- 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
Christian Goll
5b96d272bf