Object/Trait

com.intel.analytics.bigdl.utils.tf

TensorflowToBigDL

Related Docs: trait TensorflowToBigDL | package tf

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object TensorflowToBigDL

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  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. val INPUT_PLACEHOLDER: String

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    Represent one input

  5. val N_INPUT_PLACEHOLDER: String

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    Represent one or many inputs.

    Represent one or many inputs. Note this can only be the first or the last of the input names

  6. val TENSOR_SEPARATOR: String

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    Separate operation name and its output tensor.

    Separate operation name and its output tensor. In tensorflow, if one operation output multiple tensors, the tensor will be referred as Op:n, which n is a integer.

  7. final def asInstanceOf[T0]: T0

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def patterns: Array[TensorflowToBigDL]

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    Get the pattern list.

  19. def registerPattern(pattern: TensorflowToBigDL): Unit

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    Register a new mapping from tensor flow operations to BigDL layer.

    Register a new mapping from tensor flow operations to BigDL layer. The mapping is defined as a subclass of TFToBigDL, which defines an operation topology(reversed graph) and how to get constructor parameters from the topology.

  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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