parameter.py 文件源码

def _valid_input(self, value, dtype=None):
        if not misc.is_valid_param_value(value):
            msg = 'The value must be either a tensorflow variable, an array or a scalar.'
            raise ValueError(msg)
        cast = not (dtype is None)
        is_built = False
        shape = None
        if hasattr(self, '_value'): # The parameter has not initialized yet.
            is_built = self.is_built_coherence() == Build.YES
            shape = self.shape
            inner_dtype = self.dtype
            if dtype is not None and inner_dtype != dtype:
                msg = 'Overriding parameter\'s type "{0}" with "{1}" is not possible.'
                raise ValueError(msg.format(inner_dtype, dtype))
            elif isinstance(value, np.ndarray) and inner_dtype != value.dtype:
                msg = 'The value has different data type "{0}". Parameter type is "{1}".'
                raise ValueError(msg.format(value.dtype, inner_dtype))
            cast = False
            dtype = inner_dtype
        if misc.is_number(value):
            value_type = np.result_type(value).type
            num_type = misc.normalize_num_type(value_type)
            dtype = num_type if dtype is None else dtype
            value = np.array(value, dtype=dtype)
        elif misc.is_list(value):
            dtype = settings.float_type if dtype is None else dtype
            value = np.array(value, dtype=dtype)
        elif cast:
            value = value.astype(dtype)
        if shape is not None and self.fixed_shape and is_built and shape != value.shape:
            msg = 'Value has different shape. Parameter shape {0}, value shape {1}.'
            raise ValueError(msg.format(shape, value.shape))
        return value