def np_dtype(dtype):
    """Translates dtype specifications in configurations to numpy data types.
    Args:
        dtype: String describing a numerical type (e.g. 'float') or numerical type primitive.

    Returns: Numpy data type

    """
    if dtype == 'float' or dtype == float or dtype == np.float32 or dtype == tf.float32:
        return np.float32
    elif dtype == np.float64 or dtype == tf.float64:
        return np.float64
    elif dtype == np.float16 or dtype == tf.float16:
        return np.float16
    elif dtype == 'int' or dtype == int or dtype == np.int32 or dtype == tf.int32:
        return np.int32
    elif dtype == np.int64 or dtype == tf.int64:
        return np.int64
    elif dtype == np.int16 or dtype == tf.int16:
        return np.int16
    elif dtype == 'bool' or dtype == bool or dtype == np.bool_ or dtype == tf.bool:
        return np.bool_
    else:
        raise TensorForceError("Error: Type conversion from type {} not supported.".format(str(dtype)))
def np_dtype(dtype):
    """Translates dtype specifications in configurations to numpy data types.
    Args:
        dtype: String describing a numerical type (e.g. 'float') or numerical type primitive.

    Returns: Numpy data type

    """
    if dtype == 'float' or dtype == float or dtype == np.float32 or dtype == tf.float32:
        return np.float32
    elif dtype == np.float64 or dtype == tf.float64:
        return np.float64
    elif dtype == np.float16 or dtype == tf.float16:
        return np.float16
    elif dtype == 'int' or dtype == int or dtype == np.int32 or dtype == tf.int32:
        return np.int32
    elif dtype == np.int64 or dtype == tf.int64:
        return np.int64
    elif dtype == np.int16 or dtype == tf.int16:
        return np.int16
    elif dtype == 'bool' or dtype == bool or dtype == np.bool_ or dtype == tf.bool:
        return np.bool_
    else:
        raise TensorForceError("Error: Type conversion from type {} not supported.".format(str(dtype)))
def np_dtype ( dtype ) : if dtype == 'float' or dtype == float or dtype == np . float32 or dtype == tf . float32 : return np . float32 elif dtype == np . float64 or dtype == tf . float64 : return np . float64 elif dtype == np . float16 or dtype == tf . float16 : return np . float16 elif dtype == 'int' or dtype == int or dtype == np . int32 or dtype == tf . int32 : return np . int32 elif dtype == np . int64 or dtype == tf . int64 : return np . int64 elif dtype == np . int16 or dtype == tf . int16 : return np . int16 elif dtype == 'bool' or dtype == bool or dtype == np . bool_ or dtype == tf . bool : return np . bool_ else : raise TensorForceError ( "Error: Type conversion from type {} not supported." . format ( str ( dtype ) ) )
Translates dtype specifications in configurations to numpy data types.
    Args:
        dtype: String describing a numerical type (e.g. 'float') or numerical type primitive.

    Returns: Numpy data type
Translates dtype specifications in configurations to numpy data types . Args : dtype : String describing a numerical type ( e . g . float ) or numerical type primitive .