Method _check_input_shape

tensorlayer/layers/normalization.py:265–268

(self, inputs)

        return params_shape

    def _check_input_shape(self, inputs):
        inputs_shape = _compute_shape(inputs)
        if len(inputs_shape) <= 1:
            raise ValueError('expected input at least 2D, but got {}D input'.format(inputs.ndim))

    def build(self, inputs_shape):
        params_shape = [self.num_features] if self.num_features is not None else self._get_param_shape(inputs_shape)