Uses of Class
biopb.tensor.TensorDescriptor
Packages that use TensorDescriptor
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Uses of TensorDescriptor in biopb.tensor
Methods in biopb.tensor that return TensorDescriptorModifier and TypeMethodDescriptionTensorDescriptor.Builder.build()TensorDescriptor.Builder.buildPartial()static TensorDescriptorTensorFlightClient.descriptorOf(SerializedTensor pb) The resolved descriptor a SerializedTensor's plan names.static TensorDescriptorTensorDescriptor.getDefaultInstance()TensorDescriptor.Builder.getDefaultInstanceForType()TensorDescriptor.getDefaultInstanceForType()TensorFlightClient.getDescriptor(String arrayId) Fetch one tensor'sTensorDescriptorby its globally-unique array_id.DataSourceDescriptor.Builder.getTensors(int index) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.getTensors(int index) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptorOrBuilder.getTensors(int index) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.static TensorDescriptorTensorDescriptor.parseDelimitedFrom(InputStream input) static TensorDescriptorTensorDescriptor.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TensorDescriptorTensorDescriptor.parseFrom(byte[] data) static TensorDescriptorTensorDescriptor.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TensorDescriptorTensorDescriptor.parseFrom(com.google.protobuf.ByteString data) static TensorDescriptorTensorDescriptor.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TensorDescriptorTensorDescriptor.parseFrom(com.google.protobuf.CodedInputStream input) static TensorDescriptorTensorDescriptor.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TensorDescriptorTensorDescriptor.parseFrom(InputStream input) static TensorDescriptorTensorDescriptor.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TensorDescriptorTensorDescriptor.parseFrom(ByteBuffer data) static TensorDescriptorTensorDescriptor.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) TensorFlightClient.setupArrayUpload(String arrayId, long[] shape, String dtype, long[] chunkShape, List<String> dimLabels, String omeMetadataJson) Declare a tensor to fill: the first half of an upload.TensorFlightClient.setupArrayUpload(String arrayId, long[] shape, String dtype, long[] chunkShape, List<String> dimLabels, String omeMetadataJson, Integer ttlSeconds) <T extends net.imglib2.type.NativeType<T> & net.imglib2.type.numeric.RealType<T>>
TensorDescriptorTensorFlightClient.setupArrayUpload(String arrayId, net.imglib2.RandomAccessibleInterval<T> template, long[] chunkShape, List<String> dimLabels, String omeMetadataJson) Declare a tensor shaped like an array you already hold.Methods in biopb.tensor that return types with arguments of type TensorDescriptorModifier and TypeMethodDescriptioncom.google.protobuf.Parser<TensorDescriptor>TensorDescriptor.getParserForType()DataSourceDescriptor.Builder.getTensorsList()Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.getTensorsList()Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptorOrBuilder.getTensorsList()Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.static com.google.protobuf.Parser<TensorDescriptor>TensorDescriptor.parser()Methods in biopb.tensor with parameters of type TensorDescriptorModifier and TypeMethodDescriptionDataSourceDescriptor.Builder.addTensors(int index, TensorDescriptor value) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.DataSourceDescriptor.Builder.addTensors(TensorDescriptor value) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.TensorDescriptor.Builder.mergeFrom(TensorDescriptor other) static TensorDescriptor.BuilderTensorDescriptor.newBuilder(TensorDescriptor prototype) DataSourceDescriptor.Builder.setTensors(int index, TensorDescriptor value) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.TensorFlightClient.uploadArray(TensorDescriptor descriptor, net.imglib2.RandomAccessibleInterval<T> array) Fill a declared tensor with an array, and seal it.<T extends net.imglib2.type.NativeType<T> & net.imglib2.type.numeric.RealType<T>>
voidTensorFlightClient.uploadChunk(TensorDescriptor descriptor, ChunkBounds bounds, net.imglib2.RandomAccessibleInterval<T> source) Upload one chunk of a declared tensor.Method parameters in biopb.tensor with type arguments of type TensorDescriptorModifier and TypeMethodDescriptionDataSourceDescriptor.Builder.addAllTensors(Iterable<? extends TensorDescriptor> values) Every tensor in this source, as a STRUCTURAL catalog entry: array_id, dim_labels, shape, dtype.