denoising-diffusion-pytorch
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problem
Hi, Can you tell me what is train_num_steps and timesteps? I can't get the difference between them. (which one of them is the timesteps in the paper?)
train_num_steps is the number of times the gradient is computed (for every train_batch_size * gradient_accumulate_every samples in your dataset) until the model stops training
timesteps is "the one from the paper"