Bumped versions. (#6155)

* Bumped versions.

* Bumped versions.

* Updated unity projects.

* Updated version validation.

* Fixed failing GPU test.

Author: miguelalonsojr

DevProject/Packages/packages-lock.json

@@ -79,7 +79,7 @@
       "depth": 0,
       "source": "local",
       "dependencies": {
-        "com.unity.ml-agents": "3.0.0-exp.1",
+        "com.unity.ml-agents": "3.0.0",
         "com.unity.modules.physics": "1.0.0"
       }
     },

DevProject/ProjectSettings/EditorBuildSettings.asset

@@ -9,6 +9,6 @@ EditorBuildSettings:
     path: Assets/ML-Agents/Scripts/Tests/Runtime/AcademyTest/AcademyStepperTestScene.unity
     guid: 9bafc50b1e55b43b2b1ae9620f1f8311
   m_configObjects:
-    com.unity.ml-agents.settings: {fileID: 11400000, guid: b176c44294f5e434bb5109ddfc43274e,
+    com.unity.ml-agents.settings: {fileID: 11400000, guid: b9540ad82945942dd852207c48989240,
       type: 2}
   m_UseUCBPForAssetBundles: 0

Project/Packages/packages-lock.json

@@ -96,7 +96,7 @@
       "depth": 0,
       "source": "local",
       "dependencies": {
-        "com.unity.ml-agents": "3.0.0-exp.1",
+        "com.unity.ml-agents": "3.0.0",
         "com.unity.modules.physics": "1.0.0"
       }
     },

com.unity.ml-agents.extensions/package.json

@@ -5,7 +5,7 @@
   "unity": "2023.2",
   "description": "A source-only package for new features based on ML-Agents",
   "dependencies": {
-    "com.unity.ml-agents": "3.0.0-exp.1",
+    "com.unity.ml-agents": "3.0.0",
     "com.unity.modules.physics": "1.0.0"
   }
 }

com.unity.ml-agents/package.json

@@ -12,8 +12,8 @@
   },
   "samples": [
     {
-      "displayName":"3D Ball",
-      "description":"The 3D Ball sample is a simple environment that is a great for jumping into ML-Agents to see how things work.",
+      "displayName": "3D Ball",
+      "description": "The 3D Ball sample is a simple environment that is a great for jumping into ML-Agents to see how things work.",
       "path": "Samples~/3DBall"
     }
   ]

ml-agents-envs/mlagents_envs/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "1.1.0.dev0"
+__version__ = "1.2.0.dev0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
 __release_tag__ = None

ml-agents/mlagents/torch_utils/torch.py

@@ -53,7 +53,7 @@ def set_torch_config(torch_settings: TorchSettings) -> None:
 
     if _device.type == "cuda":
         torch.set_default_device(_device.type)
-        torch.set_default_dtype(torch.cuda.FloatTensor)
+        torch.set_default_dtype(torch.float32)
     else:
         torch.set_default_dtype(torch.float32)
     logger.debug(f"default Torch device: {_device}")

ml-agents/mlagents/trainers/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "1.1.0.dev0"
+__version__ = "1.2.0.dev0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
 __release_tag__ = None

ml-agents/mlagents/trainers/tests/test_torch_utils.py

@@ -11,8 +11,8 @@
     "device_str, expected_type, expected_index, expected_tensor_type",
     [
         ("cpu", "cpu", None, torch.float32),
-        ("cuda", "cuda", None, torch.cuda.FloatTensor),
-        ("cuda:42", "cuda", 42, torch.cuda.FloatTensor),
+        ("cuda", "cuda", None, torch.float32),
+        ("cuda:42", "cuda", 42, torch.float32),
         ("opengl", "opengl", None, torch.float32),
     ],
 )

ml-agents/mlagents/trainers/tests/torch_entities/test_attention.py

@@ -1,5 +1,5 @@
 import pytest
-from mlagents.torch_utils import torch
+from mlagents.torch_utils import torch, default_device
 import numpy as np
 
 from mlagents.trainers.torch_entities.utils import ModelUtils
@@ -217,7 +217,7 @@ def test_predict_minimum_training():
             argmin = argmin.squeeze()
             argmin = argmin.detach()
         sliced_oh = onehots[:, : num + 1]
-        inp = torch.cat([inp, sliced_oh], dim=2)
+        inp = torch.cat([inp, sliced_oh.to(default_device())], dim=2)
 
         embeddings = entity_embedding(inp, inp)
         masks = get_zero_entities_mask([inp])