A collection of portable, reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)
$ cm version
2.3.1
$ cm pull repo mlcommons@cm4mlops --checkout=mlperf-inference
...
$ cm run script --tags=run-mlperf,inference,_performance-only,_short ^
--division=open ^
--category=edge ^
--device=cpu ^
--model=resnet50 ^
--precision=float32 ^
--implementation=mlcommons-python ^
--backend=onnxruntime ^
--scenario=Offline ^
--execution_mode=test ^
--power=no ^
--adr.python.version_min=3.8 ^
--clean ^
--compliance=no ^
--quiet ^
--time
Fails on downloading the Imagenet dataset with
Downloading to C:\CM\repos\local\cache\dd655002d28a4a6e\ILSVRC2012_img_val_500.tar
Downloaded: 100%
! cd C:\CM\repos\local\cache\dd655002d28a4a6e
! call C:\CM\repos\mlcommons@cm4mlops\script\download-file\run.bat from tmp-run.bat
! call "postprocess" from C:\CM\repos\mlcommons@cm4mlops\script\download-file\customize.py
! call "postprocess" from C:\CM\repos\mlcommons@cm4mlops\script\download-and-extract\customize.py
* cm run script "extract file _path.C:\CM\repos\local\cache\dd655002d28a4a6e\ILSVRC2012_img_val_500.tar"
* cm run script "detect os"
! cd C:\CM\repos\local\cache\dd655002d28a4a6e
! call C:\CM\repos\mlcommons@cm4mlops\script\detect-os\run.bat from tmp-run.bat
! call "postprocess" from C:\CM\repos\mlcommons@cm4mlops\script\detect-os\customize.py
* cm run script "get sys-utils-min"
! load C:\CM\repos\local\cache\96933db145474fca\cm-cached-state.json
Current directory: C:\CM\repos\local\cache\dd655002d28a4a6e
Command line: "mkdir "imagenet-2012-val" && tar -C "imagenet-2012-val" -xvf "C:\CM\repos\local\cache\dd655002d28a4a6e\ILSVRC2012_img_val_500.tar""
! cd C:\CM\repos\local\cache\dd655002d28a4a6e
! call C:\CM\repos\mlcommons@cm4mlops\script\extract-file\run.bat from tmp-run.bat
tar: Cannot change to directory C:\CM\repos\local\cache\dd655002d28a4a6e/imagenet-2012-val: No such file or directory
tar: Error is not recoverable: exiting now
The syntax of the command is incorrect.
CM error: Portable CM script failed (name = extract-file, return code = 255)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Note that it is often a portability issue of a third-party tool or a native script
wrapped and unified by this CM script (automation recipe). Please re-run
this script with --repro flag and report this issue with the original
command line, cm-repro directory and full log here:
https://github.com/mlcommons/cm4mlops/issues
The CM concept is to collaboratively fix such issues inside portable CM scripts
to make existing tools and native scripts more portable, interoperable
and deterministic. Thank you!
However, CM works fine when I use cm pull repo mlcommons@cm4mlops --checkout=dev
+----------+----------+----------+--------+-----------------+---------------------------------+
| Model | Scenario | Accuracy | QPS | Latency (in ms) | Power Efficiency (in samples/J) |
+----------+----------+----------+--------+-----------------+---------------------------------+
| resnet50 | Offline | - | 53.498 | - | |
+----------+----------+----------+--------+-----------------+---------------------------------+
To reproduce on Windows 11:
Fails on downloading the Imagenet dataset with
However, CM works fine when I use
cm pull repo mlcommons@cm4mlops --checkout=dev
Can someone help fix it please? Many thanks.