diff options
Diffstat (limited to 'config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java')
-rw-r--r-- | config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java b/config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java index cf37864b73a..a212726efda 100644 --- a/config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java +++ b/config-model/src/test/java/com/yahoo/searchdefinition/processing/RankingExpressionWithTensorFlowTestCase.java @@ -45,8 +45,8 @@ public class RankingExpressionWithTensorFlowTestCase { private final Path applicationDir = Path.fromString("src/test/integration/tensorflow/"); - /** The model name - an artifact of the fact that the model here is not placed in the expected directory (models) */ - private final String name = "test_integration_tensorflow_models_mnist_softmax_saved"; + /** The model name */ + private final String name = "mnist_softmax_saved"; private final String vespaExpression = "join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(" + name + "_layer_Variable_read), f(a,b)(a * b)), sum, d2), constant(" + name + "_layer_Variable_1_read), f(a,b)(a + b))"; @@ -286,7 +286,7 @@ public class RankingExpressionWithTensorFlowTestCase { search.assertFirstPhaseExpression(vespaExpressionWithoutConstant, "my_profile_child"); assertNull("Constant overridden by macro is not added", - search.search().getRankingConstants().get("mnist_softmax_saved_layer_Variable_read")); + search.search().rankingConstants().get("mnist_softmax_saved_layer_Variable_read")); assertLargeConstant(name + "_layer_Variable_1_read", search, Optional.of(10L)); // At this point the expression is stored - copy application to another location which do not have a models dir @@ -302,7 +302,7 @@ public class RankingExpressionWithTensorFlowTestCase { searchFromStored.assertFirstPhaseExpression(vespaExpressionWithoutConstant, "my_profile"); searchFromStored.assertFirstPhaseExpression(vespaExpressionWithoutConstant, "my_profile_child"); assertNull("Constant overridden by macro is not added", - searchFromStored.search().getRankingConstants().get("mnist_softmax_saved_layer_Variable_read")); + searchFromStored.search().rankingConstants().get("mnist_softmax_saved_layer_Variable_read")); assertLargeConstant(name + "_layer_Variable_1_read", searchFromStored, Optional.of(10L)); } finally { @@ -322,7 +322,7 @@ public class RankingExpressionWithTensorFlowTestCase { @Test public void testMacroGeneration() { - final String name = "test_integration_tensorflow_models_mnist_saved"; + final String name = "mnist_saved"; final String expression = "join(join(reduce(join(join(join(imported_ml_macro_" + name + "_dnn_hidden2_add, reduce(constant(" + name + "_dnn_hidden2_Const), sum, d2), f(a,b)(a * b)), imported_ml_macro_" + name + "_dnn_hidden2_add, f(a,b)(max(a,b))), constant(" + name + "_dnn_outputs_weights_read), f(a,b)(a * b)), sum, d2), constant(" + name + "_dnn_outputs_bias_read), f(a,b)(a + b)), tensor(d0[1])(1.0), f(a,b)(a * b))"; final String macroExpression1 = "join(reduce(join(reduce(rename(input, (d0, d1), (d0, d4)), sum, d0), constant(" + name + "_dnn_hidden1_weights_read), f(a,b)(a * b)), sum, d4), constant(" + name + "_dnn_hidden1_bias_read), f(a,b)(a + b))"; final String macroExpression2 = "join(reduce(join(join(join(imported_ml_macro_" + name + "_dnn_hidden1_add, 0.009999999776482582, f(a,b)(a * b)), imported_ml_macro_" + name + "_dnn_hidden1_add, f(a,b)(max(a,b))), constant(" + name + "_dnn_hidden2_weights_read), f(a,b)(a * b)), sum, d3), constant(" + name + "_dnn_hidden2_bias_read), f(a,b)(a + b))"; @@ -340,7 +340,7 @@ public class RankingExpressionWithTensorFlowTestCase { @Test public void testImportingFromStoredExpressionsWithSmallConstantsAndInheritance() throws IOException { - final String name = "test_integration_tensorflow_models_mnist_saved"; + final String name = "mnist_saved"; final String rankProfiles = " rank-profile my_profile {\n" + " macro input() {\n" + @@ -404,7 +404,7 @@ public class RankingExpressionWithTensorFlowTestCase { private void assertLargeConstant(String name, RankProfileSearchFixture search, Optional<Long> expectedSize) { try { Path constantApplicationPackagePath = Path.fromString("models.generated/mnist_softmax/saved/constants").append(name + ".tbf"); - RankingConstant rankingConstant = search.search().getRankingConstants().get(name); + RankingConstant rankingConstant = search.search().rankingConstants().get(name); assertEquals(name, rankingConstant.getName()); assertTrue(rankingConstant.getFileName().endsWith(constantApplicationPackagePath.toString())); |