Advanced usage¶
File system I/O¶
The tesseract
command can take care of
passing data from local disk
(or any fsspec-compatible resource,
like HTTP, FTP, S3 Buckets, and so on) to a Tesseract via the @
syntax.
If you want to write the output of a Tesseract to a file,
you can use the --output-path
parameter, which also supports any
fsspec-compatible
target path:
$ tesseract run vectoradd apply --output-path /tmp/output @inputs.json
Using GPUs¶
To leverage GPU support in your Tesseract environment, you can specify which NVIDIA GPU(s) to make available
using the --gpus
argument when running a Tesseract command. This allows you to select specific GPUs or
enable all available GPUs for a task.
To run Tesseract on a specific GPU, provide its index:
$ tesseract run --gpus 0 helloworld apply '{"inputs": {"name": "Osborne"}}'
To make all available GPUs accessible, use the --gpus all
option:
$ tesseract run --gpus all helloworld apply '{"inputs": {"name": "Osborne"}}'
You can also specify multiple GPUs individually:
$ tesseract run --gpus 0 --gpus 1 helloworld apply '{"inputs": {"name": "Osborne"}}'
The GPUs are indexed starting at zero with the same convention as nvidia-smi
.