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com.intel.analytics.bigdl.utils.tf

TensorflowLoader

object TensorflowLoader

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  5. def checkpoints[T](graphFile: String, binFile: String, byteOrder: ByteOrder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Session[T]
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  13. def load[T](graphPrototxt: String, inputs: Seq[String], outputs: Seq[String], byteOrder: ByteOrder, binFile: Option[String] = None, generatedBackward: Boolean = true)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Module[T]

    Load tensorflow model from a prototxt file

    Load tensorflow model from a prototxt file

    graphPrototxt

    where is the tensorflow protobuf file

    inputs

    input node names, where feed in the data. You can feed data into an internal node. If the internal node has multiple dependency, you can use name:n to specify which dependency you choose to feed

    outputs

    output node names

    byteOrder

    file byteOrder

    generatedBackward

    if generate backward graph

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