I guess you've used RandomTuner or GridTuner, which traverses the whole search
space randomly or in sequence.
As for the ML part of the AutoTVM, it means to use the XGBTuner in the current
code base. With which, AutoTVM extracts features from a given schedule and uses
a XGBoost model to predi
Yeah. We didn't do auto tuning on symbolic shape yet, but scheduling symbolic
shape operators is well supported
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Sorry, I send you the loading model part code into TVM. Our code can not be
uploaded in the git repo.
You only run this 'import_rnnt.py' , and it will reproduce the error.
It needs a 'rnnt.toml' which is in the same path.
You need to download the rnnt checkpoint by pytorch.
https://zenodo.org/r
I find "te.var" could solve my problem. Thanks a lot!
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sorry can you make a git repo with all necessary files?
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There are some other files "helpers.py", "metrics.py", "preprocessing.py",
"dataset.py"
helpers.py:
```
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
# Copyright (c) 2019, Myrtle Software Limited. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "Lic
Thanks for answering! By the way, can we schedule operations with variable
tensor shapes as we can do with static tensor shapes? Say, bind or split a
given axis at certain stage. I am trying to set up scheduling process by hand
written scheduling template, but I cannot figure out how to perfor
The model of RNNT is from https://zenodo.org/record/3662521
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Hi, I copy and paste 4 script. The RNN is defined in 'rnn.py'. The rnnt is
defined in 'model_rnnt.py'.
I tried to import the rnnt model into TVM . Please check it in first script.
In the function get_rnnt_model I load the pre-trained model RNNT.
In the function rnnt_model_to_tvm_mod , I tried to
rnn.py
```
# Copyright (c) 2019, Myrtle Software Limited. All rights reserved.
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a c
decoders.py
```
# Copyright (c) 2019, Myrtle Software Limited. All rights reserved.
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtai
model_rnnt.py
```
# Copyright (c) 2019, Myrtle Software Limited. All rights reserved.
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obt
```
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
can you show me your script so that I can reproduce your problem?
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Also, I use torch.jit.trace. But, There are ‘aten::lstm', 'aten::copy_' are not
supported.
```
Traceback (most recent call last):
File
"/Automation/zzhen/pycharm-community-2019.3.3/plugins/python-ce/helpers/pydev/pydevd.py",
line 1434, in _exec
pydev_imports.execfile(file, globals, local
No it’s not supported yet at least in the upstream. Although we’ve been talking
this for a while, we haven’t really got a chance to make a concrete plan.
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