Object/Class

ml.dmlc.mxnet.module

Module

Related Docs: class Module | package module

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object Module

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  12. def loadCheckpoint(prefix: String, epoch: Int, loadOptimizerStates: Boolean = false, dataNames: IndexedSeq[String] = IndexedSeq("data"), labelNames: IndexedSeq[String] = IndexedSeq("softmax_label"), contexts: Array[Context] = Context.cpu(), workLoadList: Option[IndexedSeq[Float]] = None, fixedParamNames: Option[Set[String]] = None): Module

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    Create a model from previously saved checkpoint.

    Create a model from previously saved checkpoint.

    prefix

    Path prefix of saved model files. You should have "prefix-symbol.json", "prefix-xxxx.params", and optionally "prefix-xxxx.states", where xxxx is the epoch number.

    epoch

    Epoch to load.

    loadOptimizerStates

    Whether to load optimizer states. Checkpoint needs to have been made with saveOptimizerStates=True

    dataNames

    Input data names.

    labelNames

    Input label names

    contexts

    Default is cpu().

    workLoadList

    Default None, indicating uniform workload.

    fixedParamNames

    Default None, indicating no network parameters are fixed.

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