tf.raw_ops.QuantizedBatchNormWithGlobalNormalization

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Quantized Batch normalization.

This op is deprecated and will be removed in the future. Prefer tf.nn.batch_normalization.

t A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. A 4D input Tensor.
t_min A Tensor of type float32. The value represented by the lowest quantized input.
t_max A Tensor of type float32. The value represented by the highest quantized input.
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.
m_min A Tensor of type float32. The value represented by the lowest quantized mean.
m_max A Tensor of type float32. The value represented by the highest quantized mean.
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.
v_min A Tensor of type float32. The value represented by the lowest quantized variance.
v_max A Tensor of type float32. The value represented by the highest quantized variance.
beta A Tensor. Must have the same type as t. A 1D beta Tensor with size matching the last dimension of t. An offset to be added to the normalized tensor.
beta_min A Tensor of type float32. The value represented by the lowest quantized offset.
beta_max A Tensor of type float32. The value represented by the highest quantized offset.
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.
gamma_min A Tensor of type float32. The value represented by the lowest quantized gamma.
gamma_max A Tensor of type float32. The value represented by the highest quantized gamma.
out_type A tf.DType from: tf.qint8, tf.qui