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Fix clock step inconsistencies on batch end
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09af570b23
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@ -179,10 +179,8 @@ class TrainingClock(Callback["Trainer[BaseConfig, Any]"]):
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self.log(f"Iteration {trainer.clock.iteration} started.")
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self.log(f"Iteration {trainer.clock.iteration} started.")
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self.log(f"Step {trainer.clock.step} started.")
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self.log(f"Step {trainer.clock.step} started.")
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def on_batch_end(self, trainer: "Trainer[BaseConfig, Any]") -> None:
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self.log(f"Step {trainer.clock.step} ended.")
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def on_backward_end(self, trainer: "Trainer[BaseConfig, Any]") -> None:
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def on_backward_end(self, trainer: "Trainer[BaseConfig, Any]") -> None:
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self.log(f"Step {trainer.clock.step} ended.")
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trainer.clock.step += 1
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trainer.clock.step += 1
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trainer.clock.num_batches_processed += 1
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trainer.clock.num_batches_processed += 1
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trainer.clock.num_minibatches_processed += 1
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trainer.clock.num_minibatches_processed += 1
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@ -66,7 +66,7 @@ def scoped_seed(seed: int | Callable[..., int] | None = None) -> Callable[..., C
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actual_seed = seed(*args) if callable(seed) else seed
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actual_seed = seed(*args) if callable(seed) else seed
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seed_everything(seed=actual_seed)
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seed_everything(seed=actual_seed)
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result = func(*args, **kwargs)
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result = func(*args, **kwargs)
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logger.debug(f"Restoring previous seed state")
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logger.trace(f"Restoring previous seed state")
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random.setstate(random_state)
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random.setstate(random_state)
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np.random.set_state(numpy_state)
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np.random.set_state(numpy_state)
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torch.set_rng_state(torch_state)
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torch.set_rng_state(torch_state)
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