tokenizer = AutoTokenizer.from_pretrained(model_name)# Make sure the model is in evaluation modemodel.eval()# Set up a dummy input for tracinginput_str ="Once upon a time"input_ids = tokenizer.encode(input_str, return_tensors="pt")# Convert the model to ONNXwithtorch.no_grad(): sy...
Hi, I wanted to convert the pretrained SimSwap 512 .pth model to .onnx file format. I'm not so much into Python, so I don't really know what to do. From what I understand, the code to do so looks something like this: import io import num...
No problem. Theconvert.pytool ismostlyjust for converting models in other formats (like HuggingFace) to one that other GGML tools can deal with. I was actually the who added the ability for that tool to output q8_0 — what I was thinking is that for someone who just wants to do stuff...
我使用最新的代码转换onnx,tensorrt成功,感谢作者 I'd like to excuse me how to use the converted onnx. This is my code example: control_image = make_inpaint_condition(input_image, mask_image) controlnet = ControlNetModel.from_pretrained("./../Checkpoints/ControlNet/models/cldm/inpaint2img",...
Models that contain torch.triu can not be converted to ONNX. Error message: UserWarning: ONNX export failed on ATen operator triu because torch.onnx.symbolic_opset9.triu does not exist Simple reproducer is here. import torch import torch...
The torch example gives parameter revision="fp16", can onnx model do the same optimization? Current onnx inference(using CUDAExecutionProvider) is slower than torch version, and used more gpu memory than torch version(12G vs 4G).
Keras2ONNX supports the new Keras subclassing model which was introduced in tensorflow 2.0 since the version1.6.5. Some typical subclassing models likehuggingface/transformershave been converted into ONNX and validated by ONNXRuntime. Since its version 2.3, themulti-backend Keras (keras.io)stops ...
export_onnx/venv/lib/python3.9/site-packages/torch/onnx/utils.py", line 1612, in _export graph, params_dict, torch_out = _model_to_graph( File "/home/ubuntu/triton_inference_server/export_onnx/venv/lib/python3.9/site-packages/torch/onnx/utils.py", line 1138, in _model_to_graph ...
I follow the same ONNX conversion script for many other models such as MiniLM, T5, DistilBert, and the resulting ONNX can be easily converted to TensorRT inside Triton Inference Server. This is not the case for CLIP (ViT) model. Ideally, all ONNXs exported by Huggingface can be easily ...
@thedogb@nkjuliaIf you are able to provide a log, it help as well to fix. What I find is that, for llama-7b withCUDA_VISIBLE_DEVICES=0 optimum-cli export onnx --model huggingface/llama-7b --fp16 --device cuda llama_7b_onnx: ...