add num_iters in fit/evalate #33986
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add num_iters in fit/evalate #33986
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heavengate
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Jul 7, 2021
| self.num_iters = num_iters | ||
| if num_iters is not None and isinstance(num_iters, int): | ||
| epochs = (num_iters // steps) + 1 | ||
| steps = min(num_iters, steps) |
heavengate
reviewed
Jul 7, 2021
python/paddle/hapi/model.py
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| @@ -1581,6 +1581,8 @@ def fit( | |||
| accumulate_grad_batches (int): The number of batches to accumulate gradident | |||
| during training process before optimizer updates. It can mimic large batch | |||
| size. Default: 1. | |||
| num_iters (int|None): Integer number. The number of iterations to train | |||
| the model. If None, follow `epochs` to train the model. Default: None. | |||
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说明一下None的时候会训练整个epoch，非None的时候训练num_iters次
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qingqing01
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heavengate
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Jul 8, 2021
heavengate
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qingqing01
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Jul 9, 2021
| self.num_iters = num_iters | ||
| if num_iters is not None and isinstance(num_iters, int): | ||
| assert num_iters > 0, "num_iters must be greater than 0!" | ||
| epochs = (num_iters // steps) + 1 |
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data loader是iterable style时， steps是None。 这里会出错。
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Describe
In the hapi, .fit() and .evaluate() is based on epoch, which is troublesome when users want to train a few iterations.