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提交 c8b3439c 编写于 作者: M mindspore-ci-bot 提交者： Gitee
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!770 FIxi the API params in web. 

Merge pull request !770 from zhangyi/fix_api_param
上级 2c8a97ba 4a8e972c
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api/source_en/api/python/mindspore/mindspore.nn.probability.rst
浏览文件 @ c8b3439c
...@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers ...@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers
.. automodule:: mindspore.nn.probability.bnn_layers .. automodule:: mindspore.nn.probability.bnn_layers
:members: :members:
:exclude-members: ConvReparam , DenseReparam
.. autoclass:: ConvReparam(in_channels, out_channels, kernel_size,stride=1, pad_mode='same', padding=0, dilation=1, group=1, has_bias=False, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
:members:
.. autoclass:: DenseReparam(in_channels, out_channels, activation=None, has_bias=True, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
:members:
.. autoclass:: WithBNNLossCell .. autoclass:: WithBNNLossCell
:members: :members:
......
api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst
浏览文件 @ c8b3439c
...@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers ...@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers
.. automodule:: mindspore.nn.probability.bnn_layers .. automodule:: mindspore.nn.probability.bnn_layers
:members: :members:
:exclude-members: ConvReparam , DenseReparam
.. autoclass:: ConvReparam(in_channels, out_channels, kernel_size,stride=1, pad_mode='same', padding=0, dilation=1, group=1, has_bias=False, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
:members:
.. autoclass:: DenseReparam(in_channels, out_channels, activation=None, has_bias=True, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
:members:
.. autoclass:: WithBNNLossCell .. autoclass:: WithBNNLossCell
:members: :members:
......
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