[barracuda] Update Barracuda to 0.7.0-preview (#3875)

Project/Assets/ML-Agents/Examples/SharedAssets/Scripts/ModelOverrider.cs

 using System;
 using System.Collections.Generic;
 using UnityEngine;
-using Barracuda;
+using Unity.Barracuda;
 using System.IO;
 using Unity.MLAgents;
 using Unity.MLAgents.Policies;

Project/Assets/ML-Agents/Examples/WallJump/Scripts/WallJumpAgent.cs

 using System.Collections;
 using UnityEngine;
 using Unity.MLAgents;
-using Barracuda;
+using Unity.Barracuda;
 using Unity.MLAgents.Sensors;
 
 public class WallJumpAgent : Agent

com.unity.ml-agents/CHANGELOG.md

   C# style conventions. All public fields and properties now use "PascalCase"
   instead of "camelCase"; for example, `Agent.maxStep` was renamed to
   `Agent.MaxStep`. For a full list of changes, see the pull request. (#3828)
+- Updated to Barracuda 0.7.0-preivew which has breaking namespace and assembly name changes.
 #### ml-agents / ml-agents-envs / gym-unity (Python)
 - The `--load` and `--train` command-line flags have been deprecated. Training
   now happens by default, and use `--resume` to resume training instead. (#3705)

com.unity.ml-agents/Editor/BehaviorParametersEditor.cs

 using Unity.MLAgents.Sensors;
 using UnityEditor;
-using Barracuda;
+using Unity.Barracuda;
 using UnityEngine;
 
 namespace Unity.MLAgents.Editor

com.unity.ml-agents/Editor/Unity.ML-Agents.Editor.asmdef

     "name": "Unity.ML-Agents.Editor",
     "references": [
         "Unity.ML-Agents",
-        "Barracuda",
+        "Unity.Barracuda",
         "Unity.ML-Agents.CommunicatorObjects"
     ],
     "optionalUnityReferences": [],
     "precompiledReferences": [],
     "autoReferenced": true,
     "defineConstraints": []
-}
+}

com.unity.ml-agents/Runtime/Academy.cs

 using Unity.MLAgents.Inference;
 using Unity.MLAgents.Policies;
 using Unity.MLAgents.SideChannels;
-using Barracuda;
+using Unity.Barracuda;
 
 /**
  * Welcome to Unity Machine Learning Agents (ML-Agents).

com.unity.ml-agents/Runtime/Agent.cs

 using System.Collections.Generic;
 using System.Collections.ObjectModel;
 using UnityEngine;
-using Barracuda;
+using Unity.Barracuda;
 using UnityEngine.Serialization;
 
 namespace Unity.MLAgents

com.unity.ml-agents/Runtime/Inference/ApplierImpl.cs

 using System;
 using System.Collections.Generic;
 using System.Linq;
-using Barracuda;
+using Unity.Barracuda;
 using UnityEngine;
 
 namespace Unity.MLAgents.Inference

com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs

 using System;
 using System.Collections.Generic;
 using System.Linq;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Inference
 {
                     "suggest Continuous Control.");
                 return failedModelChecks;
             }
-            var tensorTester = new Dictionary<string, Func<BrainParameters, TensorShape, int, string>>();
+            var tensorTester = new Dictionary<string, Func<BrainParameters, TensorShape?, int, string>>();
             if (brainParameters.VectorActionSpaceType == SpaceType.Continuous)
             {
                 tensorTester[TensorNames.ActionOutput] = CheckContinuousActionOutputShape;
             {
                 if (tensorTester.ContainsKey(name))
                 {
-                    var tester = tensorTester[name];
+                    Func<BrainParameters, TensorShape?, int, string> tester = tensorTester[name];
                     var error = tester.Invoke(brainParameters, model.GetShapeByName(name), modelActionSize);
                     if (error != null)
                     {
         /// check failed. If the check passed, returns null.
         /// </returns>
         static string CheckDiscreteActionOutputShape(
-            BrainParameters brainParameters, TensorShape shape, int modelActionSize)
+            BrainParameters brainParameters, TensorShape? shape, int modelActionSize)
         {
             var bpActionSize = brainParameters.VectorActionSize.Sum();
             if (modelActionSize != bpActionSize)
         /// <returns>If the Check failed, returns a string containing information about why the
         /// check failed. If the check passed, returns null.</returns>
         static string CheckContinuousActionOutputShape(
-            BrainParameters brainParameters, TensorShape shape, int modelActionSize)
+            BrainParameters brainParameters, TensorShape? shape, int modelActionSize)
         {
             var bpActionSize = brainParameters.VectorActionSize[0];
             if (modelActionSize != bpActionSize)

com.unity.ml-agents/Runtime/Inference/GeneratorImpl.cs

 using System.Collections.Generic;
 using System;
-using Barracuda;
+using Unity.Barracuda;
 using UnityEngine;
 using Unity.MLAgents.Sensors;
 

com.unity.ml-agents/Runtime/Inference/ModelRunner.cs

 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 using UnityEngine.Profiling;
 using Unity.MLAgents.Sensors;
 using Unity.MLAgents.Policies;

com.unity.ml-agents/Runtime/Inference/TensorApplier.cs

 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Inference
 {

com.unity.ml-agents/Runtime/Inference/TensorGenerator.cs

 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Inference
 {

com.unity.ml-agents/Runtime/Inference/TensorProxy.cs

 using System;
 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Inference
 {

com.unity.ml-agents/Runtime/Policies/BarracudaPolicy.cs

-using Barracuda;
+using Unity.Barracuda;
 using System.Collections.Generic;
 using Unity.MLAgents.Inference;
 using Unity.MLAgents.Sensors;

com.unity.ml-agents/Runtime/Policies/BehaviorParameters.cs

-using Barracuda;
+using Unity.Barracuda;
 using System;
 using UnityEngine;
 using UnityEngine.Serialization;

com.unity.ml-agents/Runtime/Sensors/ObservationWriter.cs

 using System;
 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Sensors
 {

com.unity.ml-agents/Runtime/Unity.ML-Agents.asmdef

 {
     "name": "Unity.ML-Agents",
     "references": [
-        "Barracuda",
+        "Unity.Barracuda",
         "Unity.ML-Agents.CommunicatorObjects"
     ],
     "optionalUnityReferences": [],
     ],
     "autoReferenced": true,
     "defineConstraints": []
-}
+}

com.unity.ml-agents/Tests/Editor/DiscreteActionOutputApplierTest.cs

 using System;
-using Barracuda;
+using Unity.Barracuda;
 using NUnit.Framework;
 using UnityEngine;
 using Unity.MLAgents.Inference;

com.unity.ml-agents/Tests/Editor/EditModeTestInternalBrainTensorApplier.cs

 using System.Collections.Generic;
 using NUnit.Framework;
-using Barracuda;
+using Unity.Barracuda;
 
 namespace Unity.MLAgents.Tests
 {

com.unity.ml-agents/Tests/Editor/EditModeTestInternalBrainTensorGenerator.cs

 using System.Collections.Generic;
-using Barracuda;
+using Unity.Barracuda;
 using NUnit.Framework;
 using UnityEngine;
 using Unity.MLAgents.Inference;

com.unity.ml-agents/Tests/Editor/ModelRunnerTest.cs

 using NUnit.Framework;
 using UnityEngine;
 using UnityEditor;
-using Barracuda;
+using Unity.Barracuda;
 using System.Linq;
 using Unity.MLAgents.Policies;
 

com.unity.ml-agents/Tests/Editor/ParameterLoaderTest.cs

 using NUnit.Framework;
 using UnityEngine;
 using UnityEditor;
-using Barracuda;
+using Unity.Barracuda;
 using System.Linq;
 using Unity.MLAgents.Policies;
 

com.unity.ml-agents/Tests/Editor/Sensor/ObservationWriterTests.cs

 using NUnit.Framework;
 using Unity.MLAgents.Sensors;
-using Barracuda;
+using Unity.Barracuda;
 
 
 namespace Unity.MLAgents.Tests

com.unity.ml-agents/Tests/Editor/TensorUtilsTest.cs

 using System;
-using Barracuda;
+using Unity.Barracuda;
 using NUnit.Framework;
 
 namespace Unity.MLAgents.Tests

com.unity.ml-agents/Tests/Editor/Unity.ML-Agents.Editor.Tests.asmdef

     "references": [
         "Unity.ML-Agents.Editor",
         "Unity.ML-Agents",
-        "Barracuda",
+        "Unity.Barracuda",
         "Unity.ML-Agents.CommunicatorObjects"
     ],
     "optionalUnityReferences": [
     "defineConstraints": [
         "UNITY_INCLUDE_TESTS"
     ]
-}
+}

com.unity.ml-agents/Tests/Runtime/Unity.ML-Agents.Runtime.Tests.asmdef

     "name": "Tests",
     "references": [
         "Unity.ML-Agents",
-        "Barracuda",
+        "Unity.Barracuda",
         "Unity.ML-Agents.CommunicatorObjects",
         "Unity.ML-Agents.Editor"
     ],

com.unity.ml-agents/package.json

   "unity": "2018.4",
   "description": "Add interactivity to your game with Machine Learning Agents trained using Deep Reinforcement Learning.",
   "dependencies": {
-    "com.unity.barracuda": "0.6.3-preview"
+    "com.unity.barracuda": "0.7.0-preview"
-}
+}