modnet_portrait_matting β€” ExecuTorch XNNPACK

modnet_portrait_matting_xnnpack_fp32.pte (26.1 MB, fp32, XNNPACK-delegated)

  • Source: ZHKKKe/MODNet + DavG25/modnet-pretrained-models ckpt
  • License: Apache-2.0
  • Input: [[1, 3, 512, 512]] β€” RGB [-1,1], 512x512
  • Output: alpha matte [1,1,512,512] 0-1

Verification (Mac arm64, executorch 1.4.0, torch 2.13.0)

Parity vs torch fp32 eager on random input:

output shape max_abs_diff corr
0 [1, 1, 512, 512] 1.572e-04 1.000000

Median latency over 10 runs (single Mac process, reference only β€” device numbers to follow): ExecuTorch 69.5 ms vs torch eager 120.2 ms.

Conversion

torch.export -> to_edge_transform_and_lower(XnnpackPartitioner) -> .pte (conversion scripts: executorch-models)


Part of executorch-models β€” a verified .pte zoo for ExecuTorch. Conversion scripts and all models are indexed there.

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