modify the format of files 1126

docs/api/api_python/mindspore.train.rst

@@ -78,7 +78,7 @@ mindspore.train
 ----------
 
 .. mscnautosummary::
-    :toctree: mindspore
+    :toctree: train
 
     mindspore.train.ConvertModelUtils
     mindspore.train.ConvertNetUtils

docs/api/api_python/ops/mindspore.ops.Dilation2D.rst

@@ -55,4 +55,4 @@
         - **ValueError** - 如果参数 `stride` 的取值范围不是 `[1, 255]` 。
         - **ValueError** - 如果参数 `dilation` 的值小于1。
         - **ValueError** - 如果参数 `pad_mode` 不是 `same` 、 `valid` 、 `SAME` 或者 `VALID`。
-        - **ValueError** - 如果参数 `data_format` 不是字符串`NCHW`。
+        - **ValueError** - 如果参数 `data_format` 不是字符串 `NCHW` 。

docs/api/api_python/ops/mindspore.ops.Lstsq.rst

@@ -40,6 +40,6 @@ mindspore.ops.Lstsq
         - **TypeError** - 若输入 `x` 或 `a` 不是Tensor。
         - **TypeError** - 若 `x` 或 `a` 的数据类型不是以下之一：float16、float32、float64。
         - **TypeError** - 若 `x` 或 `a` 的数据类型不同。
-        - **TypeError** - 若 `x` 的维度不等于2。
+        - **ValueError** - 若 `x` 的维度不等于2。
         - **ValueError** - 若 `a` 的维度不等于2或1。
         - **ValueError** - 若 `x` 与 `a` shape的第0维不相等。

docs/api/api_python/ops/mindspore.ops.Nonzero.rst

@@ -1,7 +1,7 @@
 mindspore.ops.Nonzero
 ======================
 
-.. py:class:: mindspore.nn.Nonzero
+.. py:class:: mindspore.ops.Nonzero
 
     计算输入Tensor中所有非零元素的下标。
 

docs/api/api_python_en/mindspore.train.rst

@@ -82,7 +82,7 @@ Thor
 ---------------
 
 .. autosummary::
-    :toctree: mindspore
+    :toctree: train
     :nosignatures:
     :template: classtemplate.rst
 

mindspore/lite/python/api/converter.py

@@ -97,7 +97,7 @@ class Converter:
             corresponding to `model_file` parameter; 'model.Caffemodel' is model weight value file, corresponding to
             `weight_file` parameter. For example, "/home/user/model.caffemodel". Default: "".
         config_file (str, optional): Set the path of the configuration file of Converter can be used to post-training,
-            offline split op to parallel, disable op fusion ability and set plugin so path. `config_file' uses the
+            offline split op to parallel, disable op fusion ability and set plugin so path. `config_file` uses the
             `key = value` method to define the related parameters.
             For the configuration parameters related to post training quantization, please refer to
             `quantization <https://www.mindspore.cn/lite/docs/en/master/use/post_training_quantization.html>`_ .

mindspore/python/mindspore/ops/operations/math_ops.py

@@ -5797,7 +5797,7 @@ class ComplexAbs(Primitive):
 
     Outputs:
         Tensor, has the same shape as x. If the type of x is complex64, the type of output is float32.
-          If the type of x is complex128, the type of output is float64.
+        If the type of x is complex128, the type of output is float64.
 
     Raises:
        TypeError: If the input is not a Tensor.
@@ -7332,7 +7332,7 @@ class MatrixTriangularSolve(Primitive):
     Raises:
         TypeError: If `matrix` or `rhs` is not a Tensor.
         TypeError: If `lower` or `adjoint` is not bool.
-        ValueError: If the batch sizes of `matrix`and `rhs` are not equal.
+        ValueError: If the batch sizes of `matrix` and `rhs` are not equal.
         ValueError: If the inner-most 2 dimensions of `matrix` are not equal.
         ValueError: If the second-last dimensions of `matrix` and `rhs` are not equal.
 

mindspore/python/mindspore/ops/operations/nn_ops.py

@@ -1405,9 +1405,9 @@ class DataFormatVecPermute(Primitive):
     Permute input tensor from src_format to dst_format.
 
     Args:
-        src_format (str): An optional value for source data format. The format can be 'NHWC' and 'NCHW'.
+        src_format (str, optional): An optional value for source data format. The format can be 'NHWC' and 'NCHW'.
             Default: 'NHWC'.
-        dst_format (str): An optional value for destination data format. The format can be 'NHWC' and 'NCHW'.
+        dst_format (str, optional): An optional value for destination data format. The format can be 'NHWC' and 'NCHW'.
             Default: 'NCHW'.
 
     Inputs:
@@ -10215,8 +10215,8 @@ class FractionalMaxPoolWithFixedKsize(Primitive):
         TypeError: If data type of `random_samples` is not one of the following: float16, float32, float64.
         ValueError: If `ksize` is not a number and `ksize` is not a tuple of length 2.
         ValueError: If `output_shape` is not a number and `output_shape` is not a tuple of length 2.
-        ValueError: If the sum of `ksize`, `output_shape` and -1 is larger than the corresponding
-            dimension of `input_x`.
+        ValueError: If the sum of `ksize` , `output_shape` and
+          -1 is larger than the corresponding dimension of `input_x`.
         ValueError: If the dimension of `random_samples` is not 3.
         ValueError: If the first dimension size of `input_x` and `random_samples` is not equal.
         ValueError: If the second dimension size of `input_x` and `random_samples` is not equal.