[xdoctest][task 198-199] reformat example code with google style in `tensor/*` (#56186)

* [Doctest]fix No.198-199, test=docs_preview

* [Doctest]fix No.199, test=docs_preview

* abandon fluid

* fix ()

* fix code

python/paddle/tensor/array.py

@@ -34,16 +34,17 @@ def array_length(array):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            arr = paddle.tensor.create_array(dtype='float32')
-            x = paddle.full(shape=[3, 3], fill_value=5, dtype="float32")
-            i = paddle.zeros(shape=[1], dtype="int32")
+            >>> arr = paddle.tensor.create_array(dtype='float32')
+            >>> x = paddle.full(shape=[3, 3], fill_value=5, dtype="float32")
+            >>> i = paddle.zeros(shape=[1], dtype="int32")
 
-            arr = paddle.tensor.array_write(x, i, array=arr)
+            >>> arr = paddle.tensor.array_write(x, i, array=arr)
 
-            arr_len = paddle.tensor.array_length(arr)
-            print(arr_len)  # 1
+            >>> arr_len = paddle.tensor.array_length(arr)
+            >>> print(arr_len)
+            1
     """
     if in_dynamic_mode():
         assert isinstance(
@@ -98,16 +99,17 @@ def array_read(array, i):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            arr = paddle.tensor.create_array(dtype="float32")
-            x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
-            i = paddle.zeros(shape=[1], dtype="int32")
+            >>> arr = paddle.tensor.create_array(dtype="float32")
+            >>> x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
+            >>> i = paddle.zeros(shape=[1], dtype="int32")
 
-            arr = paddle.tensor.array_write(x, i, array=arr)
+            >>> arr = paddle.tensor.array_write(x, i, array=arr)
 
-            item = paddle.tensor.array_read(arr, i)
-            print(item)     # [[5., 5., 5.]]
+            >>> item = paddle.tensor.array_read(arr, i)
+            >>> print(item.numpy())
+            [[5. 5. 5.]]
     """
     if in_dynamic_mode():
         assert isinstance(
@@ -158,16 +160,17 @@ def array_write(x, i, array=None):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            arr = paddle.tensor.create_array(dtype="float32")
-            x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
-            i = paddle.zeros(shape=[1], dtype="int32")
+            >>> arr = paddle.tensor.create_array(dtype="float32")
+            >>> x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
+            >>> i = paddle.zeros(shape=[1], dtype="int32")
 
-            arr = paddle.tensor.array_write(x, i, array=arr)
+            >>> arr = paddle.tensor.array_write(x, i, array=arr)
 
-            item = paddle.tensor.array_read(arr, i)
-            print(item)     # [[5., 5., 5.]]
+            >>> item = paddle.tensor.array_read(arr, i)
+            >>> print(item.numpy())
+            [[5. 5. 5.]]
     """
     if in_dynamic_mode():
         assert isinstance(
@@ -236,16 +239,17 @@ def create_array(dtype, initialized_list=None):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            arr = paddle.tensor.create_array(dtype="float32")
-            x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
-            i = paddle.zeros(shape=[1], dtype="int32")
+            >>> arr = paddle.tensor.create_array(dtype="float32")
+            >>> x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
+            >>> i = paddle.zeros(shape=[1], dtype="int32")
 
-            arr = paddle.tensor.array_write(x, i, array=arr)
+            >>> arr = paddle.tensor.array_write(x, i, array=arr)
 
-            item = paddle.tensor.array_read(arr, i)
-            print(item)     # [[5., 5., 5.]]
+            >>> item = paddle.tensor.array_read(arr, i)
+            >>> print(item.numpy())
+            [[5. 5. 5.]]
 
     """
     array = []

python/paddle/tensor/attribute.py

@@ -42,12 +42,12 @@ def rank(input):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            input = paddle.rand((3, 100, 100))
-            rank = paddle.rank(input)
-            print(rank)
-            # 3
+            >>> input = paddle.rand((3, 100, 100))
+            >>> rank = paddle.rank(input)
+            >>> print(rank.numpy())
+            3
     """
     check_type(input, 'input', (Variable), 'input')
     ndims = len(input.shape)
@@ -87,21 +87,21 @@ def shape(input):
     Examples:
         .. code-block:: python
 
-            import paddle.fluid as fluid
-            import numpy as np
-            import paddle
-            paddle.enable_static()
+            >>> import numpy as np
+            >>> import paddle
+            >>> paddle.enable_static()
 
-            inputs = paddle.static.data(name="x", shape=[3, 100, 100], dtype="float32")
-            output = paddle.shape(inputs)
+            >>> inputs = paddle.static.data(name="x", shape=[3, 100, 100], dtype="float32")
+            >>> output = paddle.shape(inputs)
 
-            exe = fluid.Executor(fluid.CPUPlace())
-            exe.run(fluid.default_startup_program())
+            >>> exe = paddle.static.Executor(paddle.CPUPlace())
+            >>> exe.run(paddle.static.default_startup_program())
 
-            img = np.ones((3, 100, 100)).astype(np.float32)
+            >>> img = np.ones((3, 100, 100)).astype(np.float32)
 
-            res = exe.run(fluid.default_main_program(), feed={'x':img}, fetch_list=[output])
-            print(res) # [array([  3, 100, 100], dtype=int32)]
+            >>> res = exe.run(paddle.static.default_main_program(), feed={'x':img}, fetch_list=[output])
+            >>> print(res)
+            [array([  3, 100, 100], dtype=int32)]
     """
     if in_dygraph_mode():
         out = _C_ops.shape(input)
@@ -149,19 +149,19 @@ def is_complex(x):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            x = paddle.to_tensor([1 + 2j, 3 + 4j])
-            print(paddle.is_complex(x))
-            # True
+            >>> x = paddle.to_tensor([1 + 2j, 3 + 4j])
+            >>> print(paddle.is_complex(x))
+            True
 
-            x = paddle.to_tensor([1.1, 1.2])
-            print(paddle.is_complex(x))
-            # False
+            >>> x = paddle.to_tensor([1.1, 1.2])
+            >>> print(paddle.is_complex(x))
+            False
 
-            x = paddle.to_tensor([1, 2, 3])
-            print(paddle.is_complex(x))
-            # False
+            >>> x = paddle.to_tensor([1, 2, 3])
+            >>> print(paddle.is_complex(x))
+            False
     """
     if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
         raise TypeError(f"Expected Tensor, but received type of x: {type(x)}")
@@ -186,14 +186,14 @@ def is_floating_point(x):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            x = paddle.arange(1., 5., dtype='float32')
-            y = paddle.arange(1, 5, dtype='int32')
-            print(paddle.is_floating_point(x))
-            # True
-            print(paddle.is_floating_point(y))
-            # False
+            >>> x = paddle.arange(1., 5., dtype='float32')
+            >>> y = paddle.arange(1, 5, dtype='int32')
+            >>> print(paddle.is_floating_point(x))
+            True
+            >>> print(paddle.is_floating_point(y))
+            False
     """
     if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
         raise TypeError(f"Expected Tensor, but received type of x: {type(x)}")
@@ -219,19 +219,19 @@ def is_integer(x):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
 
-            x = paddle.to_tensor([1 + 2j, 3 + 4j])
-            print(paddle.is_integer(x))
-            # False
+            >>> x = paddle.to_tensor([1 + 2j, 3 + 4j])
+            >>> print(paddle.is_integer(x))
+            False
 
-            x = paddle.to_tensor([1.1, 1.2])
-            print(paddle.is_integer(x))
-            # False
+            >>> x = paddle.to_tensor([1.1, 1.2])
+            >>> print(paddle.is_integer(x))
+            False
 
-            x = paddle.to_tensor([1, 2, 3])
-            print(paddle.is_integer(x))
-            # True
+            >>> x = paddle.to_tensor([1, 2, 3])
+            >>> print(paddle.is_integer(x))
+            True
     """
     if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
         raise TypeError(f"Expected Tensor, but received type of x: {type(x)}")
@@ -261,23 +261,26 @@ def real(x, name=None):
     Examples:
         .. code-block:: python
 
-            import paddle
-
-            x = paddle.to_tensor(
-                [[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
-            # Tensor(shape=[2, 3], dtype=complex64, place=CUDAPlace(0), stop_gradient=True,
-            #        [[(1+6j), (2+5j), (3+4j)],
-            #         [(4+3j), (5+2j), (6+1j)]])
-
-            real_res = paddle.real(x)
-            # Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
-            #        [[1., 2., 3.],
-            #         [4., 5., 6.]])
-
-            real_t = x.real()
-            # Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
-            #        [[1., 2., 3.],
-            #         [4., 5., 6.]])
+            >>> import paddle
+
+            >>> x = paddle.to_tensor(
+            ...     [[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
+            >>> print(x)
+            Tensor(shape=[2, 3], dtype=complex64, place=Place(cpu), stop_gradient=True,
+            [[(1+6j), (2+5j), (3+4j)],
+             [(4+3j), (5+2j), (6+1j)]])
+
+            >>> real_res = paddle.real(x)
+            >>> print(real_res)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[1., 2., 3.],
+             [4., 5., 6.]])
+
+            >>> real_t = x.real()
+            >>> print(real_t)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[1., 2., 3.],
+             [4., 5., 6.]])
     """
     if in_dygraph_mode():
         return _C_ops.real(x)
@@ -306,23 +309,26 @@ def imag(x, name=None):
     Examples:
         .. code-block:: python
 
-            import paddle
-
-            x = paddle.to_tensor(
-                [[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
-            # Tensor(shape=[2, 3], dtype=complex64, place=CUDAPlace(0), stop_gradient=True,
-            #        [[(1+6j), (2+5j), (3+4j)],
-            #         [(4+3j), (5+2j), (6+1j)]])
-
-            imag_res = paddle.imag(x)
-            # Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
-            #        [[6., 5., 4.],
-            #         [3., 2., 1.]])
-
-            imag_t = x.imag()
-            # Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
-            #        [[6., 5., 4.],
-            #         [3., 2., 1.]])
+            >>> import paddle
+
+            >>> x = paddle.to_tensor(
+            ...     [[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
+            >>> print(x)
+            Tensor(shape=[2, 3], dtype=complex64, place=Place(cpu), stop_gradient=True,
+            [[(1+6j), (2+5j), (3+4j)],
+             [(4+3j), (5+2j), (6+1j)]])
+
+            >>> imag_res = paddle.imag(x)
+            >>> print(imag_res)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[6., 5., 4.],
+             [3., 2., 1.]])
+
+            >>> imag_t = x.imag()
+            >>> print(imag_t)
+            Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[6., 5., 4.],
+             [3., 2., 1.]])
     """
     if in_dygraph_mode():
         return _C_ops.imag(x)