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using tf.constant() in td.Composition
I got a problem recently, describe briefly as follow:
def xxx(ss):
word = [1 for _ in range(ss)]
return word
c = td.Composition(name="ccc")
with c.scope():
aa = c.input
b = tf.constant(aa)
c.output.reads(b)
res = td.InputTransform(xxx) >> c
with tf.Session() as sess:
print(res.eval(10))
running the code got "TypeError: Expected binary or unicode string, got <td.Composition.input 'ccc'>"
Any help would be greatly appreciated.
You can't mix TensorFlow expressions like "tf.constant", and block combinators like that. Block combinators operate on blocks, not tensors. TensorFlow code has to be wrapped in td.FromTensor or td.Function.
On Sun, Jan 21, 2018 at 11:50 PM, 朱雪林 [email protected] wrote:
I got a problem recently, describe briefly as follow:
`def xxx(ss): word = [1 for _ in range(ss)] return word
c = td.Composition(name="ccc") with c.scope(): aa = c.input b = tf.constant(aa) c.output.reads(b)
res = td.InputTransform(xxx) >> c
with tf.Session() as sess: print(res.eval(10)) ` running the code got TypeError: Expected binary or unicode string, got <td.Composition.input 'ccc'>
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