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[cherry-pick2.0]Update doc of paddle.to tensor #26968

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Sep 4, 2020
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[cherry-pick2.0]Update doc of paddle.to tensor #26968

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293678c
update doc of paddle.to_tensor
zhwesky2010 Sep 2, 2020
8e777a1
Merge branch 'release/2.0-beta' of https://github.com/PaddlePaddle/Pa…
zhwesky2010 Sep 4, 2020
8e60f87
Merge branch 'release/2.0-beta' of https://github.com/PaddlePaddle/Pa…
zhwesky2010 Sep 4, 2020
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11 changes: 3 additions & 8 deletions python/paddle/fluid/layers/nn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12163,13 +12163,10 @@ def logical_and(x, y, out=None, name=None):
.. code-block:: python

import paddle
import numpy as np

paddle.disable_static()
x_data = np.array([True], dtype=np.bool)
y_data = np.array([True, False, True, False], dtype=np.bool)
x = paddle.to_tensor(x_data)
y = paddle.to_tensor(y_data)
x = paddle.to_tensor([True])
y = paddle.to_tensor([True, False, True, False])
res = paddle.logical_and(x, y)
print(res.numpy()) # [True False True False]
"""
Expand Down Expand Up @@ -12282,11 +12279,9 @@ def logical_not(x, out=None, name=None):
Examples:
.. code-block:: python
import paddle
import numpy as np

paddle.disable_static()
x_data = np.array([True, False, True, False], dtype=np.bool)
x = paddle.to_variable(x_data)
x = paddle.to_tensor([True, False, True, False])
res = paddle.logical_not(x)
print(res.numpy()) # [False True False True]
"""
Expand Down
89 changes: 23 additions & 66 deletions python/paddle/fluid/layers/ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -86,13 +86,11 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
import paddle.nn.functional as F
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = F.sigmoid(x)
print(out.numpy())
# [0.40131234 0.450166 0.52497919 0.57444252]
Expand All @@ -103,13 +101,11 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
import paddle.nn.functional as F
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = F.logsigmoid(x)
print(out.numpy())
# [-0.91301525 -0.79813887 -0.64439666 -0.55435524]
Expand All @@ -120,12 +116,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.exp(x)
print(out.numpy())
# [0.67032005 0.81873075 1.10517092 1.34985881]
Expand All @@ -136,12 +130,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.tanh(x)
print(out.numpy())
# [-0.37994896 -0.19737532 0.09966799 0.29131261]
Expand All @@ -152,12 +144,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.atan(x)
print(out.numpy())
# [-0.38050638 -0.19739556 0.09966865 0.29145679]
Expand All @@ -170,11 +160,10 @@

import paddle
import paddle.nn.functional as F
import numpy as np

paddle.disable_static()

x = paddle.to_tensor(np.array([-0.4, -0.2, 0.1, 0.3]))
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = F.tanhshrink(x) # [-0.020051, -0.00262468, 0.000332005, 0.00868739]

""")
Expand All @@ -183,12 +172,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([0.1, 0.2, 0.3, 0.4])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([0.1, 0.2, 0.3, 0.4])
out = paddle.sqrt(x)
print(out.numpy())
# [0.31622777 0.4472136 0.54772256 0.63245553]
Expand All @@ -199,12 +186,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([0.1, 0.2, 0.3, 0.4])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([0.1, 0.2, 0.3, 0.4])
out = paddle.rsqrt(x)
print(out.numpy())
# [3.16227766 2.23606798 1.82574186 1.58113883]
Expand All @@ -215,12 +200,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.abs(x)
print(out.numpy())
# [0.4 0.2 0.1 0.3]
Expand All @@ -231,12 +214,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.ceil(x)
print(out.numpy())
# [-0. -0. 1. 1.]
Expand All @@ -247,12 +228,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.floor(x)
print(out.numpy())
# [-1. -1. 0. 0.]
Expand All @@ -263,12 +242,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.cos(x)
print(out.numpy())
# [0.92106099 0.98006658 0.99500417 0.95533649]
Expand All @@ -279,12 +256,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.acos(x)
print(out.numpy())
# [1.98231317 1.77215425 1.47062891 1.26610367]
Expand All @@ -295,12 +270,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.sin(x)
print(out.numpy())
# [-0.38941834 -0.19866933 0.09983342 0.29552021]
Expand All @@ -311,12 +284,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.asin(x)
print(out.numpy())
# [-0.41151685 -0.20135792 0.10016742 0.30469265]
Expand All @@ -327,12 +298,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.cosh(x)
print(out.numpy())
# [1.08107237 1.02006676 1.00500417 1.04533851]
Expand All @@ -343,12 +312,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.sinh(x)
print(out.numpy())
# [-0.41075233 -0.201336 0.10016675 0.30452029]
Expand All @@ -359,12 +326,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.5, -0.2, 0.6, 1.5])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.5, -0.2, 0.6, 1.5])
out = paddle.round(x)
print(out.numpy())
# [-1. -0. 1. 2.]
Expand All @@ -375,12 +340,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.reciprocal(x)
print(out.numpy())
# [-2.5 -5. 10. 3.33333333]
Expand All @@ -391,12 +354,10 @@
Examples:
.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()

x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_variable(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.square(x)
print(out.numpy())
# [0.16 0.04 0.01 0.09]
Expand All @@ -409,11 +370,10 @@

import paddle
import paddle.nn.functional as F
import numpy as np

paddle.disable_static()

x = paddle.to_tensor(np.array([-0.4, -0.2, 0.1, 0.3]))
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = F.softplus(x) # [0.513015, 0.598139, 0.744397, 0.854355]

""")
Expand All @@ -424,11 +384,10 @@

import paddle
import paddle.nn.functional as F
import numpy as np

paddle.disable_static()

x = paddle.to_tensor(np.array([-0.4, -0.2, 0.1, 0.3]))
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = F.softsign(x) # [-0.285714, -0.166667, 0.0909091, 0.230769]

""")
Expand Down Expand Up @@ -761,11 +720,9 @@ def erf(x, name=None):

.. code-block:: python

import numpy as np
import paddle
paddle.disable_static()
x_data = np.array([-0.4, -0.2, 0.1, 0.3])
x = paddle.to_tensor(x_data)
x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
out = paddle.erf(x)
print(out.numpy())
# [-0.42839236 -0.22270259 0.11246292 0.32862676]
Expand Down
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