未验证 提交 8fa3d367 编写于 作者: W wangchaochaohu 提交者: GitHub

Remove "TypeError" from some files as required (#27019)

上级 a7275226
......@@ -4815,11 +4815,6 @@ def split(input, num_or_sections, dim=-1, name=None):
Returns:
list(Tensor): The list of segmented Tensors.
Raises:
TypeError: The data type of ``input`` must be one of bool, float16, float32, float64, int32, int64.
TypeError: ``num_or_sections`` is not int, list or tuple.
TypeError: ``dim`` is not int or Tensor. The data type of ``dim`` must be int32 or int64 when it's a Tensor.
Example:
.. code-block:: python
......@@ -6103,11 +6098,6 @@ def reshape(x, shape, actual_shape=None, act=None, inplace=False, name=None):
Returns:
Tensor: A reshaped Tensor with the same data type as ``x``. It is a new tensor variable if ``inplace`` is ``False``, otherwise it is ``x``. If ``act`` is None, return the reshaped tensor variable, otherwise return the activated tensor variable.
Raises:
TypeError: If actual_shape is neither Tensor nor None.
ValueError: If more than one elements of ``shape`` is -1.
ValueError: If the element of ``shape`` is 0, the corresponding dimension should be less than or equal to the dimension of ``x``.
ValueError: If the elements in ``shape`` is negative except -1.
Examples:
.. code-block:: python
......@@ -8256,10 +8246,6 @@ def gather(input, index, overwrite=True):
Returns:
output (Tensor): The output is a tensor with the same rank as input.
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must to be one of float16, float32, float64, int32, int64, uint8.
TypeError: ``index`` must be a Tensor and the data type of ``index`` must be int32 or int64.
Examples:
.. code-block:: python
......@@ -8349,10 +8335,6 @@ def gather_nd(input, index, name=None):
Returns:
output (Tensor): A tensor with the shape index.shape[:-1] + input.shape[index.shape[-1]:]
Raises:
TypeError: ``input`` must be a Tensor and the data type of ``input`` must be one of float32, float64, int32 and int64.
TypeError: ``index`` must be a Tensor and the data type of ``index`` must be one of int32 and int64.
Examples:
......
......@@ -277,11 +277,6 @@ def concat(input, axis=0, name=None):
name (str, optional): The default value is None. Normally there is no
need for user to set this property. For more information, please
refer to :ref:`api_guide_Name`.
Raises:
TypeError: ``input`` must be one of list, tuple or Tensor.
TypeError: The data type of ``input`` must be one of bool, float16, float32, float64, int32 and int64.
TypeError: The ``axis`` must be int or Tensor. The dtype of ``axis`` must be int32 or int64 when it's a Tensor.
TypeError: All the Tensors in ``input`` must have the same data type.
Returns:
Tensor: A Tensor with the same data type as ``input``.
......@@ -1438,14 +1433,6 @@ def linspace(start, stop, num, dtype=None, name=None):
the data shape of this tensor is :math:`[num]` . If the :attr:`num` is set 1, the output tensor just has \
the value with input :attr:`start`.
Raises:
TypeError: The ``dtype`` must be one of int32, int64, float32 and float64.
TypeError: The type of ``num`` must be int When it's not a Tensor.
TypeError: The data type of ``num`` must be int32 When it's a Tensor.
TypeError: The data type of ``start`` and ``stop`` must be same as ``dtype`` When it's a Tensor.
Examples:
.. code-block:: python
......@@ -1614,9 +1601,6 @@ def eye(num_rows,
Returns:
Tensor: An identity Tensor or LoDTensor of shape batch_shape + [num_rows, num_columns].
Raises:
TypeError: The `dtype` must be one of float16, float32, float64, int32 and int64.
TypeError: The `num_columns` must be non-negative int.
Examples:
.. code-block:: python
......
......@@ -244,10 +244,6 @@ def full_like(x, fill_value, dtype=None, name=None):
Returns:
Tensor: Tensor which is created according to ``x``, ``fill_value`` and ``dtype``.
Raises:
TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
TypeError: The ``dtype`` must be one of bool, float16, float32, float64, int32, int64 and None.
Examples:
.. code-block:: python
......@@ -303,11 +299,6 @@ def ones(shape, dtype=None, name=None):
Returns:
Tensor: A tensor of data type :attr:`dtype` with shape :attr:`shape` and all elements set to 1.
Raises:
TypeError: The ``dtype`` must be one of bool, float16, float32, float64, int32, int64 and None.
TypeError: The ``shape`` must be one of list, tuple and Tensor. The data type of ``shape`` must
be int32 or int64 when it's a Tensor.
Examples:
.. code-block:: python
......@@ -391,11 +382,6 @@ def zeros(shape, dtype=None, name=None):
Returns:
Tensor: A tensor of data type :attr:`dtype` with shape :attr:`shape` and all elements set to 0.
Raises:
TypeError: The ``dtype`` must be one of bool, float16, float32, float64, int32, int64 and None.
TypeError: The ``shape`` must be one of list, tuple and Tensor. The data type of ``shape`` must
be int32 or int64 when it's a Tensor.
Examples:
.. code-block:: python
......@@ -480,10 +466,6 @@ def eye(num_rows, num_columns=None, dtype=None, name=None):
Returns:
Tensor: An identity Tensor or LoDTensor of shape [num_rows, num_columns].
Raises:
TypeError: The ``dtype`` must be one of float16, float32, float64, int32 int64 and None.
TypeError: The ``num_columns`` must be non-negative int.
Examples:
.. code-block:: python
......@@ -532,11 +514,6 @@ def full(shape, fill_value, dtype=None, name=None):
Returns:
Tensor: Tensor which is created according to ``shape``, ``fill_value`` and ``dtype``.
Raises:
TypeError: The ``dtype`` must be one of None, bool, float16, float32, float64, int32 and int64.
TypeError: The ``shape`` must be one of Tensor, list and tuple. The data type of ``shape`` must
be int32 or int64 when the it's a Tensor
Examples:
.. code-block:: python
......
......@@ -85,11 +85,6 @@ def concat(x, axis=0, name=None):
name (str, optional): The default value is None. Normally there is no
need for user to set this property. For more information, please
refer to :ref:`api_guide_Name`.
Raises:
TypeError: ``x`` must be list or tuple.
TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32 and int64.
TypeError: The ``axis`` must be int or Tensor. The dtype of ``axis`` must be int32 or int64 when it's a Tensor.
TypeError: All the Tensors in ``x`` must have the same data type.
Returns:
Tensor: A Tensor with the same data type as ``x``.
......@@ -474,10 +469,7 @@ def split(x, num_or_sections, axis=0, name=None):
For more information, please refer to :ref:`api_guide_Name` .
Returns:
list(Tensor): The list of segmented Tensors.
Raises:
TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
TypeError: ``num_or_sections`` is not int, list or tuple.
TypeError: ``axis`` is not int or Tensor. the data type of ``axis`` must be int32 or int64 when it's a Tensor.
Example:
.. code-block:: python
......@@ -796,11 +788,6 @@ def gather(x, index, axis=None, name=None):
Returns:
output (Tensor): The output is a tensor with the same rank as ``x``.
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must to be one of float16, float32, float64, int32, int64, uint8.
TypeError: ``index`` must be a Tensor and the data type of ``index`` must be int32 or int64.
TypeError: ``axis`` must be a Tensor or int and the data type of ``index`` must be int32 or int64 when it's a Tensor.
Examples:
.. code-block:: python
......@@ -1002,10 +989,7 @@ def chunk(x, chunks, axis=0, name=None):
For more information, please refer to :ref:`api_guide_Name` .
Returns:
list(Tensor): The list of segmented Tensors.
Raises:
TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
TypeError: ``chunks`` is not int.
TypeError: ``axis`` is not int or Tensor. the data type of ``axis`` must be int32 or int64 when it's a Tensor.
Example:
.. code-block:: python
......@@ -1290,11 +1274,6 @@ def reshape(x, shape, name=None):
Returns:
Tensor: A reshaped Tensor with the same data type as ``x``.
Raises:
ValueError: If more than one elements of ``shape`` is -1.
ValueError: If the element of ``shape`` is 0, the corresponding dimension should be less than or equal to the dimension of ``x``.
ValueError: If the elements in ``shape`` is negative except -1.
Examples:
.. code-block:: python
......@@ -1381,10 +1360,6 @@ def gather_nd(x, index, name=None):
Returns:
output (Tensor): A tensor with the shape index.shape[:-1] + input.shape[index.shape[-1]:]
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must be one of float32, float64, int32 and int64.
TypeError: ``index`` must be a Tensor and the data type of ``index`` must be one of int32 and int64.
Examples:
.. code-block:: python
......
......@@ -287,10 +287,6 @@ def index_select(x, index, axis=0, name=None):
Returns:
Tensor: A Tensor with same data type as ``x``.
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must be one of float32, float64, int32 and int64.
TypeError: ``index`` must be a Tensor and the data type of ``index`` must be int32 or int64.
Examples:
.. code-block:: python
......@@ -670,10 +666,6 @@ def masked_select(x, mask, name=None):
Returns: A 1-D Tensor which is the same data type as ``x``.
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must be one of float32, float64, int32 and int64.
TypeError: ``mask`` must be a Tensor and the data type of ``mask`` must be bool.
Examples:
.. code-block:: python
......
......@@ -237,10 +237,6 @@ def numel(x, name=None):
Returns:
Tensor: The number of elements for the input Tensor.
Raises:
TypeError: ``x`` must be a Tensor and the data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
Examples:
.. code-block:: python
......
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