tensorflow cast tf.int32 to tf.string in version suitable for Google cloud ml-engine
I would like to convert a tensor of type tf.int32 to one of type tf.string.
Thanks to this answer I know that in version 1.12 I can use tf.strings.format:
import tensorflow as tf
x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('{}', xi), x, dtype=tf.string)
with tf.Session() as sess:
res = sess.run(x_as_string)
print(res)
# [b'1' b'2' b'3']
But i would like to do this operation on Google cloud ml-engine which (today) only supports up to version 1.10.
Is there an alternative operation I can use in an earlier version of tensorflow?
Or, alternatively, is there anyway to use the new version of TensorFlow in Google cloud ml-engine?
python tensorflow google-cloud-ml
add a comment |
I would like to convert a tensor of type tf.int32 to one of type tf.string.
Thanks to this answer I know that in version 1.12 I can use tf.strings.format:
import tensorflow as tf
x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('{}', xi), x, dtype=tf.string)
with tf.Session() as sess:
res = sess.run(x_as_string)
print(res)
# [b'1' b'2' b'3']
But i would like to do this operation on Google cloud ml-engine which (today) only supports up to version 1.10.
Is there an alternative operation I can use in an earlier version of tensorflow?
Or, alternatively, is there anyway to use the new version of TensorFlow in Google cloud ml-engine?
python tensorflow google-cloud-ml
add a comment |
I would like to convert a tensor of type tf.int32 to one of type tf.string.
Thanks to this answer I know that in version 1.12 I can use tf.strings.format:
import tensorflow as tf
x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('{}', xi), x, dtype=tf.string)
with tf.Session() as sess:
res = sess.run(x_as_string)
print(res)
# [b'1' b'2' b'3']
But i would like to do this operation on Google cloud ml-engine which (today) only supports up to version 1.10.
Is there an alternative operation I can use in an earlier version of tensorflow?
Or, alternatively, is there anyway to use the new version of TensorFlow in Google cloud ml-engine?
python tensorflow google-cloud-ml
I would like to convert a tensor of type tf.int32 to one of type tf.string.
Thanks to this answer I know that in version 1.12 I can use tf.strings.format:
import tensorflow as tf
x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('{}', xi), x, dtype=tf.string)
with tf.Session() as sess:
res = sess.run(x_as_string)
print(res)
# [b'1' b'2' b'3']
But i would like to do this operation on Google cloud ml-engine which (today) only supports up to version 1.10.
Is there an alternative operation I can use in an earlier version of tensorflow?
Or, alternatively, is there anyway to use the new version of TensorFlow in Google cloud ml-engine?
python tensorflow google-cloud-ml
python tensorflow google-cloud-ml
asked Nov 16 at 0:02
Stewart_R
4,20942247
4,20942247
add a comment |
add a comment |
1 Answer
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votes
tf.as_string should work to convert ints to strings.
add a comment |
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1 Answer
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1 Answer
1
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oldest
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active
oldest
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active
oldest
votes
tf.as_string should work to convert ints to strings.
add a comment |
tf.as_string should work to convert ints to strings.
add a comment |
tf.as_string should work to convert ints to strings.
tf.as_string should work to convert ints to strings.
answered Nov 16 at 1:09
rhaertel80
5,88111532
5,88111532
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