AI开发平台ModelArts-使用MoXing时，如何进行增量训练？:如果标签发生变化

时间：2023-11-01 16:16:36

AI开发平台ModelArts

如果标签发生变化

当数据集中的标签发生变化时，需要执行如下语句。此语句需在“mox.run”之前运行。

语句中的“logits”，表示根据不同网络中分类层权重的变量名，配置不同的参数。此处填写其对应的关键字。

mox.set_flag('checkpoint_exclude_patterns', 'logits')

如果使用的是MoXing内置网络，其对应的关键字需使用如下API获取。此示例将打印Resnet_v1_50的关键字，为“logits”。

import moxing.tensorflow as moxmodel_meta = mox.get_model_meta(mox.NetworkKeys.RESNET_V1_50)logits_pattern = model_meta.default_logits_patternprint(logits_pattern)

您也可以通过如下接口，获取MoXing支持的网络名称列表。

import moxing.tensorflow as moxprint(help(mox.NetworkKeys))

打印出来的示例如下所示：

Help on class NetworkKeys in module moxing.tensorflow.nets.nets_factory:class NetworkKeys(builtins.object) |  Data descriptors defined here: |   |  __dict__ |      dictionary for instance variables (if defined) |   |  __weakref__ |      list of weak references to the object (if defined) |   |  ---------------------------------------------------------------------- |  Data and other attributes defined here: |   |  ALEXNET_V2 = 'alexnet_v2' |   |  CIFARNET = 'cifarnet' |   |  INCEPTION_RESNET_V2 = 'inception_resnet_v2' |   |  INCEPTION_V1 = 'inception_v1' |   |  INCEPTION_V2 = 'inception_v2' |   |  INCEPTION_V3 = 'inception_v3' |   |  INCEPTION_V4 = 'inception_v4' |   |  LENET = 'lenet' |   |  MOBILENET_V1 = 'mobilenet_v1' |   |  MOBILENET_V1_025 = 'mobilenet_v1_025' |   |  MOBILENET_V1_050 = 'mobilenet_v1_050' |   |  MOBILENET_V1_075 = 'mobilenet_v1_075' |   |  MOBILENET_V2 = 'mobilenet_v2' |   |  MOBILENET_V2_035 = 'mobilenet_v2_035' |   |  MOBILENET_V2_140 = 'mobilenet_v2_140' |   |  NASNET_CIFAR = 'nasnet_cifar' |   |  NASNET_LARGE = 'nasnet_large' |   |  NASNET_MOBILE = 'nasnet_mobile' |   |  OVERFEAT = 'overfeat' |   |  PNASNET_LARGE = 'pnasnet_large' |   |  PNASNET_MOBILE = 'pnasnet_mobile' |   |  PVANET = 'pvanet' |   |  RESNET_V1_101 = 'resnet_v1_101' |   |  RESNET_V1_110 = 'resnet_v1_110' |   |  RESNET_V1_152 = 'resnet_v1_152' |   |  RESNET_V1_18 = 'resnet_v1_18' |   |  RESNET_V1_20 = 'resnet_v1_20' |   |  RESNET_V1_200 = 'resnet_v1_200' |   |  RESNET_V1_50 = 'resnet_v1_50' |   |  RESNET_V1_50_8K = 'resnet_v1_50_8k' |   |  RESNET_V1_50_MOX = 'resnet_v1_50_mox' |   |  RESNET_V1_50_OCT = 'resnet_v1_50_oct' |   |  RESNET_V2_101 = 'resnet_v2_101' |   |  RESNET_V2_152 = 'resnet_v2_152' |   |  RESNET_V2_200 = 'resnet_v2_200' |   |  RESNET_V2_50 = 'resnet_v2_50' |   |  RESNEXT_B_101 = 'resnext_b_101' |   |  RESNEXT_B_50 = 'resnext_b_50' |   |  RESNEXT_C_101 = 'resnext_c_101' |   |  RESNEXT_C_50 = 'resnext_c_50' |   |  VGG_16 = 'vgg_16' |   |  VGG_16_BN = 'vgg_16_bn' |   |  VGG_19 = 'vgg_19' |   |  VGG_19_BN = 'vgg_19_bn' |   |  VGG_A = 'vgg_a' |   |  VGG_A_BN = 'vgg_a_bn' |   |  XCEPTION_41 = 'xception_41' |   |  XCEPTION_65 = 'xception_65' |   |  XCEPTION_71 = 'xception_71'

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