def bits_err_per_seq(out, expected, nsteps):
rel_pred = predict(out, nsteps)
rel_pred = tf.Print(
rel_pred,
[tf.slice(rel_pred, [0, 0, 0], [1, -1, 1])],
"predicted",
summarize=20,
)
expected = tf.Print(
expected,
[tf.slice(expected, [0, 0, 0], [1, -1, 1])],
"expected",
summarize=20,
)
diff = rel_pred - expected
return tf.reduce_mean(tf.reduce_sum(tf.abs(diff), [1, 2]))
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