code: def tr_to_tensor(factors):
      full_shape = [f.shape[1] for f in factors]
      full_tensor = ivy.reshape(factors[0], (-1, factors[0].shape[2]))
  
      for factor in factors[1:-1]:
          rank_prev, _, rank_next = factor.shape
          factor = ivy.reshape(factor, (rank_prev, -1))
          full_tensor = ivy.dot(full_tensor, factor)
          full_tensor = ivy.reshape(full_tensor, (-1, rank_next))
  
      full_tensor = ivy.reshape(
          full_tensor, (factors[-1].shape[2], -1, factors[-1].shape[0])
      )
      full_tensor = ivy.moveaxis(full_tensor, 0, -1)
      full_tensor = ivy.reshape(
          full_tensor, (-1, factors[-1].shape[0] * factors[-1].shape[2])
      )
      factor = ivy.moveaxis(factors[-1], -1, 1)
      factor = ivy.reshape(factor, (-1, full_shape[-1]))
      full_tensor = ivy.dot(full_tensor, factor)
      return ivy.reshape(full_tensor, full_shape)
  
imports: from .base import FactorizedTensor
  import ivy
  import warnings
label_desc: Use image node_id 12 for calling the TRTensor obj's underlying member method code with example usage: obj.tr_to_tensor(factors) and returns: ivy