Comments (1)
Fixed by 7664e41
from onednn.
Related Issues (20)
- Expected Multi-Threaded CPU Performance HOT 4
- Wrongly handling of inf when the post-op operation is mul. HOT 2
- Matmul - tensor size effect on performance HOT 3
- [nvidia] int8 convolution primitive fails correctness check
- [nvidia] The build with latest DPC++ open source compiler is broken
- Integration of default in-order stream behaviour to release candidate HOT 1
- oneDNN build with ACL support on ARM machine gives wrong output for matrix multiplication operator HOT 2
- OneDNN verbose not visible in tensorflow 2.14.0 and above. HOT 3
- how can i write a model(mobilenet2) to onednn net graph with c++ HOT 2
- Add support for dimension selection for layer normalization HOT 1
- The test cases are not compatible with the new version of DNN HOT 1
- Convolution not utilizing Eigen Implementation in TensorFlow v2.14.0, Defaults to OneDNN HOT 4
- how can i finish the operator of AdaptiveAvgPool in onednn HOT 2
- Use of use_buffer_b pointer in brgemm matrix multiplication HOT 6
- Min and max reduction in a single prim execution HOT 3
- Add official support for sparse memory and sparse-dense matmul HOT 4
- Branching and release scheme HOT 4
- Why dnnl_gemm_bf16bf16f32 is much slower than dnnl_sgemm? HOT 2
- Question about verbose output HOT 3
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