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TensorFlow: some more python3 compatibility test fixes

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Change-Id: I5678cbdfb45757e2218494f542c9b0a0d5cc16a4
This commit is contained in:
Vijay Vasudevan 2015-12-09 17:00:29 -08:00
parent 014ff10c4f
commit 8242b4dd1b
3 changed files with 5 additions and 5 deletions
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4
tensorflow/python/kernel_tests/parsing_ops_test.py
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@ -610,7 +610,7 @@ class ParseSequenceExampleTest(tf.test.TestCase):
int64_feature([5, 6, 7]),
int64_feature([8, 9, 10]),]),
"b": feature_list([
bytes_feature(["r00", "r01", "r10", "r11"])]),
bytes_feature([b"r00", b"r01", b"r10", b"r11"])]),
"c": feature_list([
float_feature([3, 4]),
float_feature([-1, 2])]),
@ -625,7 +625,7 @@ class ParseSequenceExampleTest(tf.test.TestCase):
[[5, 6, 7]],
[[8, 9, 10]]], dtype=np.int64),
"b": np.array([ # outer dimension is time, inside are 2x2 matrices
[["r00", "r01"], ["r10", "r11"]]], dtype=np.str),
[[b"r00", b"r01"], [b"r10", b"r11"]]], dtype=np.str),
"c": np.array([ # outer dimension is time, inside are 2-vectors
[3, 4],
[-1, 2]], dtype=np.float32),

2
tensorflow/python/kernel_tests/sparse_serialization_ops_test.py
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@ -95,7 +95,7 @@ class SerializeSparseTest(tf.test.TestCase):
with self.test_session(use_gpu=False) as sess:
# N == 4 because shape_value == [4, 5]
indices_value = np.array([[0, 0], [0, 1], [2, 0]], dtype=np.int64)
values_value = np.array(["a", "b", "c"])
values_value = np.array([b"a", b"b", b"c"])
shape_value = np.array([4, 5], dtype=np.int64)
sparse_tensor = self._SparseTensorPlaceholder(dtype=tf.string)
serialized = tf.serialize_many_sparse(sparse_tensor)

4
tensorflow/python/ops/image_ops_test.py
View File

@ -49,8 +49,8 @@ class RGBToHSVTest(test_util.TensorFlowTestCase):
batch1 = image_ops.rgb_to_hsv(batch0)
batch2 = image_ops.hsv_to_rgb(batch1)
split0 = array_ops.unpack(batch0)
split1 = map(image_ops.rgb_to_hsv, split0)
split2 = map(image_ops.hsv_to_rgb, split1)
split1 = list(map(image_ops.rgb_to_hsv, split0))
split2 = list(map(image_ops.hsv_to_rgb, split1))
join1 = array_ops.pack(split1)
join2 = array_ops.pack(split2)
batch1, batch2, join1, join2 = sess.run([batch1, batch2, join1, join2])