Comments (8)
I tried it and I'm seeing it as well.
I wonder if this could be something outside DeepVariant. We'll take a closer look and get back to you later.
from deepvariant.
This could be relevant. I'll give it a try and see.
tensorflow/tensorflow#15492 (comment)
from deepvariant.
I can confirm that downgrading bazel to 0.8.1 as suggested in that comment worked for me.
Here's what I did to install an older version of bazel:
BAZEL_VERSION=0.8.1
wget https://github.com/bazelbuild/bazel/releases/download/"${BAZEL_VERSION}"/bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh
chmod +x bazel-*.sh
./bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh --user
Give this temporary solution a try and let me know if it works. We'll still need to fix this in a more principled way.
from deepvariant.
It might not hurt to install a Jenkins server - similar how the protobuf team does it - for continuous integration, as it also plays well with Github PRs and alleviates these simple headaches.
from deepvariant.
Installing bazel 0.8.1 fixed the issue for me. It might be worth updating build-prereq.sh
to install a specific version for bazel. Thanks a lot for the help
from deepvariant.
The root cause here is that we are cloning a specific version of Tensorflow, while it (and other things) evolved to deal with the Bazel change. Normally, though, we don't want to just clone from TF HEAD because that can break us in other ways.
So a fix is to change settings.sh to use a more recent commit, like
export DV_TENSORFLOW_GIT_SHA="97a4c226e8a9e7c5c36fc38e2b9f8459c77abd5a"
(That compiles, but is otherwise untested.)
from deepvariant.
@scott7z Well, my feeling is that would be too much work, which could be fostered elsewhere. Unless there is a defined criteria for working off a specific revision, it is usually less of a benefit to be tied to a specific release. It'll also make the cost of supporting it too much of a headache, as the other dependencies will continue to evolve. I always prefer to simplify and feel it's more practical to push compliance of dependencies to their maintainers, while expanding on the fun part of adding community-driven features. For example, there over 1000 commits between the two SHAs, and it would be hard to keep track of so many contributions:
$ git log | grep commit | cat -n | grep '97a4c226e8a9e7c5c36fc38e2b9f8459c77abd5a\|ab0fcaceda001825654424bf18e8a8e0f8d39df2'
1 commit 97a4c226e8a9e7c5c36fc38e2b9f8459c77abd5a
1244 commit ab0fcaceda001825654424bf18e8a8e0f8d39df2
$
Usually more contributions to a dependency might provide us with more opportunities :)
from deepvariant.
We pushed a change that pins bazel to 0.8.1. That should take care of things for now.
from deepvariant.
Related Issues (20)
- Errors on testing DeepTrio on PacBio samples HOT 4
- Error on testing deepvariant for WES HOT 5
- splitting bam for deepvariant input HOT 5
- /opt/deepvariant/bin/deeptrio/run_deeptrio: No such file or directory HOT 6
- Issue with running docker image HOT 8
- I have built Deepvariant:1.6.0 successfully in my Ubuntu20.04. I want to know something about its usage. HOT 4
- Using PAR region flag seems to log NativeBedReader endlessly HOT 5
- Checkpointing / resuming analysis HOT 4
- How to understand the running results of deepvariant? HOT 3
- Representation of hemizygous genotypes as homozygous when using --haploid_contigs in postprocess_variants HOT 2
- Unable to run DeepVariant with Star Alignments for RNASeq data HOT 2
- docker pull from google/deepvariant:1.6.0-gpu ,but the python version is 3.11 and the proto file cannot import HOT 2
- deepvariant error on gpu HOT 2
- Updates to underlying tools in docker HOT 2
- Debug source code, but bazel compilation has some problems HOT 10
- Error running DeepVariant v1.1.0 HOT 4
- stuck for hours at candidate finding HOT 2
- GPU with less than 16GB memory HOT 3
- Is there any option to use sequencing error correction part only?
- deepvariant 1.6.0 with singularity gpu support HOT 5
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from deepvariant.