Ryan_J issues

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                                            Ryan_J

hello~I want to know how you determine these parameters？Because the dataset used here only has two subsets

such as max_step_num？

Can I ditch feature extraction and use the method

Hello, I now have features that have been extracted from the pre-trained network. Can I try to learn the representation of features from the ICH module without feature extraction?(maybe a...

if the mean-teacher parameters used on two datasets are the same？

Hello! I want to know if the mean-teacher parameters used on two datasets are the same. eg.update_ema_variables(model, model_ema, 0.999, float(global_step / 20)) Thank you so much.

Can you explain what these variables mean: shift(x, n_segment, fold_div=8, inplace=False, channels_range=[1,2]).

shift(x, n_segment, fold_div=8, inplace=False, channels_range=[1,2]). Now I want to use features extracted from I3D, but I do not konw what should I change, Can you tell me the meaning of...

a

ImportError: cannot import name 'consume_prefix_in_state_dict_if_present' from 'torch.nn.modules.utils' (/opt/miniconda3/envs/vc2/lib/python3.8/site-packages/torch/nn/modules/utils.py)

Traceback (most recent call last): File "prepare/preprocess_hubert.py", line 9, in from hubert import hubert_model File "/root/code/so-vits-svc-5.0/hubert/hubert_model.py", line 8, in from torch.nn.modules.utils import consume_prefix_in_state_dict_if_present ImportError: cannot import name 'consume_prefix_in_state_dict_if_present' from 'torch.nn.modules.utils'...

Some weights of the model checkpoint at /home/rnd/wmj/instructor-large/instructor-embedding/output/checkpoint-6500/ were not used when initializing T5EncoderModel: ['2.linear.weight'] - This IS expected if you are initializing T5EncoderModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing T5EncoderModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). max_seq_length 512

Hello, first of all, thank you very much for your excellent open-source code. However, I encountered some problems while using it. I used the provided Instructor-large model weight finetune to...