configs/structured_sparsity/lcs_p.yaml [21:34]:
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  topk: 1.0 # the target topk to reach after warmup phase
  random_topk: False # If true, will train with topk=1 during warmup and then use random topk values
  norm_kwargs:
    width_factors_list: null
  model_config:
    model_class: cpreresnet20
    model_kwargs:
      channel_selection_active: False
  regime_params:
    eval_width_factors: [1.0, 0.875, 0.75, 0.625, 0.50, 0.375, 0.25]
    width_factor_limits: [0.25, 1.0]
    width_factor_samples: 4

  eval_param_grid: [1.0, 0.875, 0.75, 0.625, 0.50, 0.375, 0.25] # Same as eval_width_factors
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configs/structured_sparsity/us.yaml [21:34]:
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  topk: 1.0 # the target topk to reach after warmup phase
  random_topk: False # If true, will train with topk=1 during warmup and then use random topk values
  norm_kwargs:
    width_factors_list: null
  model_config:
    model_class: cpreresnet20
    model_kwargs:
      channel_selection_active: False
  regime_params:
    eval_width_factors: [1.0, 0.875, 0.75, 0.625, 0.50, 0.375, 0.25]
    width_factor_limits: [0.25, 1.0]
    width_factor_samples: 4

  eval_param_grid: [1.0, 0.875, 0.75, 0.625, 0.50, 0.375, 0.25] # Same as eval_width_factors
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