diff --git a/python/paddle/tensor/array.py b/python/paddle/tensor/array.py index c4503bb1aec4ec2d32d705a662e782c2d2aa05af..801aa78d4929a82b102a18b0f54506efd6b3145c 100644 --- a/python/paddle/tensor/array.py +++ b/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 = [] diff --git a/python/paddle/tensor/attribute.py b/python/paddle/tensor/attribute.py index f1d4b0d8bbc0f30161f8aefd2e59e3f8aac6f008..a7f9e5cef229727674ce8e0927e9f6269bbaac13 100644 --- a/python/paddle/tensor/attribute.py +++ b/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)