[CodeStyle] Change python to pycon - part6 (#77608)

Author: ShigureNyako

python/paddle/pir/core.py

@@ -171,7 +171,7 @@ def default_startup_program():
     Returns type:
 
     Examples:
-        .. code-block:: python
+        .. code-block:: pycon
 
             >>> import paddle
 
@@ -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
 
@@ -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())
     """
@@ -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
@@ -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
@@ -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

python/paddle/pir/math_op_patch.py

@@ -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()
         """
@@ -284,7 +284,7 @@ def _ndim(self):
             the dimension
 
         Examples:
-            .. code-block:: python
+            .. code-block:: pycon
 
                 >>> import paddle
 
@@ -306,7 +306,7 @@ def ndimension(self):
             the dimension
 
         Examples:
-            .. code-block:: python
+            .. code-block:: pycon
 
                 >>> import paddle
 
@@ -328,7 +328,7 @@ def dim(self):
             the dimension
 
         Examples:
-            .. code-block:: python
+            .. code-block:: pycon
 
                 >>> import paddle
 
@@ -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
 
         """
@@ -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()
@@ -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()
@@ -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()
@@ -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()
@@ -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()
@@ -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()
@@ -984,7 +983,7 @@ def clone(self):
             Tensor, The cloned Tensor.
 
         Examples:
-            .. code-block:: python
+            .. code-block:: pycon
 
                 >>> import paddle
 
@@ -1011,7 +1010,7 @@ def clear_gradient(self):
         Returns:  None
 
         Examples:
-            .. code-block:: python
+            .. code-block:: pycon
 
                 >>> import paddle
                 >>> import numpy as np
@@ -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])
@@ -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])
@@ -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
@@ -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
@@ -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])
@@ -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
         """

python/paddle/reader/__init__.py

@@ -31,7 +31,7 @@
 items. It can be any function with no parameter that creates a iterable
 (anything can be used in :code:`for x in iterable`)\:
 
-.. code-block:: python
+.. code-block:: pycon
 
     >>> iterable = data_reader()
 
@@ -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
 
 """