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[VAE-CF-TF] Modify result logging

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Tomasz Grel 2021-08-31 14:21:41 +02:00 committed by Krzysztof Kudrynski
parent b2f30f365f
commit 88e5298421
1 changed files with 2 additions and 9 deletions
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11
TensorFlow/Recommendation/VAE-CF/vae/models/train.py
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@ -413,15 +413,8 @@ class VAE:
dllogger.log(data=metrics_scores, step=(epoch,))
def log_final_stats(self):
data = {"total_train_time": np.sum(self.time_elapsed_training_history),
"total_valid_time": np.sum(self.time_elapsed_validation_history),
"average_train_epoch time": np.mean(self.time_elapsed_training_history),
"average_validation_time": np.mean(self.time_elapsed_validation_history),
"total_elapsed_time" : self.total_time,
"mean_training_throughput": np.mean(self.training_throughputs[10:]),
"mean_inference_throughput": np.mean(self.inference_throughputs),
"max_training_throughput": np.max(self.training_throughputs[10:]),
"max_inference_throughput": np.max(self.inference_throughputs)}
data = {"mean_training_throughput": np.mean(self.training_throughputs[10:]),
"mean_inference_throughput": np.mean(self.inference_throughputs[2:])}
for metric_name, metric_values in self.metrics_history.items():
data["final_" + metric_name] = metric_values[-1]