tf随笔-6
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import tensorflow as tf
x=tf.constant([-0.2,0.5,43.98,-23.1,26.58])
y=tf.clip_by_value(x,1e-10,1.0)
sess=tf.Session()
print sess.run(y)
x=tf.constant([-0.2,0.5,43.98,-23.1,26.58])
y=tf.clip_by_value(x,1e-10,1.0)
sess=tf.Session()
print sess.run(y)
sess.close()
clip_by_value(
t,
clip_value_min,
clip_value_max,
name=None
)
Given a tensor t
, this operation returns a tensor of the same type and shape as t
with its values clipped to clip_value_min
and clip_value_max
. Any values less than clip_value_min
are set to clip_value_min
. Any values greater than clip_value_max
are set to clip_value_max
.
Args:
t
: ATensor
.clip_value_min
: A 0-D (scalar)Tensor
, or aTensor
with the same shape ast
. The minimum value to clip by.clip_value_max
: A 0-D (scalar)Tensor
, or aTensor
with the same shape ast
. The maximum value to clip by.name
: A name for the operation (optional).
Returns:
A clipped Tensor
.
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