Pytorch to TorchScript (Experimental)

• Pytorch to TorchScript (Experimental)

  • How to convert models from Pytorch to TorchScript

    • Usage

    • Description of all arguments

  • Reminders

  • FAQs

How to convert models from Pytorch to TorchScript

Usage

python tools/deployment/pytorch2torchscript.py \
    ${CONFIG_FILE} \
    --checkpoint ${CHECKPOINT_FILE} \
    --output-file ${OUTPUT_FILE} \
    --shape ${IMAGE_SHAPE} \
    --verify \

Description of all arguments

• config : The path of a model config file.

• --checkpoint : The path of a model checkpoint file.

• --output-file: The path of output TorchScript model. If not specified, it will be set to tmp.pt.

• --shape: The height and width of input tensor to the model. If not specified, it will be set to 224 224.

• --verify: Determines whether to verify the correctness of an exported model. If not specified, it will be set to False.

Example:

python tools/deployment/pytorch2torchscript.py \
    configs/classification/imagenet/mixups/basic/r18_mixups_CE_none_4xb64.py \
    --checkpoint ${PATH_TO_MODEL}/r18_mixups_CE_none_4xb64.pth \
    --output-file ${PATH_TO_MODEL}/r18_mixups_CE_none_4xb64.pt \
    --verify \

Notes:

• We have tested the most models with Pytorch==1.10.0*.

Reminders

• For torch.jit.is_tracing() is only supported after v1.6. For users with pytorch v1.3-v1.5, we suggest early returning tensors manually.

• If you meet any problem with the models in this repo, please create an issue and it would be taken care of soon.

FAQs

• None

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