thanks for your advice, however, i was using cmake 3.17.0 to build tvm. It
seems the problem still exists.
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I believe using this needs cmake 3.12 or later because of the use of
FindPython3 in your cmake modules and this would require an update to the
install source documentation as that implies a requirement of cmake > 3.5 for
building tvm.
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Hi, guys, i am using this tvmdsoop library and i might need your help. For now,
i built the tvm with tvmdsoop successfully. the .so files under my
.../incubator/build path are: libtvm_dso_op.so, libtvm_runtime.so, libtvm.so,
libtvm_topi.so. The tensorflowFlow i used was tensorflow==1.15.0 bui
@tobegit3hub thanks for this great work. I am trying to export an autotuned
model with TVMDSOOp. Now, I am stuck at how to register the func_name to the
tf_op.
```
with tvm.transform.PassContext(opt_level=3):
graph, lib, params = relay.build_module.build(
mod, target=target, params=
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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I agree with @zhiics. Official tutorial is important. Besides @zhiics's
content, we could also list one example how to integrate it with one tensorflow
model end to end, not just the low level `tvm.build`. This will be the common
situation the users want to use.
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I think we actually need two things. One is thinking about how should we enable
the tests to make sure other changes in TVM wouldn't break this functionality.
The other is adding an official tutorial. There are examples under docs/dev.
You can probably take a look at them and add it there. Pl
@FrozenGene, @jwfromm, @zhiics it would be great if we can followup about
potential suggestion for the docs.
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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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You a
# 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
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