## Problem
TensorFlow is one of the most popular machine learning libraries and most
developers are used to train/inference models with TensorFlow/TensorFlow
Serving. TVM is the flexible compiler to run computation efficiently in
different devices. Although TensorFlow has implemented some effic
The implementation of this proposal has been submit to
https://github.com/apache/incubator-tvm/pull/4459 .
Anyone can try to test their TVM operators by re-compiling TVM with
`set(USE_TFOP ON)`.
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Thanks @jwfromm and you're definitely right. This is the fastest way to
integrate TVM functions into TensorFlow if we can not convert the whole model
to TVM. This may be meaningful for TensorFlow developers if they can to try TVM
and leverage the sub-graph optimizaition from TVM.
Actually this
Hi @tqchen @jwfromm @jroesch @soiferj , do you have any other comment?
We may add more docs about implementation and usage so that everyone can know
it works.
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The PR has been merged and we will close this issue.
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https://github.com/apache/incubator-tvm/issues/4464#issuecomment-621593883
Closed #4464.
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@652994331 You should not `tftvm` which is deprecated and please rebuild TVM
with `USE_TF_TVMSOOP=ON`.
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@652994331 You need to install `tensorflow` so that TVMDSOOp could link to
TensorFlow libraries.
Here is the error message from your cmake.
```
ModuleNotFoundError: No module named 'tensorflow'
```
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# Integrate TVM optimization into TensorFlow with TVMDSOOp
## Introduction
In the next release of TVM(maybe 0.7), we have released the new feature called
TVMDSOOp to integrate TVM optimization with TensorFlow.
TVMDSOOp is the general custom operator for TensorFlow which can run any TVM
optim
We have add the document in discuss first and please help to review if you have
time @tqchen @FrozenGene @zhiics @gmagogsfm . Hope to add in the official
document when the content is ready.
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Thanks @zhiics and @FrozenGene . We have the Keras example with TVMDSOOp as
well and we will update the document in google docs later which may help to
review.
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