We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I'm trying to run ti_paga and getting memory issues as below
model = dynwrap::infer_trajectory(dataset, ti_paga(), verbose = TRUE) Executing 'paga' on '20200507_013618__data_wrapper__wvr0AOl9GO' With parameters: list(filter_features = TRUE, n_neighbors = 15L, n_comps = 50L, n_dcs = 15L, resolution = 1L, embedding_type = "fa", connectivity_cutoff = 0.05) inputs: counts priors : start_id Input saved to /tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5218c660/ti Running method using babelwhale Running /usr/local/bin/docker run --name 20200507_025418__container__QQk5pCSMeC -e 'TMPDIR=/tmp2' --workdir /ti/workspace -v '/tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5218c660/ti:/ti' -v '/tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5887f2bb/tmp:/tmp2' 'dynverse/ti_paga:v0.9.9.05' --dataset /ti/input.h5 --output /ti/output.h5 --use_priors all Container was killed, possibly because it ran out of memory (error code 137)Error: Error during trajectory inference, see output above ↑↑↑
The text was updated successfully, but these errors were encountered:
you may want to adjust the docker container memory limit!
Sorry, something went wrong.
No branches or pull requests
I'm trying to run ti_paga and getting memory issues as below
model = dynwrap::infer_trajectory(dataset, ti_paga(), verbose = TRUE)
Executing 'paga' on '20200507_013618__data_wrapper__wvr0AOl9GO'
With parameters: list(filter_features = TRUE, n_neighbors = 15L, n_comps = 50L, n_dcs = 15L, resolution = 1L, embedding_type = "fa", connectivity_cutoff = 0.05)
inputs: counts
priors : start_id
Input saved to /tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5218c660/ti
Running method using babelwhale
Running /usr/local/bin/docker run --name
20200507_025418__container__QQk5pCSMeC -e 'TMPDIR=/tmp2' --workdir
/ti/workspace -v
'/tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5218c660/ti:/ti'
-v
'/tmp/folders/g0/w9p16d056l1d15r38h9r2y8m0000gn/T//RtmpCfNfyx/file84bf5887f2bb/tmp:/tmp2'
'dynverse/ti_paga:v0.9.9.05' --dataset /ti/input.h5 --output
/ti/output.h5 --use_priors all
Container was killed, possibly because it ran out of memory (error code 137)Error: Error during trajectory inference, see output above ↑↑↑
The text was updated successfully, but these errors were encountered: