Yes, @tqchen and I will post a RFC soon for the binary distribution.
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So far we only released source code in past tvm releases, and we will continue
to do so.
As we continue to develop tvm, we also see some demand for convenient binary
packages, such as wheel or docker binaries. One important factor of such binary
packages is the potential links with third part
The wheels are built on a newer version of CentOS. Pip wheel for CPU is
manylinux2010 compatibility and wheels for CUDA are manylinux2014
compatibility. Releasing wheels with different CUDA versions is to accommodate
different develop and deploy environment.
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Sure, I think you can add this into the `SimplifyExpr` pass. I thought about
this before, but I think that the reshape op might be inlined in the fused op.
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I have one question about `use_topi_schedule`. I assume that after we set it to
False, it will always use the Ansor scheduler to schedule the ops. Will there
be a case that we want have a mix of topi schedule and ansor schedule?
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I propose to rename the `TVMContext` to `TVMDevice`. Currently, `TVMContext` is
used to represent a device that the model is executed on. Two main reasons for
this change:
1. the name of `TVMContext` doesn't intuitively reflect its semantics of a
device.
2. mainstream frameworks including
[
1. TVM uses
[RPCSession](https://tvm.apache.org/docs/api/python/rpc.html#tvm.rpc.RPCSession.context)
to create a remote context/device. We can also change this API to `device`.
2. In fact, I also plan to create a RFC to dlpack for the context name change.
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I don't know much about µTVM. Need to take a look to comment on this.
I think we can make the change in TVM first and change again after the change
is pushed to DLPack. Because there'll be more dependencies in DLPack, it'll
probably take longer time to change in DLPack.
You can also check out
I think we can keep `TVMDevice` in the C++ and backend, but use `tvm.device` in
the python frontend. It can reduce the confusion when integrating TVM into
other frameworks if we keep `TVM` prefix.
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Since everyone agree on A0, I'll go ahead and prepare the PR in next week.
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As per discussion, I will prepare the PR to change the API to `numpy` and add a
deprecation warning message in the `asnumpy`.
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