e6ef08f367e0389e811d63eaa5afb16183a19e2b,src/sdk/pynni/nni/compression/tensorflow/compressor.py,PrunerLayerWrapper,call,#PrunerLayerWrapper#,202

Before Change

        for weight in self.layer.weights:
            mask = self.masks.get(weight.name)
            if mask is not None:
                new_weights.append(tf.math.multiply(weight, mask).numpy())
            else:
                new_weights.append(weight.numpy())
        self.layer.set_weights(new_weights)

After Change

                new_weights.append(weight)
        if new_weights and not hasattr(new_weights[0], "numpy"):
            raise RuntimeError("NNI: Compressed model can only run in eager mode")
        self.layer.set_weights([weight.numpy() for weight in new_weights])
        return self.layer(*inputs)

Instances