ёiX.SSKJr SSKJr SSKJrJrJrJrJ r J r J r J r J r JrJrJrJrJrJrJrJr SSKJr SSKJr SSKJr SSKJrJr S S KJ r J!r! \(aSS K"J#r# /S Qr$/r%\!"S 5\&"5S'\'"\$5H$r(\ "\(5r)\*\)l+\"\)5r,\,\&"5\('M& SSSjjr-SSSjjr.SSSjjr/\SSj5r0SSSjjr1SSSjjr2SSSjjr3g)) 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_scaleNc[5(a[R"U5$[US/SQS5 [ S0[ 5D6nUR URS9nURSSU0SU0S9 U$) aG 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]) x float16uint16float32float64uint8int8int16int32int64 complex64 complex128asinhdtypeXOuttypeinputsoutputs)rF) rrrFrrlocals"create_variable_for_type_inferencerH append_opr9namehelperouts Q/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/tensor/ops.pyrFrFZs}6||A   ! $1177agg7FgsAh M c[5(a[R"U5$[US/SQS5 [ S0[ 5D6nUR URS9nURSSU0SU0S9 U$) 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, 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]) r9r:atanrGrIrJrK)rY) rrrYrrrOrPrHrQrRs rVrYrYs}6{{1~   ! $0vx077agg7Ffc1Xs|L rWc[5(a[R"U5$[US/SQS5 [ S0[ 5D6nUR URS9nURSSU0SU0S9 U$) aG Reciprocal Activation Operator. .. math:: out = \frac{1}{x} Args: x (Tensor): Input of Reciprocal operator, an N-D Tensor, with data type float32, float64, float16, bfloat16, uint8, int8, int16, int32, int64. name (str|None, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. Output of Reciprocal operator, a Tensor with shape same as input (integer types are autocasted into float32). Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.reciprocal(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-2.50000000, -5. , 10. , 3.33333325]) r9) r;r<r=r>r?r@rArBrC reciprocalrGrIrJrK)r[) rrr[rrrOrPrHrQrRs rVr[r[s8  ##    6VX677agg7FsAh    rWc.[R"X5$)z Inplace version of ``round`` API, the output Tensor will be inplaced with input ``x``. Please refer to :ref:`api_paddle_round`. )rround_)r9decimalsrSs rVr]r]s == %%rWc[5(a[R"U5$[US/SQS5 [ S0[ 5D6nUR URS9nURSSU0SU0S9 U$) 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 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]) r9)rBrCr;r=r>rDrEsquarerGrIrJrK)r`) rrr`rrrOrPrHrQrRs rVr`r`s~2}}Q    2277agg7FhQx%N rWc[5(a[R"U5$[US/SQS5 [ S0[ 5D6nUR URS9nURSSU0SU0S9 U$) 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]) r9r:tanrGrIrJrK)rb) rrrbrrrOrPrHrQrRs rVrbrb6s}:zz!}   ! $/fh/77agg7FeS!HuclK rWc[5(a[R"U5$[5R 5n0nUR 5HupUcM XCU'M [ S5"S0UD6$)a The error function. For more details, see `Error function `_. Equation: .. math:: out = \frac{2}{\sqrt{\pi}} \int_{0}^{x}e^{- \eta^{2}}d\eta Args: x (Tensor): The input tensor, it's data type should be float32, float64, uint8, int8, int16, int32, int64. name (str|None, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. Returns: Tensor. The output of Erf, dtype: float32 or float64 (integer types are autocasted into float32), shape: the same as the input. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3]) >>> out = paddle.erf(x) >>> print(out) Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, [-0.42839241, -0.22270259, 0.11246292, 0.32862678]) erf)rrrdrOcopyitemsr)r9rS locals_varkwargsvals rVrdrdnsc8zz!}J F%%'  ?4L( U # -f --rW)N)r9rrSz str | Nonereturnr)rN)4 __future__rtypingr paddle._C_opsrrrrr r r r r rrrrrrrrpaddle.utils.inplace_utilsrrbase.data_feederr frameworkrrlayer_function_generatorrrpaddler__inplace_unary_func____all__globalsset_OPfunc__name__ __module___funcrFrYr[r]r`rbrdrerWrVr~s# &D7; 2  (0 ( % &C s #DDO ( .EGIcN '3l3l4n&&-`5p$.rW