vessl experiment

Overview
Run vessl experiment --help to view the list of commands, vessl experiment [COMMAND] -help to view individual command instructions.
Create an experiment
vessl experiment create [OPTIONS]
Option
Description
-c, --cluster
Cluster name (must be specified before other options)
-x, --command
Start command to execute in experiment container
-r, --resource
Resource type to run an experiment (for managed cluster only)
--processor-type
CPU or GPU (for custom cluster only)
--cpu-limit
Number of vCPUs (for custom cluster only)
--memory-limit
Memory limit in GiB (for custom cluster only)
--gpu-type
GPU type (for custom cluster only)
ex. Tesla-K80
--gpu-limit
Number of GPU cores (for custom cluster only)
--image-url
Kernel docker image URL.
--upload-local-file (multiple)
Upload local file. Format: [local_path] or [local_path]:[remote_path].
ex. --upload-local-file my-project:/root/my-project
--upload-local-git-diff
Upload local git commit hash and diff (only works in project repositories)
-i, --image-url
Kernel docker image URL
ex. vessl/kernels:py36.full-cpu
-m, --message
Message
--termination-protection
Enable termination protection
-h, --hyperparameter (multiple)
Hyperparameters in the form of [key]=[value]
ex. -h lr=0.01 -h epochs=100
--dataset (multiple)
Dataset mounts in the form of [mount_path] [dataset_name]
ex. --dataset /input mnist
--root-volume-size
Root volume size (defaults to 20Gi)
--working-dir
Working directory path (defaults to /root/)
--output-dir
Output directory path (defaults to /output
--local-project
Local project file URL
--worker-count
Number of workers (for distributed experiment only)
--framework-type
Specify pytorch or tensorflow(for distributed experiment only)
Download experiment output files
Each user can define experiment output files. You can save validation results, trained checkpoints, best performing models and other artifacts.
vessl experiment download-output [OPTIONS] NUMBER
Argument
Description
NUMBER
Experiment number
Option
Description
-p, --path
Local download path (defaults to./output)
--worker-number
Worker number (for distributed experiment only)
List all experiments
vessl experiment list
List experiment output files
Each user can define experiment output files. You can save validation results, trained checkpoints, best models, and other artifacts.
vessl experiment list-output [OPTIONS] NUMBER
Argument
Description
NUMBER
Experiment number
Option
Description
-r, --recursive
List files recursively
--worker-number
Worker number (for distributed experiment only)
View logs of the experiment container
vessl experiment logs [OPTIONS] NUMBER
Argument
Description
NUMBER
Experiment number
Option
Description
--tail
Number of lines to display from the end (defaults to 200)
--worker-number
Worker number (for distributed experiment only)
View information on the experiment
vessl experiment read NUMBER
Argument
Description
NUMBER
Experiment number
Terminate an experiment
vessl experiment terminate NUMBER
Argument
Description
NUMBER
Experiment number

Option	Description
`-c`, `--cluster`	Cluster name (must be specified before other options)
`-x`, `--command`	Start command to execute in experiment container
`-r`, `--resource`	Resource type to run an experiment (for managed cluster only)
`--processor-type`	`CPU` or `GPU` (for custom cluster only)
`--cpu-limit`	Number of vCPUs (for custom cluster only)
`--memory-limit`	Memory limit in GiB (for custom cluster only)
`--gpu-type`	GPU type (for custom cluster only) ex. `Tesla-K80`
`--gpu-limit`	Number of GPU cores (for custom cluster only)
`--image-url`	Kernel docker image URL.
`--upload-local-file` (multiple)	Upload local file. Format: [local_path] or [local_path]:[remote_path]. ex. `--upload-local-file my-project:/root/my-project`
`--upload-local-git-diff`	Upload local git commit hash and diff (only works in project repositories)
`-i`, `--image-url`	Kernel docker image URL ex. `vessl/kernels:py36.full-cpu`
`-m`, `--message`	Message
`--termination-protection`	Enable termination protection
`-h`, `--hyperparameter` (multiple)	Hyperparameters in the form of `[key]=[value]` ex. `-h lr=0.01 -h epochs=100`
`--dataset` (multiple)	Dataset mounts in the form of `[mount_path] [dataset_name]` ex. `--dataset /input mnist`
`--root-volume-size`	Root volume size (defaults to `20Gi`)
`--working-dir`	Working directory path (defaults to `/root/`)
`--output-dir`	Output directory path (defaults to `/output`
`--local-project`	Local project file URL
`--worker-count`	Number of workers (for distributed experiment only)
`--framework-type`	Specify `pytorch` or `tensorflow`(for distributed experiment only)

Argument	Description
`NUMBER`	Experiment number

Option	Description
`-p`, `--path`	Local download path (defaults to`./output`)
`--worker-number`	Worker number (for distributed experiment only)

Argument	Description
`NUMBER`	Experiment number

Option	Description
`-r`, `--recursive`	List files recursively
`--worker-number`	Worker number (for distributed experiment only)

Argument	Description
`NUMBER`	Experiment number

Option	Description
`--tail`	Number of lines to display from the end (defaults to 200)
`--worker-number`	Worker number (for distributed experiment only)

Argument	Description
`NUMBER`	Experiment number

Argument	Description
`NUMBER`	Experiment number

vessl dataset

vessl image

Last modified 1yr ago