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| author | Lester Solbakken <lesters@oath.com> | 2019-06-20 11:00:21 +0200 |
|---|---|---|
| committer | Lester Solbakken <lesters@oath.com> | 2019-06-20 11:00:21 +0200 |
| commit | 0537cf53ff4aa6c185aa9285497886d154c3ebd3 (patch) | |
| tree | 7fed56d28fde0bc8bf22bda6a69229260601d24f /model-integration | |
| parent | c286fdc8e628b9141a54ccbf76c46ed36f498e34 (diff) | |
Change assert message for skipped outputs in TF import
Diffstat (limited to 'model-integration')
4 files changed, 4 insertions, 4 deletions
diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java index 1b8d06bf964..e75c7fd4da3 100644 --- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java +++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java @@ -22,7 +22,7 @@ public class BatchNormImportTestCase { "src/test/models/tensorflow/batch_norm/saved"); ImportedModel.Signature signature = model.get().signature("serving_default"); - assertEquals("Has skipped outputs", + assertEquals("Should have no skipped outputs", 0, model.get().signature("serving_default").skippedOutputs().size()); diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/DropoutImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/DropoutImportTestCase.java index 5e5c81ddcf1..b9d767774be 100644 --- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/DropoutImportTestCase.java +++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/DropoutImportTestCase.java @@ -29,7 +29,7 @@ public class DropoutImportTestCase { ImportedModel.Signature signature = model.get().signature("serving_default"); - Assert.assertEquals("Has skipped outputs", + Assert.assertEquals("Should have no skipped outputs", 0, model.get().signature("serving_default").skippedOutputs().size()); ImportedMlFunction function = signature.outputFunction("y", "y"); diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/MnistImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/MnistImportTestCase.java index 6b3e9207fad..c13ed84f701 100644 --- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/MnistImportTestCase.java +++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/MnistImportTestCase.java @@ -19,7 +19,7 @@ public class MnistImportTestCase { public void testMnistImport() { TestableTensorFlowModel model = new TestableTensorFlowModel("test", "src/test/models/tensorflow/mnist/saved"); ImportedModel.Signature signature = model.get().signature("serving_default"); - Assert.assertEquals("Has skipped outputs", + Assert.assertEquals("Should have no skipped outputs", 0, model.get().signature("serving_default").skippedOutputs().size()); ImportedMlFunction output = signature.outputFunction("y", "y"); diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/SoftmaxImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/SoftmaxImportTestCase.java index 9e37a98bb95..525f915b252 100644 --- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/SoftmaxImportTestCase.java +++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/SoftmaxImportTestCase.java @@ -18,7 +18,7 @@ public class SoftmaxImportTestCase { public void testSoftmaxImport() { TestableTensorFlowModel model = new TestableTensorFlowModel("test", "src/test/models/tensorflow/softmax/saved", 1, 5); ImportedModel.Signature signature = model.get().signature("serving_default"); - Assert.assertEquals("Has skipped outputs", + Assert.assertEquals("Should have no skipped outputs", 0, model.get().signature("serving_default").skippedOutputs().size()); ImportedMlFunction output = signature.outputFunction("y", "y"); |