csp_resnext_50_32x4d

lucid.models.csp_resnext_50_32x4d(num_classes: int = 1000, split_ratio: float = 0.5, stem_channels: int = 64, **kwargs) → CSPNet

The csp_resnext_50_32x4d function constructs the CSPResNeXt-50 32x4d preset. This preset uses the default CSPNetConfig stage layout for the ResNeXt-style variant.

Total Parameters: 22,509,864

Function Signature

@register_model
def csp_resnext_50_32x4d(
    num_classes: int = 1000, split_ratio: float = 0.5, stem_channels: int = 64, **kwargs
) -> CSPNet

Parameters

  • num_classes (int, optional): Number of output classes for classification. Default is 1000.

  • split_ratio (float, optional): CSP split ratio. Default is 0.5.

  • stem_channels (int, optional): Stem output width. Default is 64.

  • kwargs (dict, optional): Additional keyword arguments forwarded to CSPNetConfig, excluding the preset stage_specs, stack_type, groups, base_width, and feature_channels fields.

Returns

  • CSPNet: A CSPNet model instance constructed from the CSPResNeXt-50 preset config.