\;j_ddlmZddlmZddlmZddlmZmZddl m Z m Z m Z m Z dd d Zgd Zd gZgd ZgZe ded<e ded<eeD]ZeZeevreeZe eZeee<!eeD]ZeZeevreeZe eZeee<!eeD].ZeZeevreeZe eZee_eeZeee<0e edde edde edde edde ed de edde eddd8d Zd8d!Zd8d"Zd8d#Zd8d$Zd8d%Z d8d&Z!d8d'Z"d8d(Z#d8d)Z$d8d*Z%d8d+Z&d8d,Z'd8d-Z(d8d.Z)d8d/Z*d8d0Z+d8d1Z,d8d2Z-d8d3Z.d8d4Z/e d5Z0d8d6Z1d7e1_2y)9)inplace_apis_in_dygraph_only)_C_ops)check_variable_and_dtype) LayerHelperin_dynamic_or_pir_mode)add_sample_codegenerate_activation_fngenerate_inplace_fngenerate_layer_fn tanhshrink log_sigmoid) tanh_shrink logsigmoid)silurrsoftplussoftsigntanhabs)exp_sqrt_rsqrt_ceil_floor_round_ reciprocal_sigmoid_abs_sin_sinh_asin_asinh_cos_cosh_acos_acosh_tan_atan_atanh_expm1_erf_square_scale_scaleelementwise_div_elementwise_divrab Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0]) >>> out = F.silu(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.73105860, 1.76159406, 2.85772228, 3.92805505]) rao Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = F.log_sigmoid(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.91301525, -0.79813892, -0.64439666, -0.55435526]) ra@ Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.tanh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.37994900, -0.19737528, 0.09966799, 0.29131261]) ran Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = F.tanhshrink(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.02005100, -0.00262472, 0.00033201, 0.00868741]) a; Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.abs(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.40000001, 0.20000000, 0.10000000, 0.30000001]) rah Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = F.softplus(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.51301527, 0.59813893, 0.74439669, 0.85435522]) ral Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = F.softsign(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.28571430, -0.16666666, 0.09090909, 0.23076925]) Nctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Acos Activation Operator. .. math:: out = cos^{-1}(x) Args: x (Tensor): Input of Acos operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Acos operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.acos(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [1.98231316, 1.77215421, 1.47062886, 1.26610363]) xfloat16uint16float32float64 complex64 complex128acosdtypeXOuttypeinputsoutputs)r;) rrr;rrlocals"create_variable_for_type_inferencer= append_opr3namehelperouts ZG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\paddle/tensor/ops.pyr;r;z2{{1~    0vx077agg7Ffc1Xs|L ctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Acosh Activation Operator. .. math:: out = acosh(x) Args: x (Tensor): Input of Acosh operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Acosh operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([1., 3., 4., 5.]) >>> out = paddle.acosh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0. , 1.76274717, 2.06343699, 2.29243159]) r3r4acoshr<r>r?r@)rO) rrrOrrrDrEr=rFrGs rKrOrO z2||A    1177agg7FgsAh M rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Arcsine Operator. .. math:: out = sin^{-1}(x) Args: x (Tensor): Input of Asin operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Same shape and dtype as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.asin(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.41151685, -0.20135793, 0.10016742, 0.30469266]) r3r4asinr<r>r?r@)rR) rrrRrrrDrEr=rFrGs rKrRrR:rLrMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Asinh Activation Operator. .. math:: out = asinh(x) Args: x (Tensor): Input of Asinh operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Asinh operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.asinh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.39003533, -0.19869010, 0.09983408, 0.29567307]) r3r4asinhr<r>r?r@)rT) rrrTrrrDrEr=rFrGs rKrTrTirPrMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Arctangent Operator. .. math:: out = tan^{-1}(x) Args: x (Tensor): Input of Atan operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Same shape and dtype as input x. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.atan(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.38050640, -0.19739556, 0.09966865, 0.29145682]) r3r4atanr<r>r?r@)rV) rrrVrrrDrEr=rFrGs rKrVrVrLrMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Atanh Activation Operator. .. math:: out = atanh(x) Args: x (Tensor): Input of Atan operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Atanh operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.atanh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.42364895, -0.20273255, 0.10033534, 0.30951962]) r3r4atanhr<r>r?r@)rX) rrrXrrrDrEr=rFrGs rKrXrXrPrMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Ceil Operator. Computes ceil of x element-wise. .. math:: out = \left \lceil x \right \rceil Args: x (Tensor): Input of Ceil operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Ceil operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.ceil(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0., -0., 1. , 1. ]) r3r5r6r7r8ceilr<r>r?r@)r[) rrr[rrrDrEr=rFrGs rKr[r[st4{{1~ s? 0vx077agg7Ffc1Xs|L rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) aT Cosine Operator. Computes cosine of x element-wise. Input range is `(-inf, inf)` and output range is `[-1,1]`. .. math:: out = cos(x) Args: x (Tensor): Input of Cos operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Cos operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.cos(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.92106098, 0.98006660, 0.99500418, 0.95533651]) r3)r5r7r8r9r:cosr<r>r?r@)r]) rrr]rrrDrEr=rFrGs rKr]r]sv6zz!}  H   /fh/77agg7FeS!HuclK rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a_ Cosh Activation Operator. Input range `(-inf, inf)`, output range `(1, inf)`. .. math:: out = \frac{exp(x)+exp(-x)}{2} Args: x (Tensor): Input of Cosh operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Cosh operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.cosh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [1.08107233, 1.02006674, 1.00500417, 1.04533851]) r3r4coshr<r>r?r@)r_) rrr_rrrDrEr=rFrGs rKr_r_Fsz6{{1~    0vx077agg7Ffc1Xs|L rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) aJ Computes exp of x element-wise with a natural number `e` as the base. .. math:: out = e^x Args: x (Tensor): Input of Exp operator, an N-D Tensor, with data type int32, int64, float16, float32, float64, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Exp operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.exp(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.67032003, 0.81873077, 1.10517097, 1.34985888]) r3)int32int64r6r5r7r8r9r:expr<r>r?r@)rc) rrrcrrrDrEr=rFrGs rKrcrcwsz4zz!}    /fh/77agg7FeS!HuclK rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) ap Expm1 Operator. Computes expm1 of x element-wise with a natural number :math:`e` as the base. .. math:: out = e^x - 1 Args: x (Tensor): Input of Expm1 operator, an N-D Tensor, with data type int32, int64, float16, float32, float64, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Expm1 operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.expm1(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.32967997, -0.18126924, 0.10517092, 0.34985882]) r3)r5r6r7r8rarbr9r:expm1r<r>r?r@)re) rrrerrrDrEr=rFrGs rKreresz4||A    1177agg7FgsAh M rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Floor Activation Operator. Computes floor of x element-wise. .. math:: out = \lfloor x \rfloor Args: x (Tensor): Input of Floor operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Floor operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.floor(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-1., -1., 0., 0.]) r3rZfloorr<r>r?r@)rg) rrrgrrrDrEr=rFrGs rKrgrgst4||A s? 1177agg7FgsAh M rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a  Reciprocal Activation Operator. .. math:: out = \frac{1}{x} Args: x (Tensor): Input of Reciprocal operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Reciprocal operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.reciprocal(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-2.50000000, -5. , 10. , 3.33333325]) r3rZ reciprocalr<r>r?r@)ri) rrrirrrDrEr=rFrGs rKriris~4  ## s? 6VX677agg7FsAh    rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Round the values in the input to the nearest integer value. .. code-block:: text input: x.shape = [4] x.data = [1.2, -0.9, 3.4, 0.9] output: out.shape = [4] out.data = [1., -1., 3., 1.] Args: x (Tensor): Input of Round operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Round operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.5, -0.2, 0.6, 1.5]) >>> out = paddle.round(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-1., -0., 1., 2.]) r3rZroundr<r>r?r@)rk) rrrkrrrDrEr=rFrGs rKrkrk)suB||A s? 1177agg7FgsAh M rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) aK Rsqrt Activation Operator. Please make sure input is legal in case of numeric errors. .. math:: out = \frac{1}{\sqrt{x}} Args: x (Tensor): Input of Rsqrt operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Rsqrt operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([0.1, 0.2, 0.3, 0.4]) >>> out = paddle.rsqrt(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [3.16227770, 2.23606801, 1.82574177, 1.58113885]) r3rZrsqrtr<r>r?r@)rm) rrrmrrrDrEr=rFrGs rKrmrmVst6||A s? 1177agg7FgsAh M rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) aQ Sigmoid Activation. .. math:: out = \frac{1}{1 + e^{-x}} Args: x (Tensor): Input of Sigmoid operator, an N-D Tensor, with data type float16, float32, float64, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Sigmoid operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> import paddle.nn.functional as F >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = F.sigmoid(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.40131235, 0.45016602, 0.52497917, 0.57444251]) r3)r5r7r8r6r9r:sigmoidr<r>r?r@)ro) rrrorrrDrEr=rFrGs rKroro}s{4~~a      3&(377agg7Fia5#,O rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Sine Activation Operator. .. math:: out = sin(x) Args: x (Tensor): Input of Sin operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Sin operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.sin(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.38941833, -0.19866933, 0.09983342, 0.29552022]) r3r4sinr<r>r?r@)rq) rrrqrrrDrEr=rFrGs rKrqrqsz2zz!}    /fh/77agg7FeS!HuclK rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Sinh Activation Operator. .. math:: out = sinh(x) Args: x (Tensor): Input of Sinh operator, an N-D Tensor, with data type float32, float64, float16, complex64 or complex128. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Sinh operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.sinh(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.41075233, -0.20133601, 0.10016675, 0.30452031]) r3r4sinhr<r>r?r@)rs) rrrsrrrDrEr=rFrGs rKrsrsrLrMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a Sqrt Activation Operator. .. math:: out=\sqrt{x}=x^{1/2} Args: x (Tensor): Input of Sqrt operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Sqrt operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([0.1, 0.2, 0.3, 0.4]) >>> out = paddle.sqrt(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.31622776, 0.44721359, 0.54772258, 0.63245553]) r3rZsqrtr<r>r?r@)ru) rrrurrrDrEr=rFrGs rKruru sv2{{1~  7   0vx077agg7Ffc1Xs|L rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) a  Square each elements of the inputs. .. math:: out = x^2 Args: x (Tensor): Input of Square operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Square operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.square(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [0.16000001, 0.04000000, 0.01000000, 0.09000000]) r3)rarbr5r7r8r9r:squarer<r>r?r@)rw) rrrwrrrDrEr=rFrGs rKrwrw3s{2}}Q    2277agg7FhQx%N rMctrtj|St|dgddt dit }|j |j}|jdd|id|i|S) aj Tangent Operator. Computes tangent of x element-wise. Input range is `(k*pi-pi/2, k*pi+pi/2)` and output range is `(-inf, inf)`. .. math:: out = tan(x) Args: x (Tensor): Input of Tan operator, an N-D Tensor, with data type float32, float64 or float16. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Tan operator, a Tensor with shape same as input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.tan(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.42279324, -0.20271003, 0.10033467, 0.30933627]) r3r4tanr<r>r?r@)ry) rrryrrrDrEr=rFrGs rKryrycsz6zz!}    /fh/77agg7FeS!HuclK rMerfctrtj|Stj }i}|j D] \}}| |||<t di|S)N)rrrzrDcopyitems_erf_)r3rH locals_varkwargsvals rKrzrzs[zz!}J F%%' c ?F4L( ?6?rMag :strong:`Erf Operator` For more details, see `Error function `_. Equation: .. math:: out = \frac{2}{\sqrt{\pi}} \int_{0}^{x}e^{- \eta^{2}}d\eta Args: x (Tensor): The input tensor, it's data type should be float32, float64. name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor: The output of Erf, dtype: float32 or float64, the same as the input, shape: the same as the input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.erf(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.42839241, -0.22270259, 0.11246292, 0.32862678]) )N)3paddle.utils.inplace_utilsrrbase.data_feederr frameworkrrlayer_function_generatorr r r r __deprecated_func_name____activations_noattr____unary_func____inplace_unary_func____all__globalsset_OP_new_OP_funcfunc__name__ __module__r;rOrRrTrVrXr[r]r_rcrergrirkrmrorqrsrurwryrrz__doc__r|rMrKrs D7;  4  (0 ( 12C D  % &CG &&*3/ "3 'EGIcN ' ~ CG &&*3/ "3 'EGIcN  % &CG &&*3/ s #DDO ( .EGIcN ' If " Il " If   Im " Ie   Ij " Ij $,^,^,^,^,^,^#L'T.b/d/d#L%P*Z$N-`,^,^%P-`.b %   rM