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com.intel.analytics.bigdl.utils.caffe

CaffeLoader

Related Docs: object CaffeLoader | package caffe

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class CaffeLoader[T] extends AnyRef

An utility to load pre-trained caffe model from prototxt and binary and convert it to BigDL equivalent modules

T

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Instance Constructors

  1. new CaffeLoader(prototxtPath: String, modelPath: String, matchAll: Boolean = true, customizedConverters: HashMap[String, Customizable[T]] = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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    prototxtPath

    caffe model define prototxt path

    modelPath

    caffe serialized binary model path

    matchAll

    if match all modules with parameters

    customizedConverters

    customized converter

Value Members

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  6. def createCaffeModel(outputNames: Array[String] = Array[String]()): (Module[T], ParallelCriterion[T])

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    Load caffe model from prototxt file and binary pre-trained model and converted to BigDL graph module

    Load caffe model from prototxt file and binary pre-trained model and converted to BigDL graph module

    outputNames

    additional output layer names besides the default(layers without next nodes)

    returns

    BigDL model and criterion

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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