multimodalart HF staff commited on
Commit
53d1f76
·
1 Parent(s): ecc48ff

Update script.py

Browse files
Files changed (1) hide show
  1. script.py +11 -8
script.py CHANGED
@@ -8,16 +8,15 @@ from huggingface_hub import HfApi
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  import torch
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  import re
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  import argparse
 
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- def parse_arguments():
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- parser = argparse.ArgumentParser(description="Process script arguments.")
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- parser.add_argument('--dataset_name', required=True, help='Name of the dataset.')
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- parser.add_argument('--output_dir', required=True, help='Output directory.')
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- parser.add_argument('--num_new_tokens_per_abstraction', type=int, default=0, help='Number of new tokens per abstraction.')
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- parser.add_argument('--train_text_encoder_ti', action='store_true', help='Flag to train text encoder TI.')
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- return parser.parse_args()
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-
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  def do_train(script_args):
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  # Pass all arguments to trainer.py
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  print("Starting training...")
@@ -97,6 +96,7 @@ def main():
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  parser.add_argument('--output_dir', required=True)
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  parser.add_argument('--num_new_tokens_per_abstraction', type=int, default=0)
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  parser.add_argument('--train_text_encoder_ti', action='store_true')
 
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  # Parse known arguments
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  args, _ = parser.parse_known_args(script_args)
@@ -106,6 +106,9 @@ def main():
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  args.num_new_tokens_per_abstraction = 0
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  # Proceed with training and inference
 
 
 
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  do_train(script_args)
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  print("Training finished!")
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  do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)
 
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  import torch
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  import re
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  import argparse
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+ import os
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+ def do_preprocess(class_data_dir):
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+ zip_file_path = f"{class_data_dir}/class_images.zip"
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+ with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
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+ zip_ref.extractall(class_data_dir)
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+ os.remove(zip_file_path)
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+ print(os.listdir(zip_file_path))
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  def do_train(script_args):
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  # Pass all arguments to trainer.py
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  print("Starting training...")
 
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  parser.add_argument('--output_dir', required=True)
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  parser.add_argument('--num_new_tokens_per_abstraction', type=int, default=0)
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  parser.add_argument('--train_text_encoder_ti', action='store_true')
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+ parser.add_argument('--class_data_dir', help="Name of the class images dataset")
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  # Parse known arguments
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  args, _ = parser.parse_known_args(script_args)
 
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  args.num_new_tokens_per_abstraction = 0
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  # Proceed with training and inference
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+ if args.class_data_dir:
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+ print("Unzipping dataset")
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+ do_preprocess(args.class_data_dir)
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  do_train(script_args)
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  print("Training finished!")
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  do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)