Python theano.__version__方法代碼示例

# 需要導入模塊: import theano [as 別名]
# 或者: from theano import __version__ [as 別名]
def _show_system_info(self):
        import theano
        print("Theano version %s" % theano.__version__)
        theano_dir = os.path.dirname(theano.__file__)
        print("theano is installed in %s" % theano_dir)

        super(TheanoNoseTester, self)._show_system_info() 

# 需要導入模塊: import theano [as 別名]
# 或者: from theano import __version__ [as 別名]
def log_keras_version_info():
    import keras
    logger.info("Keras version: " + keras.__version__)
    from keras import backend as K
    try:
        backend = K.backend()
    except AttributeError:
        backend = K._BACKEND  # pylint: disable=protected-access
    if backend == 'theano':
        import theano
        logger.info("Theano version: " + theano.__version__)
        logger.warning("Using Keras' theano backend is not supported! Expect to crash...")
    elif backend == 'tensorflow':
        import tensorflow
        logger.info("Tensorflow version: " + tensorflow.__version__)  # pylint: disable=no-member 

# 需要導入模塊: import theano [as 別名]
# 或者: from theano import __version__ [as 別名]
def print_model_settings(locals_var, path=None, sys_arg=False):
    """
    Prints all variables in upper case in locals_var,
    except for T which usually stands for theano.tensor.
    If locals() passed as input to this method, will print
    all the variables in upper case defined so far, that is
    model settings.

    With `path` as an address to a directory it will _append_ it
    as a file named `model_settings.txt` as well.

    With `sys_arg` set to True, log information about Python, Numpy,
    and Theano and passed arguments to the script will be added too.
    args.pkl would be overwritten, specially in case of resuming a job.
    But again that wouldn't be much of a problem as all the passed args
    to the script except for '--resume' should be the same.

    With both `path` and `sys_arg` passed, dumps the theano.config.

    :usage:
        >>> import theano.tensor as T
        >>> import lib
        >>> BATCH_SIZE, DIM = 128, 512
        >>> DATA_PATH = '/Path/to/dataset'
        >>> lib.print_model_settings(locals(), path='./')
    """
    log = ""
    if sys_arg:
        try:
            log += "Python:\n"
            log += "\tsys.version_info\t{}\n".format(str(sys.version_info))
            log += "Numpy:\n"
            log += "\t.__version__\t{}\n".format(numpy.__version__)
            log += "Theano:\n"
            log += "\t.__version__\t{}\n".format(theano.__version__)
            log += "\n\nAll passed args:\n"
            log += str(sys.argv)
            log += "\n"
        except:
            print "Something went wrong during sys_arg logging. Continue anyway!"

    log += "\nModel settings:"
    all_vars = [(k,v) for (k,v) in locals_var.items() if (k.isupper() and k != 'T')]
    all_vars = sorted(all_vars, key=lambda x: x[0])
    for var_name, var_value in all_vars:
        log += ("\n\t%-20s %s" % (var_name, var_value))
    print log
    if path is not None:
        ensure_dir(path)
        # Don't override, just append if by mistake there is something in the file.
        with open(os.path.join(path, __model_setting_file_name), 'a+') as f:
            f.write(log)
        if sys_arg:
            with open(os.path.join(path, 'th_conf.txt'), 'a+') as f:
                f.write(str(theano.config))
            with open(os.path.join(path, 'args.pkl'), 'wb') as f:
                pickle.dump(sys.argv, f)
                # To load:
                # >>> import cPickle as pickle
                # >>> args = pickle.load(open(os.path.join(path, 'args.pkl'), 'rb'))