forked from mlcommons/cm4mlperf-inference
-
Notifications
You must be signed in to change notification settings - Fork 3
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Results from self hosted Github actions - NVIDIARTX4090
- Loading branch information
1 parent
ebfc1c3
commit 7c89029
Showing
30 changed files
with
1,072 additions
and
0 deletions.
There are no files selected for viewing
3 changes: 3 additions & 0 deletions
3
...ons/measurements/3b07702db56d-reference-gpu-pytorch_v2.4.1-scc24-base/README.md
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,3 @@ | ||
| Model | Scenario | Accuracy | Throughput | Latency (in ms) | | ||
|---------------------|------------|-----------------------|--------------|-------------------| | ||
| stable-diffusion-xl | offline | (15.18544, 235.69504) | 0.376 | - | |
7 changes: 7 additions & 0 deletions
7
...ase/stable-diffusion-xl/offline/3b07702db56d-reference-gpu-pytorch_v2.4.1-scc24-base.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,7 @@ | ||
{ | ||
"starting_weights_filename": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0", | ||
"retraining": "no", | ||
"input_data_types": "fp32", | ||
"weight_data_types": "fp32", | ||
"weight_transformations": "no" | ||
} |
94 changes: 94 additions & 0 deletions
94
...d-reference-gpu-pytorch_v2.4.1-scc24-base/stable-diffusion-xl/offline/README.md
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,94 @@ | ||
This experiment is generated using the [MLCommons Collective Mind automation framework (CM)](https://github.com/mlcommons/cm4mlops). | ||
|
||
*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* | ||
|
||
## Host platform | ||
|
||
* OS version: Linux-6.2.0-39-generic-x86_64-with-glibc2.35 | ||
* CPU version: x86_64 | ||
* Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] | ||
* MLCommons CM version: 2.3.9 | ||
|
||
## CM Run Command | ||
|
||
See [CM installation guide](https://docs.mlcommons.org/inference/install/). | ||
|
||
```bash | ||
pip install -U cmind | ||
|
||
cm rm cache -f | ||
|
||
cm pull repo gateoverflow@cm4mlops --checkout=d5f275ad39320079813abcba74a68d3a41f9ed46 | ||
|
||
cm run script \ | ||
--tags=app,mlperf,inference,generic,_reference,_sdxl,_pytorch,_cuda,_test,_r4.1-dev_default,_float16,_offline \ | ||
--quiet=true \ | ||
--env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes \ | ||
--env.CM_QUIET=yes \ | ||
--env.CM_MLPERF_IMPLEMENTATION=reference \ | ||
--env.CM_MLPERF_MODEL=sdxl \ | ||
--env.CM_MLPERF_RUN_STYLE=test \ | ||
--env.CM_MLPERF_BACKEND=pytorch \ | ||
--env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=datacenter \ | ||
--env.CM_MLPERF_CLEAN_ALL=True \ | ||
--env.CM_MLPERF_DEVICE=cuda \ | ||
--env.CM_MLPERF_USE_DOCKER=True \ | ||
--env.CM_MLPERF_MODEL_PRECISION=float16 \ | ||
--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIO=Offline \ | ||
--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ | ||
--env.CM_MLPERF_INFERENCE_VERSION=4.1-dev \ | ||
--env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r4.1-dev_default \ | ||
--env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=short \ | ||
--env.CM_MLPERF_SUT_NAME_RUN_CONFIG_SUFFIX4=scc24-base \ | ||
--env.CM_MLPERF_LOADGEN_ALL_MODES=yes \ | ||
--env.CM_MLPERF_LAST_RELEASE=v4.0 \ | ||
--env.CM_TMP_CURRENT_PATH=/home/arjun/actions-runner/_work/cm4mlops/cm4mlops \ | ||
--env.CM_TMP_PIP_VERSION_STRING= \ | ||
--env.CM_CLEAN_EXTRA_CACHE_RM_TAGS=scc24-main \ | ||
--env.CM_MODEL=sdxl \ | ||
--env.CM_MLPERF_LOADGEN_COMPLIANCE=no \ | ||
--env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \ | ||
--env.CM_RERUN=yes \ | ||
--env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= \ | ||
--env.CM_MLPERF_LOADGEN_MODE=performance \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline \ | ||
--env.CM_MLPERF_LOADGEN_MODES,=performance,accuracy \ | ||
--env.CM_OUTPUT_FOLDER_NAME=test_results \ | ||
--add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.submission-checker.tags=_short-run \ | ||
--add_deps_recursive.coco2014-preprocessed.tags=_size.50,_with-sample-ids \ | ||
--add_deps_recursive.coco2014-dataset.tags=_size.50,_with-sample-ids \ | ||
--add_deps_recursive.nvidia-preprocess-data.extra_cache_tags=scc24-base \ | ||
--v=False \ | ||
--print_env=False \ | ||
--print_deps=False \ | ||
--dump_version_info=True \ | ||
--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ | ||
--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ | ||
--env.SDXL_CHECKPOINT_PATH=/home/cmuser/CM/repos/local/cache/6be1f30ecbde4c4e/stable_diffusion_fp16 | ||
``` | ||
*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts), | ||
you should simply reload gateoverflow@cm4mlops without checkout and clean CM cache as follows:* | ||
|
||
```bash | ||
cm rm repo gateoverflow@cm4mlops | ||
cm pull repo gateoverflow@cm4mlops | ||
cm rm cache -f | ||
|
||
``` | ||
|
||
## Results | ||
|
||
Platform: 3b07702db56d-reference-gpu-pytorch_v2.4.1-scc24-base | ||
|
||
Model Precision: fp32 | ||
|
||
### Accuracy Results | ||
`CLIP_SCORE`: `15.18544`, Required accuracy for closed division `>= 31.68632` and `<= 31.81332` | ||
`FID_SCORE`: `235.69504`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008` | ||
|
||
### Performance Results | ||
`Samples per second`: `0.375638` |
Empty file.
Oops, something went wrong.