Open mwitiderrick opened 2 years ago
What is the right way to use dataloaders from PyTorch and generators from TensorFlow?
This gave the above error
history = model.fit( inputs=train_loader, epochs=100, steps_per_epoch=200, validation_data=validation_loader, shuffle=True, callbacks=[eg.callbacks.ModelCheckpoint("models/high-level", save_best_only=True)], )
What is the right way to use dataloaders from PyTorch and generators from TensorFlow?
This gave the above error