app-image-classification-tvm-onnx-py
Automatically generated README for this automation recipe: app-image-classification-tvm-onnx-py
Category: Modular AI/ML application pipeline
License: Apache 2.0
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Notes from the authors, contributors and users: README-extra
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CM meta description for this script: _cm.json
- Output cached? False
Reuse this script in your project
Install MLCommons CM automation meta-framework
Pull CM repository with this automation recipe (CM script)
cm pull repo mlcommons@cm4mlops
Print CM help from the command line
cmr "app image-classification python tvm-onnx" --help
Run this script
Run this script via CLI
cm run script --tags=app,image-classification,python,tvm-onnx[,variations]
Run this script via CLI (alternative)
cmr "app image-classification python tvm-onnx [variations]"
Run this script from Python
import cmind
r = cmind.access({'action':'run'
'automation':'script',
'tags':'app,image-classification,python,tvm-onnx'
'out':'con',
...
(other input keys for this script)
...
})
if r['return']>0:
print (r['error'])
Run this script via Docker (beta)
cm docker script "app image-classification python tvm-onnx[variations]"
Variations
-
No group (any combination of variations can be selected)
Click here to expand this section.
_cuda
- ENV variables:
- USE_CUDA:
yes
- USE_CUDA:
- ENV variables:
_llvm
Default environment
These keys can be updated via --env.KEY=VALUE
or env
dictionary in @input.json
or using script flags.
- CM_BATCH_COUNT:
1
- CM_BATCH_SIZE:
1
Native script being run
No run file exists for Windows
Script output
cmr "app image-classification python tvm-onnx [variations]" -j