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Improve training messages #8

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7208680
Remove unnecessary tf.flags string
GabrielMajeri Aug 10, 2019
ba95d11
Improve report messages
GabrielMajeri Aug 10, 2019
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20 changes: 9 additions & 11 deletions nncompress/embed_compress.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,11 +13,6 @@
else:
from tensorflow.python.ops.rnn_cell_impl import _linear



tf.flags.DEFINE_string('qmats', "data/glove.6B.300d.quant.npy", "output")


class EmbeddingCompressor(object):

_TAU = 1.0
Expand Down Expand Up @@ -200,12 +195,15 @@ def train(self, embed_matrix, max_epochs=200):
report_token = "*"
best_loss = valid_loss
saver.save(sess, self._model_path)
print("[epoch{}] trian_loss={:.2f} train_maxp={:.2f} valid_loss={:.2f} valid_maxp={:.2f} bps={:.0f} {}".format(
epoch,
np.mean(train_loss_list), np.mean(train_maxp_list),
np.mean(valid_loss_list), np.mean(valid_maxp_list),
len(train_loss_list) / time_elapsed,
report_token
print("[Epoch {}/{}] Train loss={:.4f} Train maxp={:.4f}".format(
epoch, max_epochs,
np.mean(train_loss_list), np.mean(train_maxp_list)
))
print("\tValidation loss={:.4f} Validation maxp={:.4f}".format(
np.mean(valid_loss_list), np.mean(valid_maxp_list)
))
print("\tBatches per second={:.0f} {}".format(
len(train_loss_list) / time_elapsed, report_token
))
print("Training Done")

Expand Down