def test_pooling_layer(self):
maxpool = layer.img_pool(input=conv,
pool_size=2,
num_channels=16,
padding=1,
pool_type=pooling.Max())
spp = layer.spp(input=conv,
pyramid_height=2,
num_channels=16,
pool_type=pooling.Max())
maxout = layer.maxout(input=conv, num_channels=16, groups=4)
print layer.parse_network(maxpool, spp, maxout)
def test_pooling_layer(self):
maxpool = layer.img_pool(
input=conv,
pool_size=2,
num_channels=16,
padding=1,
pool_type=pooling.Max())
spp = layer.spp(input=conv,
pyramid_height=2,
num_channels=16,
pool_type=pooling.Max())
maxout = layer.maxout(input=conv, num_channels=16, groups=4)
print layer.parse_network([maxpool, spp, maxout])