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-rw-r--r--config-model/src/test/derived/globalphase_token_functions/rank-profiles.cfg4
-rw-r--r--config-model/src/test/derived/globalphase_token_functions/test.sd5
2 files changed, 7 insertions, 2 deletions
diff --git a/config-model/src/test/derived/globalphase_token_functions/rank-profiles.cfg b/config-model/src/test/derived/globalphase_token_functions/rank-profiles.cfg
index 33381060178..bf47dba9a71 100644
--- a/config-model/src/test/derived/globalphase_token_functions/rank-profiles.cfg
+++ b/config-model/src/test/derived/globalphase_token_functions/rank-profiles.cfg
@@ -32,9 +32,11 @@ rankprofile[].fef.property[].value "tensor<float>(d0[1],d1[128])"
rankprofile[].fef.property[].name "vespa.rank.globalphase"
rankprofile[].fef.property[].value "rankingExpression(globalphase)"
rankprofile[].fef.property[].name "rankingExpression(globalphase).rankingScript"
-rankprofile[].fef.property[].value "onnx(my_ranking_model).score{d0:0}"
+rankprofile[].fef.property[].value "onnx(my_ranking_model).score{d0:(attribute(outputidx))}"
rankprofile[].fef.property[].name "vespa.match.feature"
rankprofile[].fef.property[].value "attribute(tokens)"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(outputidx)"
rankprofile[].fef.property[].name "vespa.globalphase.rerankcount"
rankprofile[].fef.property[].value "1000"
rankprofile[].fef.property[].name "vespa.type.attribute.tokens"
diff --git a/config-model/src/test/derived/globalphase_token_functions/test.sd b/config-model/src/test/derived/globalphase_token_functions/test.sd
index f8cc8863ad1..a1d14258aab 100644
--- a/config-model/src/test/derived/globalphase_token_functions/test.sd
+++ b/config-model/src/test/derived/globalphase_token_functions/test.sd
@@ -8,6 +8,9 @@ schema test {
field tokens type tensor(d0[128]) {
indexing: attribute
}
+ field outputidx type double {
+ indexing: attribute
+ }
}
fieldset default {
fields: title
@@ -35,7 +38,7 @@ schema test {
}
global-phase {
rerank-count: 1000
- expression: onnx(my_ranking_model).score{d0:0}
+ expression: onnx(my_ranking_model).score{d0:attribute(outputidx)}
}
}