tf.raw_ops.Minimum
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Returns the min of x and y (i.e. x < y ? x : y) element-wise.
View aliases
Compat aliases for migration
See
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more details.
tf.compat.v1.raw_ops.Minimum
tf . raw_ops . Minimum (
x , y , name = None
)
Both inputs are number-type tensors (except complex). minimum
expects that
both tensors have the same dtype
.
Examples:
x = tf . constant ([ 0. , 0. , 0. , 0. ])
y = tf . constant ([ - 5. , - 2. , 0. , 3. ])
tf . math . minimum ( x , y )
<tf . Tensor : shape = ( 4 ,), dtype = float32 , numpy = array ([ - 5. , - 2. , 0. , 0. ], dtype = float32 ) >
Note that minimum
supports broadcast semantics for x
and y
.
x = tf . constant ([ - 5. , 0. , 0. , 0. ])
y = tf . constant ([ - 3. ])
tf . math . minimum ( x , y )
<tf . Tensor : shape = ( 4 ,), dtype = float32 , numpy = array ([ - 5. , - 3. , - 3. , - 3. ], dtype = float32 ) >
The reduction version of this elementwise operation is tf.math.reduce_min
Args
x
A Tensor
. Must be one of the following types: bfloat16
, half
, float32
, float64
, int8
, uint8
, int16
, uint16
, int32
, uint32
, int64
, uint64
.
y
A Tensor
. Must have the same type as x
.
name
A name for the operation (optional).
Returns
A Tensor
. Has the same type as x
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2024-01-23 UTC.
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