ormbg_isnet β€” ExecuTorch XNNPACK

ormbg_isnet_xnnpack_fp32.pte (176.1 MB, fp32, XNNPACK-delegated)

  • Source: schirrmacher/ormbg
  • License: Apache-2.0
  • Input: [[1, 3, 1024, 1024]] β€” RGB 0-1, 1024x1024
  • Output: alpha mask [1,1,1024,1024] 0-1 (sigmoid)

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, 1024, 1024] 2.831e-06 1.000000

Median latency over 10 runs (single Mac process, reference only β€” device numbers to follow): ExecuTorch 123.8 ms vs torch eager 387.3 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.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for mlboydaisuke/ormbg-ExecuTorch

Quantized
(2)
this model