Add onnx export script for segment anything v2 #22119
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wangyems
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Sep 18, 2024
This was referenced Sep 21, 2024
tianleiwu
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Sep 21, 2024
### Description * Add MultiHeadAttention fusion for SAM2. * Add LayerNormalization fusion for NCHW format by inserting Transpose from NCHW to NHWC before layer normalization, and add another Transpose after layer norm to convert NHWC back to NCHW. Hopefully, those extra Transpose nodes will be removed when prefer_nhwc is enabled later. * Add a condition that the input shall be 3D when fuse SkipLayerNorm. * Update convert_to_onnx.py to add `--optimize` and `--use_gpu` options to output optimized onnx model for CPU/CUDA eps. * Add an option `--dtype fp16|fp32` in convert_to_onnx.py to support converting optimized model to float16. * Update the demo to use the optimized onnx models. ### Motivation and Context To support optimization of SAM2 for CPU/CUDA eps that is exported in #22119
tianleiwu
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Description
Add ONNX export script for segment anything v2 (SAM2).
Limitations
Credits
The demo that is based on SAM2 notebook, and modified to run with ORT.
The export of decoder is inspired by https://github.com/vietanhdev/samexporter.
Demo
Example output of demo:
Motivation and Context
Support optimization of SAM2.