code: def test_default_params_dtype(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          # check if all params are still in float32 when dtype of computation is half-precision
          model = model_class(config, dtype=jnp.float16)
          types = jax.tree_util.tree_map(
              lambda x: x.dtype, model.params
          )
          types = flatten_dict(types)
  
          for name, type_ in types.items():
              self.assertEquals(
                  type_,
                  jnp.float32,
                  msg=f"param {name} is not initialized in fp32.",
              )
  
imports: import copy
  import inspect
  import json
  import random
  import tempfile
  from typing import List, Tuple
  import numpy
  import transformers
  from transformers import is_flax_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import CaptureLogger, is_pt_flax_cross_test, require_flax, torch_device
  from transformers.utils import CONFIG_NAME, GENERATION_CONFIG_NAME, logging
  from transformers.utils.generic import ModelOutput
label_desc: Use image node_id 19 for calling the FlaxModelTesterMixin obj's underlying member method code with example usage: obj.test_default_params_dtype() without return types