* fix(docs): remove --branch flag from git clone command for bleeding edge setup in Installation.md
The `--branch` flag was causing a fatal error during the cloning process:
"fatal: You must specify a repository to clone."
* docs: correct config setting name from `conditioning_type` to `goal_conditioning_type`
Updated the documentation to reflect the correct config setting name `goal_conditioning_type` instead of `conditioning_type` in the config YAML. This ensures accuracy and prevents potential confusion for users following the documentation.
* adding wrench
* correct build path
* release branch and 6.0 target
* XmlDoc update
* adressing xml docs
* more docs
* updating the release
* test xmldoc fixes
* more xml doc fixes
* Uncompress the 3DBall sample
* Fix API documentation
* more xml doc fixes
* Revert "Uncompress the 3DBall sample"
This reverts commit d67dc94192.
* reformat MaxStep xml
* more xml doc fixes
* fix more xml doc issues
* fix summary tag
* Updated changelog for missing PRs.
* Removed tabs from .tests.json.
* Updated changelog.
* Removed tabs from CHANGELOG.
* Fix failing ci post upgrade (#6141) (#6145)
* Update PerformancProject and DevProject.
* Removed mac perf tests.
* Removing standalone tests dep from wrench packaging.
* Fixed package works issues. Updated com.unity.ml-agents.md.
* Updated com.unity.ml-agents.md.
* Updated package version in Academy.cs
* Adding back in package pack deps.
* Updated package pack testing deps..
* Regenerated wrench ymls.
* License update.
* Extensions License update.
* Another license tweak.
* Another license tweak.
* Upgraded to sentis 2.1.0.
* Updated standalone yamato build test to using new ml-agents ubuntu ci bokken image.
---------
Co-authored-by: alexandre-ribard <alexandre.ribard@unity3d.com>
Co-authored-by: Aurimas Petrovas <>
The 8.x release should contain https://github.com/dotnet/runtime/pull/90342 which fixes https://github.com/dotnet/runtime/issues/80619.
I hope this will fix flaky failures like https://github.com/Unity-Technologies/ml-agents/actions/runs/8268945605/job/22623023348 of the form:
```
dotnet-format............................................................Failed
- hook id: dotnet-format
- exit code: 1
System.IO.IOException: The system cannot open the device or file specified. : 'NuGet-Migrations'
at System.Threading.Mutex.CreateMutexCore(Boolean initiallyOwned, String name, Boolean& createdNew)
at System.Threading.Mutex..ctor(Boolean initiallyOwned, String name)
at NuGet.Common.Migrations.MigrationRunner.Run(String migrationsDirectory)
at Microsoft.DotNet.Configurer.DotnetFirstTimeUseConfigurer.Configure()
at Microsoft.DotNet.Cli.Program.ConfigureDotNetForFirstTimeUse(IFirstTimeUseNoticeSentinel firstTimeUseNoticeSentinel, IAspNetCertificateSentinel aspNetCertificateSentinel, IFileSentinel toolPathSentinel, Boolean isDotnetBeingInvokedFromNativeInstaller, DotnetFirstRunConfiguration dotnetFirstRunConfiguration, IEnvironmentProvider environmentProvider, Dictionary`2 performanceMeasurements)
at Microsoft.DotNet.Cli.Program.ProcessArgs(String[] args, TimeSpan startupTime, ITelemetry telemetryClient)
at Microsoft.DotNet.Cli.Program.Main(String[] args)
```
Fixes https://github.com/Unity-Technologies/ml-agents/issues/6047
Fixes the following errors when installing ml-agents-envs on windows if numpy 1.21.2 is already installed:
```
Building wheel for numpy (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building wheel for numpy (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [326 lines of output]
setup.py:63: RuntimeWarning: NumPy 1.21.2 may not yet support Python 3.10.
warnings.warn(
Running from numpy source directory.
```
Removing "or higher" because:
(i) ./ml-agents/setup.py requires >=3.10.1,<=3.10.12
(ii) python 3.10.13 is the default conda install, and 3.10.13 does not work correctly with numpy 1.21.2
* Fix GPU continuous build: correct torchaudio version
torchaudio 0.17 doesn't exist, but 2.2 does.
Use a slightly older cuda version, since that makes cuda detection work on the machines we're running on (RTX 2080's on Ubuntu 18.04, which presumably aren't compatible with CUDA 12).
(I'm not sure if the tests actually need torchaudio or torchvision, since those aren't listed dependencies of any of our software, but let's at least install a valid one)
Passing yamato run with this change: https://unity-ci.cds.internal.unity3d.com/job/34869354/logs
* Don't install torchaudio and torchvision, since they're unused
Sample passing GPU test run: https://unity-ci.cds.internal.unity3d.com/job/34891013/logs
Ignore spurious dead links to tensorflow.org pages, since we're seeing an infinite redirect for some reason that doesn't reproduce in the browser or with `curl`.
* Fix list being rendered incorrectly in webdocs
I assume this extra blank line will fix the list not being correctly formatted on https://unity-technologies.github.io/ml-agents/#releases-documentation
* Fix typos in docs
* Fix more mis-rendered lists
Add a blank line before bulleted lists in markdown files to avoid them being rendered as in-paragraph sentences that all start with hyphens.
* Fix typos in python comments used to generate docs
These references were missed when upgrading from pytorch 1.x to 2.x in #6013
References found by running `grep -R '1\.13\.1' .`
Install command chosen from the guide at https://pytorch.org/get-started/locally/
This fixes builds of ONNX on OS X while installing ml-agents.
OS X builds use Xcode by default, and the Xcode compiler defaults to using C++98 mode for C++ ( https://stackoverflow.com/a/21349148 ). This causes errors building protocol buffer libraries, which need to be compiled with support for C++14 or newer ( https://github.com/protocolbuffers/protobuf/issues/12393#issuecomment-1508983035 ).
[This ONNX commit](a979e75613) changes its compilation to use C++14 mode: releases that include this commit (1.15.0 or newer) build with Xcode by default.
ONNX 1.15.0 uses a newer protocol buffer library, so allow newer versions here too.
Before installing `grpcio` on my Apple Silicon mac, running `mlagents-learn --help` threw the following error:
```
ImportError: dlopen(/Users/alex.mccarthy/miniconda3/envs/mlagents/lib/python3.10/site-packages/grpc/_cython/cygrpc.cpython-310-darwin.so, 0x0002): symbol not found in flat namespace '_CFRelease'
```
After installing `grpcio` (which I did from conda, rather than pip), `mlagents-learn --help` ran cleanly.
Fixes pre-commit errors of the form:
```
Run actions/setup-ruby@v1
with:
ruby-version: 2.6
env:
pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64
LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib
ImageOS: ubuntu20
------------------------
NOTE: This action is deprecated and is no longer maintained.
Please, migrate to https://github.com/ruby/setup-ruby, which is being actively maintained.
------------------------
Error: Version 2.6 not found
```
While we're upgrading this pre-commit, also upgrade from ruby 2.6 to ruby 2.7.
Louis Gauthier
Miguel Alonso Jr.
alex-mccarthy-unity
hamidrexa ghahremani
xyz2022
Ibrahim Alhas
Siddharth
Miguel Alonso Jr