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authorArne Juul <arnej@verizonmedia.com>2021-04-21 11:43:51 +0000
committerArne Juul <arnej@verizonmedia.com>2021-04-23 06:54:56 +0000
commit79249558316f0ae5c677c311ac8ac100e6ba3c08 (patch)
treedab85b61e857c957aa09d206686578d5f8cf0e9d /config-model
parent2eb948d4085f099ed4420d4acb0339f907c03fa6 (diff)
use actual dimension names
Diffstat (limited to 'config-model')
-rw-r--r--config-model/src/test/java/com/yahoo/searchdefinition/RankingExpressionShadowingTestCase.java10
1 files changed, 5 insertions, 5 deletions
diff --git a/config-model/src/test/java/com/yahoo/searchdefinition/RankingExpressionShadowingTestCase.java b/config-model/src/test/java/com/yahoo/searchdefinition/RankingExpressionShadowingTestCase.java
index 8fe4a8fb022..d665b7f20f0 100644
--- a/config-model/src/test/java/com/yahoo/searchdefinition/RankingExpressionShadowingTestCase.java
+++ b/config-model/src/test/java/com/yahoo/searchdefinition/RankingExpressionShadowingTestCase.java
@@ -159,7 +159,7 @@ public class RankingExpressionShadowingTestCase extends SchemaTestCase {
public void testNeuralNetworkSetup() throws ParseException {
// Note: the type assigned to query profile and constant tensors here is not the correct type
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
- QueryProfileRegistry queryProfiles = queryProfileWith("query(q)", "tensor(x[1])");
+ QueryProfileRegistry queryProfiles = queryProfileWith("query(q)", "tensor(input[1])");
SearchBuilder builder = new SearchBuilder(rankProfileRegistry, queryProfiles);
builder.importString(
"search test {\n" +
@@ -184,19 +184,19 @@ public class RankingExpressionShadowingTestCase extends SchemaTestCase {
" }\n" +
" }\n" +
" constant W_hidden {\n" +
- " type: tensor(x[1])\n" +
+ " type: tensor(hidden[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant b_input {\n" +
- " type: tensor(x[1])\n" +
+ " type: tensor(hidden[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant W_final {\n" +
- " type: tensor(x[1])\n" +
+ " type: tensor(final[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant b_final {\n" +
- " type: tensor(x[1])\n" +
+ " type: tensor(final[1])\n" +
" file: ignored.json\n" +
" }\n" +
"}\n");