abe1c5f6c0
Adds Callback methods that can be used during validation, evaluation, and prediction. PiperOrigin-RevId: 225611013
83 lines
3.0 KiB
Plaintext
83 lines
3.0 KiB
Plaintext
path: "tensorflow.keras.callbacks.ProgbarLogger"
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tf_class {
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is_instance: "<class \'tensorflow.python.keras.callbacks.ProgbarLogger\'>"
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is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
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is_instance: "<type \'object\'>"
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member_method {
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name: "__init__"
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argspec: "args=[\'self\', \'count_mode\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'samples\', \'None\'], "
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}
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member_method {
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name: "on_batch_begin"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_batch_end"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_epoch_begin"
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argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_epoch_end"
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argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_predict_batch_begin"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_predict_batch_end"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_predict_begin"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_predict_end"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_test_batch_begin"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_test_batch_end"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_test_begin"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_test_end"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_train_batch_begin"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_train_batch_end"
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argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_train_begin"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "on_train_end"
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argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "set_model"
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argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "set_params"
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argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
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}
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}
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