def test_tf_keras_const_warm_start(tf2: bool) -> None: config = conf.load_config( conf.official_examples_path("cifar10_cnn_tf_keras/const.yaml")) config["checkpoint_storage"] = exp.shared_fs_checkpoint_config() config.setdefault("bind_mounts", []).append(exp.root_user_home_bind_mount()) config = conf.set_max_steps(config, 2) config = conf.set_tf2_image(config) if tf2 else conf.set_tf1_image(config) experiment_id1 = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("cifar10_cnn_tf_keras"), 1) trials = exp.experiment_trials(experiment_id1) assert len(trials) == 1 first_trial = trials[0] first_trial_id = first_trial["id"] assert len(first_trial["steps"]) == 2 first_checkpoint_id = first_trial["steps"][1]["checkpoint"]["id"] # Add a source trial ID to warm start from. config["searcher"]["source_trial_id"] = first_trial_id experiment_id2 = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("cifar10_cnn_tf_keras"), 1) # The new trials should have a warm start checkpoint ID. trials = exp.experiment_trials(experiment_id2) assert len(trials) == 1 for trial in trials: assert trial["warm_start_checkpoint_id"] == first_checkpoint_id
def test_tensorpack_const() -> None: config = conf.load_config( conf.official_examples_path("mnist_tp/const.yaml")) config["checkpoint_storage"] = exp.shared_fs_checkpoint_config() config.get("bind_mounts", []).append(exp.root_user_home_bind_mount()) experiment_id = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("mnist_tp"), 1) trials = exp.experiment_trials(experiment_id) assert len(trials) == 1
def test_tf_keras_single_gpu(tf2: bool) -> None: config = conf.load_config( conf.official_examples_path("cifar10_cnn_tf_keras/const.yaml")) config["checkpoint_storage"] = exp.shared_fs_checkpoint_config() config.get("bind_mounts", []).append(exp.root_user_home_bind_mount()) config = conf.set_slots_per_trial(config, 1) config = conf.set_max_steps(config, 2) config = conf.set_tf2_image(config) if tf2 else conf.set_tf1_image(config) experiment_id = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("cifar10_cnn_tf_keras"), 1) trials = exp.experiment_trials(experiment_id) assert len(trials) == 1
def test_tf_keras_mnist_parallel() -> None: config = conf.load_config( conf.official_examples_path("fashion_mnist_tf_keras/const.yaml")) config["checkpoint_storage"] = exp.shared_fs_checkpoint_config() config.get("bind_mounts", []).append(exp.root_user_home_bind_mount()) config = conf.set_slots_per_trial(config, 8) config = conf.set_native_parallel(config, False) config = conf.set_max_steps(config, 2) experiment_id = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("fashion_mnist_tf_keras"), 1) trials = exp.experiment_trials(experiment_id) assert len(trials) == 1
def test_tensorpack_parallel(aggregation_frequency: int) -> None: config = conf.load_config( conf.official_examples_path("mnist_tp/const.yaml")) config["checkpoint_storage"] = exp.shared_fs_checkpoint_config() config.get("bind_mounts", []).append(exp.root_user_home_bind_mount()) config = conf.set_slots_per_trial(config, 8) config = conf.set_native_parallel(config, False) config = conf.set_max_steps(config, 2) config = conf.set_aggregation_frequency(config, aggregation_frequency) experiment_id = exp.run_basic_test_with_temp_config( config, conf.official_examples_path("mnist_tp"), 1) trials = exp.experiment_trials(experiment_id) assert len(trials) == 1