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Added examples to tf.clip_by_value #29774

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merged 4 commits into from
Jun 25, 2019
Merged

Added examples to tf.clip_by_value #29774

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e426458
Added examples to tf.clip_by_value
jvishnuvardhan Jun 14, 2019
4b5af2e
Update clip_ops.py
jvishnuvardhan Jun 14, 2019
d586742
Update clip_ops.py
jvishnuvardhan Jun 20, 2019
8c4972b
Update clip_ops.py
jvishnuvardhan Jun 20, 2019
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11 changes: 11 additions & 0 deletions tensorflow/python/ops/clip_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,15 @@ def clip_by_value(t, clip_value_min, clip_value_max,
Note: `clip_value_min` needs to be smaller or equal to `clip_value_max` for
correct results.

For example:

```python
A = tf.constant([[1, 20, 13], [3, 21, 13]])
B = tf.clip_by_value(A, clip_value_min=0, clip_value_max=3) # [[1, 3, 3],[3, 3, 3]]
C = tf.clip_by_value(A, clip_value_min=0., clip_value_max=3.) # throws `TypeError`
as input and clip_values are of different dtype
```

Args:
t: A `Tensor` or `IndexedSlices`.
clip_value_min: A 0-D (scalar) `Tensor`, or a `Tensor` with the same shape
Expand All @@ -62,6 +71,8 @@ def clip_by_value(t, clip_value_min, clip_value_max,
Raises:
ValueError: If the clip tensors would trigger array broadcasting
that would make the returned tensor larger than the input.
TypeError: If dtype of the input is `int32` and dtype of the `clip_value_min' or
`clip_value_max` is `float32`
"""
with ops.name_scope(name, "clip_by_value",
[t, clip_value_min, clip_value_max]) as name:
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