Add dlrm_v2 CPU FP8 QDQ example #2239
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Signed-off-by: Mengni Wang <mengni.wang@intel.com>
XuehaoSun
requested changes
Jul 16, 2025
examples/3.x_api/pytorch/recommendation/dlrm_v2/fp8_quant/cpu/README.md
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XuehaoSun
approved these changes
Jul 21, 2025
thuang6
reviewed
Jul 23, 2025
| return self.crossnet(concat_dense_sparse) | ||
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| class IPEX_DLRM_DCN(DLRM_DCN): |
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why name it IPEX_XXX, I don't see any dependency to IPEX. better rename it
thuang6
reviewed
Jul 23, 2025
| model = construct_model(args) | ||
| model.model.sparse_arch = model.model.sparse_arch.bfloat16() | ||
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| qconfig = FP8Config( |
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I know Linear is in default quantization op list. how does EmbeddingBag include in quantization op list? we add it to default?
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yes, currently cpu device supports Conv, Linear and EmbeddingBag fp8 quant by default.
thuang6
approved these changes
Jul 24, 2025
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Type of Change
example
Description
Add dlrm_v2 CPU FP8 QDQ example
depend on #2238
fp32: 0.8031
FP8: 0.8080