mmpretrain/docs/tools/pytorch2torchscript.md

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/pytorch2onnx.py \
    configs/resnet/resnet18_b16x8_cifar10.py \
    --checkpoint checkpoints/resnet/resnet18_b16x8_cifar10.pth \
    --output-file checkpoints/resnet/resnet18_b16x8_cifar10.pt \
    --verify \

Notes:

• All models are tested with Pytorch==1.8.1

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