e85e31cfbd43e88184ed08cb977e2acaf5752d86,spacy/_ml.py,PrecomputableAffine,_backprop_padding,#PrecomputableAffine#Any#Any#,151

Before Change

    def _backprop_padding(self, dY, ids):
        // (1, nF, nO, nP) += (nN, nF, nO, nP) where IDs (nN, nF) < 0
        d_feats = dY[ids]
        ids = ids.reshape((ids.shape[0], ids.shape[1], 1, 1))
        d_feats *= ids < 0
        self.d_pad += d_feats.sum(axis=0, keepdims=True)
        return dY, ids

    @staticmethod
    def init_weights(model):

After Change

    def _backprop_padding(self, dY, ids):
        // (1, nF, nO, nP) += (nN, nF, nO, nP) where IDs (nN, nF) < 0
        for i in range(ids.shape[0]):
            for j in range(ids.shape[1]):
                if ids[i,j] < 0:
                    self.d_pad[0,j] += dY[i, j]
        return dY, ids

    @staticmethod
    def init_weights(model):

Instances