import torch
import torch.nn as nn

from functools import reduce
from torch.autograd import Variable

def load_places_resnet152(weight_file):
    model = OldResNet152()
    state_dict = torch.load(weight_file)
    model.load_state_dict(state_dict)
    return model

class LambdaBase(nn.Sequential):
    def __init__(self, fn, *args):
        super(LambdaBase, self).__init__(*args)
        self.lambda_func = fn

    def forward_prepare(self, input):
        output = []
        for module in self._modules.values():
            output.append(module(input))
        return output if output else input

class Lambda(LambdaBase):
    def forward(self, input):
        return self.lambda_func(self.forward_prepare(input))

class LambdaMap(LambdaBase):
    def forward(self, input):
        return list(map(self.lambda_func,self.forward_prepare(input)))

class LambdaReduce(LambdaBase):
    def forward(self, input):
        return reduce(self.lambda_func,self.forward_prepare(input))


class OldResNet152(nn.Sequential):
    def __init__(self):
        children = [
# resnet152_places365 = nn.Sequential( # Sequential,
            nn.Conv2d(3,64,(7, 7),(2, 2),(3, 3),1,1,bias=False),
            nn.BatchNorm2d(64),
            nn.ReLU(),
            nn.MaxPool2d((3, 3),(2, 2),(1, 1)),
            nn.Sequential( # Sequential,
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(64,64,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,64,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                        ),
                        nn.Sequential( # Sequential,
                            nn.Conv2d(64,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                        ),
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(256,64,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,64,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(256,64,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,64,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(64),
                            nn.ReLU(),
                            nn.Conv2d(64,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
            ),
            nn.Sequential( # Sequential,
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(256,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(2, 2),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        nn.Sequential( # Sequential,
                            nn.Conv2d(256,512,(1, 1),(2, 2),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,128,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,128,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(128),
                            nn.ReLU(),
                            nn.Conv2d(128,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
            ),
            nn.Sequential( # Sequential,
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(2, 2),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        nn.Sequential( # Sequential,
                            nn.Conv2d(512,1024,(1, 1),(2, 2),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,256,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,256,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(256),
                            nn.ReLU(),
                            nn.Conv2d(256,1024,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(1024),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
            ),
            nn.Sequential( # Sequential,
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,512,(3, 3),(2, 2),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,2048,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(2048),
                        ),
                        nn.Sequential( # Sequential,
                            nn.Conv2d(1024,2048,(1, 1),(2, 2),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(2048),
                        ),
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(2048,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,512,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,2048,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(2048),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
                nn.Sequential( # Sequential,
                    LambdaMap(lambda x: x, # ConcatTable,
                        nn.Sequential( # Sequential,
                            nn.Conv2d(2048,512,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,512,(3, 3),(1, 1),(1, 1),1,1,bias=False),
                            nn.BatchNorm2d(512),
                            nn.ReLU(),
                            nn.Conv2d(512,2048,(1, 1),(1, 1),(0, 0),1,1,bias=False),
                            nn.BatchNorm2d(2048),
                        ),
                        Lambda(lambda x: x), # Identity,
                    ),
                    LambdaReduce(lambda x,y: x+y), # CAddTable,
                    nn.ReLU(),
                ),
            ),
            nn.AvgPool2d((7, 7),(1, 1)),
            Lambda(lambda x: x.view(x.size(0),-1)), # View,
            nn.Sequential(Lambda(lambda x: x.view(1,-1) if 1==len(x.size()) else x )
                    ,nn.Linear(2048,365)), # Linear,
        ]

        super(OldResNet152, self).__init__(*children)