Package

com.intel.analytics.bigdl.nn

tf

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package tf

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Type Members

  1. class BiasAdd[T] extends AbstractModule[Table, Tensor[T], T]

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  2. sealed abstract class ControlOps[T] extends Operation[Activity, Activity, T]

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    Control flow related operations

    Control flow related operations

    T

    Numeric type of parameter(e.g. weight, bias). Only support float/double now

  3. abstract class IdentityControl[T] extends ControlOps[T]

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    Control flow related operations, and they just pass the input without modifying them

    Control flow related operations, and they just pass the input without modifying them

    T

    Numeric type of parameter(e.g. weight, bias). Only support float/double now

  4. class Log1p[T, D] extends AbstractModule[Tensor[D], Tensor[D], T]

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    The Log module applies a log transformation to the input data

    The Log module applies a log transformation to the input data

    Annotations
    @SerialVersionUID()
  5. sealed class MergeControlNode[T] extends Node[T]

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    A wrapper of node for merge operation.

    A wrapper of node for merge operation.

    T

    element type

  6. class SqrtGrad[T, D] extends Operation[Table, Tensor[D], T]

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  7. sealed class SwitchControlNode[T] extends Node[T]

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    A wrapper of node for switch operation.

    A wrapper of node for switch operation. Make code easy to read.

    T

    element type

  8. class TensorModuleWrapper[T, D] extends AbstractModule[Tensor[D], Tensor[D], T]

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    The AbstractModule[Tensor[D], Tensor[D], T] that takes a TensorModule[D] to enable the computation of D typed data in a module with numeric type of T.

Value Members

  1. object Abs

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  2. object BiasAdd extends Serializable

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  3. object Clamp

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  4. object ELU

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  5. object Log

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  6. object Log1p extends Serializable

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  7. object Mean

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  8. object Power

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  9. object ReLU6

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  10. object SoftPlus

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  11. object SoftSign

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  12. object SqrtGrad extends Serializable

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  13. object TensorModuleWrapper extends Serializable

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