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tf.contrib.learn.monitors.LoggingTrainable.post_step()

tf.contrib.learn.monitors.LoggingTrainable.post_step(step, session)

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https://www.tensorflow.org/versions/master/api_docs/python/contrib.learn.monitors.html#LoggingTrainable.post_step

doc_TensorFlow

2025-01-10 15:47:30

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tf.contrib.learn.monitors.LoggingTrainable class tf.contrib.learn.monitors.LoggingTrainable Writes trainable variable values into log every N steps. Write the tensors in trainable variables e

tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step() tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step(step, session) Callback after a step is finished or end() is called. Args: step: int,

tf.contrib.learn.monitors.LoggingTrainable.step_begin() tf.contrib.learn.monitors.LoggingTrainable.step_begin(step) Overrides BaseMonitor.step_begin. When overriding this method, you must call the super i

tf.contrib.learn.monitors.LoggingTrainable.step_end() tf.contrib.learn.monitors.LoggingTrainable.step_end(step, output) Overrides BaseMonitor.step_end. When overriding this method, you must call the sup

tf.contrib.learn.monitors.LoggingTrainable.begin() tf.contrib.learn.monitors.LoggingTrainable.begin(max_steps=None) Called at the beginning of training. When called, the default graph is the one we a