src/accelerate/commands/config/cluster.py [169:195]:
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    dynamo_config = {}
    use_dynamo = _ask_field(
        "Do you wish to optimize your script with torch dynamo?[yes/NO]:",
        _convert_yes_no_to_bool,
        default=False,
        error_message="Please enter yes or no.",
    )
    if use_dynamo:
        prefix = "dynamo_"
        dynamo_config[prefix + "backend"] = _ask_options(
            "Which dynamo backend would you like to use?",
            [x.lower() for x in DYNAMO_BACKENDS],
            _convert_dynamo_backend,
            default=2,
        )
        use_custom_options = _ask_field(
            "Do you want to customize the defaults sent to torch.compile? [yes/NO]: ",
            _convert_yes_no_to_bool,
            default=False,
            error_message="Please enter yes or no.",
        )

        if use_custom_options:
            dynamo_config[prefix + "mode"] = _ask_options(
                "Which mode do you want to use?",
                TORCH_DYNAMO_MODES,
                lambda x: TORCH_DYNAMO_MODES[int(x)],
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src/accelerate/commands/config/sagemaker.py [174:200]:
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    dynamo_config = {}
    use_dynamo = _ask_field(
        "Do you wish to optimize your script with torch dynamo?[yes/NO]:",
        _convert_yes_no_to_bool,
        default=False,
        error_message="Please enter yes or no.",
    )
    if use_dynamo:
        prefix = "dynamo_"
        dynamo_config[prefix + "backend"] = _ask_options(
            "Which dynamo backend would you like to use?",
            [x.lower() for x in DYNAMO_BACKENDS],
            _convert_dynamo_backend,
            default=2,
        )
        use_custom_options = _ask_field(
            "Do you want to customize the defaults sent to torch.compile? [yes/NO]: ",
            _convert_yes_no_to_bool,
            default=False,
            error_message="Please enter yes or no.",
        )

        if use_custom_options:
            dynamo_config[prefix + "mode"] = _ask_options(
                "Which mode do you want to use?",
                TORCH_DYNAMO_MODES,
                lambda x: TORCH_DYNAMO_MODES[int(x)],
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