uxlfoundation/oneDNN v3.9.2

on GitHub

This is a patch release containing the following changes to v3.9.1:

• Fixed correctness issue in int8 convolution on processors with Intel AVX2 and Intel DL Boost instruction set support (a7c4079, 78e781f)
• Fixed performance regression for f32 convolution primitive on processors with Intel AVX-512 instruction set support (74f23b4)
• Fixed performance regression for RNN primitive with LBR GRU cell type on Intel Arc GPUs (ae2844e)
• Fixed performance regression for int8 convolution primitive when using zero points (dbb8484)
• Fixed segmentation fault in matmul primitive when using ONEDNN_VERBOSE=all (7310aa2)
• Fixed correctness issue in multi-dimensional matmul primitive on Intel Xeon processors with Intel AMX instruction set support (formerly Sapphire Rapids and Granite Rapids) (642d18b)
• Reduced problem size in test_sdpa_decomp test (9bff06e)
• Restricted test_sdpa_decomp and test_mqa_decomp tests to OMP or THREADPOOL CPU runtimes (3cd9170)
• Fixed illegal instruction issue in pooling primitive on processors with Intel SSE4.1 support (d907c47)
• Fixed segmentation fault issue in f16 backward convolution primitive on processors with Intel AVX2 with Intel DL Boost with float16 and bfloat16 support (50cc228, fcc7e5e)
• Restored support for int8 matmul with per_oc scales and zero points on Intel Arc GPUs (1a5a454, 04c22c9)