tf.tuple | TensorFlow v2.16.1 (original) (raw)
tf.tuple
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Groups tensors together.
tf.tuple(
tensors, control_inputs=None, name=None
)
The returned tensors have the same value as the input tensors, but they are computed only after all the input tensors have been computed.
See also tf.group and tf.control_dependencies.
Example:
with tf.Graph().as_default():
with tf.compat.v1.Session() as sess:
v = tf.Variable(0.0)
a = tf.constant(1.0)
sess.run(tf.compat.v1.global_variables_initializer())
for i in range(5):
update_op = v.assign_add(1.0)
b = a + v
res_b = sess.run(b)
res_v = sess.run(v)
print(res_v)
0.0
0.0
0.0
0.0
0.0
with tf.Graph().as_default():
with tf.compat.v1.Session() as sess:
v = tf.Variable(0.0)
a = tf.constant(1.0)
sess.run(tf.compat.v1.global_variables_initializer())
for i in range(5):
update_op = v.assign_add(1.0)
calc = [a + v]
# `tf.tuple` ensures `update_op` is run before `b`
b = tf.tuple(calc, [tf.group(update_op)])
res_b = sess.run(b)
res_v = sess.run(v)
print(res_v)
1.0
2.0
3.0
4.0
5.0
| Args | |
|---|---|
| tensors | A list of Tensors or IndexedSlices, some entries can be None. |
| control_inputs | List of additional ops to finish before returning. |
| name | (optional) A name to use as a name_scope for the operation. |
| Returns |
|---|
| Same as tensors. |
| Raises | |
|---|---|
| ValueError | If tensors does not contain any Tensor or IndexedSlices. |
| TypeError | If control_inputs is not a list of Operation or Tensorobjects. |
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Last updated 2024-04-26 UTC.