Class

com.spotify.scio.tensorflow

TFScioContextFunctions

Related Doc: package tensorflow

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final class TFScioContextFunctions extends AnyVal

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Instance Constructors

  1. new TFScioContextFunctions(self: ScioContext)

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def getClass(): Class[_ <: AnyVal]

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  6. final def isInstanceOf[T0]: Boolean

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  7. val self: ScioContext

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  8. def tfRecordExampleFile(path: String, compression: Compression = Compression.AUTO): SCollection[Example]

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    Get an SCollection of org.tensorflow.example.Example from a TensorFlow TFRecord file encoded as serialized org.tensorflow.example.Example protocol buffers.

  9. def tfRecordFile(path: String, compression: Compression = Compression.AUTO): SCollection[Array[Byte]]

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    Get an SCollection for a TensorFlow TFRecord file.

    Get an SCollection for a TensorFlow TFRecord file. Note that TFRecord files are not splittable. The recommended record encoding is org.tensorflow.example.Example protocol buffers (which contain org.tensorflow.example.Features as a field) serialized as bytes.

  10. def toString(): String

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Deprecated Value Members

  1. def tfRecordExampleFileWithSchema(path: String, schemaFilename: String, compression: Compression = Compression.AUTO): (SCollection[Example], DistCache[Schema])

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    Get an SCollection of org.tensorflow.example.Example from a TensorFlow TFRecord file encoded as serialized org.tensorflow.example.Example protocol buffers, along with the remotely stored org.tensorflow.metadata.v0.Schema object available in a DistCache.

    Get an SCollection of org.tensorflow.example.Example from a TensorFlow TFRecord file encoded as serialized org.tensorflow.example.Example protocol buffers, along with the remotely stored org.tensorflow.metadata.v0.Schema object available in a DistCache.

    Annotations
    @deprecated
    Deprecated

    (Since version Scio 0.7.0) Schema inference will be removed. We recommend using TensorFlow Data Validation

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