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forked from pool/onednn

Accepting request 1130129 from home:cabelo:branches:science:machinelearning

- Update to 3.3.1:
- This is a patch release containing the following changes to v3.3:
  * Fixed int8 convolution accuracy issue on Intel GPUs (09c87c7)
  * Switched internal stream to in-order mode for NVIDIA and AMD GPUs to avoid synchronization issues (db01d62)
  * Fixed runtime error for avgpool_bwd operation in Graph API (d025ef6, 9e0602a, e0dc1b3)
  * Fixed benchdnn error reporting for some Graph API cases (98dc9db)
  * Fixed accuracy issue in experimental Graph Compiler for int8 MHA variant from StarCoder model (5476ef7)
  * Fixed incorrect results for layer normalization with trivial dimensions on Intel GPUs (a2ec0a0)
  * Removed redundant synchronization for out-of-order SYCL queues (a96e9b1)
  * Fixed runtime error in experimental Graph Compiler for int8 MLP subgraph from LLAMA model (595543d)
  * Fixed SEGFAULT in experimental Graph Compiler for fp32 MLP subgraph (4207105)
  * Fixed incorrect results in experimental Graph Compiler for MLP subgraph (57e14b5)
  * Fixed the issue with f16 inner product primitive with s8 output returning unimplemented on Intel GPUs (bf12207, 800b5e9, ec7054a)
  * Fixed incorrect results for int8 deconvolution with zero-points on processors with Intel AMX instructions support (55d2cec)

OBS-URL: https://build.opensuse.org/request/show/1130129
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/onednn?expand=0&rev=24
This commit is contained in:
Christian Goll 2023-12-01 07:45:53 +00:00 committed by Git OBS Bridge
parent 03fe166e18
commit 5b96d272bf
4 changed files with 22 additions and 4 deletions

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-------------------------------------------------------------------
Fri Dec 1 04:33:49 UTC 2023 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
- Update to 3.3.1:
- This is a patch release containing the following changes to v3.3:
* Fixed int8 convolution accuracy issue on Intel GPUs (09c87c7)
* Switched internal stream to in-order mode for NVIDIA and AMD GPUs to avoid synchronization issues (db01d62)
* Fixed runtime error for avgpool_bwd operation in Graph API (d025ef6, 9e0602a, e0dc1b3)
* Fixed benchdnn error reporting for some Graph API cases (98dc9db)
* Fixed accuracy issue in experimental Graph Compiler for int8 MHA variant from StarCoder model (5476ef7)
* Fixed incorrect results for layer normalization with trivial dimensions on Intel GPUs (a2ec0a0)
* Removed redundant synchronization for out-of-order SYCL queues (a96e9b1)
* Fixed runtime error in experimental Graph Compiler for int8 MLP subgraph from LLAMA model (595543d)
* Fixed SEGFAULT in experimental Graph Compiler for fp32 MLP subgraph (4207105)
* Fixed incorrect results in experimental Graph Compiler for MLP subgraph (57e14b5)
* Fixed the issue with f16 inner product primitive with s8 output returning unimplemented on Intel GPUs (bf12207, 800b5e9, ec7054a)
* Fixed incorrect results for int8 deconvolution with zero-points on processors with Intel AMX instructions support (55d2cec)
-------------------------------------------------------------------
Tue Oct 10 05:53:25 UTC 2023 - Paolo Stivanin <info@paolostivanin.com>

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%define libname libdnnl3
Name: onednn
Version: 3.3
Version: 3.3.1
Release: 0
Summary: Intel Math Kernel Library for Deep Neural Networks
License: Apache-2.0