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Community-led development "The Apache Way"

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This was extracted (@ 2021-06-16 23:10) from a list of minutes which have been approved by the Board.

Please Note The Board typically approves the minutes of the previous meeting at the beginning of every Board meeting; therefore, the list below does not normally contain details from the minutes of the most recent Board meeting.

Meeting times vary, the exact schedule is available to ASF Members and Officers, search for "calendar" in the Foundation's private index page (svn:foundation/private-index.html).

TVM

16 Jun 2021 [Tianqi Chen / Roy]

Report was filed, but display is awaiting the approval of the Board minutes.

17 Mar 2021 [Tianqi Chen / Sharan]

## Description:
The mission of Apache TVM is the creation and maintenance of software related
to compilation of machine learning models to run on a wide range of hardware
platforms

## Issues:

No issue that needs board attention

## Membership Data:
Apache TVM was founded 2020-11-17 (4 months ago)
There are currently 39 committers and 16 PMC members in this project.
The Committer-to-PMC ratio is roughly 5:2.

Community changes, past quarter:
- Leyuan Wang was added to the PMC on 2021-01-16
- Chenfan was added as committer on 2020-12-18
- Josh Fromm was added as committer on 2021-01-19

## Project Activity:

The community merged 130 pull requests from 69 authors in the past month.
The improvements highlights includes:
- Better vulkan and SPIRV support
- Support of irregular control flow such as while loop
- Initial support of TensorIR for tensor-core libraries
- Various improvements to the Torch and Tensorflow frontends.


## Community Health:

The developer community is healthy, with broad participations
from various organizations. The community discussed about start experimenting
a new RFC mechanism that opens pull request to a separate github repo
(apache/tvm-rfcs, whose pull requests will be mirrored to dev@). This would
allow reviews and tracking of the RFC more easily. Additionally, there are
quite a few engaged discussion about the Device API, micro controller support,
and Torchscript integeration. The community members also give talks in major
workshops. The PMC is actively discussing new candidates for PMC
and committership.

17 Feb 2021 [Tianqi Chen / Niclas]

## Description:
The mission of Apache TVM is the creation and maintenance of software related
to compilation of machine learning models to run on a wide range of hardware
platforms

## Issues:

No issue that need board attention

## Membership Data:
Apache TVM was founded 2020-11-17 (3 months ago)
There are currently 39 committers and 16 PMC members in this project.
The Committer-to-PMC ratio is roughly 5:2.

Community changes, past quarter:
- Leyuan Wang was added to the PMC on 2021-01-16
- Chenfan was added as committer on 2020-12-18
- Josh Fromm was added as committer on 2021-01-19

## Project Activity:

The project has been quite healthy in the past month.
On main, 373 files have changed and there have been 14,511 additions
and 4,001 deletions. The improvements come in areas include(but not limited to):
- Better micro-controller support.
- More documentation improvements.
- Automatic scheduler enhancement to support more workloads.
- Better test coverage and


## Community Health:

177 pull requests were bought up, and 135 of them were merged.
Those contributions come from 55 authors. The community members are
also actively engaged in RFC discussions, formalizing proposals
for features like micro-controller support, compiler updates and
accelerator support under the Apache way.

20 Jan 2021 [Tianqi Chen / Patricia]

## Description:

Apache TVM’s extensible full-stack framework enables deep learning
applications to efficiently deploy across an array of hardware modules,
platforms, and systems,  including mobile phones, wearables,  specialized
chips, and embedded devices.

## Issues:

There are no issues requiring board attention.

## Membership Data:
Apache TVM was founded 2020-11-17 (2 months ago)
There are currently 38 committers and 15 PMC members in this project.
The Committer-to-PMC ratio is roughly 5:2.

Community changes, past month:
- The community is discussing and voting new PMC members.
- Chenfan was added as committer on 2020-12-18

## Project Activity:

Software development activity:
- We land the first complete version of the automatic scheduling code
  generation.
- The community has been working on improving the robustness of the
  internals (better logging and error messaging).
- Improvements to uTVM (micro-controller compilation support).
- Last project release was v0.7.0 (2020-10-02), the community is working
  hard to push for the v0.8 release cycle.

Meetups and Conferences:
 - Annual developer conference(see the community health)

## Community Health:

Overall community health is good. The amount of PRs drop to 100 (was 150)
monthly. But this is expected due to the holiday season. Followed by a
successful announcement of the TLP. The community successfully held a three
day virtual developer conference (https://tvmconf.org/) on Dec 2-4. Nearly
1000 people registered.

The conference attracted talks from major industry users, such as AMD, ARM, AWS,
Qualcomm, OctoML, Xilinx, Alibaba, Huawei, and academic contributors from UW,
UC Berkeley, Cornell, UCLA, Beihang University. During the conference,
the community celebrated the apache way and talked
about their applications and contributions to the Apache TVM.

16 Dec 2020 [Tianqi Chen / Shane]

## Description:

Apache TVM’s extensible full-stack framework enables deep learning
applications to efficiently deploy across an array of hardware modules,
platforms, and systems,  including mobile phones, wearables,  specialized
chips, and embedded devices.

## Project Status:

- Apache TVM graduated as a TLP last month
- Community contribution are healthy, ~150 PRs merged last month
- The community is working on new features on automatic scheduling,
 stabilizing the API, rust integration, micro-controllers, tensorflow and
 pytorch support

## Community

- The community welcomed one new committer last month. There are also ongoing
 discussions about new committer.
- The community is hosting an developer conference on Dec 2-4
 https://tvmconf.org/
- Press release about TLP out, thanks to Sally!

## Releases:
- Apache TVM 0.7.0 was released Oct 9 2020

18 Nov 2020

Establish the Apache TVM Project

 WHEREAS, the Board of Directors deems it to be in the best interests
 of the Foundation and consistent with the Foundation's purpose to
 establish a Project Management Committee charged with the creation and
 maintenance of open-source software, for distribution at no charge to
 the public, related to compilation of machine learning models to run
 on a wide range of hardware platforms.

 NOW, THEREFORE, BE IT RESOLVED, that a Project Management Committee
 (PMC), to be known as the "Apache TVM Project", be and hereby is
 established pursuant to Bylaws of the Foundation; and be it further

 RESOLVED, that the Apache TVM Project be and hereby is responsible for
 the creation and maintenance of software related to compilation of
 machine learning models to run on a wide range of hardware platforms;
 and be it further

 RESOLVED, that the office of "Vice President, Apache TVM" be and
 hereby is created, the person holding such office to serve at the
 direction of the Board of Directors as the chair of the Apache TVM
 Project, and to have primary responsibility for management of the
 projects within the scope of responsibility of the Apache TVM Project;
 and be it further

 RESOLVED, that the persons listed immediately below be and hereby are
 appointed to serve as the initial members of the Apache TVM Project:

 * Tianqi Chen <tqchen@apache.org>
 * Timothy Chen <tnachen@apache.org>
 * Zhi Chen <zhic@apache.org>
 * Byung-Gon Chun <bgchun@apache.org>
 * Ziheng Jiang <ziheng@apache.org>
 * Furkan Kamaci <kamaci@apache.org>
 * YiZhi Liu <liuyizhi@apache.org>
 * Masahiro Masuda <masahi@apache.org>
 * Thierry Moreau <moreau@apache.org>
 * Jared Roesch <jroesch@apache.org>
 * Henry Saputra <hsaputra@apache.org>
 * Haichen Shen <haichen@apache.org>
 * Markus Weimer <weimer@apache.org>
 * Eddie Yan <eqy@apache.org>
 * Lianmin Zheng <lmzheng@apache.org>

 NOW, THEREFORE, BE IT FURTHER RESOLVED, that Tianqi Chen be appointed
 to the office of Vice President, Apache TVM, to serve in accordance
 with and subject to the direction of the Board of Directors and the
 Bylaws of the Foundation until death, resignation, retirement, removal
 or disqualification, or until a successor is appointed; and be it
 further

 RESOLVED, that the Apache TVM Project be and hereby is tasked with the
 migration and rationalization of the Apache Incubator TVM podling; and
 be it further

 RESOLVED, that all responsibilities pertaining to the Apache Incubator
 TVM  podling encumbered upon the Apache Incubator PMC are hereafter
 Discharged.

 Special Order 7D, Establish the Apache TVM Project, was
 approved by Unanimous Vote of the directors present.

21 Oct 2020

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the
productivity- focused deep learning frameworks, and the performance- or
efficiency- oriented hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 - Keep growing the community

### Are there any issues that the IPMC or ASF Board need to be aware of?

 no

### How has the community developed since the last report?

 TVM community has welcomed three new committers/PPMC members since last
 report. There are also on-going new committer nominations. The community
 is active and vibrate, with wide collaborations from many contributors.
 The total number of contributors has grown to 440.

 The community actively works to resolve the items under the guide of the
 Apache maturity model.

### How has the project developed since the last report?

 A lot of improvements have been made. Including automatic scheduling,
 better documentations, command line support

 See also our monthly reports for detailed improvements
 - July https://discuss.tvm.apache.org/t/tvm-monthly-jul-2020/7570
 - Aug https://discuss.tvm.apache.org/t/tvm-monthly-aug-2020/7791

### How would you assess the podling's maturity?
 - [ ] Initial setup
 - [ ] Working towards first release
 - [X] Community building
 - [X] Nearing graduation
 - [ ] Other:

### Date of last release:

 2020-07-10

 The community is voting on a new release now

### When were the last committers or PPMC members elected?

 2020-09-28

### Have your mentors been helpful and responsive?
 Our mentors are super helpful.

### Is the PPMC managing the podling's brand / trademarks?
 yes

### Signed-off-by:
 - [X] (tvm) Byung-Gon Chun
    Comments:
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments: Peak for graduation.
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:
 - [X] (tvm) Tianqi Chen
    Comments:
 - [X] (tvm) Markus Weimer
    Comments: The project is ready for graduation.

### IPMC/Shepherd notes:

15 Jul 2020

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or efficiency-
oriented hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 1. Keep growing the community

### Are there any issues that the IPMC or ASF Board need to be aware of?
 no

### How has the community developed since the last report?

 TVM community has welcomed four new committers/PPMC members since last
 report. There are also on-going new committer nominations.
 The community is active and vibrate, with wide collaborations from many
 contributors. The total number of contributors has grown to 387.

 The community actively works to resolve the items under the guide of the
 Apache maturity model


 https://docs.google.com/document/d/18nyAH-fcptVezAxPQe6H3FeTKPRkujOp1tc1YRSP
 Lok/edit?usp=sharing

### How has the project developed since the last report?

 A lot of improvements have been made. Including wasm/webgpu backend,
 performance improvement,
 operator/backend coverage, codebase refactor

 See also our monthly reports for detailed improvements

 - Mar https://discuss.tvm.ai/t/tvm-monthly-march-2020/6199
 - Apr https://discuss.tvm.ai/t/tvm-monthly-april-2020/6570
 - May https://discuss.tvm.ai/t/tvm-monthly-may-2020/6992

### How would you assess the podling's maturity?

 - [ ] Initial setup
 - [ ] Working towards first release
 - [X] Community building
 - [X] Nearing graduation
 - [ ] Other:

### Date of last release:

 2019-12-1

 The community is voting on a new release now

### When were the last committers or PPMC members elected?

 No answer.

### Have your mentors been helpful and responsive?

 Our mentors are super helpful.

### Is the PPMC managing the podling's brand / trademarks?

 yes

### Signed-off-by:

 - [X] (tvm) Byung-Gon Chun
    Comments:
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments: Community is growing and healthy
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:
 - [X] (tvm) Tianqi Chen
    Comments:
 - [X] (tvm) Markus Weimer
    Comments: Looking forward to graduation soon.

### IPMC/Shepherd notes:

15 Jan 2020

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or efficiency-
oriented hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 1. Keep growing the community
 2. Make a few more Apache releases
 3. Improve documentations

### Are there any issues that the IPMC or ASF Board need to be aware of?

 no

### How has the community developed since the last report?

 TVM community has welcomed two new committers/PPMC members since last
 report.
 There are also two on-going new committer nomination that will close in a
 week.
 The community hosted many meetups and an annual developer conference with
 more than 200+ attendees.
 These contents are made publically available as per apache way.

 This has been a great year for us doing the Apache way and grow the
 community.
 The community has grown 70% in terms of number of contributors and
 committers,
 while these statistics do not necessarily indicate success, they suggest
 we are on the right track.

### How has the project developed since the last report?

 We made our first Apache release. Thanks to the help of IPMC members, in
 particular Justin, we were able to
 hold the Apache standard and release without using the WIP disclaimer

 A lot of improvements have been made. Including TensorCore support,
 embedded system support and performance improvements

 See also our monthly report for detailed improvements
 - Sep https://discuss.tvm.ai/t/tvm-monthly-september-2019/4219
 - Oct https://discuss.tvm.ai/t/tvm-monthly-oct-2019/4587
 - Nov https://discuss.tvm.ai/t/tvm-monthly-nov-2019/5038

### How would you assess the podling's maturity?
Please feel free to add your own commentary.

 - [ ] Initial setup
 - [ ] Working towards first release
 - [x] Community building
 - [x] Nearing graduation
 - [ ] Other:

### Date of last release:

 2019-12-1

### When were the last committers or PPMC members elected?

 Dec 1 2019

### Have your mentors been helpful and responsive?

 Our mentors are super helpful.

### Is the PPMC managing the podling's brand / trademarks?

 We have yet check with the VP.
 Given the long history of the project, we want to keep the name,
 will reach out to brand formally.

### Signed-off-by:

 - [x] (tvm) Byung-Gon Chun
    Comments: Great progress! Good job on the first Apache release!
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments: Community is healthy and congrats on the first release under ASF
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:
 - [x] (tvm) Tianqi Chen
    Comments:
 - [x] (tvm) Markus Weimer
    Comments: With the first release done, we should look towards
graduation.

### IPMC/Shepherd notes:
 Justin Mclean: I think it may be a little too early to consider
 graduation. Has the podling filling the the optional maturity model,
 doing so may point out when there's still more work to do.

16 Oct 2019

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or efficiency-
oriented hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 1. Source code and website migration to ASF infra
 2. Make the first Apache release
 3. Continue to grow the community

### Are there any issues that the IPMC or ASF Board need to be aware of?
 No

### How has the community developed since the last report?

 TVM community has welcomed four committers since last report.
 We also made our first presentation at ApacheCon NA.

### How has the project developed since the last report?
 The project has been quite health, with ~120 pull requests being merged
 every months.
 These pull requests are authored by a diverse set of contributors(~50
 authors last month).

 Some highlights of recent developments:
 - New integer analysis infrastructure
 - Initial computation support
 - Support for running quanitized models

 For detailed information about the project development, please refer to
the
 monthly TVM community's monthly summary:
 - Oct: https://discuss.tvm.ai/t/tvm-monthly-september-2019/4219
 - Aug: https://discuss.tvm.ai/t/tvm-monthly-august-2019/3904
 - July: https://discuss.tvm.ai/t/tvm-monthly-july-2019/3600
 - June: https://discuss.tvm.ai/t/tvm-monthly-june-2019/3202

### How would you assess the podling's maturity?
Please feel free to add your own commentary.

 - [x] Initial setup
 - [x] Working towards first release
 - [x] Community building
 - [ ] Nearing graduation
 - [ ] Other:

### Date of last release:

 no release yet

### When were the last committers or PPMC members elected?

 Sep 30 2019

### Have your mentors been helpful and responsive?

 Mentors are very helpful in providing helpful guidance.

### Signed-off-by:

 - [X] (tvm) Byung-Gon Chun
    Comments: great progress
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments:  Will start working on repo migration
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:
 - [x] (tvm) Tianqi Chen
    Comments:

### IPMC/Shepherd notes:

17 Jul 2019

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or efficiency-
oriented hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 1. Source code and website migration to ASF infra
 2. Make the first Apache release
 3. Continue to grow the community

### Are there any issues that the IPMC or ASF Board need to be aware of?

 N/A

### How has the community developed since the last report?

 TVM community has welcomed one committer in the past month.

### How has the project developed since the last report?

 Summary statistics: In the past month authors have pushed 142 commits to
 master and 142 commits to all branches. On master, 421 files have changed
 and there have been 22,680 additions and 5,388 deletions.

 Some highlights of recent developments:

 - Robust coverage of windows support.
 - Improvements in the integer simplifier interface.
 - Major improvements in high level ir(relay) support
 - For detailed information about the project development, please refer to
 the monthly TVM community's monthly summary:
   - May: https://discuss.tvm.ai/t/tvm-monthly-may-2019/2793
   - June: https://discuss.tvm.ai/t/tvm-monthly-june-2019/3202

### How would you assess the podling's maturity?
Please feel free to add your own commentary.

 - [x] Initial setup
 - [x] Working towards first release
 - [x] Community building
 - [ ] Nearing graduation
 - [ ] Other:

### Date of last release:

 N/A

### When were the last committers or PPMC members elected?

 June 13 2019

### Have your mentors been helpful and responsive?

 Mentors are very helpful in providing guidance.

### Signed-off-by:

 - [X] (tvm) Byung-Gon Chun
    Comments:
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments: Working on migration or resources to ASF infra and managed
    resources. But the community still growing and active.
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:
 - [X] (tvm) Markus Weimer
    Comments:

### IPMC/Shepherd notes:

19 Jun 2019

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or
efficiency-oriented
hardware backends.

TVM has been incubating since 2019-03-06.

### Three most important unfinished issues to address before graduating:

 1. Source code and website migration to ASF infra
 2. Make the first Apache release
 3. Continue to grow the community

### Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 No answer.

### How has the community developed since the last report?

 TVM community has welcomed one PPMC member in the past month. There is
 also ongoing votes about adding new committers.

### How has the project developed since the last report?

 Summary statistics: in the past month, 44 contributors have pushed 98
 commits to master and 98 commits to all branches. On master, 366 files
 have changed and there have been 21,156 additions and 2,810 deletions.
 The contributions covers areas including documentations, bugfixes, user
 interface and backend hardware support.

 Some highlights of recent developments:
 - More robust frontend support to support various machine learning models.
 - Cycle accurate simulation to make it easy to add new architecture
   backends.
 - Quantized models to enable deployment to embedded devices.

 For detailed information about the project development, please refer to
 the monthly TVM community's monthly summary:
 - April: https://discuss.tvm.ai/t/tvm-monthly-april-2019/2426
 - May: https://discuss.tvm.ai/t/tvm-monthly-may-2019/2793

### How would you assess the podling's maturity?
Please feel free to add your own commentary.

 - [x] Initial setup
 - [x] Working towards first release
 - [x] Community building
 - [ ] Nearing graduation
 - [ ] Other:

### Date of last release:

 no release yet

### When were the last committers or PPMC members elected?

 May 23rd

### Have your mentors been helpful?

 Mentors are very helpful in helping to set up the podling and provide
 helpful guidance.

### Signed-off-by:

 - [X] (tvm) Markus Weimer
    Comments:
 - [X] (tvm) Byung-Gon Chun
    Comments:
 - [ ] (tvm) Sebastian Schelter
    Comments:
 - [X] (tvm) Henry Saputra
    Comments:
 - [ ] (tvm) Timothy Chen
    Comments:
 - [X] (tvm) Furkan Kamaci
    Comments:

### IPMC/Shepherd notes:

 Dave Fisher: This already busy project and community is just getting
   started in the Incubator.
   They look to be on the right track. They have some resources which may
   require a VM.
   I suggested that they reach out to Infra on Slack for some answers.
   It's good to see mentor engagement.

15 May 2019

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or
efficiency-oriented
hardware backends.

TVM has been incubating since 2019-03-06.

Three most important unfinished issues to address before graduating:

 1.  Source code and website migration to ASF infra
 2.  Make the first Apache release
 3.  Continue to grow the community

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

How has the community developed since the last report?

 TVM community has welcomed one new committer in the past month

How has the project developed since the last report?

 In the past month, 51 contributors have pushed 109 commits to master and
 109 commits to all branches.
 On master, 1,763 files have changed and there have been 44,070 additions
 and 13,852 deletions.
 See detailed monthly report
 - Mar: https://discuss.tvm.ai/t/tvm-monthly-march-2019/2083
 - April: https://discuss.tvm.ai/t/tvm-monthly-april-2019/2426

How would you assess the podling's maturity?
Please feel free to add your own commentary.

 [x] Initial setup
 [x] Working towards first release
 [x] Community building
 [ ] Nearing graduation
 [ ] Other:

Date of last release:

 not yet

When were the last committers or PPMC members elected?

 2019 April 22

Have your mentors been helpful and responsive or are things falling
through the cracks? In the latter case, please list any open issues
that need to be addressed.

 Mentors are very helpful in helping to set up the podling and provide
 helpful guidance.

Signed-off-by:

 [X] (tvm) Markus Weimer
 Comments:
 [ ](tvm) Byung-Gon Chun
 Comments:
 [ ](tvm) Sebastian Schelter
 Comments:
 [X](tvm) Henry Saputra
 Comments:
 [ ](tvm) Timothy Chen
 Comments:
 [X](tvm) Furkan Kamaci
 Comments:

IPMC/Shepherd notes:

17 Apr 2019

TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the productivity-
focused deep learning frameworks, and the performance- or
efficiency-oriented
hardware backends.

TVM has been incubating since 2019-03-06.

Three most important unfinished issues to address before graduating:

 1. Finish the IP clearance
 2. Make the first Apache release
 3. Continue to grow the community

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 None

How has the community developed since the last report?

 - TVM PMC has been fully transitioned to private@
 - The development conversations are mirrored to dev@
 - TVM community has welcomed two new committers in the past month

 See more in https://github.com/dmlc/tvm/search?q=COMMUNITY&type=Issues

 NOTE: due to the transition, the vote of the new committers were done in
 the pre-apache PMC private list with our mentors as observers.
 We are doing procedural votes to bring these committers formally to
 Apache soon.

How has the project developed since the last report?

 In the past month, 47 contributors have pushed 138 commits.
 On master, 480 files have changed and there have been
 18,529 additions and 4,290 deletions.

 See details in our monthly report
   Mar: https://discuss.tvm.ai/t/tvm-monthly-march-2019/2083/2
   Feb: https://discuss.tvm.ai/t/tvm-monthly-feb-2019/1801

How would you assess the podling's maturity?
Please feel free to add your own commentary.

 [X] Initial setup
 [X] Working towards first release
 [X] Community building
 [ ] Nearing graduation
 [ ] Other:

Date of last release:

 None yet

When were the last committers or PPMC members elected?

 2019 Mar 15

Have your mentors been helpful and responsive or are things falling
through the cracks? In the latter case, please list any open issues
that need to be addressed.

 Mentors are very helpful in helping to set up the podling and provide
 helpful guidances.

Signed-off-by:

 [X](tvm) Byung-Gon Chun
    Comments:
 [X](tvm) Sebastian Schelter
    Comments:
 [X](tvm) Henry Saputra
    Comments:
 [X](tvm) Timothy Chen
    Comments:
 [X](tvm) Furkan Kamaci
    Comments:
 [X](tvm) Markus Weimer
    Comments:

IPMC/Shepherd notes: