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hub / github.com/XLechter/PCAN / batch_norm_for_conv2d

Function batch_norm_for_conv2d

tf_util.py:565–577  ·  view source on GitHub ↗

Batch normalization on 2D convolutional maps. Args: inputs: Tensor, 4D BHWC input maps is_training: boolean tf.Varialbe, true indicates training phase bn_decay: float or float tensor variable, controling moving average weight scope: string, variable scope

(inputs, is_training, bn_decay, scope, data_format)

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Callers 2

conv2dFunction · 0.85
conv2d_transposeFunction · 0.85

Calls 1

batch_norm_templateFunction · 0.85

Tested by

no test coverage detected