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Update math_ops.py docs.

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PiperOrigin-RevId: 293244585
Change-Id: Ie8fdd901cad9286ad95c55311eaa660cb91270f3
This commit is contained in:
Yash Katariya 2020-02-04 15:36:40 -08:00 committed by TensorFlower Gardener
parent 1e1d9c93ab
commit 074b026b77
1 changed files with 20 additions and 4 deletions
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tensorflow/python/ops/math_ops.py
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@ -2344,6 +2344,26 @@ def reduce_max(input_tensor, axis=None, keepdims=False, name=None):
If `axis` is None, all dimensions are reduced, and a
tensor with a single element is returned.
Usage example:
>>> x = tf.constant([5, 1, 2, 4])
>>> print(tf.reduce_max(x))
tf.Tensor(5, shape=(), dtype=int32)
>>> x = tf.constant([-5, -1, -2, -4])
>>> print(tf.reduce_max(x))
tf.Tensor(-1, shape=(), dtype=int32)
>>> x = tf.constant([4, float('nan')])
>>> print(tf.reduce_max(x))
tf.Tensor(4.0, shape=(), dtype=float32)
>>> x = tf.constant([float('nan'), float('nan')])
>>> print(tf.reduce_max(x))
tf.Tensor(-inf, shape=(), dtype=float32)
>>> x = tf.constant([float('-inf'), float('inf')])
>>> print(tf.reduce_max(x))
tf.Tensor(inf, shape=(), dtype=float32)
See the numpy docs for `np.amax` and `np.nanmax` behavior.
Args:
input_tensor: The tensor to reduce. Should have real numeric type.
axis: The dimensions to reduce. If `None` (the default), reduces all
@ -2354,10 +2374,6 @@ def reduce_max(input_tensor, axis=None, keepdims=False, name=None):
Returns:
The reduced tensor.
@compatibility(numpy)
Equivalent to np.max
@end_compatibility
"""
return reduce_max_with_dims(input_tensor, axis, keepdims, name,
_ReductionDims(input_tensor, axis))