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fix_docs

This commit is contained in:
yide12 2022-12-24 10:09:59 +08:00
parent 3b513daac7
commit 3fc8085076
4 changed files with 8 additions and 8 deletions
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4
docs/api/api_python/nn/mindspore.nn.CTCLoss.rst
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@ -29,5 +29,5 @@ mindspore.nn.CTCLoss
- **ValueError** - `reduction` 不为"none"，"mean"或"sum"。 - **ValueError** - `reduction` 不为"none"，"mean"或"sum"。
- **ValueError** - `targets` ， `input_lengths` 或 `target_lengths` 的数据类型是不同的。 - **ValueError** - `targets` ， `input_lengths` 或 `target_lengths` 的数据类型是不同的。
- **ValueError** - `blank` 值不介于0到C之间。C是 `log_probs` 的分类数。 - **ValueError** - `blank` 值不介于0到C之间。C是 `log_probs` 的分类数。
- **ValueError** - `input_lengths` 的值大于T。T是 `log_probs` 的长度。 - **RuntimeError** - `input_lengths` 的值大于T。T是 `log_probs` 的长度。
- **ValueError** - `target_lengths[i]` 的值不介于0到 `input_length[i]` 之间。 - **RuntimeError** - `target_lengths[i]` 的值不介于0到 `input_length[i]` 之间。

4
mindspore/python/mindspore/common/tensor.py
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@ -2657,14 +2657,14 @@ class Tensor(Tensor_):
def digamma(self): def digamma(self):
r""" r"""
Refer to :func:`mindspore.ops.digamma`. For details, please refer to :func:`mindspore.ops.digamma`.
""" """
self._init_check() self._init_check()
return tensor_operator_registry.get('digamma')(self) return tensor_operator_registry.get('digamma')(self)
def lgamma(self): def lgamma(self):
r""" r"""
Refer to :func:`mindspore.ops.lgamma`. For details, please refer to :func:`mindspore.ops.lgamma`.
""" """
self._init_check() self._init_check()
return tensor_operator_registry.get('lgamma')(self) return tensor_operator_registry.get('lgamma')(self)

4
mindspore/python/mindspore/nn/loss/loss.py
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@ -2430,8 +2430,8 @@ class CTCLoss(LossBase):
ValueError: If `reduction` is not "none", "mean" or "sum". ValueError: If `reduction` is not "none", "mean" or "sum".
ValueError: If the types of `targets`, `input_lengths` or `target_lengths` are different. ValueError: If the types of `targets`, `input_lengths` or `target_lengths` are different.
ValueError: If the value of `blank` is not in range [0, C). C is number of classes of `log_probs` . ValueError: If the value of `blank` is not in range [0, C). C is number of classes of `log_probs` .
ValueError: If any value of `input_lengths` is larger than T. T is length of `log_probs` . RuntimeError: If any value of `input_lengths` is larger than T. T is length of `log_probs` .
ValueError: If any target_lengths[i] is not in range [0, input_length[i]]. RuntimeError: If any target_lengths[i] is not in range [0, input_length[i]].
Supported Platforms: Supported Platforms:
``Ascend`` ``GPU`` ``CPU`` ``Ascend`` ``GPU`` ``CPU``

4
mindspore/python/mindspore/ops/function/nn_func.py
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@ -2967,8 +2967,8 @@ def l1_loss(x, target, reduction='mean'):
\end{cases} \end{cases}
Args: Args:
x (Tensor) - Predicted value, Tensor of any dimension. x (Tensor): Predicted value, Tensor of any dimension.
target (Tensor) - Target value, same shape as the `x` . target (Tensor): Target value, same shape as the `x` .
reduction (str, optional): Type of reduction to be applied to loss. The optional value is "mean", "sum" or reduction (str, optional): Type of reduction to be applied to loss. The optional value is "mean", "sum" or
"none". Default: "mean". "none". Default: "mean".