diff options
author | Jon Bratseth <bratseth@oath.com> | 2018-09-24 17:01:43 -0700 |
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committer | Jon Bratseth <bratseth@oath.com> | 2018-09-24 17:01:43 -0700 |
commit | 015abd305551de1201586398bedcef98a65732ae (patch) | |
tree | 96784a072480e27cc85b8f9fa5783d622bff4fdc /searchlib/src/test | |
parent | 6162ec099bc06ac7ba7a82f2ca59aa1e869a6c96 (diff) | |
parent | 843eff1591eebee0f59eb9ef36e44989952c319b (diff) |
Merge with master
Diffstat (limited to 'searchlib/src/test')
4 files changed, 4 insertions, 4 deletions
diff --git a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/BatchNormImportTestCase.java b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/BatchNormImportTestCase.java index 62bbc9ae81f..593e7b54c10 100644 --- a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/BatchNormImportTestCase.java +++ b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/BatchNormImportTestCase.java @@ -25,7 +25,7 @@ public class BatchNormImportTestCase { assertNotNull(output); assertEquals("dnn/batch_normalization_3/batchnorm/add_1", output.getBody().getName()); model.assertEqualResult("X", output.getBody().getName()); - assertEquals("{x=tensor(d0[],d1[784])}", output.arguments().toString()); + assertEquals("{x=tensor(d0[],d1[784])}", output.argumentTypes().toString()); } } diff --git a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/DropoutImportTestCase.java b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/DropoutImportTestCase.java index 2a894adc92c..59712c0152f 100644 --- a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/DropoutImportTestCase.java +++ b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/DropoutImportTestCase.java @@ -36,7 +36,7 @@ public class DropoutImportTestCase { assertEquals("join(join(imported_ml_function_test_outputs_BiasAdd, reduce(constant(test_outputs_Const), sum, d1), f(a,b)(a * b)), imported_ml_function_test_outputs_BiasAdd, f(a,b)(max(a,b)))", output.getBody().getRoot().toString()); model.assertEqualResult("X", output.getBody().getName()); - assertEquals("{x=tensor(d0[],d1[784])}", output.getBody().toString()); + assertEquals("{x=tensor(d0[],d1[784])}", output.argumentTypes().toString()); } } diff --git a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/OnnxMnistSoftmaxImportTestCase.java b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/OnnxMnistSoftmaxImportTestCase.java index bcdfde67dc0..b6e83404ab1 100644 --- a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/OnnxMnistSoftmaxImportTestCase.java +++ b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/OnnxMnistSoftmaxImportTestCase.java @@ -49,7 +49,7 @@ public class OnnxMnistSoftmaxImportTestCase { output.getBody().getRoot().toString()); assertEquals(TensorType.fromSpec("tensor(d0[],d1[784])"), model.inputs().get(model.defaultSignature().inputs().get("Placeholder"))); - assertEquals("{Placeholder=tensor(d0[],d1[784])}", output.getBody().toString()); + assertEquals("{Placeholder=tensor(d0[],d1[784])}", output.argumentTypes().toString()); } @Test diff --git a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/TensorFlowMnistSoftmaxImportTestCase.java b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/TensorFlowMnistSoftmaxImportTestCase.java index b14a4a5b430..0a48ecfce21 100644 --- a/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/TensorFlowMnistSoftmaxImportTestCase.java +++ b/searchlib/src/test/java/com/yahoo/searchlib/rankingexpression/integration/ml/TensorFlowMnistSoftmaxImportTestCase.java @@ -62,7 +62,7 @@ public class TensorFlowMnistSoftmaxImportTestCase { assertEquals("add", output.getBody().getName()); assertEquals("join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(test_Variable_read), f(a,b)(a * b)), sum, d2), constant(test_Variable_1_read), f(a,b)(a + b))", output.getBody().getRoot().toString()); - assertEquals("{x=tensor(d0[],d1[784])}", output.getBody().toString()); + assertEquals("{x=tensor(d0[],d1[784])}", output.argumentTypes().toString()); // Test execution model.assertEqualResult("Placeholder", "MatMul"); |