Source code for aitemplate.frontend.nn.conv2d.conv2d_bias_few_channels

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"""
conv2d bias for few channels
"""

from aitemplate.frontend.nn.conv2d.special_conv2d_bias_act import SpecialConv2dBiasAct


[docs]class Conv2dBiasFewChannels(SpecialConv2dBiasAct): r"""Applies 2D convolution with bias for few channels. This layer equals to Conv2dBias but has improved performance for in_channels < 8. """ def __init__( self, in_channels, out_channels, kernel_size, stride, padding=0, dilation=1, auto_padding=True, dtype="float16", ): super().__init__( "conv2d_bias_few_channels", in_channels, out_channels, kernel_size, stride, padding, dilation, auto_padding, dtype, )