def normalize(self, obj):

        for cls in type(obj).__mro__:
            for override in self.normalizer_overrides[cls]:
                attempt = override(obj, self)
                if attempt is not NotImplemented:
                    return attempt

        attempt = normalizers.normalize_object(obj, self)
        if attempt is not NotImplemented:
            return attempt

        for cls in type(obj).__mro__:
            if cls in self.normalizers:
                attempt = self.normalizers[cls](obj, self)
                if attempt is not NotImplemented:
                    return attempt

        return NotImplemented
Standard gradient of a minibatch fo data.
dataset/ETHPy150Open teozkr/Flask-Pushrod/flask_pushrod/resolver.py/Pushrod.normalize--crossover with--dataset/ETHPy150Open UFAL-DSG/cloud-asr/cloudasr/worker/vad/tffnn.py/TheanoFFNN.sgrad_minibatch