code: def derandomize_model(model):
      with Context(GRAPH=0):
          for p in get_parameters(model):
              p.lazydata = Tensor.empty(
                  p.shape, device=p.device, dtype=p.dtype
              ).lazydata
              p.realize()
  
imports: from tinygrad.device import JITRunner
  from tinygrad.nn.state import get_parameters
  from tinygrad import Tensor
  from tinygrad.helpers import Context
label_desc: Use image node_id 1 for calling a global function with example usage: derandomize_model(model) without return types