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Returns x * y element-wise.
Aliases:
tf.RaggedTensor.mul
tf.compat.v1.RaggedTensor.mul
tf.compat.v1.math.multiply
tf.compat.v1.multiply
tf.compat.v2.RaggedTensor.mul
tf.compat.v2.math.multiply
tf.compat.v2.multiply
tf.multiply
tf.math.multiply(
x,
y,
name=None
)
NOTE: tf.multiply
supports broadcasting. More about broadcasting
here
Args:
x
: ATensor
. Must be one of the following types:bfloat16
,half
,float32
,float64
,uint8
,int8
,uint16
,int16
,int32
,int64
,complex64
,complex128
.y
: ATensor
. Must have the same type asx
.name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as x
.