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optimizes the documentation of chinese API of LSTM,EmbeddingLookup,etc.

This commit is contained in:
zhangfanghe 2022-03-29 10:07:52 +08:00
parent 204eceb0e0
commit ee02818bef
2 changed files with 3 additions and 3 deletions
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4
docs/api/api_python/nn/mindspore.nn.LSTM.rst
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@ -51,7 +51,7 @@ mindspore.nn.LSTM
**异常：**
- **TypeError** - `input_size`， `hidden_size` 或 `num_layers` 不是整数。
- **TypeError** - `input_size`， `hidden_size` 或 `num_layers` 不是int。
- **TypeError** - `has_bias` ， `batch_first` 或 `bidirectional` 不是bool。
- **TypeError** - `dropout` 既不是浮点数也不是整数。
- **TypeError** - `dropout` 既不是float也不是int。
- **ValueError** - `dropout` 不在[0.0, 1.0]范围内。

2
mindspore/python/mindspore/nn/layer/embedding.py
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@ -176,7 +176,7 @@ class EmbeddingLookup(Cell):
['DEVICE', 'CPU']. Default: 'CPU'.
slice_mode (str): The slicing way in semi_auto_parallel/auto_parallel. The value must get through
:class:`mindspore.nn.EmbeddingLookup`. Default: :class:`mindspore.nn.EmbeddingLookup.BATCH_SLICE`.
manual_shapes (tuple): The accompaniment array in field slice mode, Default: None.
manual_shapes (tuple): The accompaniment array in field slice mode. Default: None.
max_norm (Union[float, None]): A maximum clipping value. The data type must be float16, float32
or None. Default: None
sparse (bool): Using sparse mode. When 'target' is set to 'CPU', 'sparse' has to be true. Default: True.