
(53019818512939394cf919c3b3bfe333c488a15c)Published by vpirogov almost 5 years ago
This is a patch release containing following changes to v1.0.2:
any
(e979edae6c3d39ccf39cfed8855980eb00777cf0)unimplemented
for cases that have padding in spatial dimensions (9d7cc77816e374760693401a2ee05334e98d68f7)h
and d
spatial dimensions (7ddce823f9363e55005bbd27eeee3c97436aa20b)Published by vpirogov about 5 years ago
This is a patch release containing following changes to v0.20.5:
Published by tprimak about 5 years ago
This is a patch release containing following changes to v0.21.1:
Published by anita-intel about 5 years ago
any
for memory-bound primitives backpropagation. This mechanism allows to match gradient memory format with source and destination memory formats from forward pass.This release contains contributions from many Intel Performance Libraries developers as well as Ilia Taraban, Jacek Czaja @jczaja, William Tambellini @WilliamTambellini, Tomasz Kalina, Mateusz Guziak, Daniel Haidachuk, Konstantin Basargin @basargin, Aaron Johnson @aaronjohnson, and Jeremy Wong @jrmwng. We would also like to thank everyone who asked questions and reported issues.