Method _add_ops

caffe2/python/layers/fc_with_bootstrap.py:263–288

Args: params: the weight and bias, passed by either add_ops or add_train_ops function features: feature blobs to predict on. Can be the actual cur_layer or the bootstrapped_feature blobs. version: currently fp32 support only

(self, net, features, iteration, params, version)

            raise Exception("unsupported FC type version {}".format(version))

    def _add_ops(self, net, features, iteration, params, version):
        """
        Args:
            params: the weight and bias, passed by either add_ops or
            add_train_ops function

            features: feature blobs to predict on. Can be the actual cur_layer
            or the bootstrapped_feature blobs.

            version: currently fp32 support only
        """

        if self.clip_args is not None:
            clipped_params = [net.NextScopedBlob("clipped_%s" % str(p)) for p in params]
            for p, cp in zip(params, clipped_params):
                net.Clip([p], [cp], **self.clip_args)
            params = clipped_params

        if self.output_dim_vec is None or len(self.output_dim_vec) == 1:
            self._insert_fc_ops(
                net=net,
                features=features,
                params=params,
                outputs=[self.output_schema.field_blobs()[(iteration * 2) + 1]],
                version=version,
            )

    def add_ops(self, net):
        """