code: def test_all_hyperparameters(sagemaker_session):
      object2vec = Object2Vec(
          sagemaker_session=sagemaker_session,
          enc_dim=1024,
          mini_batch_size=100,
          early_stopping_patience=3,
          early_stopping_tolerance=0.001,
          dropout=0.1,
          weight_decay=0.001,
          bucket_width=0,
          num_classes=5,
          mlp_layers=3,
          mlp_dim=1024,
          mlp_activation="tanh",
          output_layer="softmax",
          optimizer="adam",
          learning_rate=0.0001,
          negative_sampling_rate=1,
          comparator_list="hadamard, abs_diff",
          tied_token_embedding_weight=True,
          token_embedding_storage_type="row_sparse",
          enc0_network="bilstm",
          enc1_network="hcnn",
          enc0_cnn_filter_width=3,
          enc1_cnn_filter_width=3,
          enc1_max_seq_len=300,
          enc0_token_embedding_dim=300,
          enc1_token_embedding_dim=300,
          enc1_vocab_size=300,
          enc0_layers=3,
          enc1_layers=3,
          enc0_freeze_pretrained_embedding=True,
          enc1_freeze_pretrained_embedding=False,
          **ALL_REQ_ARGS,
      )
  
      hp = object2vec.hyperparameters()
      assert hp["epochs"] == str(EPOCHS)
      assert hp["mlp_activation"] == "tanh"
  
imports: from __future__ import absolute_import
  import pytest
  from mock import Mock, patch
  from sagemaker import image_uris
  from sagemaker.amazon.object2vec import Object2Vec
  from sagemaker.predictor import Predictor
  from sagemaker.amazon.amazon_estimator import RecordSet
  from sagemaker.session_settings import SessionSettings
label_desc: Use image node_id 4 for calling a global function with example usage: test_all_hyperparameters(sagemaker_session) without return types