def __call__(self, x):
return deconvolution_nd.deconvolution_nd(x,
self.W,
b=self.b,
stride=self.stride,
pad=self.pad,
outsize=self.outsize)
def forward(self, x):
return deconvolution_nd.deconvolution_nd(x,
self.W,
b=self.b,
stride=self.stride,
pad=self.pad,
outsize=self.outsize,
dilate=self.dilate,
groups=self.groups)
def forward(self, x):
if self.W.array is None:
self._initialize_params(x.shape[1])
return deconvolution_nd.deconvolution_nd(x,
self.W,
b=self.b,
stride=self.stride,
pad=self.pad,
outsize=self.outsize,
dilate=self.dilate,
groups=self.groups)
def forward(self, x):
return deconvolution_nd.deconvolution_nd(
x, self.W, b=self.b, stride=self.stride, pad=self.pad,
outsize=self.outsize, dilate=self.dilate, groups=self.groups)
def forward(self, x):
if self.W.data is None:
self._initialize_params(x.shape[1])
return deconvolution_nd.deconvolution_nd(
x, self.W, b=self.b, stride=self.stride, pad=self.pad,
outsize=self.outsize, dilate=self.dilate, groups=self.groups)
def __call__(self, x):
return deconvolution_nd.deconvolution_nd(
x, self.W, b=self.b, stride=self.stride, pad=self.pad,
outsize=self.outsize)
