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[CodeStyle] Change python to pycon - part8 #77610

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[CodeStyle] Change python to pycon - part8 #77610

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12 changes: 6 additions & 6 deletions python/paddle/pir/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -171,7 +171,7 @@ def default_startup_program():
Returns type:

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand Down Expand Up @@ -202,7 +202,7 @@ def default_main_program():
Program: A ``Program`` which holding the descriptions of OPs and tensors in the network.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand All @@ -213,7 +213,7 @@ def default_main_program():
>>> out = paddle.add(x, y)

>>> # print the number of blocks in the program, 1 in this case
>>> print(paddle.static.default_main_program().num_blocks) # 1
>>> print(paddle.static.default_main_program().num_blocks) # 1
>>> # print the default_main_program
>>> print(paddle.static.default_main_program())
"""
Expand Down Expand Up @@ -275,7 +275,7 @@ def program_guard(main_program, startup_program=None):
Default: None.

Examples:
.. code-block:: python
.. code-block:: pycon
:name: code-example-1

>>> import paddle
Expand All @@ -291,7 +291,7 @@ def program_guard(main_program, startup_program=None):
to construct either of startup program or main program.

Examples:
.. code-block:: python
.. code-block:: pycon
:name: code-example-2

>>> import paddle
Expand Down Expand Up @@ -556,7 +556,7 @@ def set_state_dict(program, state_dict, scope=None):
None

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> import paddle.static as static
Expand Down
47 changes: 23 additions & 24 deletions python/paddle/pir/math_op_patch.py
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Expand Up @@ -193,12 +193,12 @@ def cuda(self, device_id=None, blocking=True):
Examples:
In Static Graph Mode:

.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()

>>> x = paddle.static.data(name="x", shape=[2,2], dtype='float32')
>>> x = paddle.static.data(name="x", shape=[2, 2], dtype='float32')
>>> y = x.cpu()
>>> z = y.cuda()
"""
Expand Down Expand Up @@ -284,7 +284,7 @@ def _ndim(self):
the dimension

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand All @@ -306,7 +306,7 @@ def ndimension(self):
the dimension

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand All @@ -328,7 +328,7 @@ def dim(self):
the dimension

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand Down Expand Up @@ -418,17 +418,16 @@ def astype(self, dtype):
Examples:
In Static Graph Mode:

.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
>>> startup_prog = paddle.static.Program()
>>> main_prog = paddle.static.Program()
>>> with paddle.static.program_guard(startup_prog, main_prog):
... original_value = paddle.static.data(name = "new_value", shape=[2,2], dtype='float32')
... original_value = paddle.static.data(name="new_value", shape=[2, 2], dtype='float32')
... new_value = original_value.astype('int64')
... print(f"new value's dtype is: {new_value.dtype}")
...
new Tensor's dtype is: paddle.int64

"""
Expand Down Expand Up @@ -628,7 +627,7 @@ def _T_(self):
If `n` is the dimensions of `x` , `x.T` is equivalent to `x.transpose([n-1, n-2, ..., 0])`.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -657,7 +656,7 @@ def _mT_(self):
If `n` is the dimensions of `x` , `x.mT` is equivalent to `x.transpose([0, 1, ..., n-1, n-2])`.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -697,7 +696,7 @@ def _new_full_(
By default, the returned Tensor has the same dtype and place as this tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -744,7 +743,7 @@ def _new_empty_(
By default, the returned Tensor has the same dtype and place as this tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -790,7 +789,7 @@ def _new_ones_(
By default, the returned Tensor has the same dtype and place as this tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -837,7 +836,7 @@ def _new_zeros_(
By default, the returned Tensor has the same dtype and place as this tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> paddle.enable_static()
Expand Down Expand Up @@ -984,7 +983,7 @@ def clone(self):
Tensor, The cloned Tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle

Expand All @@ -1011,7 +1010,7 @@ def clear_gradient(self):
Returns: None

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> import numpy as np
Expand Down Expand Up @@ -1191,10 +1190,10 @@ def to(self, *args, **kwargs):
Tensor: self

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> x = paddle.to_tensor([1,2,3])
>>> x = paddle.to_tensor([1, 2, 3])
>>> print(x)
Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
[1, 2, 3])
Expand All @@ -1211,7 +1210,7 @@ def to(self, *args, **kwargs):
>>> print(x)
Tensor(shape=[3], dtype=int16, place=Place(gpu:0), stop_gradient=True,
[1, 2, 3])
>>> y = paddle.to_tensor([4,5,6])
>>> y = paddle.to_tensor([4, 5, 6])
>>> y
Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
[4, 5, 6])
Expand Down Expand Up @@ -1373,7 +1372,7 @@ def numpy(self):
Returns type:
ndarray: dtype is same as current Variable
Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> import paddle.base as base
Expand Down Expand Up @@ -1402,7 +1401,7 @@ def tolist(self):
list: Elements have the same dtype as current Variable

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> import paddle.base as base
Expand Down Expand Up @@ -1432,7 +1431,7 @@ def requires_grad(self) -> bool:
Setting requires_grad=True is equivalent to setting stop_gradient=False.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> x = paddle.randn([2, 3])
Expand Down Expand Up @@ -1477,10 +1476,10 @@ def itemsize(self) -> int:
Returns the number of bytes allocated on the machine for a single element of the Tensor.

Examples:
.. code-block:: python
.. code-block:: pycon

>>> import paddle
>>> x = paddle.randn((2,3),dtype=paddle.float64)
>>> x = paddle.randn((2, 3), dtype=paddle.float64)
>>> x.itemsize
8
"""
Expand Down
10 changes: 6 additions & 4 deletions python/paddle/reader/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,22 +43,24 @@

An example implementation for single item data reader creator:

.. code-block:: python
.. code-block:: pycon

>>> def reader_creator_random_image(width, height):
... def reader():
... while True:
... yield numpy.random.uniform(-1, 1, size=width*height)
... yield numpy.random.uniform(-1, 1, size=width * height)
...
... return reader

An example implementation for multiple item data reader creator:

.. code-block:: python
.. code-block:: pycon

>>> def reader_creator_random_image_and_label(width, height, label):
... def reader():
... while True:
... yield numpy.random.uniform(-1, 1, size=width*height), label
... yield numpy.random.uniform(-1, 1, size=width * height), label
...
... return reader

"""
Expand Down
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