class_docstr: SpatialPath module of BiseNetV1 model
  
  Args:
      in_channels (int): The number of input channels in spatial path module.
      out_channels (int): The number of output channels in spatial path module.
class_docstr_tok: ["SpatialPath","module","of","BiseNetV1","model","Args",":","in_channels","(","int",")",":","The","number","of","input","channels","in","spatial","path","module",".","out_channels","(","int",")",":","The","number","of","output","channels","in","spatial","path","module","."]
code: def __init__(self, in_channels, out_channels, inner_channel=64):
      super().__init__()
      self.conv_7x7 = layers.ConvBNReLU(
          in_channels,
          inner_channel,
          7,
          stride=2,
          padding=3,
          bias_attr=False,
      )
      self.conv_3x3_1 = layers.ConvBNReLU(
          inner_channel,
          inner_channel,
          3,
          stride=2,
          padding=1,
          bias_attr=False,
      )
      self.conv_3x3_2 = layers.ConvBNReLU(
          inner_channel,
          inner_channel,
          3,
          stride=2,
          padding=1,
          bias_attr=False,
      )
      self.conv_1x1 = layers.ConvBNReLU(
          inner_channel, out_channels, 1, bias_attr=False
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new SpatialPath object from inherited base classes: nn with example: obj = SpatialPath(in_channels, out_channels, inner_channel)