Cherrypick Fix reshape interoperability test (#17155)

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,36 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: 'Bug'
+assignees: ''
+
+---
+## Description
+(A clear and concise description of what the bug is.)
+
+### Error Message
+(Paste the complete error message. Please also include stack trace by setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running your script.)
+
+## To Reproduce
+(If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.)
+
+### Steps to reproduce
+(Paste the commands you ran that produced the error.)
+
+1.
+2.
+
+## What have you tried to solve it?
+
+1.
+2.
+
+## Environment
+
+We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:
+```
+curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python
+
+# paste outputs here
+```

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,17 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: 'Feature request'
+assignees: ''
+
+---
+
+## Description
+(A clear and concise description of what the feature is.)
+- If the proposal is about a new model, provide description of what the model is.
+- If the proposal is about an API, provide mock examples if possible.
+
+## References
+- list reference and related literature
+- list known implementations

.github/ISSUE_TEMPLATE/flaky_test.md

@@ -0,0 +1,18 @@
+---
+name: Flaky test
+about: Report a flaky test
+title: ''
+labels: 'Flaky'
+assignees: ''
+
+---
+## Description
+(The location and name of the flaky test.)
+
+## Occurrences
+(Links to the known occurrences.)
+
+## What have you tried to solve it?
+
+1.
+2.

.github/PULL_REQUEST_TEMPLATE.md

@@ -14,8 +14,8 @@ Please feel free to remove inapplicable items for your PR.
 - For user-facing API changes, API doc string has been updated. 
 - For new C++ functions in header files, their functionalities and arguments are documented. 
 - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
-- Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
-- [ ] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
+- Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
+- [ ] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
 
 ### Changes ###
 - [ ] Feature1, tests, (and when applicable, API doc)

.gitignore

@@ -164,4 +164,5 @@ coverage.xml
 cmake_options.yml
 
 # header file generated at compile time
-include/mkldnn/mkldnn_version.h
+include/mkldnn/dnnl_version.h
+include/mkldnn/dnnl_config.h

.gitmodules

@@ -1,6 +1,3 @@
-[submodule "3rdparty/mshadow"]
-	path = 3rdparty/mshadow
-	url = https://github.com/dmlc/mshadow.git
 [submodule "3rdparty/dmlc-core"]
 	path = 3rdparty/dmlc-core
 	url = https://github.com/dmlc/dmlc-core.git
@@ -22,7 +19,7 @@
 	branch = master
 [submodule "3rdparty/tvm"]
 	path = 3rdparty/tvm
-	url = https://github.com/dmlc/tvm
+	url = https://github.com/apache/incubator-tvm.git
 [submodule "3rdparty/onnx-tensorrt"]
 	path = 3rdparty/onnx-tensorrt
 	url = https://github.com/onnx/onnx-tensorrt.git

.travis.yml

@@ -31,9 +31,12 @@ install:
 # recommended.
 # https://docs.travis-ci.com/user/reference/overview/
 script:
+# Temporarily disable travis build due to travis constantly time out, tracked in
+# https://github.com/apache/incubator-mxnet/issues/16535:
   - export MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
+  - export MXNET_SUBGRAPH_VERBOSE=0
   - mv make/osx.mk config.mk
-  - make -j 2
+#  - make -j 2
 
   # Temporarily disabled due to https://github.com/apache/incubator-mxnet/issues/13136
   # We ignore several tests to avoid possible timeouts on large PRs.

3rdparty/mshadow/.gitignore

@@ -0,0 +1,21 @@
+# Compiled Object files
+*.slo
+*.lo
+*.o
+
+# Compiled Dynamic libraries
+*.so
+*.dylib
+
+# Compiled Static libraries
+*.lai
+*.la
+*.a
+*~
+doc/html
+doc/latex
+rabit
+dmlc-core
+*.db
+*.bak
+build

3rdparty/mshadow/.travis.yml

@@ -0,0 +1,43 @@
+# disable sudo to use container based build
+sudo: false
+
+# Use Build Matrix to do lint and build seperately
+env:
+  matrix:
+    - TASK=lint LINT_LANG=cpp
+    - TASK=doc
+    - TASK=build CXX=g++
+
+# dependent apt packages
+addons:
+  apt:
+    packages:
+      - doxygen
+      - wget
+      - unzip
+      - libblas-dev
+      - python3-pip
+
+before_install:
+  - git clone https://github.com/dmlc/dmlc-core
+  - export TRAVIS=dmlc-core/scripts/travis
+  - source ${TRAVIS}/travis_setup_env.sh
+
+install:
+  - pip3 install --upgrade pip --user
+  - pip3 install  --user  cpplint pylint
+
+script: scripts/travis_script.sh
+
+before_cache:
+  - ${TRAVIS}/travis_before_cache.sh
+
+cache:
+  directories:
+    - ${HOME}/.cache/usr
+
+notifications:
+  email:
+    on_success: change
+    on_failure: always
+

3rdparty/mshadow/CHANGES.md

@@ -0,0 +1,12 @@
+Change Log
+=====
+
+mshadow-1.0
+=====
+* Initial release
+
+mshadow-2.0: in progress
+=====
+* Support multiple data type
+* Great refactoring of code
+* Parameter server interface for MultiGPU and distributed learning

3rdparty/mshadow/CMakeLists.txt

@@ -0,0 +1,6 @@
+cmake_minimum_required(VERSION 2.8.7)
+
+project(mshadow C CXX)
+
+set(mshadow_LINT_DIRS mshadow mshadow-ps)
+add_custom_target(mshadow_lint COMMAND ${CMAKE_COMMAND} -DMSVC=${MSVC} -DPYTHON_EXECUTABLE=${PYTHON_EXECUTABLE} -DLINT_DIRS=${mshadow_LINT_DIRS} -DPROJECT_SOURCE_DIR=${PROJECT_SOURCE_DIR} -DPROJECT_NAME=mshadow -P ${PROJECT_SOURCE_DIR}/../dmlc-core/cmake/lint.cmake)

3rdparty/mshadow/LICENSE

@@ -0,0 +1,13 @@
+Copyright (c) 2014 by Contributors
+
+Licensed 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.

3rdparty/mshadow/README.md

@@ -0,0 +1,37 @@
+mshadow: Matrix Shadow
+======
+[![Build Status](https://travis-ci.org/dmlc/mshadow.svg?branch=master)](https://travis-ci.org/dmlc/mshadow)
+
+MShadow is a lightweight CPU/GPU Matrix/Tensor Template Library in C++/CUDA. The goal of mshadow is to support ***efficient***,
+***device invariant*** and ***simple*** tensor library for machine learning project that aims for maximum performance and control, while also emphasize simplicity.
+
+MShadow also provides interface that allows writing Multi-GPU and distributed deep learning programs in an easy and unified way.
+
+* [Contributors](https://github.com/tqchen/mshadow/graphs/contributors)
+* [Tutorial](guide)
+* [Documentation](doc)
+* [Parameter Server Interface for GPU Tensor](guide/mshadow-ps)
+
+Features
+--------
+* Efficient: all the expression you write will be lazily evaluated and compiled into optimized code
+  - No temporal memory allocation will happen for expression you write
+  - mshadow will generate specific kernel for every expression you write in compile time.
+* Device invariant: you can write one code and it will run on both CPU and GPU
+* Simple: mshadow allows you to write machine learning code using expressions.
+* Whitebox: put a float* into the Tensor struct and take the benefit of the package, no memory allocation is happened unless explicitly called
+* Lightweight library: light amount of code to support frequently used functions in machine learning
+* Extendable: user can write simple functions that plugs into mshadow and run on GPU/CPU, no experience in CUDA is required.
+* MultiGPU and Distributed ML: mshadow-ps interface allows user to write efficient MultiGPU and distributed programs in an unified way.
+
+Version
+-------
+* This version mshadow-2.x, there are a lot of changes in the interface and it is not backward compatible with mshadow-1.0
+  - If you use older version of cxxnet, you will need to use the legacy mshadow code
+* For legacy code, refer to [Here](https://github.com/tqchen/mshadow/releases/tag/v1.1)
+* Change log in [CHANGES.md](CHANGES.md)
+
+Projects Using MShadow
+----------------------
+* [MXNet: Efficient and Flexible Distributed Deep Learning Framework](https://github.com/dmlc/mxnet)
+* [CXXNet: A lightweight  C++ based deep learnig framework](https://github.com/dmlc/cxxnet)