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未验证 提交 54dd19be 编写于 作者: L Ligoml 提交者： GitHub
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[Docs]fix return_type issue (#47371) 

* fix_docs_broadcast_tensors

* fix_docs_concat

* fix_manipulation

* copyright; test=document_fix
上级 d17d0cd1
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Showing with 43 addition and 43 deletion
python/paddle/tensor/manipulation.py
浏览文件 @ 54dd19be
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -55,7 +55,7 @@ def cast(x, dtype):
bool, float16, float32, float64, int8, int32, int64, uint8.
Returns:
Tensor: A Tensor with the same shape as input's.
Tensor, A Tensor with the same shape as input's.
Examples:
.. code-block:: python
......@@ -169,7 +169,7 @@ def slice(input, axes, starts, ends):
It represents ending indices of corresponding axis in ``axes``.
Returns:
Tensor: A ``Tensor``. The data type is same as ``input``.
Tensor, A ``Tensor``. The data type is same as ``input``.
Examples:
.. code-block:: python
......@@ -388,7 +388,7 @@ def transpose(x, perm, name=None):
name (str): The name of this layer. It is optional.
Returns:
Tensor: A transposed n-D Tensor, with data type being bool, float32, float64, int32, int64.
Tensor, A transposed n-D Tensor, with data type being bool, float32, float64, int32, int64.
For Example:
......@@ -492,7 +492,7 @@ def unstack(x, axis=0, num=None):
num (int|None): The number of output variables.
Returns:
list(Tensor): The unstacked Tensors list. The list elements are N-D Tensors of data types float32, float64, int32, int64.
list(Tensor), The unstacked Tensors list. The list elements are N-D Tensors of data types float32, float64, int32, int64.
Examples:
.. code-block:: python
......@@ -666,7 +666,7 @@ def crop(x, shape=None, offsets=None, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: The cropped Tensor has same data type with `x`.
Tensor, The cropped Tensor has same data type with `x`.
Examples:
......@@ -824,7 +824,7 @@ def fill_(x, value):
value (Scale): ``value`` is the value to be filled in x
Returns:
x(Tensor): Tensor x filled with value inplace
x(Tensor), Tensor x filled with value inplace
Examples:
.. code-block:: python
......@@ -862,7 +862,7 @@ def zero_(x):
x (Tensor): ``x`` is the Tensor we want to filled with zero inplace
Returns:
x (Tensor): Tensor x filled with zero inplace
x (Tensor), Tensor x filled with zero inplace
Examples:
.. code-block:: python
......@@ -899,7 +899,7 @@ def fill_diagonal_(x, value, offset=0, wrap=False, name=None):
name(str,optional): Name for the operation (optional, default is None)
Returns:
Tensor: Tensor with diagonal filled with value.
Tensor, Tensor with diagonal filled with value.
Examples:
.. code-block:: python
......@@ -1000,7 +1000,7 @@ def fill_diagonal_tensor_(x, y, offset=0, dim1=0, dim2=1, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: Tensor with diagonal filled with y.
Tensor, Tensor with diagonal filled with y.
Examples:
.. code-block:: python
......@@ -1031,7 +1031,7 @@ def fill_diagonal_tensor(x, y, offset=0, dim1=0, dim2=1, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: Tensor with diagonal filled with y.
Tensor, Tensor with diagonal filled with y.
Examples:
.. code-block:: python
......@@ -1061,7 +1061,7 @@ def tolist(x):
x (Tensor): ``x`` is the Tensor we want to translate to list.
Returns:
list: A list that contain the same value of current Tensor.
list, A list that contain the same value of current Tensor.
Examples:
......@@ -1095,7 +1095,7 @@ def concat(x, axis=0, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: A Tensor with the same data type as ``x``.
Tensor, A Tensor with the same data type as ``x``.
Examples:
.. code-block:: python
......@@ -1227,7 +1227,7 @@ def broadcast_tensors(input, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
list(Tensor): The list of broadcasted tensors following the same order as ``input``.
list(Tensor), The list of broadcasted tensors following the same order as ``input``.
Examples:
.. code-block:: python
......@@ -1328,7 +1328,7 @@ def flip(x, axis, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: Tensor or LoDTensor calculated by flip layer. The data type is same with input x.
Tensor, Tensor or LoDTensor calculated by flip layer. The data type is same with input x.
Examples:
.. code-block:: python
......@@ -1386,7 +1386,7 @@ def rot90(x, k=1, axes=[0, 1], name=None):
For more information, please refer to :ref:`api_guide_Name` .
Returns:
Tensor: Tensor or LoDTensor calculated by rot90 layer. The data type is same with input x.
Tensor, Tensor or LoDTensor calculated by rot90 layer. The data type is same with input x.
Examples:
.. code-block:: python
......@@ -1529,7 +1529,7 @@ def flatten(x, start_axis=0, stop_axis=-1, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: A tensor with the contents of the input tensor, with input \
Tensor, A tensor with the contents of the input tensor, with input \
axes flattened by indicated start axis and end axis. \
A Tensor with data type same as input x.
......@@ -1667,7 +1667,7 @@ def roll(x, shifts, axis=None, name=None):
Returns:
Tensor: A Tensor with same data type as `x`.
Tensor, A Tensor with same data type as `x`.
Examples:
.. code-block:: python
......@@ -1801,7 +1801,7 @@ def stack(x, axis=0, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: The stacked tensor with same data type as input.
Tensor, The stacked tensor with same data type as input.
Example:
.. code-block:: python
......@@ -1905,7 +1905,7 @@ def split(x, num_or_sections, 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` .
Returns:
list(Tensor): The list of segmented Tensors.
list(Tensor), The list of segmented Tensors.
Example:
.. code-block:: python
......@@ -2171,7 +2171,7 @@ def squeeze(x, axis=None, name=None):
name (str, optional): Please refer to :ref:`api_guide_Name`, Default None.
Returns:
Tensor: Squeezed Tensor with the same data type as input Tensor.
Tensor, Squeezed Tensor with the same data type as input Tensor.
Examples:
.. code-block:: python
......@@ -2296,7 +2296,7 @@ def unique_consecutive(
:ref:`api_guide_Name`. Default is None.
Returns:
tuple: (out, inverse, counts). `out` is the unique consecutive tensor for `x`. `inverse` is provided only if `return_inverse` is True. `counts` is provided only if `return_counts` is True.
tuple (out, inverse, counts). `out` is the unique consecutive tensor for `x`. `inverse` is provided only if `return_inverse` is True. `counts` is provided only if `return_counts` is True.
Example:
.. code-block:: python
......@@ -2587,7 +2587,7 @@ def unsqueeze(x, axis, name=None):
name (str|None): Name for this layer. Please refer to :ref:`api_guide_Name`, Default None.
Returns:
Tensor: Unsqueezed Tensor with the same data type as input Tensor.
Tensor, Unsqueezed Tensor with the same data type as input Tensor.
Examples:
.. code-block:: python
......@@ -2731,7 +2731,7 @@ def gather(x, index, axis=None, name=None):
For more information, please refer to :ref:`api_guide_Name` .
Returns:
output (Tensor): The output is a tensor with the same rank as ``x``.
output (Tensor), The output is a tensor with the same rank as ``x``.
Examples:
......@@ -2797,7 +2797,7 @@ def unbind(input, axis=0):
axis (int32|int64, optional): A scalar with type ``int32|int64`` shape [1]. The dimension along which to unbind.
If :math:`axis < 0`, the dimension to unbind along is :math:`rank(input) + axis`. Default is 0.
Returns:
list(Tensor): The list of segmented Tensor variables.
list(Tensor), The list of segmented Tensor variables.
Example:
.. code-block:: python
......@@ -2895,7 +2895,7 @@ def scatter(x, index, updates, overwrite=True, 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` .
Returns:
Tensor: The output is a Tensor with the same shape as x.
Tensor, The output is a Tensor with the same shape as x.
Examples:
.. code-block:: python
......@@ -3014,7 +3014,7 @@ def scatter_nd_add(x, index, updates, name=None):
name (str|None): The output tensor name. If set None, the layer will be named automatically.
Returns:
output (Tensor): The output is a tensor with the same shape and dtype as x.
output (Tensor), The output is a tensor with the same shape and dtype as x.
Examples:
......@@ -3075,7 +3075,7 @@ def scatter_nd(index, updates, shape, name=None):
name (str|None): The output Tensor name. If set None, the layer will be named automatically.
Returns:
output (Tensor): The output is a tensor with the same type as :attr:`updates` .
output (Tensor), The output is a tensor with the same type as :attr:`updates` .
Examples:
......@@ -3107,7 +3107,7 @@ def chunk(x, chunks, 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` .
Returns:
list(Tensor): The list of segmented Tensors.
list(Tensor), The list of segmented Tensors.
Examples:
.. code-block:: python
......@@ -3262,7 +3262,7 @@ def expand_as(x, y, 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`.
Returns:
N-D Tensor: A Tensor with the same shape as ``y``. The data type is the same as ``x``.
N-D Tensor, A Tensor with the same shape as ``y``. The data type is the same as ``x``.
Examples:
.. code-block:: python
......@@ -3324,7 +3324,7 @@ def broadcast_to(x, shape, name=None):
The value -1 in shape means keeping the corresponding dimension unchanged.
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
N-D Tensor: A Tensor with the given shape. The data type is the same as ``x``.
N-D Tensor, A Tensor with the given shape. The data type is the same as ``x``.
Examples:
.. code-block:: python
......@@ -3418,7 +3418,7 @@ def expand(x, shape, 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` .
Returns:
N-D Tensor: A Tensor with the given shape. The data type is the same as ``x``.
N-D Tensor, A Tensor with the given shape. The data type is the same as ``x``.
Examples:
.. code-block:: python
......@@ -3531,7 +3531,7 @@ def reshape(x, shape, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: A reshaped Tensor with the same data type as ``x``.
Tensor, A reshaped Tensor with the same data type as ``x``.
Examples:
.. code-block:: python
......@@ -3805,7 +3805,7 @@ def gather_nd(x, index, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
output (Tensor): A tensor with the shape index.shape[:-1] + input.shape[index.shape[-1]:]
output (Tensor), A tensor with the shape index.shape[:-1] + input.shape[index.shape[-1]:]
Examples:
......@@ -3903,7 +3903,7 @@ def strided_slice(x, axes, starts, ends, strides, name=None):
For more information, please refer to :ref:`api_guide_Name` .
Returns:
Tensor: A ``Tensor`` with the same dimension as ``x``. The data type is same as ``x``.
Tensor, A ``Tensor`` with the same dimension as ``x``. The data type is same as ``x``.
Examples:
.. code-block:: python
......@@ -4072,7 +4072,7 @@ def tensordot(x, y, axes=2, name=None):
For more information, please refer to :ref:`api_guide_Name` .
Return:
Output (Tensor): The contraction result with the same data type as ``x`` and ``y``.
Output (Tensor), The contraction result with the same data type as ``x`` and ``y``.
In general, :math:`output.ndim = x.ndim + y.ndim - 2 \times n_{axes}`, where :math:`n_{axes}` denotes the number of axes to be contracted.
NOTES:
......@@ -4277,7 +4277,7 @@ def as_complex(x, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: The output. Data type is 'complex64' or 'complex128', with the same precision as the input.
Tensor, The output. Data type is 'complex64' or 'complex128', with the same precision as the input.
Examples:
.. code-block:: python
......@@ -4324,7 +4324,7 @@ def as_real(x, name=None):
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: The output. Data type is 'float32' or 'float64', with the same precision as the input.
Tensor, The output. Data type is 'float32' or 'float64', with the same precision as the input.
Examples:
.. code-block:: python
......@@ -4376,7 +4376,7 @@ def repeat_interleave(x, repeats, axis=None, name=None):
refer to :ref:`api_guide_Name`.
Returns:
Tensor: A Tensor with same data type as ``x``.
Tensor, A Tensor with same data type as ``x``.
Examples:
.. code-block:: python
......@@ -4445,7 +4445,7 @@ def moveaxis(x, source, destination, name=None):
property. For more information, please refer to :ref:`api_guide_Name`.
Returns:
Tensor: A new tensor whose axis have been moved.
Tensor, A new tensor whose axis have been moved.
Examples:
.. code-block:: python
......@@ -4588,7 +4588,7 @@ def take_along_axis(arr, indices, axis):
axis (int) : The axis to take 1d slices along.
Returns:
Tensor: The indexed element, same dtype with arr
Tensor, The indexed element, same dtype with arr
Examples:
.. code-block:: python
......@@ -4658,7 +4658,7 @@ def put_along_axis(arr, indices, values, axis, reduce='assign'):
reduce (str, optional): The reduce operation, default is 'assign', support 'add', 'assign', 'mul' and 'multiply'.
Returns:
Tensor: The indexed element, same dtype with arr
Tensor, The indexed element, same dtype with arr
Examples:
.. code-block:: python
......@@ -4760,7 +4760,7 @@ def index_add(x, index, axis, value, name=None):
name(str, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None.
Returns:
Tensor: same dimention and dtype with x.
Tensor, same dimention and dtype with x.
Examples:
.. code-block:: python
......
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