10d7ece1c34c5533262a54d20d974a3d04f0b7ce,src/sdk/pynni/nni/compression/tensorflow/compressor.py,,_instrument_model,#Any#Any#,289

Before Change

def _instrument_model(model, wrappers):
    // Replace layers to wrappers
    for wrapper in reversed(wrappers):
        cur = model
        for key in wrapper.layer_info.path[:-1]:
            if isinstance(key, str):
                cur = getattr(cur, key)
            else:
                name, index = key
                cur = getattr(cur, name)[index]
        key = wrapper.layer_info.path[-1]
        if isinstance(key, str):
            setattr(cur, key, wrapper)
        else:
            name, index = key
            getattr(cur, name)[index] = wrapper
            //if isinstance(cur, tf.keras.Sequential):
            //    cur._graph_initialized = False
            //    cur._layer_call_argspecs[wrapper] = cur._layer_call_argspecs[wrapper.layer]

After Change

    def _instrument_model(self, model):
        for key, value in list(model.__dict__.items()):  // avoid "dictionary keys changed during iteration"
            if isinstance(value, tf.keras.layers.Layer):
                new_layer = self._instrument(value)
                if new_layer is not value:
                    setattr(model, key, new_layer)
            elif isinstance(value, list):
                for i, item in enumerate(value):
                    if isinstance(item, tf.keras.layers.Layer):
                        value[i] = self._instrument(item)
        return model


    def _select_config(self, layer):

Instances