STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-model-checkpoint.pbtxt
Ken Franko 7a92859246 Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint.
PiperOrigin-RevId: 316973333
Change-Id: I43f5b59ece4b862db41ab0e99f3c8df0a0d3b901
2020-06-17 15:09:44 -07:00

83 lines
3.2 KiB
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path: "tensorflow.keras.callbacks.ModelCheckpoint"
tf_class {
is_instance: "<class \'tensorflow.python.keras.callbacks.ModelCheckpoint\'>"
is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'filepath\', \'monitor\', \'verbose\', \'save_best_only\', \'save_weights_only\', \'mode\', \'save_freq\', \'options\'], varargs=None, keywords=kwargs, defaults=[\'val_loss\', \'0\', \'False\', \'False\', \'auto\', \'epoch\', \'None\'], "
}
member_method {
name: "on_batch_begin"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_batch_end"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_epoch_begin"
argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_epoch_end"
argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_predict_batch_begin"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_predict_batch_end"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_predict_begin"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_predict_end"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_test_batch_begin"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_test_batch_end"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_test_begin"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_test_end"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_train_batch_begin"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_train_batch_end"
argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_train_begin"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "on_train_end"
argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "set_model"
argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "set_params"
argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
}
}