tf.raw_ops.LRNGrad
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Gradients for Local Response Normalization.
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tf.compat.v1.raw_ops.LRNGrad
tf . raw_ops . LRNGrad (
input_grads ,
input_image ,
output_image ,
depth_radius = 5 ,
bias = 1 ,
alpha = 1 ,
beta = 0.5 ,
name = None
)
Args
input_grads
A Tensor
. Must be one of the following types: half
, bfloat16
, float32
.
4-D with shape [batch, height, width, channels]
.
input_image
A Tensor
. Must have the same type as input_grads
.
4-D with shape [batch, height, width, channels]
.
output_image
A Tensor
. Must have the same type as input_grads
.
4-D with shape [batch, height, width, channels]
.
depth_radius
An optional int
. Defaults to 5
. A depth radius.
bias
An optional float
. Defaults to 1
.
An offset (usually > 0 to avoid dividing by 0).
alpha
An optional float
. Defaults to 1
.
A scale factor, usually positive.
beta
An optional float
. Defaults to 0.5
. An exponent.
name
A name for the operation (optional).
Returns
A Tensor
. Has the same type as input_grads
.
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Last updated 2024-01-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]