def check_decoder(logits, labels, timesteps):
with tf.variable_scope('check_decoder'):
decoded, log_prob = tf.nn.ctc_greedy_decoder(logits, timesteps)
decoded = tf.cast(decoded[0], tf.int32)
decoded = tf.sparse_tensor_to_dense(decoded)
# decoded = tf.Print(decoded, [decoded], "Decoded")
return decoded
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