def __init__(self,
in_channels,
kernel_size,
stride=1,
padding=0,
out_padding=0,
dilation=1,
bias=True,
multiplier=1,
weight_init=Kaiming_Normal(),
bias_init=Zeros()):
"""
:param in_channels:
:param kernel_size:
:param stride:
:param padding:
:param dilation:
:param bias:
:param multiplier:
:param weight_init:
:param bias_init:
"""
super(DepthwiseConvTranspose3d,
self).__init__(in_channels, in_channels * multiplier,
_triple(kernel_size), _triple(stride),
_triple(padding),
_triple(dilation), in_channels, bias,
_triple(out_padding), weight_init, bias_init)
def __init__(self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
out_padding=0,
dilation=1,
groups=1,
bias=True,
weight_init=Kaiming_Normal(),
bias_init=Zeros()):
"""
:param in_channels:
:param out_channels:
:param kernel_size:
:param stride:
:param padding:
:param dilation:
:param groups:
:param bias:
:param weight_init:
:param bias_init:
"""
super(ConvTranspose3d,
self).__init__(in_channels, out_channels, _triple(kernel_size),
_triple(stride), _triple(padding),
_triple(dilation), groups, bias,
_triple(out_padding), weight_init, bias_init)