[GPU] Enable uint8 weights for oneDNN-based convolution #32650
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isanghao
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Nov 3, 2025
| one_of(out_dt, {data_types::i32, data_types::f16, data_types::f32, data_types::u8, data_types::i8}); | ||
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| if (!f16_conv && !u8s8_conv) | ||
| if (!f16_conv && !int8_conv) |
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could you add a unittest for this case?
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this int8_conv is little confusing, what about 8bit_conv or sth similar?
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build_jenkins |
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This PR is related #32501 |
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build_jenkins |
IamRam3
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Nov 6, 2025
…kit#32650) ### Details: Experimentally enable convolution with uint8 weights to request a oneDNN implementation to improve performance over a reference SIMD8 OpenCL implementation. ### Tickets: - https://jira.devtools.intel.com/browse/CVS-175989
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Details:
Experimentally enable convolution with uint8 weights to request a oneDNN implementation to improve performance over a reference SIMD8 OpenCL implementation.
Tickets: