ϑipSSKJr SSKJr SSKJr SSKJr \(aSSKJr SS Sjjr g) ) annotations) TYPE_CHECKING)_C_ops)in_dynamic_or_pir_mode)TensorcT[5(a[R"UUUU5$g)a Apply Fast LayerNorm kernel. Args: x (Tensor): the input Tensor.. scale (Tensor): the weight Tensor to affine output. bias (Tensor): the bias Tensor to affine output. epsilon (float): a small float number to avoid divide 0. Returns: y: the Tensor after performing layernorm. mean: the mean of input tensor invvar: the invert variance(scaling factor) of y N)rrfast_ln)xscalebiasepsilons e/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/incubate/nn/functional/fast_ln.pyr r s/(~~       N)gh㈵>) r rr rr rr floatreturnztuple[Tensor, Tensor, Tensor]) __future__rtypingrpaddlerpaddle.frameworkrrr rrrsQ# 3         #  r