GraphModifierHook
Hook class for automatic graph modification, which is used only in Estimator Training mode. After the hook class is added, the automatic graph modification function is enabled.
Parameter |
Data Type |
Mandatory/Optional |
Description |
|---|---|---|---|
dump_graph |
bool |
Optional |
Whether to save the current TensorFlow computational graph. The default value is False. |
modify_graph |
bool |
Optional |
Whether to enable the automatic graph modification function. The default value is True. |
Example
from mx_rec.graph.modifier import GraphModifierHook
# Define the data processing function.
def input_fn():
pass
est.train(input_fn=lambda: input_fn(), hooks=[GraphModifierHook()]) # est is the created NPUEstimator object.
Parent topic: Class Reference