commit | 609767c77e248600349242e3fbf69bc9e0326940 | [log] [tgz] |
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author | Geoffrey Martin-Noble <gcmn@google.com> | Tue Nov 02 11:12:46 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Nov 02 11:12:46 2021 -0700 |
tree | e8035505722a8b637b4c37196fdb642c6196248d | |
parent | 8be94e44402758cc8ed942bcab291d25f283cf0b [diff] |
Squash docker images (#7501) Our previous image setup was trying to keep things separate in a defined hierarchy and use multi-stage builds. This was for a few reasons: 1. It followed Docker's recommended [best practices](https://docs.docker.com/develop/develop-images/dockerfile_best-practices/). 2. It ensured that builds only had exactly the things we thought they needed and didn't grow any weird extra dependencies. 3. It separated concerns, so each image was doing a single specific thing. 4. It avoided monolithic architectures. 5. It aimed to keep images as small as possible for each transmission over the wire. These were all great in theory. In practice, it meant we had 20 docker images and it was confusing to keep track of them all. The major failing here is that Dockerfile is just really not a composable format. The only mechanism of composability is fetching specific files from another image, which requires enumerating all such files: not easy for installs that scatter files across the filesystem. This meant that we ended up repeating ourselves anyway and duplicated expensive work. Dockerfile commands that create layers in the image also don't have explicit dependencies. If any layer underneath it is changed, the whole cache is invalidated. This means rebuilds are far more frequent than you'd want for this sort of architecture. Additionally, we've ended up at a place where things like Python and its basic modules like numpy and yaml are needed in pretty much every build, so trying to separate them out is much less useful. So instead, this PR squashes things down to 12 images: a base image that has what we need for basic builds and all the non-conflicting dependencies and child images that add specific conflicting toolchain things. This makes all of the images that remain bigger because they have stuff they absolutely don't need. In particular, the frontends image now inherits from the android image, which I need for https://github.com/google/iree/pull/7494. I don't really understand why the Android NDK has to be so massive (over 4GB). Here's a [comparison](https://gist.github.com/GMNGeoffrey/949ebb31748421c1922d1c874add46c5) of the old and new images and their sizes. Note that some images weren't shipped anywhere and were purely for intermediate images. The only such remaining image is "frontends" which is specialized into swiftshader and nvidia flavors. Tested: Triggered all the non-default builds. I was going to do a oneshot of the gradle build, but it looks like that workflow has never been run? 
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.