code: def __init__(self):
      self.conv1 = Convolution2D(3, 64, 7, 2, 3)
      self.bn1 = BatchNormalization(64)
      self.res2 = Block(3, 64, 64, 256, 1)
      self.res3 = Block(4, 256, 128, 512)
      self.res4 = Block(6, 512, 256, 1024)
      self.res5 = Block(3, 1024, 512, 2048)
      self.fc = Linear(2048, 1000)
  
imports: import numpy
  import chainerx
label_desc: Use image node_id 1 to create a new ResNet50 object from inherited base classes: object with example: obj = ResNet50()