Timeline

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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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def generateChromeTrace(stepStatistics: StepStats, showDataFlow: Boolean = false, showMemory: Boolean = false, prettyJson: Boolean = false): String

   

   Generates a Chrome trace JSON string for visualizing execution timelines of TensorFlow steps.

   Generates a Chrome trace JSON string for visualizing execution timelines of TensorFlow steps.

   A timeline is used for visualizing the execution of a TensorFlow computation. It shows the timings and concurrency of execution at the granularity of TensorFlow ops.

   stepStatistics

   StepStats protocol buffer containing execution times.

   showDataFlow

   If true, add flow events to the trace connecting producers and consumers of tensors.

   showMemory

   If true, add object snapshot events to the trace showing sizes and lifetimes of tensors.

   prettyJson

   If true, produces human-readable JSON output.

   returns

   JSON string containing the Chrome trace.

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

    

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11. def hashCode(): Int

    

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13. val logger: Logger

    

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. val opLabelRegex: Regex

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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