src/transformers/models/data2vec/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.py/load_conv_layer
def load_conv_layer(full_name, value, feature_extractor, unused_weights):
    name = full_name.split("conv_layers.")[-1]
    items = name.split(".")
    layer_id = int(items[0])
    type_id = int(items[1])

    weight_type = name.split(".")[-1]
    if type_id == 0:
        layer_type = "conv"
    elif type_id == 2:
        layer_type = "layer_norm"
    else:
        unused_weights.append(full_name)
        return

    set_weights(full_name, feature_extractor, value, f"conv_layers.{layer_id}.{layer_type}.{weight_type}")