コード例 #1
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def test_pytorch_11_const(aggregation_frequency: int) -> None:
    config = conf.load_config(
        conf.fixtures_path("mnist_pytorch/const-pytorch11.yaml"))
    config = conf.set_aggregation_frequency(config, aggregation_frequency)

    exp.run_basic_test_with_temp_config(
        config, conf.official_examples_path("mnist_pytorch"), 1)
コード例 #2
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def test_tensorpack_parallel(aggregation_frequency: int) -> None:
    config = conf.load_config(
        conf.official_examples_path("mnist_tp/const.yaml"))
    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
コード例 #3
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def test_pytorch_const_parallel(aggregation_frequency: int,
                                use_amp: bool) -> None:
    config = conf.load_config(
        conf.official_examples_path("mnist_pytorch/const.yaml"))
    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)
    if use_amp:
        config = conf.set_amp_level(config, "O1")

    exp.run_basic_test_with_temp_config(
        config, conf.official_examples_path("mnist_pytorch"), 1)
コード例 #4
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def test_tf_keras_parallel(aggregation_frequency: int, tf2: bool) -> None:
    config = conf.load_config(
        conf.official_examples_path("cifar10_cnn_tf_keras/const.yaml"))
    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)
    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
コード例 #5
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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
コード例 #6
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def test_tf_keras_parallel(aggregation_frequency: int, 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, 8)
    config = conf.set_native_parallel(config, False)
    config = conf.set_max_steps(config, 2)
    config = conf.set_aggregation_frequency(config, aggregation_frequency)
    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