normalization modification#963
Merged
zsdonghao merged 4 commits intotensorlayer:masterfrom May 11, 2019
yd-yin:bug_fix_instance_norm
Merged
normalization modification#963zsdonghao merged 4 commits intotensorlayer:masterfrom yd-yin:bug_fix_instance_norm
zsdonghao merged 4 commits intotensorlayer:masterfrom
yd-yin:bug_fix_instance_norm
Conversation
fix bugs of BatchNorm rewrite InstanceNorm
Updata docs of normalization
update docstrings of InstanceNorm
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remember to change the |
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also, remember to correct the python format: yapf -i xxx.py
# or for a folder
yapf -i --recursive folder |
zsdonghao
approved these changes
May 11, 2019
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Checklist
Motivation and Context
BatchNorm:
(code262)
mean, var = tf.nn.moments(inputs, self.axes)When calculating the mean and variance of inputs,
keepdimsis set toFalseby default, returning a one-dimensional tensor. This tensor will be broadcasted along with the last dimension of inputs when doingbatch_normalization, which is not suitable forchannels firstversion.InstanceNorm
The previous version of class
InstanceNormonly supports InstanceNorm2d and static mode.Description
Bug fixing of BatchNorm
A new version of InstanceNorm
Add *1d/2d/3d