mbrookhart commented on issue #5928:
URL: https://github.com/apache/incubator-tvm/issues/5928#issuecomment-649870756
Those two PRs plus this change to the script fixes the issue for me:
```
import tvm
from tvm import relay
from tvm.relay.dataflow_pattern import *
import gluoncv as gcv # require pip install gluoncv
from tvm.relay.build_module import bind_params_by_name
def get_gcv_model(model_name):
"""Pull a Gluon CV model."""
import gluoncv as gcv
model_name = model_name.lower()
print('Pulling the model from Gluon CV model zoo...')
shape = (1, 3, 224, 224)
if model_name.find('inception') != -1:
shape = (1, 3, 299, 299)
elif model_name.find('yolo3') != -1:
shape = (1, 3, 320, 320)
elif model_name.startswith('ssd'):
tokens = re.search(r'ssd_(\d+)_', model_name)
size = int(tokens.group(1))
shape = (1, 3, size, size)
net = gcv.model_zoo.get_model(model_name, pretrained=True)
ret = relay.frontend.from_mxnet(net, shape={'data': shape})
return ret[0], ret[1], ('data', shape)
mod, params, data_shape = get_gcv_model('mobilenetv2_1.0')
mod["main"] = bind_params_by_name(mod["main"], params)
mod = relay.transform.EliminateCommonSubexpr()(mod)
bn_out = is_op('nn.batch_norm')(wildcard(), wildcard(), wildcard(),
wildcard(), wildcard())
pat = is_tuple_get_item(bn_out, 0)
print(pat.partition(mod['main']))
~
```
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