Merge pull request #9 from AsakusaRinne/add_cv_compatibility

ci: update release ci.

.github/workflows/build_and_test.yml

@@ -8,6 +8,7 @@ on:
     branches: [ "master" ]
   pull_request:
     branches: [ "master" ]
+    types: ["opened", "reopened", "synchronize", "ready_for_review", "auto_merge_enabled"]
 
 jobs:
   windows:
@@ -24,8 +25,8 @@ jobs:
       run: dotnet restore
     - name: Build CPU version
       run: dotnet build --no-restore
-#     - name: Test CPU version
-#       run: dotnet test --no-build --verbosity normal
+    - name: Test CPU version
+      run: dotnet test --no-build --verbosity normal
     - name: uninstall redist cpu for unit tests
       run: dotnet remove helpers/Tensorflow.UnitTest.RedistHolder package SciSharp.TensorFlow.Redist
     - name: install redist gpu for unit tests
@@ -51,8 +52,8 @@ jobs:
       run: dotnet restore
     - name: Build CPU version
       run: dotnet build --no-restore
-#     - name: Test CPU version
-#       run: dotnet test --no-build --verbosity normal
+    # - name: Test CPU version
+    #   run: dotnet test --no-build --verbosity normal
     - name: uninstall redist cpu for unit tests
       run: dotnet remove helpers/Tensorflow.UnitTest.RedistHolder package SciSharp.TensorFlow.Redist
     - name: install redist gpu for unit tests

.github/workflows/release.yml

@@ -1,6 +1,6 @@
-name: release
+name: auto-release
 
-on:
+on: 
   workflow_run:
     workflows: ["build_and_test"]
     types:
@@ -12,6 +12,7 @@ env:
 
 jobs:
   build:
+    if: ${{ github.event.label.name == 'auto-release'}}
     runs-on: windows-latest
 
     steps:
@@ -67,7 +68,8 @@ jobs:
 
     - name: Pack packages
       run: |
-        $LastTag = git describe --tags (git rev-list --tags --max-count=1);
+        git fetch;
+        $LastTag = git describe --tags;
         echo "Last tag is: $LastTag";
         $Version = ($LastTag).TrimStart('v');
         echo "Publishing version: $Version";
@@ -88,5 +90,11 @@ jobs:
     - name: Add myget nuget source
       run: dotnet nuget add source https://www.myget.org/F/rinne/api/v2/package --name myget.org
 
-    - name: Push packages to myget.org
-      run: dotnet nuget push .\packages\TensorFlow*.nupkg -s myget.org -k $env:MYGET_API_TOKEN --skip-duplicate
+    - name: Push TensorFlow.NET to myget.org
+      run: dotnet nuget push .\packages\TensorFlow.NET.nupkg -s myget.org -k $env:MYGET_API_TOKEN --skip-duplicate
+
+    - name: Push TensorFlow.Keras to myget.org
+      run: dotnet nuget push .\packages\TensorFlow.Keras.nupkg -s myget.org -k $env:MYGET_API_TOKEN --skip-duplicate
+
+    - name: Push TensorFlow.Hub to myget.org
+      run: dotnet nuget push .\packages\TensorFlow.Hub.nupkg -s myget.org -k $env:MYGET_API_TOKEN --skip-duplicate

src/TensorflowNET.Hub/Tensorflow.Hub.csproj

@@ -5,7 +5,7 @@
     <LangVersion>10</LangVersion>
     <Nullable>enable</Nullable>
     <Version>1.0.0</Version>
-    <PackageId>TensorFlow.NET.Hub</PackageId>
+    <PackageId>TensorFlow.Hub</PackageId>
     <PackageLicenseExpression>Apache2.0</PackageLicenseExpression>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>

test/TensorFlowNET.Keras.UnitTest/Layers/ActivationTest.cs

@@ -49,7 +49,7 @@ namespace Tensorflow.Keras.UnitTest.Layers
             Tensor input = tf.constant(new float[] { -3f, -2f, -1f, 0f, 1f, 2f });
             Tensor output = keras.layers.Softplus().Apply(input);
             NDArray expected = new NDArray(new float[] { 0.04858733f, 0.12692805f, 0.31326166f, 0.6931472f, 1.3132616f, 2.126928f });
-            Assert.AreEqual(expected, output.numpy());
+            Assert.IsTrue(expected == output.numpy());
         }
 
         [TestMethod]

test/TensorFlowNET.Keras.UnitTest/Layers/AttentionTest.cs

@@ -94,7 +94,7 @@ namespace Tensorflow.Keras.UnitTest.Layers
                 { 7.6400003f, 12.24f, 16.84f },
                 { 14.24f, 22.84f, 31.439999f }
             } }, dtype: np.float32);
-            Assert.AreEqual(expected, actual.numpy());
+            Assert.IsTrue(expected == actual.numpy());
         }
 
         [TestMethod]

test/TensorFlowNET.Keras.UnitTest/Losses/LossesTest.cs

@@ -39,7 +39,7 @@ public class LossesTest : EagerModeTestBase
         // Using 'none' reduction type.
         bce = tf.keras.losses.BinaryCrossentropy(from_logits: true, reduction: Reduction.NONE);
         loss = bce.Call(y_true, y_pred);
-        Assert.AreEqual(new float[] { 0.23515666f, 1.4957594f }, loss.numpy());
+        Assert.IsTrue(new NDArray(new float[] { 0.23515666f, 1.4957594f }) == loss.numpy());
     }
 
     /// <summary>