I want to test the function "CombineParallelConv2D", so I use the GoogLenet.
The below is my code.
import numpy as np
import tvm
from tvm import relay
from tvm.autotvm.graph_tuner import DPTuner
from tvm.contrib import graph_runtime
import torch
import torchvision
from torchvision import
In the **Limitations of PassUpDomain** section of [InferBound
Pass](https://tvm.apache.org/docs/arch/inferbound.html), I ran the code in Ex.6
in TVM ver0.8. And my result is not the same with the result given in the doc.
Doc's result :
```python
// attr [B] storage_scope = "global"
allocate
Does anyone know how to solve this problem or how to import the vgg16 model?
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AssertionError: User specified the shape for inputs that weren't found in the
graph: {'input0': (1, 3, 224, 224)}
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from tvm import relay
from tvm import nd
import numpy as np
import torch
import torchvision
from op_runtime import op_run
from PIL import Image
from torchvision import transforms
from torchvision import models
import onnx
import tvm
onnx_model = onnx.load_model('vgg16.onnx')
x = np.ra
