missing_keys=model_keys-ckpt_keys print('Missing keys:{}'.format(len(missing_keys))) print('Unused checkpoint keys:{}'.format(len(unused_pretrained_keys))) print('Used keys:{}'.format(len(used_pretrained_keys))) assertlen(used_pretrained_keys)>0,'load NONE from pretrained checkpoint' ...
i have, PROJECT(folder) ├── pytorch_model.bin ├── bert_config.json └── vocab.txt i would like to convert it to model.onnx thanks a lot.
(batch_size, out_boxes)).to(scores.device)) /home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2819: UserWarning: Exporting aten::index operator of advanced indexing in opset 11 is achieved by combination of multiple ONNX operators, including Reshape...
error('Supports only single output topologies') return -1 # it triggers this error: ckpt = torch.load(file, map_location="cpu") [ ERROR ] Supports only single output topologies The mo.py command line I used in 2021 was: python3 mo_tf.py --input_model /h...
Convert TensorFlow BERT Model to the Intermediate Representation Regards, Munesh Translate 0 Kudos Copy link Reply Tye__Stephen Beginner 07-29-2021 03:44 PM 1,356 Views Thanks I have reviewed this page but I do not have a bert_model.ckpt.meta file, I have a bert_model.pb ...
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. - microsoft/MMdnn
您需要使用 export_tflite_ssd_graph.py 脚本导出训练好的 model.ckpt,并使用创建的 .pb 文件通过 tflite_convert 工具将其转换为 tflite。您可以直接在python中直接转换为tflite。您必须冻结图形并使用 toco_convert。它需要在调用 API 之前确定输入和输出名称和形状,就像在命令行情况下一样。示例代码片段。
from_pretrained('./chinese_L-12_H-768_A-12/bert_model.ckpt.index', config=config, from_tf=True) => This will give you a PyTorch module you can leverage to do inference/training with You're trying to export this PyTorch model through keras2onnx but this one only supports TF model. ...
file.write(onnx_model.SerializeToString()) file.close() 2018-10-07 04:19:30.340822: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: FMA INFO:tensorflow:Restoring parameters from /notebooks/pspnet101.ckpt/mod...
error('Supports only single output topologies') return -1 # it triggers this error: ckpt = torch.load(file, map_location="cpu") [ ERROR ] Supports only single output topologies The mo.py command line I used in 2021 was: python3 mo_tf.py --input_model /...