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compatibility with tensorflow 1.0+. Fixes #19. #23

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compatibility with tensorflow 1.0+. Fixes #19. #23

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6 changes: 3 additions & 3 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,9 +126,9 @@ def get_loss(y, y_):
# Calculate the loss from digits being incorrect. Don't count loss from
# digits that are in non-present plates.
digits_loss = tf.nn.softmax_cross_entropy_with_logits(
tf.reshape(y[:, 1:],
logits=tf.reshape(y[:, 1:],
[-1, len(common.CHARS)]),
tf.reshape(y_[:, 1:],
labels=tf.reshape(y_[:, 1:],
[-1, len(common.CHARS)]))
digits_loss = tf.reshape(digits_loss, [-1, 7])
digits_loss = tf.reduce_sum(digits_loss, 1)
Expand All @@ -137,7 +137,7 @@ def get_loss(y, y_):

# Calculate the loss from presence indicator being wrong.
presence_loss = tf.nn.sigmoid_cross_entropy_with_logits(
y[:, :1], y_[:, :1])
logits=y[:, :1], labels=y_[:, :1])
presence_loss = 7 * tf.reduce_sum(presence_loss)

return digits_loss, presence_loss, digits_loss + presence_loss
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