[GPU] enable simd16 version for convolution_gpu_mmad_b_fs_yx_fsv32 #32501
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michal-miotk
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michal-miotk
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src/plugins/intel_gpu/src/kernel_selector/cl_kernels/convolution_gpu_mmad_b_fs_yx_fsv32.cl
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isanghao
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Oct 28, 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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oh I see. I think we need to file a ticket to onednn team for supporting it. Performance won't be very good with cldnn kernel..
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ticket created: https://jira.devtools.intel.com/browse/MFDNN-14355
Lyamin-Roman
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Oct 29, 2025
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