(cfg, batch_norm=False)

(self, num_classes=1000, aux_logits=True, transform_input=False)

(path)

(self, logdir, name='log')

(self, block, planes, blocks, stride=1)

(self, name, bits, sf=None, overflow_rate=0.0, counter=10)

(self, block, layers, num_classes=1000)

(input, overflow_rate)

(in_planes, out_planes, stride=1)

(input, sf, bits)

(cfg, batch_norm=False)

(self)

(self, inplanes, squeeze_planes, expand1x1_planes, expand3x3_planes)

(self)

(cuda=True, model_root=None)

(n_channel, pretrained=None)

(batch_size, data_root='/tmp/public_dataset/pytorch', train=False, val=True, **kwargs)

(batch_size, data_root='/mnt/local0/public_dataset/pytorch/', train=True, val=True, **kwargs)

(input, sf, bits)

()

(cfg, batch_norm=False)

(cfg, batch_norm=False)

(input, bits)

(self, model)

(self, name, bits, sf=None, overflow_rate=0.0, counter=10)

(self, name, bits, quant_func)

(self, input_dims, n_hiddens, n_class)

(self, num_classes=1000)

(self, version=1.0, num_classes=1000)

(self, root, batch_size, train=False, input_size=224, **kwargs)

(self, features, num_classes=1000)

(self, in_channels, pool_features)

(self, in_channels)

(self, in_channels, channels_7x7)

(self, in_channels)

(self, in_channels)

(self, in_channels, num_classes)

(self, in_channels, out_channels, **kwargs)

(self, inplanes, planes, stride=1, downsample=None)

(self, inplanes, planes, stride=1, downsample=None)

(self, features, n_channel, num_classes)

(self, features, n_channel, num_classes)

(self, features, n_channel, num_classes)

(self)

(self)

(self)

(self)

(self)

(self)

(pretrained=False, model_root=None, **kwargs)

(mem_bound=500, utility_bound=0, gpus=(0, 1, 2, 3, 4, 5, 6, 7), num_gpu=1, selected_gpus=None)

(cuda=True, model_root=None)

(cuda=True, model_root=None)

(n_channel, pretrained=None)

(self)

(self)

(self)

(obj, path)

(path, erase=False)

(model, ds, n_sample=None, ngpu=1, is_imagenet=False)

(self, input)

(self, input)

(self, input)

(self, input)

(self, input)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(batch_size, data_root='/tmp/public_dataset/pytorch', train=True, val=True, **kwargs)

(batch_size, data_root='/tmp/public_dataset/pytorch', train=True, val=True, **kwargs)

(batch_size, data_root='/tmp/public_dataset/pytorch', train=True, val=True, **kwargs)

(batch_size, data_root='/tmp/public_dataset/pytorch', train=True, val=True, **kwargs)

(img)

(cuda=True, model_root=None)

(pretrained=False, model_root=None, **kwargs)

(self, str_info)

(lmdb_file, n_records=None)

(path)

(model, model_urls, model_root)

(input, bits)

(s)

(cuda=True, model_root=None)

(input_dims=784, n_hiddens=[256, 256], n_class=10, pretrained=None)

(model, new_file, old_file=None, verbose=False)