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"""Tests for DecodeRaw op from parsing_ops."""
import tensorflow.python.platform
import tensorflow as tf
class DecodeRawOpTest(tf.test.TestCase):
def testToUint8(self):
with self.test_session():
in_bytes = tf.placeholder(tf.string, shape=[2])
decode = tf.decode_raw(in_bytes, out_type=tf.uint8)
self.assertEqual([2, None], decode.get_shape().as_list())
result = decode.eval(feed_dict={in_bytes: ["A", "a"]})
self.assertAllEqual([[ord("A")], [ord("a")]], result)
result = decode.eval(feed_dict={in_bytes: ["wer", "XYZ"]})
self.assertAllEqual([[ord("w"), ord("e"), ord("r")],
[ord("X"), ord("Y"), ord("Z")]], result)
with self.assertRaisesOpError(
"DecodeRaw requires input strings to all be the same size, but "
"element 1 has size 5 != 6"):
decode.eval(feed_dict={in_bytes: ["short", "longer"]})
def testToInt16(self):
with self.test_session():
in_bytes = tf.placeholder(tf.string, shape=[None])
decode = tf.decode_raw(in_bytes, out_type=tf.int16)
self.assertEqual([None, None], decode.get_shape().as_list())
result = decode.eval(feed_dict={in_bytes: ["AaBC"]})
self.assertAllEqual([[ord("A") + ord("a") * 256,
ord("B") + ord("C") * 256]], result)
with self.assertRaisesOpError(
"Input to DecodeRaw has length 3 that is not a multiple of 2, the "
"size of int16"):
decode.eval(feed_dict={in_bytes: ["123", "456"]})
if __name__ == "__main__":
tf.test.main()
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