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57 lines
1.7 KiB
Markdown
57 lines
1.7 KiB
Markdown
# Pytorch to TorchScript (Experimental)
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<!-- TOC -->
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- [Pytorch to TorchScript (Experimental)](#pytorch-to-torchscript-experimental)
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- [How to convert models from Pytorch to TorchScript](#how-to-convert-models-from-pytorch-to-torchscript)
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- [Usage](#usage)
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- [Description of all arguments](#description-of-all-arguments)
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- [Reminders](#reminders)
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- [FAQs](#faqs)
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<!-- TOC -->
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## How to convert models from Pytorch to TorchScript
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### Usage
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```bash
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python tools/deployment/pytorch2torchscript.py \
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${CONFIG_FILE} \
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--checkpoint ${CHECKPOINT_FILE} \
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--output-file ${OUTPUT_FILE} \
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--shape ${IMAGE_SHAPE} \
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--verify \
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```
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### Description of all arguments
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- `config` : The path of a model config file.
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- `--checkpoint` : The path of a model checkpoint file.
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- `--output-file`: The path of output TorchScript model. If not specified, it will be set to `tmp.pt`.
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- `--shape`: The height and width of input tensor to the model. If not specified, it will be set to `224 224`.
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- `--verify`: Determines whether to verify the correctness of an exported model. If not specified, it will be set to `False`.
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Example:
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```bash
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python tools/deployment/pytorch2onnx.py \
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configs/resnet/resnet18_8xb16_cifar10.py \
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--checkpoint checkpoints/resnet/resnet18_8xb16_cifar10.pth \
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--output-file checkpoints/resnet/resnet18_8xb16_cifar10.pt \
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--verify \
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```
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Notes:
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- *All models are tested with Pytorch==1.8.1*
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## Reminders
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- 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.
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- If you meet any problem with the models in this repo, please create an issue and it would be taken care of soon.
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## FAQs
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- None
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