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modify code example, copyfrom: api_name (#4949)
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‎docs/api/paddle/CPUPlace_cn.rst

+1-6
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@@ -13,9 +13,4 @@ CPUPlace
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代码示例
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.. code-block:: python
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import paddle
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cpu_place = paddle.CPUPlace()
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COPY-FROM: paddle.CPUPlace

‎docs/api/paddle/CUDAPinnedPlace_cn.rst

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@@ -14,8 +14,4 @@ CUDAPinnedPlace
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代码示例
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.. code-block:: python
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import paddle
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place = paddle.CUDAPinnedPlace()
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COPY-FROM: paddle.CUDAPinnedPlace

‎docs/api/paddle/CUDAPlace_cn.rst

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@@ -24,12 +24,4 @@ CUDAPlace
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代码示例
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.. code-block:: python
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import paddle
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place = paddle.CUDAPlace(0)
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COPY-FROM: paddle.CUDAPlace

‎docs/api/paddle/ParamAttr_cn.rst

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@@ -35,15 +35,4 @@ ParamAttr
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代码示例
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.. code-block:: python
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import paddle
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weight_attr = paddle.ParamAttr(name="weight",
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learning_rate=0.5,
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regularizer=paddle.regularizer.L2Decay(1.0),
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trainable=True)
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print(weight_attr.name) # "weight"
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paddle.nn.Linear(3, 4, weight_attr=weight_attr)
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COPY-FROM: paddle.ParamAttr

‎docs/api/paddle/abs_cn.rst

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@@ -25,11 +25,4 @@ abs
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代码示例
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-1, -2, -3, -4], dtype='float32')
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res = paddle.abs(x)
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print(res)
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# [1, 2, 3, 4]
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COPY-FROM: paddle.abs

‎docs/api/paddle/acos_cn.rst

+1-8
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@@ -25,11 +25,4 @@ arccosine函数。
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代码示例
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-0.8183, 0.4912, -0.6444, 0.0371])
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res = paddle.acos(x)
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print(res)
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# [2.5293, 1.0573, 2.2711, 1.5336]
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COPY-FROM: paddle.acos

‎docs/api/paddle/acosh_cn.rst

+1-8
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@@ -27,11 +27,4 @@ Arccosh函数。
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代码示例
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([1., 3., 4., 5.])
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out = paddle.acosh(x)
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print(out)
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# [0. , 1.76274729, 2.06343699, 2.29243159]
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COPY-FROM: paddle.acosh

‎docs/api/paddle/add_cn.rst

+1-7
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@@ -33,10 +33,4 @@ add
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代码示例
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([2, 3, 4], 'float64')
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y = paddle.to_tensor([1, 5, 2], 'float64')
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z = paddle.add(x, y)
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print(z) # [3., 8., 6. ]
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COPY-FROM: paddle.add

‎docs/api/paddle/addmm_cn.rst

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@@ -33,16 +33,4 @@ addmm
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代码示例
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.. code-block:: python
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import paddle
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x = paddle.ones([2,2])
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y = paddle.ones([2,2])
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input = paddle.ones([2,2])
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out = paddle.addmm( input=input, x=x, y=y, beta=0.5, alpha=5.0 )
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print( out.numpy() )
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# [[10.5 10.5]
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# [10.5 10.5]]
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COPY-FROM: paddle.addmm

‎docs/api/paddle/all_cn.rst

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@@ -22,31 +22,4 @@ all
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代码示例
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.. code-block:: python
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import paddle
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import numpy as np
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# x is a bool Tensor variable with following elements:
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# [[True, False]
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# [True, True]]
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x = paddle.assign(np.array([[1, 0], [1, 1]], dtype='int32'))
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print(x)
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x = paddle.cast(x, 'bool')
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# out1 should be [False]
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out1 = paddle.all(x) # [False]
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print(out1)
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# out2 should be [True, False]
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out2 = paddle.all(x, axis=0) # [True, False]
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print(out2)
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# keepdim=False, out3 should be [False, True], out.shape should be (2,)
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out3 = paddle.all(x, axis=-1) # [False, True]
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print(out3)
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# keepdim=True, out4 should be [[False], [True]], out.shape should be (2,1)
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out4 = paddle.all(x, axis=1, keepdim=True)
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out4 = paddle.cast(out4, 'int32') # [[False], [True]]
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print(out4)
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COPY-FROM: paddle.all

‎docs/api/paddle/allclose_cn.rst

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@@ -29,33 +29,4 @@ allclose
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.. code-block:: python
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import paddle
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import numpy as np
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np_x = np.array([10000., 1e-07]).astype("float32")
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np_y = np.array([10000.1, 1e-08]).astype("float32")
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x = paddle.to_tensor (np_x)
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y = paddle.to_tensor (np_y)
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result1 = paddle.allclose(x, y, rtol=1e-05, atol=1e-08,
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equal_nan=False, name="ignore_nan")
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np_result1 = result1.numpy()
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# [False]
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result2 = paddle.allclose(x, y, rtol=1e-05, atol=1e-08,
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equal_nan=True, name="equal_nan")
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np_result2 = result2.numpy()
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# [False]
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np_x = np.array([1.0, float('nan')]).astype("float32")
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np_y = np.array([1.0, float('nan')]).astype("float32")
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x = paddle.to_tensor (np_x)
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y = paddle.to_tensor (np_y)
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result1 = paddle.allclose(x, y, rtol=1e-05, atol=1e-08,
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equal_nan=False, name="ignore_nan")
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np_result1 = result1.numpy()
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# [False]
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result2 = paddle.allclose(x, y, rtol=1e-05, atol=1e-08,
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equal_nan=True, name="equal_nan")
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np_result2 = result2.numpy()
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# [True]
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COPY-FROM: paddle.allclose

‎docs/api/paddle/any_cn.rst

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.. code-block:: python
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import paddle
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import numpy as np
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# x is a bool Tensor variable with following elements:
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# [[True, False]
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# [False, False]]
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x = paddle.assign(np.array([[1, 0], [1, 1]], dtype='int32'))
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print(x)
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x = paddle.cast(x, 'bool')
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# out1 should be [True]
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out1 = paddle.any(x) # [True]
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print(out1)
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# out2 should be [True, True]
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out2 = paddle.any(x, axis=0) # [True, True]
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print(out2)
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# keepdim=False, out3 should be [True, True], out.shape should be (2,)
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out3 = paddle.any(x, axis=-1) # [True, True]
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print(out3)
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# keepdim=True, result should be [[True], [True]], out.shape should be (2,1)
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out4 = paddle.any(x, axis=1, keepdim=True)
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out4 = paddle.cast(out4, 'int32') # [[True], [True]]
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print(out4)
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COPY-FROM: paddle.any

‎docs/api/paddle/arange_cn.rst

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.. code-block:: python
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import paddle
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out1 = paddle.arange(5)
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# [0, 1, 2, 3, 4]
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out2 = paddle.arange(3, 9, 2.0)
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# [3, 5, 7]
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# use 4.999 instead of 5.0 to avoid floating point rounding errors
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out3 = paddle.arange(4.999, dtype='float32')
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# [0., 1., 2., 3., 4.]
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start_var = paddle.to_tensor([3])
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out4 = paddle.arange(start_var, 7)
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# [3, 4, 5, 6]
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COPY-FROM: paddle.arange

‎docs/api/paddle/argsort_cn.rst

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@@ -25,38 +25,4 @@ Tensor，排序后索引信息（与 ``x`` 维度信息一致），数据类型
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([[[5,8,9,5],
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[0,0,1,7],
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[6,9,2,4]],
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[[5,2,4,2],
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[4,7,7,9],
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[1,7,0,6]]], dtype='float32')
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out1 = paddle.argsort(x=x, axis=-1)
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out2 = paddle.argsort(x=x, axis=0)
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out3 = paddle.argsort(x=x, axis=1)
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print(out1)
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#[[[0 3 1 2]
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# [0 1 2 3]
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# [2 3 0 1]]
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# [[1 3 2 0]
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# [0 1 2 3]
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# [2 0 3 1]]]
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print(out2)
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#[[[0 1 1 1]
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# [0 0 0 0]
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# [1 1 1 0]]
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# [[1 0 0 0]
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# [1 1 1 1]
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# [0 0 0 1]]]
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print(out3)
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#[[[1 1 1 2]
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# [0 0 2 0]
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# [2 2 0 1]]
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# [[2 0 2 0]
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# [1 1 0 2]
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# [0 2 1 1]]]
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COPY-FROM: paddle.argsort

‎docs/api/paddle/asin_cn.rst

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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-0.8183, 0.4912, -0.6444, 0.0371])
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res = paddle.asin(x)
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print(res)
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# [-0.9585, 0.5135, -0.7003, 0.0372]
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COPY-FROM: paddle.asin

‎docs/api/paddle/asinh_cn.rst

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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
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out = paddle.asinh(x)
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print(out)
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# [-0.39003533, -0.19869010, 0.09983408, 0.29567307]
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COPY-FROM: paddle.asinh

‎docs/api/paddle/atan2_cn.rst

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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-1, +1, +1, -1]).astype('float32')
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#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
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# [-1, 1, 1, -1])
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y = paddle.to_tensor([-1, -1, +1, +1]).astype('float32')
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#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
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# [-1, -1, 1, 1])
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out = paddle.atan2(x, y)
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#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
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# [-2.35619450, 2.35619450, 0.78539819, -0.78539819])
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COPY-FROM: paddle.atan2

‎docs/api/paddle/atan_cn.rst

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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-0.8183, 0.4912, -0.6444, 0.0371])
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res = paddle.atan(x)
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print(res)
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# [-0.6858, 0.4566, -0.5724, 0.0371]
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COPY-FROM: paddle.atan

‎docs/api/paddle/atanh_cn.rst

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@@ -24,11 +24,4 @@ Arctanh函数。
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.. code-block:: python
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import paddle
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x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
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out = paddle.atanh(x)
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print(out)
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# [-0.42364895, -0.20273256, 0.10033535, 0.30951962]
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COPY-FROM: paddle.atanh

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