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Pull requests: uxlfoundation/oneDNN
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cpu: rv64: add JIT kernel for f32 binary primitive
platform:cpu-rv64
RISC-V
#5079
opened Apr 26, 2026 by
xiazhuozhao
Contributor
•
Draft
[GPU] Fix couple of build issues
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5078
opened Apr 25, 2026 by
echeresh
Contributor
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Add a new GEMV kernel to BRGEMM and enable it in MatMul
platform:cpu-x64
Intel64/AMD64 processors. Codeowner: @oneapi-src/onednn-cpu-x64
#5077
opened Apr 24, 2026 by
densamoilov
Contributor
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[rls-v3.12]xe: ggemm: Optimize sparse groups by launching wg per token
backport
component:tests
Codeowner: @oneapi-src/onednn-arch
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5075
opened Apr 23, 2026 by
umar456
Contributor
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cpu: aarch64: x8s8[bf16/f32] conv enablement for brgemm sve 128 & 256
component:common
platform:cpu-aarch64
Codeowner: @oneapi-src/onednn-cpu-aarch64
#5073
opened Apr 23, 2026 by
henry-gar
Contributor
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rfc: improve functional coverage processes
documentation
A request to change/fix/improve the documentation. Codeowner: @oneapi-src/onednn-doc
#5071
opened Apr 22, 2026 by
dzarukin
Contributor
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xe: address MSVC C4244 implicit type conversion warnings
component:build
component:common
component:examples
component:graph-api
Codeowner: @oneapi-src/onednn-graph
platform:gpu-generic
Codeowner: @oneapi-src/onednn-gpu-generic
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
third_party
#5069
opened Apr 22, 2026 by
atkassen
Contributor
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xe: gemm: fix stride interface
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5068
opened Apr 22, 2026 by
rjoursler
Contributor
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xe: remove with_punning
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5067
opened Apr 22, 2026 by
rjoursler
Contributor
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xe: ggemm: Optimize sparse groups by launching wg per token
component:tests
Codeowner: @oneapi-src/onednn-arch
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5065
opened Apr 22, 2026 by
umar456
Contributor
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xe: gemm: add verbose statements and make logic clearer
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5064
opened Apr 21, 2026 by
Simonsays095
Contributor
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[WIP] [Graph] tests: benchdnn: in: graph: add f16 sample for GQA dropout bwd variant
component:tests
Codeowner: @oneapi-src/onednn-arch
#5063
opened Apr 21, 2026 by
h-sadia
Contributor
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2 tasks
graph: backend: dnnl: exec: gated_mlp uses unique_ptr instead of raw ptr
component:graph-api
Codeowner: @oneapi-src/onednn-graph
#5060
opened Apr 21, 2026 by
TaoLv
Contributor
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[WIP] xe: gated_mlp: improve performance of ukernel-based gmlp
component:common
component:tests
Codeowner: @oneapi-src/onednn-arch
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5059
opened Apr 21, 2026 by
hidefromkgb
Contributor
•
Draft
WIP: [GPU] Improve int8 ResNet-34 convolution performance on BMG
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5058
opened Apr 20, 2026 by
echeresh
Contributor
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[GPU][NVL-P] Add acc mode restriction on atomic acc
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5057
opened Apr 20, 2026 by
kealan-barbieri
Contributor
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2 of 4 tasks
benchdnn: support SDPA primitive in verbose output
component:tests
Codeowner: @oneapi-src/onednn-arch
documentation
A request to change/fix/improve the documentation. Codeowner: @oneapi-src/onednn-doc
#5054
opened Apr 20, 2026 by
kwieloch-intel
Contributor
•
Draft
benchdnn: inputs: graph: add torchbench sdpa training tests
component:tests
Codeowner: @oneapi-src/onednn-arch
#5050
opened Apr 20, 2026 by
TaoLv
Contributor
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1 of 3 tasks
WIP: xe: conv: consolidate accumulator type setup
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5045
opened Apr 17, 2026 by
echeresh
Contributor
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[GPU] Use f32 accumulator for f16 input in convolution
component:tests
Codeowner: @oneapi-src/onednn-arch
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5041
opened Apr 16, 2026 by
echeresh
Contributor
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cpu: x64: matmul: enable treat_as_plain for weights format
bug
A confirmed library bug
platform:cpu-x64
Intel64/AMD64 processors. Codeowner: @oneapi-src/onednn-cpu-x64
#5038
opened Apr 16, 2026 by
xuxinzen
Contributor
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Test PR. Upconvert fp8 weights to xf16 in Matmul in case of xf16 activations for 3.10
backport
component:common
component:tests
Codeowner: @oneapi-src/onednn-arch
platform:cpu-x64
Intel64/AMD64 processors. Codeowner: @oneapi-src/onednn-cpu-x64
xe: gemm: use dispatch table for simple strategy parameter parsing
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5025
opened Apr 15, 2026 by
Simonsays095
Contributor
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[GPU] GEMM Acc fixup
platform:gpu-intel
Codeowner: @oneapi-src/onednn-gpu-intel
#5017
opened Apr 14, 2026 by
kealan-barbieri
Contributor
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2 of 4 tasks
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