diff options
Diffstat (limited to 'vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java')
-rw-r--r-- | vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java index c18e9f179d6..2a55ac658b1 100644 --- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java +++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java @@ -43,7 +43,7 @@ class MixedBinaryFormat implements BinaryFormat { } private void encodeSparseDimensions(GrowableByteBuffer buffer, MixedTensor tensor) { - List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).toList(); + List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList()); buffer.putInt1_4Bytes(sparseDimensions.size()); for (TensorType.Dimension dimension : sparseDimensions) { buffer.putUtf8String(dimension.name()); @@ -51,7 +51,7 @@ class MixedBinaryFormat implements BinaryFormat { } private void encodeDenseDimensions(GrowableByteBuffer buffer, MixedTensor tensor) { - List<TensorType.Dimension> denseDimensions = tensor.type().dimensions().stream().filter(d -> d.isIndexed()).toList(); + List<TensorType.Dimension> denseDimensions = tensor.type().dimensions().stream().filter(d -> d.isIndexed()).collect(Collectors.toList()); buffer.putInt1_4Bytes(denseDimensions.size()); for (TensorType.Dimension dimension : denseDimensions) { buffer.putUtf8String(dimension.name()); @@ -71,7 +71,7 @@ class MixedBinaryFormat implements BinaryFormat { } private void encodeCells(GrowableByteBuffer buffer, MixedTensor tensor, Consumer<Double> consumer) { - List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).toList(); + List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList()); long denseSubspaceSize = tensor.denseSubspaceSize(); if (sparseDimensions.size() > 0) { buffer.putInt1_4Bytes((int)(tensor.size() / denseSubspaceSize)); // XXX: Size truncation @@ -137,7 +137,7 @@ class MixedBinaryFormat implements BinaryFormat { } private void decodeCells(GrowableByteBuffer buffer, MixedTensor.BoundBuilder builder, TensorType type, Supplier<Double> supplier) { - List<TensorType.Dimension> sparseDimensions = type.dimensions().stream().filter(d -> !d.isIndexed()).toList(); + List<TensorType.Dimension> sparseDimensions = type.dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList()); TensorType sparseType = MixedTensor.createPartialType(type.valueType(), sparseDimensions); long denseSubspaceSize = builder.denseSubspaceSize(); |