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when I run train_deep_sdf.py.It will report : (py36) D:\DeepSDF>python train_deep_sdf1.py -e examples/lamps DeepSdf - INFO - ['This experiment learns a shape representation for lamps ', 'using data from ShapeNet version 2.'] DeepSdf - INFO - training with 1 GPU(s) DeepSdf - INFO - There are 897 scenes DeepSdf - INFO - starting from epoch 1 DeepSdf - INFO - Number of decoder parameters: 1844221 DeepSdf - INFO - Number of shape code parameters: 229632 (# codes 897, code dim 256) DeepSdf - INFO - epoch 1... Traceback (most recent call last): File "train_deep_sdf1.py", line 627, in
main_function(args.experiment_directory, args.continue_from, int(args.batch_split))
File "train_deep_sdf1.py", line 484, in main_function
sdf_data = sdf_data.reshape(-1, 4 + 3) # Added 3 extra dimensions to data
RuntimeError: shape '[-1, 7]' is invalid for input of size 65536