[Tutorial] Import errors in deploy_detection.py and deploy_classification.py

[fprotopapa]

I ran into import errors while following the VTA tutorial for 'Deploy Pretrained Vision Model from MxNet on VTA' under Ubuntu 18.04.5 LTS and Docker images created with Dockerfile.ci_cpu. Scripts launched from tvm base directory.

File: tvm/vta/tutorials/frontend/deploy_classification.py
In line 59 to 61:
import vta
from vta.testing import simulator
from vta.top import graph_pack

Import paths have changed and function call for graph_pack in line 181.

Changed to:

       import vta
       from vta.python.vta.testing import simulator
       from vta.python.vta.top import graphpack as graph_pack
       from vta.python import vta

and in line 181

        relay_prog = graph_pack.graph_pack(

Similiar issue in file tvm/vta/tutorials/frontend/legacy/deploy_detection.py

Line 58 to 64 and function call in line 222:

       from tvm import rpc, autotvm, relay
       from tvm.relay.testing import yolo_detection, darknet
       from tvm.relay.testing.darknet import __darknetffi__
       from tvm.contrib import graph_runtime, graph_runtime, util
       from tvm.contrib.download import download_testdata
       from vta.testing import simulator
       from vta.top import graph_pack

Changed to:

       from tvm import rpc, autotvm, relay
       from tvm.relay.testing import yolo_detection, darknet
       from tvm.relay.testing.darknet import __darknetffi__
       from tvm.contrib import graph_runtime, graph_runtime, utils
       from tvm.contrib.download import download_testdata
       from vta.python.vta.testing import simulator
       from vta.python.vta.top import graphpack as graph_pack
       from vta.python import vta

and

        mod = graph_pack.graph_pack(

Also layer id for stop layer 'cast' is 186 in line 126.

#7059

[tqchen]

Please open a new thread on https://discuss.tvm.apache.org/