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Don't use assert in non-test code.
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@ -148,7 +148,8 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
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the motivation here is that `n_steps` is easier to optimize and keep stable,
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across different n_obs - the number of data points.
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"""
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assert isinstance(self.n_steps, int), "Either `n_steps` or `n_epochs` should be set."
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if not isinstance(self.n_steps, int):
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raise ValueError("Either `n_steps` or `n_epochs` should be set.")
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n_batches = n_obs // self.batch_size
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n_epochs = max(self.n_steps // n_batches, 1)
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if n_epochs <= 10:
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