- 18 Feb, 2020 1 commit
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Tianqi Chen committed
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- 09 Feb, 2020 1 commit
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Tianqi Chen committed
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- 06 Feb, 2020 1 commit
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Tianqi Chen committed
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- 25 Jan, 2020 1 commit
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HUAN-PING SU committed
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- 19 Jan, 2020 1 commit
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HUAN-PING SU committed
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- 10 Jan, 2020 3 commits
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Tianqi Chen committed
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Tianqi Chen committed
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Liangfu Chen committed
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- 06 Jan, 2020 2 commits
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* Fix typos on Docker image versions that we are currently running as part of CI * Add version comment in the same pattern for ci_lint image
Leandro Nunes committed -
* As a result of backwards incompatible changes released in pillow 7.0, torchvision crashes if you just "pip install pillow", as we do in a few places. * This patch sets pillow<7 to be installed in Dockerfiles and support material as tutorials and documentation.
Leandro Nunes committed
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- 24 Dec, 2019 1 commit
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This PR cleans up the left over code for legacy verilog support which was experimental. The new hardware backend path is now support by VTA via TSIM.
Tianqi Chen committed
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- 23 Dec, 2019 1 commit
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* Remove NNVM compiler
Tianqi Chen committed
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- 13 Dec, 2019 1 commit
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Leandro Nunes committed
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- 18 Nov, 2019 1 commit
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Cody Hao Yu committed
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- 16 Nov, 2019 1 commit
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Cody Hao Yu committed
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- 14 Nov, 2019 1 commit
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* [DOCKER] Add ONNX runtime dep * Improve ci script
Tianqi Chen committed
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- 06 Nov, 2019 1 commit
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Tianqi Chen committed
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- 31 Oct, 2019 2 commits
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Tianqi Chen committed
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* [CI] Update the ci-gpu to use cuda10 * [CI] Enforce tensorcore gpu for unittest
Tianqi Chen committed
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- 30 Oct, 2019 1 commit
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* [CI] use llvm9 for the gpu tests * Update Docker script to support new nvidia docker
Tianqi Chen committed
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- 18 Oct, 2019 1 commit
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Tianqi Chen committed
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- 17 Oct, 2019 1 commit
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The existing sequence of pip install commands fetches and installs torch==1.0.1.post2 then fetches an unpinned version of torchvision, recent torchvision packages hardwire the specific torch version they depend on, the overall effect is that we install a pinned torch version then replace it with whatever version the torchvision package depends on. The most recent torchvision==0.4.1 package results in some test case failures. This patch pins torchvision back to 0.4.0, the most recent version that the test suite worked. Removing the explicit torch install because it is implied and pinned as dependency of torchvision. Change-Id: Ib30bf6aed79ff130ea15ef5134fefb0508790574
Marcus Shawcroft committed
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- 10 Oct, 2019 1 commit
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The torch package depends on the future package but the torch wheel does not expose that dependency resulting in an inconsitent install. Ideally the wheel should declare all of its dependencies, I'm not sure why the packagers have choosen not to do this, for now the simple work around is to explicitly install the future package. Change-Id: Ic9f0f4bb4c78ab65706fc1b20c1b4fd287856a9e
Marcus Shawcroft committed
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- 27 Sep, 2019 1 commit
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Tianqi Chen committed
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- 17 Sep, 2019 1 commit
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Junru Shao committed
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- 08 Sep, 2019 1 commit
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雾雨魔理沙 committed
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- 23 Aug, 2019 1 commit
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Fixed repo change for llvm-9 to resolve missing dependency issue when building images with llvm enabled (#3826)
tristan-arm committed
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- 08 Aug, 2019 1 commit
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* [DOCKER] Fix missing apt https transport support * [DOCKER] Drop superflous explicit sudo's
Marcus Shawcroft committed
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- 07 Aug, 2019 2 commits
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Nick Hynes committed
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Thierry Moreau committed
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- 02 Aug, 2019 1 commit
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* add dgl to docker file * add dgl to docker file
Yulun Yao committed
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- 22 Jul, 2019 1 commit
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* [RFC] Initial support for Tflite operator SPLIT This patch adds initial support for the tflite operator split. However I am not yet sure how to handle the axis parameter for the split operator and support it in the test infrastructure. Putting this up for an initial review and comment. The split operator in tflite according to https://www.tensorflow.org/lite/guide/ops_compatibility appears to take num_or_size_split as a 0D tensor. I also note that tflite.split is one of the few operators that returns multiple outputs and thus the helper routines in the tests needed some massaging to make this work. @apivarov , could you please review this ? Thanks, Ramana * Fix the axis parameter Add more tests * Address review comments * Try out frozen_gene's suggestion * Handle split of 1 element * int32 is only supported in tflite 1.14, let's check that version here. * Keep this at python3.5 * Add packaging as a python package to be installed
Ramana Radhakrishnan committed
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- 21 Jul, 2019 1 commit
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Tianqi Chen committed
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- 18 Jul, 2019 1 commit
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* Support additional architectures beyond x86_64 in ubuntu_install_java While attempting to get a development environment going for TVM on my AArch64 desktop I ran into some hardcoding of relevant architectures.
Ramana Radhakrishnan committed
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- 10 Jul, 2019 1 commit
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http://www.trieuvan.com/apache//creadur/apache-rat-0.12/apache-rat-0.12-bin.tar.gz gives a 404 so point the installer at archive.apache.org hopefull that is more reliable.
Marcus Shawcroft committed
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- 06 Jul, 2019 1 commit
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- Install OpenCL headers - Set ANDROID_HOME environment variable
Ruslan Baratov committed
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- 04 Jul, 2019 1 commit
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Needed for: - https://github.com/dmlc/tvm/blob/287078c33db85d4f312d8d2457a064442d9d18c3/tutorials/frontend/deploy_model_on_android.py#L30 - https://github.com/dmlc/tvm/blob/287078c33db85d4f312d8d2457a064442d9d18c3/tutorials/frontend/deploy_model_on_android.py#L37 - https://github.com/dmlc/tvm/blob/287078c33db85d4f312d8d2457a064442d9d18c3/python/tvm/contrib/download.py#L58
Ruslan Baratov committed
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- 02 Jul, 2019 1 commit
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* First shot * Add dockerfile for CPU too * Finish the build infrastructure * Remove extra file * Comment out the Jenkinsfile section since it is not ready * Add missing license headers * Update to newer cudnn that anaconda packaged * Bump the build numbers for the newer cudnn * Bring back the toolchain option with a tweak for cuda * Cache some large packages in the docker and update to llvm 7.0.0 * Merge all the python packages together * First fix for the conda cuda builds (again) * Use the tarball version of cudnn since tvm has trouble detecting the other one * Use llvm 8.0 from the numba packages * Also use llvm 8.0 for the cpu builds * Don't use the anaconda compiler for OS X * Enable Metal on OS X builds * Make sure to detect undefined variables in scripts * Fix build when not using cuda
abergeron committed
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- 30 Jun, 2019 1 commit
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Alexander Pivovarov committed
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- 18 Jun, 2019 1 commit
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* [CI] Update ci-gpu to v0.52 * update nodejs
Tianqi Chen committed
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