22f37f9aa646e48ce0066da985e29837be9b72cb,tensorpack/graph_builder/utils.py,GradientPacker,compute_strategy,#GradientPacker#Any#,389

Before Change

            bool - False if grads cannot be packed due to various reasons.
        
        for g in grads:
            assert g.shape.is_fully_defined(), "Shape of {} is {}!".format(g.name, g.shape)

        self._shapes = [g.shape for g in grads]
        self._sizes = [g.shape.num_elements() for g in grads]
        self._total_size = sum(self._sizes)

After Change

            bool - False if grads cannot be packed due to various reasons.
        
        for g in grads:
            if not g.shape.is_fully_defined():
                logger.warn("Found gradient with incomplete shape: "
                            "{} has shape {}".format(g.name, g.shape))
                return False

        self._shapes = [g.shape for g in grads]
        self._sizes = [g.shape.num_elements() for g in grads]
        self._total_size = sum(self._sizes)
        if self._total_size / self._num_split < 1024:

Instances