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Additionally, to be consistent with prev implementation `singularity` and `build_args` maybe overridden.\r\n\r\nKnown issue.\r\nIf during the configure phase, an error occured, you may need (depending on error)\r\n- Either install uidmap `sudo apt-get install uidmap`.\r\n- Overwrite `build_args` to disable --fakeroot singularity build argument that may be set automatically (e.g., mlcube run ... -Psingularity.build_args=\"''\").\r\n\r\nDetailed log.\r\nSet log level to `debug`: `mlcube --log-level=debug ...`.\r\n\r\nFixing singularity unit tests.\r\nPrevious implementation used the mock module to mock `io.open` calls to test mlcubes. This worked for all calls to `io.open`. New implementation invokes `subprocess.check_output` that seems to be using `io.open` internally that did not work with existing implementation. 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This values is the number of required accelerators, and semantically, is equivalent to docker's `--gpu=N` CLI argument.\r\n- It can be done on a command line using `--gpus` argument, e.g., `mlcube run ... --gpus=4`. This parameter accepts same values as docker's `--gpus` CLI argument does. Concretely:\r\n  - When not set MLCube will use platform.accelerator_count value if present.\r\n  - When set, this overrides any value assigned to platform.accelerator_count. Could be empty (`--gpus=`) to disable GPUs, all (`--gpus=all`) to use all available GPUs, GPU count (`--gpus=N`) or list of concrete GPUs (`--gpus=\"device=0,2\"`). In this list GPU indices or UUIDs can be used.\r\n\r\nDocker runner will pretty much use this value unmodified and will pass it to docker run command, e.g., `--gpus` flag will present. Singularity runner will pass `--nv` command when GPUs are requested. 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(#348)\n\nThis commit fixes bugs associated with the MLCube `run` command:\r\n- It now uses correct option decorators from the `cli` module (class `Options`) instead of deprecated decorators from the `__main__.py` file.\r\n- It now uses the `-P` option to correctly parse MLCube parameters that users provide on a command line.\r\n\r\nThe latter particularly fixes the #347 issue.","shortMessageHtmlLink":"Fixing command line interface for the <code>run</code> command. 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This fixes this error (https://github.com/kubeflow/pipelines/pull/9323), and thus unit tests for the MLCube KubeFlow runner should now be passing. 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