Uses of Class
biopb.tensor.TensorDescriptor.Builder
Packages that use TensorDescriptor.Builder
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Uses of TensorDescriptor.Builder in biopb.tensor
Methods in biopb.tensor that return TensorDescriptor.BuilderModifier and TypeMethodDescriptionTensorDescriptor.Builder.addAllChunkShape(Iterable<? extends Long> values) Nominal transfer chunk size per dimension (actual may vary for edge chunks).TensorDescriptor.Builder.addAllDimLabels(Iterable<String> values) Maps dimension index to semantic label (e.g., ["z", "y", "x"])TensorDescriptor.Builder.addAllPhysicalScale(Iterable<? extends Double> values) Per-dimension physical pixel size, aligned 1:1 with dim_labels/shape (same length and order).TensorDescriptor.Builder.addAllPhysicalUnit(Iterable<String> values) Per-dimension unit string for physical_scale (e.g.TensorDescriptor.Builder.addAllPyramid(Iterable<? extends PyramidLevel> values) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.addAllScaleHint(Iterable<? extends Long> values) Per-dimension integer downsampling factors for virtual/scaled reads.TensorDescriptor.Builder.addAllShape(Iterable<? extends Long> values) Full array shape (per dimension)TensorDescriptor.Builder.addChunkShape(long value) Nominal transfer chunk size per dimension (actual may vary for edge chunks).TensorDescriptor.Builder.addDimLabels(String value) Maps dimension index to semantic label (e.g., ["z", "y", "x"])TensorDescriptor.Builder.addDimLabelsBytes(com.google.protobuf.ByteString value) Maps dimension index to semantic label (e.g., ["z", "y", "x"])TensorDescriptor.Builder.addPhysicalScale(double value) Per-dimension physical pixel size, aligned 1:1 with dim_labels/shape (same length and order).TensorDescriptor.Builder.addPhysicalUnit(String value) Per-dimension unit string for physical_scale (e.g.TensorDescriptor.Builder.addPhysicalUnitBytes(com.google.protobuf.ByteString value) Per-dimension unit string for physical_scale (e.g.TensorDescriptor.Builder.addPyramid(int index, PyramidLevel value) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.addPyramid(int index, PyramidLevel.Builder builderForValue) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.addPyramid(PyramidLevel value) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.addPyramid(PyramidLevel.Builder builderForValue) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) TensorDescriptor.Builder.addScaleHint(long value) Per-dimension integer downsampling factors for virtual/scaled reads.TensorDescriptor.Builder.addShape(long value) Full array shape (per dimension)DataSourceDescriptor.Builder.addTensorsBuilder()Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.Builder.addTensorsBuilder(int index) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.TensorDescriptor.Builder.clear()TensorDescriptor.Builder.clearArrayId()Globally-unique tensor identifier and primary key (see the tensor identity policy above).TensorDescriptor.Builder.clearChunkShape()Nominal transfer chunk size per dimension (actual may vary for edge chunks).TensorDescriptor.Builder.clearContentVersion()Opaque per-source generation token, sampled once at (re-)registration (biopb/biopb#178): the stat signature `mtime_ns:size` for a file/dir source, `iat:<ts>` for a caching proxy's mirror.TensorDescriptor.Builder.clearDimLabels()Maps dimension index to semantic label (e.g., ["z", "y", "x"])TensorDescriptor.Builder.clearDtype()Element dtype (numpy-style, e.g., "uint8", "float32", "float64")TensorDescriptor.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) TensorDescriptor.Builder.clearIsResident()Whether this source's bytes are local and cheap to read *right now*.TensorDescriptor.Builder.clearMetadataJson()Opaque JSON metadata compatible with OME-NGFF (.zattrs schema).TensorDescriptor.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) TensorDescriptor.Builder.clearPhysicalScale()Per-dimension physical pixel size, aligned 1:1 with dim_labels/shape (same length and order).TensorDescriptor.Builder.clearPhysicalUnit()Per-dimension unit string for physical_scale (e.g.TensorDescriptor.Builder.clearPyramid()Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.clearReductionMethod()Dynamic reduction/downsampling method for scaled reads: "nearest", "area", or "precompute" (serve a native on-disk pyramid level).TensorDescriptor.Builder.clearScaleHint()Per-dimension integer downsampling factors for virtual/scaled reads.TensorDescriptor.Builder.clearShape()Full array shape (per dimension)TensorDescriptor.Builder.clearSliceHint()Optional slice hint - if provided, GetFlightInfo returns only chunks covering this range.TensorDescriptor.Builder.clearTtlSeconds()How long the server keeps this tensor, in seconds from `add_tensor`.TensorDescriptor.Builder.clearUploadStatus()How far the upload backing this tensor has got, when one does; unset for every ordinary (file-backed) source.TensorDescriptor.Builder.clone()DataSourceDescriptor.Builder.getTensorsBuilder(int index) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.TensorDescriptor.Builder.mergeFrom(TensorDescriptor other) TensorDescriptor.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) TensorDescriptor.Builder.mergeFrom(com.google.protobuf.Message other) TensorDescriptor.Builder.mergeSliceHint(SliceHint value) Optional slice hint - if provided, GetFlightInfo returns only chunks covering this range.final TensorDescriptor.BuilderTensorDescriptor.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) TensorDescriptor.Builder.mergeUploadStatus(UploadStatus value) How far the upload backing this tensor has got, when one does; unset for every ordinary (file-backed) source.static TensorDescriptor.BuilderTensorDescriptor.newBuilder()static TensorDescriptor.BuilderTensorDescriptor.newBuilder(TensorDescriptor prototype) TensorDescriptor.newBuilderForType()protected TensorDescriptor.BuilderTensorDescriptor.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) TensorDescriptor.Builder.removePyramid(int index) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.setArrayId(String value) Globally-unique tensor identifier and primary key (see the tensor identity policy above).TensorDescriptor.Builder.setArrayIdBytes(com.google.protobuf.ByteString value) Globally-unique tensor identifier and primary key (see the tensor identity policy above).TensorDescriptor.Builder.setChunkShape(int index, long value) Nominal transfer chunk size per dimension (actual may vary for edge chunks).TensorDescriptor.Builder.setContentVersion(com.google.protobuf.ByteString value) Opaque per-source generation token, sampled once at (re-)registration (biopb/biopb#178): the stat signature `mtime_ns:size` for a file/dir source, `iat:<ts>` for a caching proxy's mirror.TensorDescriptor.Builder.setDimLabels(int index, String value) Maps dimension index to semantic label (e.g., ["z", "y", "x"])Element dtype (numpy-style, e.g., "uint8", "float32", "float64")TensorDescriptor.Builder.setDtypeBytes(com.google.protobuf.ByteString value) Element dtype (numpy-style, e.g., "uint8", "float32", "float64")TensorDescriptor.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) TensorDescriptor.Builder.setIsResident(boolean value) Whether this source's bytes are local and cheap to read *right now*.TensorDescriptor.Builder.setMetadataJson(String value) Opaque JSON metadata compatible with OME-NGFF (.zattrs schema).TensorDescriptor.Builder.setMetadataJsonBytes(com.google.protobuf.ByteString value) Opaque JSON metadata compatible with OME-NGFF (.zattrs schema).TensorDescriptor.Builder.setPhysicalScale(int index, double value) Per-dimension physical pixel size, aligned 1:1 with dim_labels/shape (same length and order).TensorDescriptor.Builder.setPhysicalUnit(int index, String value) Per-dimension unit string for physical_scale (e.g.TensorDescriptor.Builder.setPyramid(int index, PyramidLevel value) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.setPyramid(int index, PyramidLevel.Builder builderForValue) Server-advertised resolution pyramid: the ordered levels the server recommends reading this tensor at, coarsest decision made server-side so native (precomputed) pyramids are honored and the precache worker and client request the same scales.TensorDescriptor.Builder.setReductionMethod(String value) Dynamic reduction/downsampling method for scaled reads: "nearest", "area", or "precompute" (serve a native on-disk pyramid level).TensorDescriptor.Builder.setReductionMethodBytes(com.google.protobuf.ByteString value) Dynamic reduction/downsampling method for scaled reads: "nearest", "area", or "precompute" (serve a native on-disk pyramid level).TensorDescriptor.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) TensorDescriptor.Builder.setScaleHint(int index, long value) Per-dimension integer downsampling factors for virtual/scaled reads.TensorDescriptor.Builder.setShape(int index, long value) Full array shape (per dimension)TensorDescriptor.Builder.setSliceHint(SliceHint value) Optional slice hint - if provided, GetFlightInfo returns only chunks covering this range.TensorDescriptor.Builder.setSliceHint(SliceHint.Builder builderForValue) Optional slice hint - if provided, GetFlightInfo returns only chunks covering this range.TensorDescriptor.Builder.setTtlSeconds(int value) How long the server keeps this tensor, in seconds from `add_tensor`.final TensorDescriptor.BuilderTensorDescriptor.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) TensorDescriptor.Builder.setUploadStatus(UploadStatus value) How far the upload backing this tensor has got, when one does; unset for every ordinary (file-backed) source.TensorDescriptor.Builder.setUploadStatus(UploadStatus.Builder builderForValue) How far the upload backing this tensor has got, when one does; unset for every ordinary (file-backed) source.TensorDescriptor.toBuilder()Methods in biopb.tensor that return types with arguments of type TensorDescriptor.BuilderModifier and TypeMethodDescriptionDataSourceDescriptor.Builder.getTensorsBuilderList()Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.Methods in biopb.tensor with parameters of type TensorDescriptor.BuilderModifier and TypeMethodDescriptionDataSourceDescriptor.Builder.addTensors(int index, TensorDescriptor.Builder builderForValue) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.Builder.addTensors(TensorDescriptor.Builder builderForValue) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.Builder.setTensors(int index, TensorDescriptor.Builder builderForValue) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.