|jX.ddlmZddlmZddlmZmZmZmZm Z m Z m Z m Z m Z mZmZmZmZmZmZmZmZddlmZddlmZddlmZddlmZmZd d lm Z m!Z!erdd l"m#Z#gd Z$gZ%e!d e&d<e'e$D],Z(e e(Z)e*e)_+ee)Z,e,e&e(<-dddZ-dddZ.dddZ/eddZ0dddZ1dddZ2dddZ3dS)) annotations) TYPE_CHECKING)absacosacoshasinatanhceilcoscoshexpexpm1floorroundrsqrtsigmoidsinsinhsqrt)inplace_apis_in_dygraph_only)_C_ops)check_variable_and_dtype) LayerHelperin_dynamic_or_pir_mode)generate_inplace_fngenerate_layer_fn)Tensor)exp_sqrt_rsqrt_ceil_floor_ reciprocal_sigmoid_abs_sin_sinh_asin_asinh_cos_cosh_acos_acosh_tan_atan_atanh_expm1_erf_square_scale_scaleNxrname str | Nonereturnctrtj|St|dgddt d it }||j}|dd|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, bfloat16, uint8, int8, int16, int32, int64, complex64 or complex128. name (str|None, 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 (integer types are autocasted into float32). 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]) r8 float16uint16float32float64uint8int8int16int32int64 complex64 complex128asinhdtypeXOuttypeinputsoutputsN)rI) rrrIrrlocals"create_variable_for_type_inferencerK append_opr8r9helperouts a/lsinfo/ai/hellotax_ai/data_center/backend/venv/lib/python3.11/site-packages/paddle/tensor/ops.pyrIrIZs6|A     !   $111177ag7FFgsAh MMM ctrtj|St|dgddt d it }||j}|dd|id|i|S) ar Arctangent Operator. .. math:: out = tan^{-1}(x) Args: x (Tensor): Input of Atan operator, an N-D Tensor, with data type float32, float64, float16, bfloat16, uint8, int8, int16, int32, int64, complex64 or complex128. name (str|None, 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 (integer types are autocasted into float32). 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]) r8r=atanrJrLrMrNN)r[) rrr[rrrRrSrKrTrUs rXr[r[s6{1~~     !   $00vxx0077ag7FFfc1Xs|LLL rYctrtj|St|dgddt d it }||j}|dd|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, float16, bfloat16, uint8, int8, int16, int32, int64. name (str|None, 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 (integer types are autocasted into float32). 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]) r8) r>r?r@rArBrCrDrErF reciprocalrJrLrMrNN)r]) rrr]rrrRrSrKrTrUs rXr]r]s8 ###        66VXX6677ag7FFsAh      rYc,tj||S)z Inplace version of ``round`` API, the output Tensor will be inplaced with input ``x``. Please refer to :ref:`api_paddle_round`. )rround_)r8decimalsr9s rXr_r_s =H % %%rYctrtj|St|dgddt d it }||j}|dd|id|i|S) a4 Square each elements of the inputs. .. math:: out = x^2 Args: x (Tensor): Input of Square operator, an N-D Tensor, with data type int32, int64, float32, float64, float16, complex64 or complex128. name (str|None, 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]) r8)rErFr>r@rArGrHsquarerJrLrMrNN)rb) rrrbrrrRrSrKrTrUs rXrbrbs2}Q      222277ag7FFhQx%NNN rYctrtj|St|dgddt d it }||j}|dd|id|i|S) a 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, float16, bfloat16, uint8, int8, int16, int32, int64, complex64 or complex128. name (str|None, 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 (integer types are autocasted into float32). 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]) r8r=tanrJrLrMrNN)rd) rrrdrrrRrSrKrTrUs rXrdrd6s:z!}}     !   $//fhh//77ag7FFeS!HuclKKK rYctrtj|St}i}|D] \}}||||< t ddi|S)a The error function. For more details, see `Error function `_. Equation: .. math:: out = \frac{2}{\sqrt{\pi}} \int_{0}^{x}e^{- \eta^{2}}d\eta Args: x (Tensor): The input tensor, it's data type should be float32, float64, uint8, int8, int16, int32, int64. name (str|None, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. The output of Erf, dtype: float32 or float64 (integer types are autocasted into float32), shape: the same as the input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.erf(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.42839241, -0.22270259, 0.11246292, 0.32862678]) Nerf)rrrfrRcopyitemsr)r8r9 locals_varkwargsvals rXrfrfns8z!}}J F%%'' c ?F4L # U # # - -f - --rY)N)r8rr9r:r;r)rN)4 __future__rtypingr paddle._C_opsrrrrr r r r r rrrrrrrrpaddle.utils.inplace_utilsrrbase.data_feederr frameworkrrlayer_function_generatorrrpaddler__inplace_unary_func____all__globalsset_OPfunc__name__ __module___funcrIr[r]r_rbrdrfrgrYrXrs#""""" &DCCCCC777777;;;;;;;; 2  ('00 ( 3% & &C  s # #DDO ( ( . .EGGIIcNN33333l33333l44444n&&&&-----`55555p$.$.$.$.$.$.$.rY