Source code for aitemplate.frontend.nn.group_norm

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"""
GroupNorm module
"""
from aitemplate.compiler import ops
from aitemplate.frontend.nn.module import Module
from aitemplate.frontend.nn.parameter import Parameter

# pylint: disable=C0103


[docs]class GroupNorm(Module): """GroupNorm nn module""" def __init__( self, num_groups, num_channels, eps=1e-5, affine=True, dtype="float16", use_swish=False, **kwargs, ): """Group Norm init""" super().__init__() self.eps = eps op_name = "group_norm_swish" if use_swish else "group_norm" self.weight = Parameter(shape=[num_channels], dtype=dtype) self.bias = Parameter(shape=[num_channels], dtype=dtype) self.op = getattr(ops, op_name)(num_groups, num_channels)
[docs] def forward(self, *args): assert len(args) == 1 x = args[0] y = self.op(x, self.weight.tensor(), self.bias.tensor(), self.eps) return y