o

lamp.data

Writer

object Writer

Serializes tensors

This format is similar to the ONNX external tensor serialization format, but it uses JSON rather then protobuf.

Format specification

Sequences of tensors are serialized into a JSON descriptor and a data blob. The schema of the descriptor is the case class lamp.data.schemas.TensorList. The location field in this schema holds a path to the data blob. If this the location a relative POSIX then it is relative to the file path where the descriptor itself is written.

The descriptor may be embedded into larger JSON structures.

The data blob itself is the raw data in little endian byte order. Floating point is IEEE-754. The descriptor specifies the byte offset and byte length of the tensors inside the data blob. As such, the data blob contains no framing or other control bytes, but it may contain padding bytes between tensors.

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  20. def writeCheckpoint[A, B](file: File, model: GenericModule[A, B], bufferSize: Int = 16384): IO[Either[String, Unit]]
  21. def writeTensorDataAndMakeDescriptor(tensors: Seq[STen], location: String, dataChannel: WritableByteChannel, bufferSize: Int): Either[String, TensorList]
  22. def writeTensorDataIntoChannel(tensors: Seq[STen], channel: WritableByteChannel, bufferSize: Int): Either[String, Seq[(Long, Long)]]

    Returns list of (offset, length) in bytes

  23. def writeTensorsIntoFile(tensors: Seq[STen], file: File, bufferSize: Int = 16384): IO[Either[String, Unit]]

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