Onednn

Latest version: v2025.0.0

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0.21rc

This is a release candidate for Intel MKL-DNN v0.21. Please provide feedback and report bugs in [Github issues](https://github.com/intel/mkl-dnn/issues).

0.20.6

This is a patch release containing following changes to v0.20.5:
* Fixed performance regression in GEMM (cfc5c3db91685584efe4c8c46b4b488ee80a8959)

0.20.5

This is a patch release containing following changes to Intel MKL-DNN v0.20.4:
* Fixed out of bound memory access in GEMM-based grouped convolution weight update (3deeafa47e73fafac7943fbc05c076cdc7247c9d)
* Fixed segmentation fault in AVX512 convolution for effective negative padding (f231ada6fb67c6bb7e31befcea6fb8b3e88b50ca)
* Fixed correctness issue in strided depthwise convolution (d7484cbd7b95a969552b295ed2f160ce7246f5fd)

0.20.4

This is a patch release containing following changes to Intel MKL-DNN v0.20.3:
* Fixed memory corruption issue in backward convolution with 1x1 kernel and asymmetrical strides (095ddb840721b313612035b60d45cbbee12e270f)
* Fixed correctness issue in backward convolution (eb330079e36fccfd93e30ec9e9580320d2ff4c41)

0.20.3

This is a patch release containing following changes to Intel MKL-DNN v0.20.2:
* Fixed correctness issue in backward pooling with 3d-spatial and negative right padding (c0ddfec6c0d82d51934aa69a4c26f5f9e0145799)

0.20.2

This is a patch release containing following changes to Intel MKL-DNN v0.20.1:
* Fixed issue with bfloat16 instructions detection in Xbyak (b59bf2ec38bebd86b73aa59054f735e0fe3fc6ba)
* Fixed offset calculation issue in weight update depthwise convolution in fp32 and bfloat16 kernels (ddc54e509cc7e62ed69e74247b339842f4ae3fe8, 0982b250fd0bcbc7f972c8fa0be13b5956b78560)
* Added check that size of generated kernel doesn't exceed the maximum allowed bound in fp32 forward and backward kernels (24abe206f31a0b5f09471c63fabdf8d113a51e6c)
* Various fixes in RNN primitive:
* Avoid unaligned pointers usage in vex instructions in GRU cell (8eb14f518b900e8abcb6e9c2acb68e6fa013eb41)
* Addressed bugs in tests for RNNs (fa534ef28728dbb2f47859fa42fbcc1fc928559a, 3ac4db45098c51dd0b56cd1ba9767360a8f5bbcd)
* Fixed potential integer overflow (35c5f8a90209532f3fffa1b5e048fb6f3cd0d879)

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