class_docstr: ResNeXt initial block with `in_planes` input planes
class_docstr_tok: ["ResNeXt","initial","block","with","`","in_planes","`","input","planes"]
code: def __init__(self, init_planes):
      super().__init__()
      self._module = nn.Sequential(
          nn.Conv2d(
              3,
              init_planes,
              kernel_size=7,
              stride=2,
              padding=3,
              bias=False,
          ),
          nn.BatchNorm2d(init_planes),
          nn.ReLU(inplace=INPLACE),
          nn.MaxPool2d(kernel_size=3, stride=2, padding=1),
      )
  
imports: import copy
  import math
  import re
  import warnings
  from collections import OrderedDict
  from typing import Any, Dict, Optional, Sequence
  import torch.nn
  from classy_vision.generic.util import is_pos_int, is_pos_int_tuple
  from .None import register_model
  from .classy_model import ClassyModel
  from .squeeze_and_excitation_layer import SqueezeAndExcitationLayer
label_desc: Use image node_id 1 to create a new InitialBlock object from inherited base classes: nn with example: obj = InitialBlock(init_planes)