tf.raw_ops.BatchNormWithGlobalNormalizationGrad
Gradients for batch normalization.
tf.raw_ops.BatchNormWithGlobalNormalizationGrad(
t, m, v, gamma, backprop, variance_epsilon, scale_after_normalization, name=None
)
This op is deprecated. See tf.nn.batch_normalization.
| Args | |
|---|---|
t |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. A 4D input Tensor. |
m |
A Tensor. Must have the same type as t. A 1D mean Tensor with size matching the last dimension of t. This is the first output from tf.nn.moments, or a saved moving average thereof. |
v |
A Tensor. Must have the same type as t. A 1D variance Tensor with size matching the last dimension of t. This is the second output from tf.nn.moments, or a saved moving average thereof. |
gamma |
A Tensor. Must have the same type as t. A 1D gamma Tensor with size matching the last dimension of t. If "scale_after_normalization" is true, this Tensor will be multiplied with the normalized Tensor. |
backprop |
A Tensor. Must have the same type as t. 4D backprop Tensor. |
variance_epsilon |
A float. A small float number to avoid dividing by 0. |
scale_after_normalization |
A bool. A bool indicating whether the resulted tensor needs to be multiplied with gamma. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A tuple of Tensor objects (dx, dm, dv, db, dg). |
|
dx |
A Tensor. Has the same type as t. |
dm |
A Tensor. Has the same type as t. |
dv |
A Tensor. Has the same type as t. |
db |
A Tensor. Has the same type as t. |
dg |
A Tensor. Has the same type as t. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/BatchNormWithGlobalNormalizationGrad