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-rw-r--r--vespalib/src/vespa/vespalib/tensor/tensor_mapper.h43
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diff --git a/vespalib/src/vespa/vespalib/tensor/tensor_mapper.h b/vespalib/src/vespa/vespalib/tensor/tensor_mapper.h
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index e0394fbd3f7..00000000000
--- a/vespalib/src/vespa/vespalib/tensor/tensor_mapper.h
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@@ -1,43 +0,0 @@
-// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-
-#pragma once
-
-#include <vespa/vespalib/eval/value_type.h>
-
-namespace vespalib {
-namespace tensor {
-
-class Tensor;
-
-/**
- * Class to map a tensor to a given tensor type. Dimensions in input
- * tensor not present in tensor type are ignored. Dimensions in tensor
- * type not present in input tensor gets default label (undefined
- * (empty string) for sparse tensors, 0 for dense tensors). Values are
- * accumulated for identical mapped addresses.
- *
- * Dense tensor type has further restrictions: label must contain only
- * numerical digits (0-9). Empty string equals 0. If the label is
- * parsed to a value outside the dimension range or the parsing fails,
- * then the cell ((address, value) pair) is ignored.
- */
-class TensorMapper
-{
- eval::ValueType _type;
-public:
- TensorMapper(const eval::ValueType &type);
- ~TensorMapper();
-
- template <typename TensorT>
- static std::unique_ptr<Tensor>
- mapToSparse(const Tensor &tensor, const eval::ValueType &type);
-
- static std::unique_ptr<Tensor>
- mapToDense(const Tensor &tensor, const eval::ValueType &type);
-
- std::unique_ptr<Tensor> map(const Tensor &tensor) const;
-};
-
-
-} // namespace vespalib::tensor
-} // namespace vespalib