I implemented the conv3d with int8 as following:
I create the file ```python/tvm/topi/cuda/conv3d_int8.py``` which implement the
operation itself.
```
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with
First of all, given that the schema generation itself is de-coupled as a
frontend, there won't be a problem for the lower-level production system, as
the object themselves are still presented as part of the C++ and build into the
system. The schema generation is ran separately just like clang-
Hello @OValery16, I believe the issue you are encountering is that you are
calling `te.thread_axis("threadIdx.z")` multiple times. Instead, can you try
creating the thread axis once with `thread_z = te.thread_axis("threadIdx.y")`
and then use it like so: `s[output].bind(s[output].fuse(tf, td),
May I ask what version of the code (incubator-tvm) you used?
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0.7 release 2020-10-02
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