com.intel.analytics.bigdl.optim

PredictionService

object PredictionService

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  6. def apply[T](model: Module[T], numThreads: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): PredictionService[T]

    In this service, concurrency is kept not greater than numThreads by a BlockingQueue, which contains available model instances.

    Thread-safe Prediction Service for Concurrent Calls

    In this service, concurrency is kept not greater than numThreads by a BlockingQueue, which contains available model instances.

    If exceptions caught during predict, a scalar Tensor[String] will be returned with thrown message.

    model

    BigDL model used to do predictions

    numThreads

    max concurrency

    returns

    a PredictionService instance

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  9. def deSerializeActivity(bytes: Array[Byte]): Activity

    For now, Tensor and Table[primitive|Tensor, Tensor] are supported.

    Deserialize Array[Byte] to activities according to Bigdl.proto.

    For now, Tensor and Table[primitive|Tensor, Tensor] are supported. It will convert AttrValue(Array(BigdlTensor)) to a Table. It will convert AttrValue(BigdlTensor) to a Tensor.

    bytes

    bytes data for Activity to be deserialized

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  19. def serializeActivity(activity: Activity): Array[Byte]

    For now, Tensor and Table[primitive|Tensor, Tensor] are supported.

    Serialize activities to Array[Byte] according to Bigdl.proto.

    For now, Tensor and Table[primitive|Tensor, Tensor] are supported.

    activity

    activity to be serialized

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