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🠗 Changelog
🠗 Dependencies
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🠗 Files
Changelog
| Date | Author | Change |
|---|---|---|
| 2026-11-06 | Pavel Androniychuk <pavel dot androniychuk at intel dot com> - 3.14.2-1 | - New release 3.14.2 |
| 2026-10-27 | Miguel Martín <mmartinv at redhat dot com> - 3.14-4 | - Fix ppc64le examples build: avoid AltiVec bool clash |
| 2026-10-26 | Miguel Martín <mmartinv at redhat dot com> - 3.14-3 | - Build and package examples in onednn-examples subpackage |
| 2026-10-23 | Pavel Androniychuk <pavel dot androniychuk at intel dot com> - 3.14-2 | - Fix aarch64 build |
| 2026-10-23 | Pavel Androniychuk <pavel dot androniychuk at intel dot com> - 3.14-1 | - New release v3.14 |
| 2026-10-22 | Pavel Androniychuk <pavel dot androniychuk at intel dot com> - 3.13.4-2 | - Add XPU support to existing pkgs |
| 2026-10-06 | Nicolas Chauvet <kwizart at gmail dot com> - 3.13.4-1 | - Update to 3.13.4 |
| 2026-10-01 | Nicolas Chauvet <kwizart at gmail dot com> - 3.13.3-1 | - Update to 3.13.3 |
| 2026-09-23 | Adam Jackson <ajax at redhat dot com> - 3.13.2-2 | - Build and package benchdnn and the tests |
| 2026-08-27 | Nicolas Chauvet <kwizart at gmail dot com> - 3.13.2-1 | - Update to 3.13.2 |
Dependencies
Provides
- onednn-examples
- onednn-examples(x86-64)
Files
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- .build-id/
- libexec/
- onednn/
- examples/
- bnorm-u8-via-binary-postops-cpp
- cnn-inference-f32-c
- cnn-inference-f32-cpp
- cnn-inference-int8-cpp
- cnn-training-bf16-cpp
- cnn-training-f32-cpp
- cpu-cnn-training-f32-c
- cpu-graph-getting-started-cpp
- cpu-graph-inference-int8-cpp
- cpu-graph-single-op-partition-cpp
- cpu-matmul-coo-cpp
- cpu-matmul-csr-cpp
- cpu-matmul-weights-compression-cpp
- cpu-rnn-inference-f32-cpp
- cpu-rnn-inference-int8-cpp
- cpu-tutorials-matmul-matmul-quantization-cpp
- cross-engine-reorder-c
- cross-engine-reorder-cpp
- getting-started-cpp
- graph-gated-mlp-cpp
- graph-gated-mlp-int4-cpp
- graph-gated-mlp-wei-combined-cpp
- graph-gqa-cpp
- graph-gqa-training-cpp
- graph-mqa-cpp
- graph-sdpa-bottom-right-causal-mask-cpp
- graph-sdpa-cpp
- graph-sdpa-quantized-cpp
- graph-sdpa-stacked-qkv-cpp
- graph-sycl-getting-started-cpp
- graph-sycl-single-op-partition-cpp
- matmul-f8-quantization-cpp
- matmul-perf-cpp
- matmul-with-host-scalar-scale-cpp
- memory-format-propagation-cpp
- performance-profiling-cpp
- primitives-augru-cpp
- primitives-batch-normalization-cpp
- primitives-binary-cpp
- primitives-concat-cpp
- primitives-convolution-cpp
- primitives-deconvolution-cpp
- primitives-eltwise-cpp
- primitives-group-normalization-cpp
- primitives-inner-product-cpp
- primitives-layer-normalization-cpp
- primitives-lbr-gru-cpp
- primitives-lrn-cpp
- primitives-lstm-cpp
- primitives-matmul-cpp
- primitives-pooling-cpp
- primitives-prelu-cpp
- primitives-reduction-cpp
- primitives-reorder-cpp
- primitives-resampling-cpp
- primitives-shuffle-cpp
- primitives-softmax-cpp
- primitives-sum-cpp
- primitives-vanilla-rnn-cpp
- rnn-training-f32-cpp
- sycl-interop-buffer-cpp
- sycl-interop-usm-cpp
- tutorials-matmul-inference-int8-matmul-cpp
- tutorials-matmul-matmul-with-weight-only-quantization-cpp
- tutorials-matmul-mxfp-matmul-cpp
- examples/
- onednn/
- share/
- onednn/
- examples/
- bnorm_u8_via_binary_postops.cpp
- cnn_inference_f32.c
- cnn_inference_f32.cpp
- cnn_inference_int8.cpp
- cnn_training_bf16.cpp
- cnn_training_f32.cpp
- cpu_cnn_training_f32.c
- cpu_matmul_coo.cpp
- cpu_matmul_csr.cpp
- cpu_matmul_weights_compression.cpp
- cpu_rnn_inference_f32.cpp
- cpu_rnn_inference_int8.cpp
- cross_engine_reorder.c
- cross_engine_reorder.cpp
- example_utils.h
- example_utils.hpp
- getting_started.cpp
- gpu_opencl_interop.cpp
- graph/
- cpu_getting_started.cpp
- cpu_inference_int8.cpp
- cpu_single_op_partition.cpp
- gated_mlp.cpp
- gated_mlp_int4.cpp
- gated_mlp_wei_combined.cpp
- gpu_opencl_getting_started.cpp
- gqa.cpp
- gqa_training.cpp
- graph_example_utils.hpp
- mqa.cpp
- sdpa.cpp
- sdpa_bottom_right_causal_mask.cpp
- sdpa_quantized.cpp
- sdpa_stacked_qkv.cpp
- sycl_getting_started.cpp
- sycl_single_op_partition.cpp
- matmul_f8_quantization.cpp
- matmul_grouped.cpp
- matmul_perf.cpp
- matmul_with_host_scalar_scale.cpp
- memory_format_propagation.cpp
- performance_profiling.cpp
- primitives/
- augru.cpp
- batch_normalization.cpp
- binary.cpp
- concat.cpp
- convolution.cpp
- deconvolution.cpp
- eltwise.cpp
- group_normalization.cpp
- inner_product.cpp
- layer_normalization.cpp
- lbr_gru.cpp
- lrn.cpp
- lstm.cpp
- matmul.cpp
- pooling.cpp
- prelu.cpp
- reduction.cpp
- reorder.cpp
- resampling.cpp
- shuffle.cpp
- softmax.cpp
- sum.cpp
- vanilla_rnn.cpp
- rnn_training_f32.cpp
- sycl_interop_buffer.cpp
- sycl_interop_usm.cpp
- tutorials/
- matmul/
- cpu_matmul_quantization.cpp
- inference_int8_matmul.cpp
- matmul_with_weight_only_quantization.cpp
- mxfp_matmul.cpp
- matmul/
- ukernels/
- cpu_brgemm.cpp
- examples/
- onednn/
- lib/
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