SSD300 VGG16 ERROR tvm.error.OpNotImplemented: Operator L2Normalization is not supported in frontend MXNet.

[yjcn]

I have trained a ssd model by using mxnet_ssd. I deployed the model,and the model works well in mxnet.And I want use the tvm(git clone from github and build with LLVM ). But there still is a error: tvm.error.OpNotImplemented: Operator L2Normalization is not supported in frontend MXNet.
I use this code to convert the model.

import mxnet as mx
from mxnet.io import DataBatch, DataDesc
import cv2
from collections import namedtuple
import numpy as np
import tvm
import nnvm

model_prefix='./model/deploy_ssd_vgg16_reduced_300'
epoch=240
#model_prefix='./model/deploy_ssd_mobilenet_v2_300'
#epoch=239
batch_size=1
data_shape=(300,300)
#ctx=mx.gpu(0)
shape_dict = {'data': (1, 3, *data_shape)}
load_symbol, args, auxs= mx.model.load_checkpoint(model_prefix, epoch)

target = tvm.target.create("llvm")

opt_level=3

nnvm_sym, nnvm_params = nnvm.frontend.from_mxnet(load_symbol, args, auxs)
with nnvm.compiler.build_config(opt_level=opt_level):
   graph, lib, params = nnvm.compiler.build(nnvm_sym, target, shape_dict, params=nnvm_params)
lib.export_library("./deploy_lib.so")
print('lib export succeefully')
with open("./deploy_graph.json", "w") as fo:
   fo.write(graph.json())
with open("./deploy_param.params", "wb") as fo:
   fo.write(nnvm.compiler.save_param_dict(params))

I knew someone met the same problembefore (issue 1223). And it looks like this problem has been fixed.But I still meet the error.
I also test the deploy_ssd_mobilenet_v2_300 model , It works well,and there is no error.
The tvm version is 0.6.dev, the nnvm version is 0.8.0

Does anyone know how to solve it?

[tqchen]

For this kind of community questions, please open a new thread on https://discuss.tvm.ai/