mindspore.amp.get_white_list

mindspore.amp.get_white_list()

提供用于自动混合精度 amp_level 为 O1 等级的内置白名单的拷贝。

当前的内置白名单内容为：

[mindspore.nn.Conv1d, mindspore.nn.Conv2d, mindspore.nn.Conv3d, mindspore.nn.Conv1dTranspose, mindspore.nn.Conv2dTranspose, mindspore.nn.Conv3dTranspose, mindspore.nn.Dense, mindspore.nn.LSTMCell, mindspore.nn.RNNCell, mindspore.nn.GRUCell, mindspore.ops.Conv2D, mindspore.ops.Conv3D, mindspore.ops.Conv2DTranspose, mindspore.ops.Conv3DTranspose, mindspore.ops.MatMul, mindspore.ops.BatchMatMul, mindspore.ops.PReLU, mindspore.ops.ReLU, mindspore.ops.Ger]

返回：

list：内置白名单的拷贝。

样例：

>>> from mindspore import amp
>>> white_list = amp.get_white_list()
>>> print(white_list)
[<class 'mindspore.nn.layer.conv.Conv1d'>, <class 'mindspore.nn.layer.conv.Conv2d'>,
 <class 'mindspore.nn.layer.conv.Conv3d'>, <class 'mindspore.nn.layer.conv.Conv1dTranspose'>,
 <class 'mindspore.nn.layer.conv.Conv2dTranspose'>, <class 'mindspore.nn.layer.conv.Conv3dTranspose'>,
 <class 'mindspore.nn.layer.basic.Dense'>, <class 'mindspore.nn.layer.rnn_cells.LSTMCell'>,
 <class 'mindspore.nn.layer.rnn_cells.RNNCell'>, <class 'mindspore.nn.layer.rnn_cells.GRUCell'>,
 <class 'mindspore.ops.operations.nn_ops.Conv2D'>, <class 'mindspore.ops.operations.nn_ops.Conv3D'>,
 <class 'mindspore.ops.operations.nn_ops.Conv2DTranspose'>,
 <class 'mindspore.ops.operations.nn_ops.Conv3DTranspose'>,
 <class 'mindspore.ops.operations.nn_ops.Conv2DBackpropInput'>,
 <class 'mindspore.ops.operations.math_ops.MatMul'>, <class 'mindspore.ops.operations.math_ops.BatchMatMul'>,
 <class 'mindspore.ops.operations.nn_ops.PReLU'>, <class 'mindspore.ops.operations.nn_ops.ReLU'>,
 <class 'mindspore.ops.operations.math_ops.Ger'>]