Merge pull request #18 from FeynmanDNA/master
Based on Nudles commit for release notes 3.0.0.rc1
diff --git a/docs-site/docs/releases/RELEASE_NOTES_3.0.0.rc1.md b/docs-site/docs/releases/RELEASE_NOTES_3.0.0.rc1.md
new file mode 100644
index 0000000..e40e345
--- /dev/null
+++ b/docs-site/docs/releases/RELEASE_NOTES_3.0.0.rc1.md
@@ -0,0 +1,107 @@
+---
+id: RELEASE_NOTES_3.0.0.rc1
+title: singa-3.0.0.rc1 Release Notes
+---
+
+<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->
+
+Release Notes - SINGA - Version singa-3.0.0.rc1
+
+SINGA is a distributed deep learning library.
+
+This release includes following changes:
+
+- Code quality has been promoted by introducing linting check in CI and auto
+ code formatter. For linting, the tools, `cpplint` and `pylint`, are used and
+ configured to comply
+ [google coding styles](http://google.github.io/styleguide/) details in
+ `tool/linting/`. Similarly, formatting tools, `clang-format` and `yapf`
+ configured with google coding styles, are the recommended one for developers
+ to clean code before submitting changes, details in `tool/code-format/`.
+ [LGTM](https://lgtm.com) is enabled on Github for code quality check; License
+ check is also enabled.
+
+- New Tensor APIs are added for naming consistency, and feature enhancement:
+
+ - size(), mem_size(), get_value(), to_proto(), l1(), l2(): added for the sake
+ of naming consistency
+ - AsType(): convert data type between `float` and `int`
+ - ceil(): perform element-wise ceiling of the input
+ - concat(): concatenate two tensor
+ - index selector: e.g. tensor1[:,:,1:,1:]
+ - softmax(in, axis): allow to perform softmax on a axis on a multi-dimensional
+ tensor
+
+- 14 new operators are added into the autograd module: Gemm, GlobalAveragePool,
+ ConstantOfShape, Dropout, ReduceSum, ReduceMean, Slice, Ceil, Split, Gather,
+ Tile, NonZero, Cast, OneHot. Their unit tests are added as well.
+
+- 14 new operators are added to sonnx module for both backend and frontend:
+ [Gemm](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gemm),
+ [GlobalAveragePool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalAveragePool),
+ [ConstantOfShape](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConstantOfShape),
+ [Dropout](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Dropout),
+ [ReduceSum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceSum),
+ [ReduceMean](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceMean),
+ [Slice](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Slice),
+ [Ceil](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Ceil),
+ [Split](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Split),
+ [Gather](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather),
+ [Tile](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tile),
+ [NonZero](https://github.com/onnx/onnx/blob/master/docs/Operators.md#NonZero),
+ [Cast](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Cast),
+ [OneHot](https://github.com/onnx/onnx/blob/master/docs/Operators.md#OneHot).
+ Their tests are added as well.
+
+- Some ONNX models are imported into SINGA, including
+ [Bert-squad](https://github.com/onnx/models/tree/master/text/machine_comprehension/bert-squad),
+ [Arcface](https://github.com/onnx/models/tree/master/vision/body_analysis/arcface),
+ [FER+ Emotion](https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus),
+ [MobileNet](https://github.com/onnx/models/tree/master/vision/classification/mobilenet),
+ [ResNet18](https://github.com/onnx/models/tree/master/vision/classification/resnet),
+ [Tiny Yolov2](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny_yolov2),
+ [Vgg16](https://github.com/onnx/models/tree/master/vision/classification/vgg),
+ and Mnist.
+
+- Some operators now support
+ [multidirectional broadcasting](https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md#multidirectional-broadcasting),
+ including Add, Sub, Mul, Div, Pow, PRelu, Gemm
+
+- [Distributed training with communication optimization].
+ [DistOpt](./python/singa/opt.py) has implemented multiple optimization
+ techniques, including gradient sparsification, chunk transmission, and
+ gradient compression.
+
+- Computational graph construction at the CPP level. The operations submitted to
+ the Device are buffered. After analyzing the dependency, the computational
+ graph is created, which is further analyzed for speed and memory optimization.
+ To enable this feature, use the [Module API](./python/singa/module.py).
+
+- New website based on Docusaurus. The documentation files are moved to a
+ separate repo [singa-doc]](https://github.com/apache/singa-doc). The static
+ website files are stored at
+ [singa-site](https://github.com/apache/singa-site).
+
+- DNNL([Deep Neural Network Library](https://github.com/intel/mkl-dnn)), powered
+ by Intel, is integrated into
+ `model/operations/[batchnorm|pooling|convolution]`, the changes is opaque to
+ the end users. The current version is dnnl v1.1 which replaced previous
+ integration of mkl-dnn v0.18. The framework could boost the performance of dl
+ operations when executing on CPU. The dnnl dependency is installed through
+ conda.
+
+- Some Tensor APIs are marked as deprecated which could be replaced by
+ broadcast, and it can support better on multi-dimensional operations. These
+ APIs are add_column(), add_row(), div_column(), div_row(), mult_column(),
+ mult_row()
+
+- Conv and Pooling are enhanced to support fine-grained padding like (2,3,2,3),
+ and
+ [SAME_UPPER, SAME_LOWER](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv)
+ pad mode and shape checking.
+
+- Reconstruct soonx,
+ - Support two types of weight value (Initializer and Constant Node);
+ - For some operators (BatchNorm, Reshape, Clip, Slice, Gather, Tile, OneHot),
+ move some inputs to its attributes;
+ - Define and implement the type conversion map.
diff --git a/docs-site/package.json b/docs-site/package.json
index 3a0f5cf..defba1c 100644
--- a/docs-site/package.json
+++ b/docs-site/package.json
@@ -23,7 +23,7 @@
"eslint-plugin-flowtype": "^4.6.0",
"eslint-plugin-markdown": "^1.0.0-beta.3",
"eslint-plugin-prettier": "^3.1.2",
- "eslint-plugin-react": "^7.17.0",
+ "eslint-plugin-react": "^7.18.0",
"husky": "^4.0.10",
"lint-staged": "^9.5.0",
"prettier": "^1.19.1",
diff --git a/docs-site/website/core/Footer.js b/docs-site/website/core/Footer.js
index ede9597..ffcf6f7 100644
--- a/docs-site/website/core/Footer.js
+++ b/docs-site/website/core/Footer.js
@@ -82,12 +82,12 @@
<a href={this.docUrl("team-list", this.props.language)}>
SINGA Team
</a>
- <a href={`${this.props.config.baseUrl}news`}>SINGA News</a>
- <a href={this.props.config.repoUrl}>GitHub</a>
+ <a href={`${this.props.config.baseUrl}blog`}>SINGA News</a>
+ <a href={`https://github.com/apache/singa`}>GitHub</a>
<div className="social">
<a
className="github-button" // part of the https://buttons.github.io/buttons.js script in siteConfig.js
- href={this.props.config.repoUrl}
+ href={`https://github.com/apache/singa`}
data-count-href="/apache/singa/stargazers"
data-show-count="true"
data-count-aria-label="# stargazers on GitHub"
diff --git a/docs-site/website/pages/en/users.js b/docs-site/website/pages/en/users.js
index e2c18c1..f2027c2 100644
--- a/docs-site/website/pages/en/users.js
+++ b/docs-site/website/pages/en/users.js
@@ -31,7 +31,7 @@
}
// editURL points to data/users.js list of users
- const editUrl = `${siteConfig.repoUrl}/edit/master/website/data/users.js`
+ const editUrl = `${siteConfig.docsRepoUrl}/edit/master/docs-site/website/data/users.js`
const showcase = siteConfig.users.map(user => (
<a href={user.infoLink} key={user.infoLink}>
<img src={user.image} alt={user.caption} title={user.caption} />
diff --git a/docs-site/website/siteConfig.js b/docs-site/website/siteConfig.js
index b861310..7e202be 100644
--- a/docs-site/website/siteConfig.js
+++ b/docs-site/website/siteConfig.js
@@ -30,7 +30,8 @@
const users = require("./data/users")
// new github repo for this website Jan2020
-const repoUrl = "https://github.com/apache/singa-doc"
+const docsRepoUrl = "https://github.com/apache/singa-doc"
+const mainRepoUrl = "https://github.com/apache/singa"
const siteConfig = {
title: "Apache SINGA", // Title for your website.
@@ -45,7 +46,7 @@
// display an edit button for docs markdowns
// docs path after merging with main repo
- editUrl: `${repoUrl}/blob/master/docs/`,
+ editUrl: `${docsRepoUrl}/blob/master/docs-site/docs/`,
// Used for publishing and more
projectName: "singa-doc", // cd to /website/build/singa-doc/ to serve
@@ -65,7 +66,7 @@
// Determines language drop down position among links
{ languages: true },
// can change help.js to apache.js, optional
- { href: repoUrl, label: "GitHub" },
+ { href: mainRepoUrl, label: "GitHub" },
],
// If you have users set above, you add it here:
@@ -145,8 +146,8 @@
// Show documentation's last update time.
enableUpdateTime: true,
- // pass down the repoUrl to footer etc
- repoUrl,
+ // pass down the docsRepoUrl to footer (edit users with PR) etc
+ // docsRepoUrl,
scrollToTop: true,
}
diff --git a/docs-site/website/versioned_docs/version-3.0.0.rc1/releases/RELEASE_NOTES_3.0.0.rc1.md b/docs-site/website/versioned_docs/version-3.0.0.rc1/releases/RELEASE_NOTES_3.0.0.rc1.md
new file mode 100644
index 0000000..1e1c124
--- /dev/null
+++ b/docs-site/website/versioned_docs/version-3.0.0.rc1/releases/RELEASE_NOTES_3.0.0.rc1.md
@@ -0,0 +1,108 @@
+---
+id: version-3.0.0.rc1-RELEASE_NOTES_3.0.0.rc1
+title: singa-3.0.0.rc1 Release Notes
+original_id: RELEASE_NOTES_3.0.0.rc1
+---
+
+<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->
+
+Release Notes - SINGA - Version singa-3.0.0.rc1
+
+SINGA is a distributed deep learning library.
+
+This release includes following changes:
+
+- Code quality has been promoted by introducing linting check in CI and auto
+ code formatter. For linting, the tools, `cpplint` and `pylint`, are used and
+ configured to comply
+ [google coding styles](http://google.github.io/styleguide/) details in
+ `tool/linting/`. Similarly, formatting tools, `clang-format` and `yapf`
+ configured with google coding styles, are the recommended one for developers
+ to clean code before submitting changes, details in `tool/code-format/`.
+ [LGTM](https://lgtm.com) is enabled on Github for code quality check; License
+ check is also enabled.
+
+- New Tensor APIs are added for naming consistency, and feature enhancement:
+
+ - size(), mem_size(), get_value(), to_proto(), l1(), l2(): added for the sake
+ of naming consistency
+ - AsType(): convert data type between `float` and `int`
+ - ceil(): perform element-wise ceiling of the input
+ - concat(): concatenate two tensor
+ - index selector: e.g. tensor1[:,:,1:,1:]
+ - softmax(in, axis): allow to perform softmax on a axis on a multi-dimensional
+ tensor
+
+- 14 new operators are added into the autograd module: Gemm, GlobalAveragePool,
+ ConstantOfShape, Dropout, ReduceSum, ReduceMean, Slice, Ceil, Split, Gather,
+ Tile, NonZero, Cast, OneHot. Their unit tests are added as well.
+
+- 14 new operators are added to sonnx module for both backend and frontend:
+ [Gemm](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gemm),
+ [GlobalAveragePool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalAveragePool),
+ [ConstantOfShape](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConstantOfShape),
+ [Dropout](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Dropout),
+ [ReduceSum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceSum),
+ [ReduceMean](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceMean),
+ [Slice](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Slice),
+ [Ceil](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Ceil),
+ [Split](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Split),
+ [Gather](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather),
+ [Tile](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tile),
+ [NonZero](https://github.com/onnx/onnx/blob/master/docs/Operators.md#NonZero),
+ [Cast](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Cast),
+ [OneHot](https://github.com/onnx/onnx/blob/master/docs/Operators.md#OneHot).
+ Their tests are added as well.
+
+- Some ONNX models are imported into SINGA, including
+ [Bert-squad](https://github.com/onnx/models/tree/master/text/machine_comprehension/bert-squad),
+ [Arcface](https://github.com/onnx/models/tree/master/vision/body_analysis/arcface),
+ [FER+ Emotion](https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus),
+ [MobileNet](https://github.com/onnx/models/tree/master/vision/classification/mobilenet),
+ [ResNet18](https://github.com/onnx/models/tree/master/vision/classification/resnet),
+ [Tiny Yolov2](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny_yolov2),
+ [Vgg16](https://github.com/onnx/models/tree/master/vision/classification/vgg),
+ and Mnist.
+
+- Some operators now support
+ [multidirectional broadcasting](https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md#multidirectional-broadcasting),
+ including Add, Sub, Mul, Div, Pow, PRelu, Gemm
+
+- [Distributed training with communication optimization].
+ [DistOpt](./python/singa/opt.py) has implemented multiple optimization
+ techniques, including gradient sparsification, chunk transmission, and
+ gradient compression.
+
+- Computational graph construction at the CPP level. The operations submitted to
+ the Device are buffered. After analyzing the dependency, the computational
+ graph is created, which is further analyzed for speed and memory optimization.
+ To enable this feature, use the [Module API](./python/singa/module.py).
+
+- New website based on Docusaurus. The documentation files are moved to a
+ separate repo [singa-doc]](https://github.com/apache/singa-doc). The static
+ website files are stored at
+ [singa-site](https://github.com/apache/singa-site).
+
+- DNNL([Deep Neural Network Library](https://github.com/intel/mkl-dnn)), powered
+ by Intel, is integrated into
+ `model/operations/[batchnorm|pooling|convolution]`, the changes is opaque to
+ the end users. The current version is dnnl v1.1 which replaced previous
+ integration of mkl-dnn v0.18. The framework could boost the performance of dl
+ operations when executing on CPU. The dnnl dependency is installed through
+ conda.
+
+- Some Tensor APIs are marked as deprecated which could be replaced by
+ broadcast, and it can support better on multi-dimensional operations. These
+ APIs are add_column(), add_row(), div_column(), div_row(), mult_column(),
+ mult_row()
+
+- Conv and Pooling are enhanced to support fine-grained padding like (2,3,2,3),
+ and
+ [SAME_UPPER, SAME_LOWER](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv)
+ pad mode and shape checking.
+
+- Reconstruct soonx,
+ - Support two types of weight value (Initializer and Constant Node);
+ - For some operators (BatchNorm, Reshape, Clip, Slice, Gather, Tile, OneHot),
+ move some inputs to its attributes;
+ - Define and implement the type conversion map.
diff --git a/docs-site/yarn.lock b/docs-site/yarn.lock
index c648516..30745ec 100644
--- a/docs-site/yarn.lock
+++ b/docs-site/yarn.lock
@@ -1026,7 +1026,7 @@
resolved "https://registry.yarnpkg.com/array-flatten/-/array-flatten-1.1.1.tgz#9a5f699051b1e7073328f2a008968b64ea2955d2"
integrity sha1-ml9pkFGx5wczKPKgCJaLZOopVdI=
-array-includes@^3.0.3:
+array-includes@^3.0.3, array-includes@^3.1.1:
version "3.1.1"
resolved "https://registry.yarnpkg.com/array-includes/-/array-includes-3.1.1.tgz#cdd67e6852bdf9c1215460786732255ed2459348"
integrity sha512-c2VXaCHl7zPsvpkFsw4nxvFie4fh1ur9bpcgsVkIjqn0H/Xwdg+7fv3n2r/isyS8EBj5b06M9kHyZuIr4El6WQ==
@@ -2637,11 +2637,6 @@
dependencies:
get-stdin "^6.0.0"
-eslint-plugin-eslint-plugin@^2.1.0:
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/eslint-plugin-eslint-plugin/-/eslint-plugin-eslint-plugin-2.1.0.tgz#a7a00f15a886957d855feacaafee264f039e62d5"
- integrity sha512-kT3A/ZJftt28gbl/Cv04qezb/NQ1dwYIbi8lyf806XMxkus7DvOVCLIfTXMrorp322Pnoez7+zabXH29tADIDg==
-
eslint-plugin-flowtype@^4.6.0:
version "4.6.0"
resolved "https://registry.yarnpkg.com/eslint-plugin-flowtype/-/eslint-plugin-flowtype-4.6.0.tgz#82b2bd6f21770e0e5deede0228e456cb35308451"
@@ -2665,21 +2660,20 @@
dependencies:
prettier-linter-helpers "^1.0.0"
-eslint-plugin-react@^7.17.0:
- version "7.17.0"
- resolved "https://registry.yarnpkg.com/eslint-plugin-react/-/eslint-plugin-react-7.17.0.tgz#a31b3e134b76046abe3cd278e7482bd35a1d12d7"
- integrity sha512-ODB7yg6lxhBVMeiH1c7E95FLD4E/TwmFjltiU+ethv7KPdCwgiFuOZg9zNRHyufStTDLl/dEFqI2Q1VPmCd78A==
+eslint-plugin-react@^7.18.0:
+ version "7.18.0"
+ resolved "https://registry.yarnpkg.com/eslint-plugin-react/-/eslint-plugin-react-7.18.0.tgz#2317831284d005b30aff8afb7c4e906f13fa8e7e"
+ integrity sha512-p+PGoGeV4SaZRDsXqdj9OWcOrOpZn8gXoGPcIQTzo2IDMbAKhNDnME9myZWqO3Ic4R3YmwAZ1lDjWl2R2hMUVQ==
dependencies:
- array-includes "^3.0.3"
+ array-includes "^3.1.1"
doctrine "^2.1.0"
- eslint-plugin-eslint-plugin "^2.1.0"
has "^1.0.3"
jsx-ast-utils "^2.2.3"
- object.entries "^1.1.0"
- object.fromentries "^2.0.1"
- object.values "^1.1.0"
+ object.entries "^1.1.1"
+ object.fromentries "^2.0.2"
+ object.values "^1.1.1"
prop-types "^15.7.2"
- resolve "^1.13.1"
+ resolve "^1.14.2"
eslint-scope@^5.0.0:
version "5.0.0"
@@ -5432,7 +5426,7 @@
has-symbols "^1.0.0"
object-keys "^1.0.11"
-object.entries@^1.1.0:
+object.entries@^1.1.1:
version "1.1.1"
resolved "https://registry.yarnpkg.com/object.entries/-/object.entries-1.1.1.tgz#ee1cf04153de02bb093fec33683900f57ce5399b"
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@@ -5442,7 +5436,7 @@
function-bind "^1.1.1"
has "^1.0.3"
-object.fromentries@^2.0.1:
+object.fromentries@^2.0.2:
version "2.0.2"
resolved "https://registry.yarnpkg.com/object.fromentries/-/object.fromentries-2.0.2.tgz#4a09c9b9bb3843dd0f89acdb517a794d4f355ac9"
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@@ -5467,7 +5461,7 @@
dependencies:
isobject "^3.0.1"
-object.values@^1.1.0:
+object.values@^1.1.0, object.values@^1.1.1:
version "1.1.1"
resolved "https://registry.yarnpkg.com/object.values/-/object.values-1.1.1.tgz#68a99ecde356b7e9295a3c5e0ce31dc8c953de5e"
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@@ -6965,13 +6959,20 @@
resolved "https://registry.yarnpkg.com/resolve-url/-/resolve-url-0.2.1.tgz#2c637fe77c893afd2a663fe21aa9080068e2052a"
integrity sha1-LGN/53yJOv0qZj/iGqkIAGjiBSo=
-resolve@^1.1.6, resolve@^1.10.0, resolve@^1.12.0, resolve@^1.13.1, resolve@^1.3.2:
+resolve@^1.1.6, resolve@^1.10.0, resolve@^1.12.0, resolve@^1.3.2:
version "1.14.1"
resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.14.1.tgz#9e018c540fcf0c427d678b9931cbf45e984bcaff"
integrity sha512-fn5Wobh4cxbLzuHaE+nphztHy43/b++4M6SsGFC2gB8uYwf0C8LcarfCz1un7UTW8OFQg9iNjZ4xpcFVGebDPg==
dependencies:
path-parse "^1.0.6"
+resolve@^1.14.2:
+ version "1.14.2"
+ resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.14.2.tgz#dbf31d0fa98b1f29aa5169783b9c290cb865fea2"
+ integrity sha512-EjlOBLBO1kxsUxsKjLt7TAECyKW6fOh1VRkykQkKGzcBbjjPIxBqGh0jf7GJ3k/f5mxMqW3htMD3WdTUVtW8HQ==
+ dependencies:
+ path-parse "^1.0.6"
+
responselike@1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/responselike/-/responselike-1.0.2.tgz#918720ef3b631c5642be068f15ade5a46f4ba1e7"
