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Download PTI/models/StyleCLIP/mapper/training/train_utils.py from DragGan/DragGan-Inversion: direct link, hf CLI and curl.
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- Download file 377 Bytes
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https://huggingface.co/spaces/DragGan/DragGan-Inversion/resolve/main/PTI/models/StyleCLIP/mapper/training/train_utils.py
- Command line
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hf download hf://spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/mapper/training/train_utils.py
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curl -L -o train_utils.py https://huggingface.co/spaces/DragGan/DragGan-Inversion/resolve/main/PTI/models/StyleCLIP/mapper/training/train_utils.py
377 Bytes
| def aggregate_loss_dict(agg_loss_dict): | |
| mean_vals = {} | |
| for output in agg_loss_dict: | |
| for key in output: | |
| mean_vals[key] = mean_vals.setdefault(key, []) + [output[key]] | |
| for key in mean_vals: | |
| if len(mean_vals[key]) > 0: | |
| mean_vals[key] = sum(mean_vals[key]) / len(mean_vals[key]) | |
| else: | |
| print('{} has no value'.format(key)) | |
| mean_vals[key] = 0 | |
| return mean_vals | |