fix_docs

docs/api/api_python/nn/mindspore.nn.CTCLoss.rst

@@ -29,5 +29,5 @@ mindspore.nn.CTCLoss
         - **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** - `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。
-        - **ValueError** - `target_lengths[i]` 的值不介于0到 `input_length[i]` 之间。
+        - **RuntimeError** - `input_lengths` 的值大于T。T是 `log_probs` 的长度。
+        - **RuntimeError** - `target_lengths[i]` 的值不介于0到 `input_length[i]` 之间。

mindspore/python/mindspore/common/tensor.py

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

mindspore/python/mindspore/nn/loss/loss.py

@@ -2430,8 +2430,8 @@ class CTCLoss(LossBase):
         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 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` .
-        ValueError: If any target_lengths[i] is not in range [0, input_length[i]].
+        RuntimeError: If any value of `input_lengths` is larger than T. T is length of `log_probs` .
+        RuntimeError: If any target_lengths[i] is not in range [0, input_length[i]].
 
     Supported Platforms:
         ``Ascend`` ``GPU`` ``CPU``

mindspore/python/mindspore/ops/function/nn_func.py

@@ -2967,8 +2967,8 @@ def l1_loss(x, target, reduction='mean'):
         \end{cases}
 
     Args:
-        x (Tensor) - Predicted value, Tensor of any dimension.
-        target (Tensor) - Target value, same shape as the `x` .
+        x (Tensor): Predicted value, Tensor of any dimension.
+        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
             "none". Default: "mean".