Hi,
I was trying to import
[bert-base-uncased](https://pypi.org/project/pytorch-pretrained-bert/) by
PyTorch relay. It said that "NotImplementedError: The following operators are
not implemented: ['prim::ImplicitTensorToNum']"
I can't find any useful information about 'ImplicitTensorTo
when i run : python3 -m tvm.exec.query_rpc_tracker --host=0.0.0.0 --port=9191
Server List
server-address key
10.1.198.2:37594server:android
Queue Status
---
key tota
You can write a small pass in Python to partition the program in the way that
you would like. For example this below pass splits the inputs, and then adds,
and concatenates them. You can employ a similar technique to do the
partitioning that you want.
https://gist.github.com/jroesch/a110f8ea
I have been studying the features extracted from the low-level AST in the paper:
"Learning to Optimize Tensor Programs"
https://arxiv.org/abs/1805.08166
I came across the example below,
but I am having trouble understanding the num
The model pic is here:
---
[Visit
Topic](https://discuss.tvm.ai/t/concat-node-has-no-topi-key-when-auto-tuning-onnx-model-to-tvm/6651/2)
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Encounter a "KeyError:'topi_op'" problem when running tvm auto tune.
It occurs in _iterate_layout_transform() when running
DPTuner.benchmark_layout_trasform.
As you see, in_node_entry[964] has no key "topi_op", this node is the
second
