TensorflowToBigDL

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. val INPUT_PLACEHOLDER: String

   Represent one input

7. val N_INPUT_PLACEHOLDER: String

   Represent one or many inputs.

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

8. val TENSOR_SEPARATOR: String

   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.

9. final def asInstanceOf[T0]: T0

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10. def clone(): AnyRef

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11. var dataFormat: String

12. def dataNCHW: Unit

13. final def eq(arg0: AnyRef): Boolean

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14. def equals(arg0: Any): Boolean

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15. def finalize(): Unit

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

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17. def hashCode(): Int

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18. final def isInstanceOf[T0]: Boolean

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

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20. final def notify(): Unit

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21. final def notifyAll(): Unit

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22. def patterns: Array[TensorflowToBigDL]

    Get the pattern list.

    Get the pattern list.

    returns

23. def registerPattern(pattern: TensorflowToBigDL): Unit

    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.

    pattern

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

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25. def toString(): String

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26. final def wait(): Unit

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

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

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