oneDNN v3.13.4

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

Release notes

This is a patch release containing the following changes to v3.13.3:
* Fixed crash in grouped matmul with large shapes on Intel GPUs based on Xe architecture (bb0e26c9d55a96ab31202d8332c47aa210193523, 93e82fc3b7f787ba881c7fb7a65fc208f06e46d4, e81aa2481fa051b332d517c59215b73da525cc8b, 1411796109c72d9317943d59afd2347a99227453, c899370a004ecd822708f89b2c3581361955e14a, b93345904a786d96e58fd231bb9fc17bcf14ff6a, a93026cc0f0d1afabd8d034ed8d8f02f32021b1a)
* Fixed correctness issue in `f16`, `bf16`, and `s8/u8` convolutions with small number of input channels on x64 processors with Intel AMX instruction set support (fed7e418d106de3e405fe3330fd75d684c9332b5)
* Fixed correctness issue in `f16`, `bf16`, and `s8/u8` convolutions with trivial output width on x64 processors with Intel AMX instruction set support (8b5f0abb15ea379777b7f3bb38798d12bd846335, e5cb5ff327e79caa9074ff2e0cb90ab146fb3e43)
* Fixed correctness issue in `f32` convolution weight gradienton x64 processors with Intel AVX-512 instruction set support (425603361167c9a6bd1c991c1efcd0e7b4c72a9d)

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