[Tensorflow] Progress bar of custom training loop

Progress bar of Tensorflow 2’s custom training loop The collection of the progress bar methods for tf.GradientTape when training model 詳細 code 請看: progress_bar_tqdm.py progress_bar_keras.py progress_bar_click.py 1. tqdm 使用 tqdm 來顯示 model training 進度, loss and accuracy,如下: train_loss = tf.keras.metrics.Mean(name='train_loss') train_accuracy = tf.keras.metrics.SparseCategoricalAccuracy(name='train_accuracy') for epoch in range(NUM_EPOCHS): n_batches = x_train.shape[0] /

[PyTorch] Various Progress Bar in PyTorch

Pytorch Progress bar The collection of the progress bar methods for PyTorch when training model 詳細 code 請看: progress_bar_tqdm.py progress_bar_keras.py progress_bar_click.py 1. tqdm 使用 tqdm 來顯示 model training 進度, loss and accuracy,如下: for epoch in range(NUM_EPOCHS): n_batches = len(train_loader) print(f'Epoch {epoch+1}/{NUM_EPOCHS}') with tqdm(train_loader, total=n_batches, bar_format='{desc:<5.5}{percentage:3.0f}%|{bar:36}{r_bar}') as pbar: for idx, (x, y)