Comments (1)
roadjiang
commented on May 1, 2024
The detailed model configuration is described in https://github.com/google/mentornet/blob/master/code/resnet_model.py
and you can use the following code to print the #model parameters:
param_stats = tf.contrib.tfprof.model_analyzer.print_model_analysis(
tf.get_default_graph(),
tfprof_options=tf.contrib.tfprof.model_analyzer. TRAINABLE_VARS_PARAMS_STAT_OPTIONS)
logging.info('total_params: %d\n', param_stats.total_parameters)
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Related Issues (9)
- Code to generate the noisy data HOT 1
- QA about update curriculum(MentorNet parameter) on the code
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- Question about initialize mentornet epoch embedding HOT 1
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