code: def get_kwargs(self, hparams=None):
      if hparams is None:
          hparams = self.get_hparams()
      encoder_output = tf.random.uniform(
          (BATCH_SIZE, INPUT_LENGTH, HIDDEN_SIZE)
      )
      encoder_decoder_attention_bias = tf.random.uniform(
          (BATCH_SIZE, 1, 1, INPUT_LENGTH)
      )
      decoder_self_attention_bias = tf.random.uniform(
          (BATCH_SIZE, 1, 1, TARGET_LENGTH)
      )
      kwargs = {
          "hparams": hparams,
          "encoder_output": encoder_output,
          "encoder_decoder_attention_bias": encoder_decoder_attention_bias,
          "decoder_self_attention_bias": decoder_self_attention_bias,
      }
      return kwargs
  
file_path: tensor2tensor/tensor2tensor/layers/transformer_glow_layers_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.layers import transformer_glow_layers_ops
  from tensor2tensor.models import transformer
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the TransformerFlowOpsTest obj's underlying member method code with example usage: obj.get_kwargs(hparams) and returns: kwargs