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test tensorflow2.2rc3 on python3.8 (#3839)

* use py3.8, install cmake for onnx

* disable other circleci tests for now

* install proto for onnx install

* apt-get install protobuf-compiler instead

* skip onnx for python3.8

* use right comparison

* fix up config

* changelog and faq
/develop/dockerfile
GitHub 4 年前
当前提交
b2c1b3b8
共有 5 个文件被更改,包括 11 次插入6 次删除
  1. 6
      .circleci/config.yml
  2. 2
      com.unity.ml-agents/CHANGELOG.md
  3. 4
      docs/FAQ.md
  4. 2
      test_constraints_max_tf2_version.txt
  5. 3
      test_requirements.txt

6
.circleci/config.yml


pyversion: 3.7.3
# Test python 3.7 with the newest supported versions
pip_constraints: test_constraints_max_tf2_version.txt
- build_python:
name: python_3.8.2+tf2.2
executor: python382
pyversion: 3.8.2
# Test python 3.8 with the newest edge versions
pip_constraints: test_constraints_max_tf2_version.txt
- markdown_link_check
- pre-commit
- deploy:

2
com.unity.ml-agents/CHANGELOG.md


- `num_updates` and `train_interval` for SAC were replaced with `steps_per_update`. (#3690)
- `WriteAdapter` was renamed to `ObservationWriter`. If you have a custom `ISensor` implementation,
you will need to change the signature of its `Write()` method. (#3834)
- The maximum compatible version of tensorflow was changed to allow tensorflow 2.1 and 2.2. This
will allow use with python 3.8 using tensorflow 2.2.0rc3.
- `UnityRLCapabilities` was added to help inform users when RL features are mismatched between C# and Python packages. (#3831)
### Bug Fixes

4
docs/FAQ.md


- You're using 32-bit python instead of 64-bit. See the answer
[here](https://stackoverflow.com/a/1405971/224264) for how to tell which you
have installed.
- You're using python 3.8. Tensorflow plans to release packages for this as soon
as possible; see
[this issue](https://github.com/tensorflow/tensorflow/issues/33374) for more
details.
- You have the `tensorflow-gpu` package installed. This is equivalent to
`tensorflow`, however `pip` doesn't recognize this. The best way to resolve
this is to update to `tensorflow==1.15.0` which provides GPU support in the

2
test_constraints_max_tf2_version.txt


# For projects with upper bounds, we should periodically update this list to the latest release version
grpcio>=1.23.0
numpy>=1.17.2
tensorflow>=2.1.0
tensorflow==2.2.0rc3
h5py>=2.10.0

3
test_requirements.txt


pytest-cov==2.6.1
pytest-xdist
tf2onnx>=1.5.5
# onnx doesn't currently have a wheel for 3.8
tf2onnx>=1.5.5;python_version<'3.8'
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