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Details:

  • new platforms not support simd8 (LNL, BMG)

Tickets:

  • 174772

@michal-miotk michal-miotk requested review from a team as code owners October 21, 2025 13:14
@github-actions github-actions bot added the category: GPU OpenVINO GPU plugin label Oct 21, 2025
@michal-miotk michal-miotk changed the title [GPU][do not review] enable simd16 version for convolution_gpu_mmad_b_fs_yx_fsv32 [GPU]enable simd16 version for convolution_gpu_mmad_b_fs_yx_fsv32 Oct 23, 2025
@michal-miotk michal-miotk changed the title [GPU]enable simd16 version for convolution_gpu_mmad_b_fs_yx_fsv32 [GPU] enable simd16 version for convolution_gpu_mmad_b_fs_yx_fsv32 Oct 23, 2025
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LGTM, but please add tests

@michal-miotk michal-miotk added this to the 2025.4 milestone Oct 27, 2025
os_is_yx_isa8_osv8_isv4, ///< format for weights for MMAD convolution
os_is_zyx_isa8_osv8_isv4, ///< format for weights for MMAD convolution
os_is_yx_isa8_osv16_isv4, ///< format for weights for fully connected MMAD
os_is_zyx_isa8_osv16_isv4, ///< format for weights for fully connected MMAD
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random spot) could you check why onednn convolution kernel is not chosen? For GPU with XMX, our expectation is to use OneDNN convolutions, instead of cldnn convolutions.

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because weights are u8

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image

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3 participants