1 files changed, 0 insertions, 54 deletions
diff --git a/searchlib/src/vespa/searchlib/tensor/direct_tensor_saver.cpp b/searchlib/src/vespa/searchlib/tensor/direct_tensor_saver.cpp
deleted file mode 100644
index 0de4491cfcc..00000000000
--- a/searchlib/src/vespa/searchlib/tensor/direct_tensor_saver.cpp
+++ /dev/null
@@ -1,54 +0,0 @@
-// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-
-#include "direct_tensor_saver.h"
-#include "direct_tensor_store.h"
-
-#include <vespa/eval/eval/value_codec.h>
-#include <vespa/searchlib/attribute/iattributesavetarget.h>
-#include <vespa/searchlib/util/bufferwriter.h>
-#include <vespa/vespalib/objects/nbostream.h>
-
-using vespalib::GenerationHandler;
-
-namespace search::tensor {
-
-DirectTensorAttributeSaver::
-DirectTensorAttributeSaver(GenerationHandler::Guard &&guard,
-                            const attribute::AttributeHeader &header,
-                            RefCopyVector &&refs,
-                            const DirectTensorStore &tensorStore)
-    : AttributeSaver(std::move(guard), header),
-      _refs(std::move(refs)),
-      _tensorStore(tensorStore)
-{
-}
-
-
-DirectTensorAttributeSaver::~DirectTensorAttributeSaver()
-{
-}
-
-bool
-DirectTensorAttributeSaver::onSave(IAttributeSaveTarget &saveTarget)
-{
-    auto datWriter = saveTarget.datWriter().allocBufferWriter();
-    const uint32_t docIdLimit(_refs.size());
-    vespalib::nbostream stream;
-    for (uint32_t lid = 0; lid < docIdLimit; ++lid) {
-        const vespalib::eval::Value *tensor = _tensorStore.get_tensor_ptr(_refs[lid]);
-        if (tensor) {
-            stream.clear();
-            encode_value(*tensor, stream);
-            uint32_t sz = stream.size();
-            datWriter->write(&sz, sizeof(sz));
-            datWriter->write(stream.peek(), stream.size());
-        } else {
-            uint32_t sz = 0;
-            datWriter->write(&sz, sizeof(sz));
-        }
-    }
-    datWriter->flush();
-    return true;
-}
-
-}  // namespace search::tensor