mindspore/docs/api/api_python/mindspore.nn.rst

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mindspore.nn
=============
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神经网络Cell。
用于构建神经网络中的预定义构建块或计算单元。
MindSpore中 `mindspore.nn` 算子与上一版本相比,新增、删除和支持平台的变化信息请参考 `API Updates <https://gitee.com/mindspore/docs/blob/master/resource/api_updates/ops_api_updates.md>`_
Cell
----
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.Cell
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容器
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-----------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.CellList
mindspore.nn.SequentialCell
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卷积层
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--------------------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.Conv1d
mindspore.nn.Conv1dTranspose
mindspore.nn.Conv2d
mindspore.nn.Conv2dTranspose
mindspore.nn.Conv3d
mindspore.nn.Conv3dTranspose
Gradient
---------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.Jvp
mindspore.nn.Vjp
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非线性激活函数
----------------------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.FastGelu
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mindspore.nn.HShrink
mindspore.nn.HSigmoid
mindspore.nn.HSwish
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mindspore.nn.LeakyReLU
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mindspore.nn.LogSigmoid
mindspore.nn.LogSoftmax
mindspore.nn.ReLU
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mindspore.nn.ELU
mindspore.nn.GELU
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mindspore.nn.Sigmoid
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mindspore.nn.Softmax
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mindspore.nn.Tanh
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Utilities
---------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.Flatten
mindspore.nn.Tril
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损失函数
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--------------
.. cnmsplatformautosummary::
:toctree: nn
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mindspore.nn.L1Loss
mindspore.nn.MSELoss
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mindspore.nn.SmoothL1Loss
Optimizer Functions
-------------------
.. cnmsplatformautosummary::
:toctree: nn
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mindspore.nn.Optimizer
mindspore.nn.Adagrad
mindspore.nn.Adam
mindspore.nn.AdamOffload
mindspore.nn.AdamWeightDecay
mindspore.nn.FTRL
mindspore.nn.LARS
mindspore.nn.Lamb
mindspore.nn.LazyAdam
mindspore.nn.Momentum
mindspore.nn.ProximalAdagrad
mindspore.nn.RMSProp
mindspore.nn.SGD
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mindspore.nn.thor
Wrapper Functions
-----------------
.. cnmsplatformautosummary::
:toctree: nn
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mindspore.nn.DistributedGradReducer
mindspore.nn.DynamicLossScaleUpdateCell
mindspore.nn.FixedLossScaleUpdateCell
mindspore.nn.ForwardValueAndGrad
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mindspore.nn.PipelineCell
mindspore.nn.TrainOneStepCell
mindspore.nn.TrainOneStepWithLossScaleCell
mindspore.nn.WithEvalCell
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mindspore.nn.WithLossCell
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Math Functions
-----------------
.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.Moments
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Metrics
--------
.. cnmsautosummary::
:toctree: nn
mindspore.nn.Accuracy
mindspore.nn.F1
mindspore.nn.Fbeta
mindspore.nn.Loss
mindspore.nn.MAE
mindspore.nn.MSE
mindspore.nn.Metric
mindspore.nn.Precision
mindspore.nn.Recall
mindspore.nn.Top1CategoricalAccuracy
mindspore.nn.Top5CategoricalAccuracy
mindspore.nn.TopKCategoricalAccuracy
mindspore.nn.get_metric_fn
mindspore.nn.names
mindspore.nn.rearrange_inputs
Dynamic Learning Rate
---------------------
LearningRateSchedule
^^^^^^^^^^^^^^^^^^^^^
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本模块中的动态学习率都是LearningRateSchedule的子类将LearningRateSchedule的实例传递给优化器。在训练过程中优化器以当前step为输入调用该实例得到当前的学习率。
.. code-block::
import mindspore.nn as nn
min_lr = 0.01
max_lr = 0.1
decay_steps = 4
cosine_decay_lr = nn.CosineDecayLR(min_lr, max_lr, decay_steps)
net = Net()
optim = nn.Momentum(net.trainable_params(), learning_rate=cosine_decay_lr, momentum=0.9)
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.. cnmsplatformautosummary::
:toctree: nn
mindspore.nn.CosineDecayLR
mindspore.nn.ExponentialDecayLR
mindspore.nn.InverseDecayLR
mindspore.nn.NaturalExpDecayLR
mindspore.nn.PolynomialDecayLR
mindspore.nn.WarmUpLR
Dynamic LR
^^^^^^^^^^
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本模块中的动态学习率都是function调用function并将结果传递给优化器。在训练过程中优化器将result[current step]作为当前学习率。
.. code-block::
import mindspore.nn as nn
min_lr = 0.01
max_lr = 0.1
total_step = 6
step_per_epoch = 1
decay_epoch = 4
lr= nn.cosine_decay_lr(min_lr, max_lr, total_step, step_per_epoch, decay_epoch)
net = Net()
optim = nn.Momentum(net.trainable_params(), learning_rate=lr, momentum=0.9)
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.. cnmsautosummary::
:toctree: nn
mindspore.nn.cosine_decay_lr
mindspore.nn.exponential_decay_lr
mindspore.nn.inverse_decay_lr
mindspore.nn.natural_exp_decay_lr
mindspore.nn.piecewise_constant_lr
mindspore.nn.polynomial_decay_lr
mindspore.nn.warmup_lr