##############################
+for input in task.batches(split="train", desc="calibrate"):
+ input = input.to(device)
+ output = model(mygpt.BracketedSequence(input)).x
+
+for n, m in model.named_modules():
+ for a in dir(m):
+ x = getattr(m, a)
+ if isinstance(x, mygpt.Calibrator):
+ print(f"####### ${n} | ${a} ########################")
+ mean, std = x.moments()
+ print("mean\n", mean, "\n")
+ print("std\n", std, "\n")
+ print(f"############################################\n\n")
+
+exit(0)
+
+##############################
+
nb_samples_seen = 0
if nb_epochs_finished >= nb_epochs: