experiments/STT-tensorflow
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Fix docstring so that code is formatted properly.

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I think missing newline makes the public documentation have garbled code snippets.

PiperOrigin-RevId: 293612163
Change-Id: Ia2664680a9a62142fbfe6f82c267d8d8204fdc0a
This commit is contained in:
Anudhyan Boral 2020-02-06 09:45:41 -08:00 committed by TensorFlower Gardener
parent 6a72b2d95d
commit 91a3741164
1 changed files with 5 additions and 2 deletions
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7
tensorflow/python/ops/tensor_array_ops.py
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@ -950,7 +950,8 @@ class TensorArray(object):
`while_loop` and `map_fn`. It supports gradient back-propagation via special `while_loop` and `map_fn`. It supports gradient back-propagation via special
"flow" control flow dependencies. "flow" control flow dependencies.
Example 1: plain reading and writing. Example 1: Plain reading and writing.
>>> ta = tf.TensorArray(tf.float32, size=0, dynamic_size=True, clear_after_read=False) >>> ta = tf.TensorArray(tf.float32, size=0, dynamic_size=True, clear_after_read=False)
>>> ta = ta.write(0, 10) >>> ta = ta.write(0, 10)
>>> ta = ta.write(1, 20) >>> ta = ta.write(1, 20)
@ -967,6 +968,7 @@ class TensorArray(object):
dtype=float32)> dtype=float32)>
Example 2: Fibonacci sequence algorithm that writes in a loop then returns. Example 2: Fibonacci sequence algorithm that writes in a loop then returns.
>>> @tf.function >>> @tf.function
... def fibonacci(n): ... def fibonacci(n):
... ta = tf.TensorArray(tf.float32, size=0, dynamic_size=True) ... ta = tf.TensorArray(tf.float32, size=0, dynamic_size=True)
@ -981,7 +983,8 @@ class TensorArray(object):
<tf.Tensor: shape=(7,), dtype=float32, <tf.Tensor: shape=(7,), dtype=float32,
numpy=array([0., 1., 1., 2., 3., 5., 8.], dtype=float32)> numpy=array([0., 1., 1., 2., 3., 5., 8.], dtype=float32)>
Example 3: A simple loop interacting with a tf.Variable. Example 3: A simple loop interacting with a `tf.Variable`.
>>> v = tf.Variable(1) >>> v = tf.Variable(1)
>>> >>>
>>> @tf.function >>> @tf.function