From 9a44f5f473766d68fdcbdd830a00c45c56f29633 Mon Sep 17 00:00:00 2001 From: yingchen Date: Fri, 17 Dec 2021 14:30:25 +0800 Subject: [PATCH] update docs master --- docs/OWNERS | 2 ++ docs/api/api_python/mindspore/mindspore.dtype.rst | 2 +- .../python/mindspore/nn/probability/README.md | 14 +++++++------- 3 files changed, 10 insertions(+), 8 deletions(-) diff --git a/docs/OWNERS b/docs/OWNERS index 2e1c5c95b71..1fdd15d37b5 100644 --- a/docs/OWNERS +++ b/docs/OWNERS @@ -3,3 +3,5 @@ approvers: - Hanshize - rudy_tan - jonyguo +- lvyufenghw +- zh_qh \ No newline at end of file diff --git a/docs/api/api_python/mindspore/mindspore.dtype.rst b/docs/api/api_python/mindspore/mindspore.dtype.rst index e062e1238ea..0daf8d5a2d0 100644 --- a/docs/api/api_python/mindspore/mindspore.dtype.rst +++ b/docs/api/api_python/mindspore/mindspore.dtype.rst @@ -40,7 +40,7 @@ mindspore.dtype ============================ ================= 类型 描述 ============================ ================= - ``Tensor`` MindSpore中的张量类型。数据格式采用NCHW。详情请参考 `tensor _`. + ``Tensor`` MindSpore中的张量类型。数据格式采用NCHW。详情请参考 `tensor _`. ``bool_`` 布尔型，值为 ``True`` 或者 ``False`` 。 ``int_`` 整数标量。 ``uint`` 无符号整数标量。 diff --git a/mindspore/python/mindspore/nn/probability/README.md b/mindspore/python/mindspore/nn/probability/README.md index d74d8aba9ef..3bc7ae894d8 100644 --- a/mindspore/python/mindspore/nn/probability/README.md +++ b/mindspore/python/mindspore/nn/probability/README.md @@ -15,24 +15,24 @@ The objective of MDP is to integrate deep learning with Bayesian learning. On th ### Layer 1-1: Statistical distributions classes used to generate stochastic tensors -- Distributions ([mindspore.nn.probability.distribution](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/distribution)): A large collection of probability distributions. -- Bijectors([mindspore.nn.probability.bijectors](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/bijector)): Reversible and composable transformations of random variables. +- Distributions ([mindspore.nn.probability.distribution](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/distribution)): A large collection of probability distributions. +- Bijectors([mindspore.nn.probability.bijectors](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/bijector)): Reversible and composable transformations of random variables. ### Layer 1-2: Probabilistic inference algorithms -- SVI([mindspore.nn.probability.infer.variational](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/infer/variational)): A unified interface for stochastic variational inference. +- SVI([mindspore.nn.probability.infer.variational](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/infer/variational)): A unified interface for stochastic variational inference. - MC: Algorithms for approximating integrals via sampling. ## Layer 2: Deep Probabilistic Programming (DPP) aims to provide composable BNN modules -- Layers([mindspore.nn.probability.bnn_layers](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/bnn_layers)): BNN layers, which are used to construct BNN. -- Dpn([mindspore.nn.probability.dpn](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/dpn)): A bunch of BNN models that allow to be integrated into DNN; -- Transform([mindspore.nn.probability.transforms](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/transforms)): Interfaces for the transformation between BNN and DNN; +- Layers([mindspore.nn.probability.bnn_layers](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/bnn_layers)): BNN layers, which are used to construct BNN. +- Dpn([mindspore.nn.probability.dpn](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/dpn)): A bunch of BNN models that allow to be integrated into DNN; +- Transform([mindspore.nn.probability.transforms](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/transforms)): Interfaces for the transformation between BNN and DNN; - Context: context managers for models and layers. ## Layer 3: Toolbox provides a set of BNN tools for some specific applications -- Uncertainty Estimation([mindspore.nn.probability.toolbox.uncertainty_evaluation](https://gitee.com/mindspore/mindspore/tree/master/mindspore/nn/probability/toolbox/uncertainty_evaluation.py)): Interfaces to estimate epistemic uncertainty and aleatoric uncertainty. +- Uncertainty Estimation([mindspore.nn.probability.toolbox.uncertainty_evaluation](https://gitee.com/mindspore/mindspore/tree/master/mindspore/python/mindspore/nn/probability/toolbox/uncertainty_evaluation.py)): Interfaces to estimate epistemic uncertainty and aleatoric uncertainty. - OoD detection: Interfaces to detect out of distribution samples. ![Structure of MDP](https://images.gitee.com/uploads/images/2020/0820/115117_2a20da64_7825995.png "MDP.png")