[MPS][Apple Silicon] video_wan2_2_14B_fun_inpaint: convert Float8_e4m3fn to the MPS backend but it does not have support for that dtype #11740
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macpaul
requested review from
Kosinkadink,
comfyanonymous and
guill
as code owners
Add a new MPS-specific operations module to handle Float8 tensor support on Apple Silicon. Since MPS does not natively support Float8 dtypes, this implementation uses a uint8 storage strategy combined with a GPU-accelerated Lookup Table (LUT) for efficient dequantization, keeping data on the GPU. - Add comfy/mps_ops.py: Implement cached LUT generation and index-based dequantization for MPS. - Modify comfy/quant_ops.py: Add logic to view Float8 tensors as uint8 when moving to MPS, and route dequantization to mps_ops. - Modify comfy/float.py: Add CPU staging for stochastic rounding to prevent MPS casting errors during quantization. - Modify comfy/quant_ops.py: Add fallback for fp8_linear. Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…ng errors Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…edTensor Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…Tensor Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…edTensor Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…pe to prevent precision mismatch RuntimeErrors Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…ike for mock QuantizedTensor Signed-off-by: Macpaul Lin <macpaul@gmail.com>
…r QuantizedTensor Signed-off-by: Macpaul Lin <macpaul@gmail.com>
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Issue: #11626
Main solution is feat(mps): implement native-like Float8 support via LUT dequantization.
However, it encountered some merge conflicts when master branch was updated to 0.8.0 and later.
Hence, I've added a bunch of fixes to the errors I've encountered. Please check if they are adapteable to master branch.
Signed-off-by: Macpaul Lin macpaul@gmail.com