def __call__(self, x):
outs = []
if hasattr(self.f, 'conv1'):
h1 = self.f.conv1(x)
h1 = self.f.conv1n(h1)
h1 = relu.relu(h1)
outs.append(h1)
h3 = relu.relu(self.f.proj3n(self.f.proj3(x)))
h3 = relu.relu(self.f.conv3n(self.f.conv3(h3)))
outs.append(h3)
h33 = relu.relu(self.f.proj33n(self.f.proj33(x)))
h33 = relu.relu(self.f.conv33an(self.f.conv33a(h33)))
h33 = relu.relu(self.f.conv33bn(self.f.conv33b(h33)))
outs.append(h33)
p = self.f.pool(x)
if hasattr(self.f, 'poolp'):
p = relu.relu(self.f.poolpn(self.f.poolp(p)))
outs.append(p)
y = concat.concat(outs, axis=1)
return y
def __call__(self, x):
outs = []
if hasattr(self.f, "conv1"):
h1 = self.f.conv1(x)
h1 = self.f.conv1n(h1)
h1 = relu.relu(h1)
outs.append(h1)
h3 = relu.relu(self.f.proj3n(self.f.proj3(x)))
h3 = relu.relu(self.f.conv3n(self.f.conv3(h3)))
outs.append(h3)
h33 = relu.relu(self.f.proj33n(self.f.proj33(x)))
h33 = relu.relu(self.f.conv33an(self.f.conv33a(h33)))
h33 = relu.relu(self.f.conv33bn(self.f.conv33b(h33)))
outs.append(h33)
p = self.f.pool(x)
if hasattr(self.f, "poolp"):
p = relu.relu(self.f.poolpn(self.f.poolp(p)))
outs.append(p)
y = concat.concat(outs, axis=1)
return y
def __call__(self, x):
outs = []
if self.out1 > 0:
h1 = self.f.conv1(x)
h1 = self.f.conv1n(h1)
h1 = relu.relu(h1)
outs.append(h1)
h3 = relu.relu(self.f.proj3n(self.f.proj3(x)))
h3 = relu.relu(self.f.conv3n(self.f.conv3(h3)))
outs.append(h3)
h33 = relu.relu(self.f.proj33n(self.f.proj33(x)))
h33 = relu.relu(self.f.conv33an(self.f.conv33a(h33)))
h33 = relu.relu(self.f.conv33bn(self.f.conv33b(h33)))
outs.append(h33)
p = self.f.pool(x)
if self.proj_pool is not None:
p = relu.relu(self.f.poolpn(self.f.poolp(p)))
outs.append(p)
y = concat.concat(outs, axis=1)
return y
def __call__(self, x):
out1 = self.f.conv1(x)
out3 = self.f.conv3(relu.relu(self.f.proj3(x)))
out5 = self.f.conv5(relu.relu(self.f.proj5(x)))
pool = self.f.projp(pooling_2d.max_pooling_2d(x, 3, stride=1, pad=1))
y = relu.relu(concat.concat((out1, out3, out5, pool), axis=1))
return y
def forward(self, x):
f = self.f
self.x = variable.Variable(x[0])
outs = []
if hasattr(f, 'conv1'):
h1 = f.conv1(self.x)
h1 = f.conv1n(h1)
h1 = relu.relu(h1)
outs.append(h1)
h3 = relu.relu(f.proj3n(f.proj3(self.x)))
h3 = relu.relu(f.conv3n(f.conv3(h3)))
outs.append(h3)
h33 = relu.relu(f.proj33n(f.proj33(self.x)))
h33 = relu.relu(f.conv33an(f.conv33a(h33)))
h33 = relu.relu(f.conv33bn(f.conv33b(h33)))
outs.append(h33)
p = f.pool(self.x)
if hasattr(f, 'poolp'):
p = relu.relu(f.poolpn(f.poolp(p)))
outs.append(p)
self.y = concat.concat(outs, axis=1)
return self.y.data,
def __call__(self, x):
out1 = self.f.conv1(x)
out3 = self.f.conv3(relu.relu(self.f.proj3(x)))
out5 = self.f.conv5(relu.relu(self.f.proj5(x)))
pool = self.f.projp(pooling_2d.max_pooling_2d(
x, 3, stride=1, pad=1))
y = relu.relu(concat.concat((out1, out3, out5, pool), axis=1))
return y
def forward(self, x):
self.x = variable.Variable(x[0])
out1 = self.f.conv1(self.x)
out3 = self.f.conv3(relu.relu(self.f.proj3(self.x)))
out5 = self.f.conv5(relu.relu(self.f.proj5(self.x)))
pool = self.f.projp(
pooling_2d.max_pooling_2d(self.x, 3, stride=1, pad=1))
self.y = relu.relu(concat.concat((out1, out3, out5, pool), axis=1))
return self.y.data,
def forward(self, x):
self.x = variable.Variable(x[0])
out1 = self.f.conv1(self.x)
out3 = self.f.conv3(relu.relu(self.f.proj3(self.x)))
out5 = self.f.conv5(relu.relu(self.f.proj5(self.x)))
pool = self.f.projp(pooling_2d.max_pooling_2d(
self.x, 3, stride=1, pad=1))
self.y = relu.relu(concat.concat((out1, out3, out5, pool), axis=1))
return self.y.data,