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Fixes for 4090 and Orin #876

Merged
merged 9 commits into from
Jul 24, 2023
Merged

Fixes for 4090 and Orin #876

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e8f53b6
Fix batch size for retinanet MS, nvidia-harness
arjunsuresh Jul 24, 2023
b35b7f5
Fixes for Jetson Orin
arjunsuresh Jul 24, 2023
98a2676
Merge branch 'master' of https://github.com/ctuning/mlcommons-ck
arjunsuresh Jul 24, 2023
6bc5a0c
Fix import
Ailurus1 Jul 24, 2023
20cc891
Updated docs
ctuning-admin Jul 24, 2023
028c397
server numbers for 4090 added
arjunsuresh Jul 24, 2023
4c18c35
Merge branch 'mlcommons:master' into master
arjunsuresh Jul 24, 2023
46d8451
cleaned up artifact evaluation docs
gfursin Jul 24, 2023
4c04430
Merge branch 'master' of https://github.com/ctuning/mlcommons-ck
gfursin Jul 24, 2023
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10 changes: 9 additions & 1 deletion cm-mlops/script/get-ml-model-retinanet/_cm.json
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,10 @@
},
"update_tags_from_env_with_prefix": {
"_url.": [ "CM_PACKAGE_URL" ]
}
},
"names": [
"dae"
]
}
],
"variations": {
Expand Down Expand Up @@ -87,6 +90,11 @@
"CM_UNZIP": "yes",
"CM_ML_MODEL_FILE": "retinanet_model_10.pth",
"CM_ML_MODEL_ACCURACY": "0.3755"
},
"add_deps_recursive": {
"dae": {
"tags": "_extract"
}
}
}
}
Expand Down
2 changes: 1 addition & 1 deletion cm-mlops/script/get-tensorrt/customize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ def preprocess(i):
env = i['env']


if env.get('CM_TENSORRT_TAR_FILE_PATH','')=='' and env.get('CM_TENSORRT_REQUIRE_DEV', '') != 'yes':
if env.get('CM_TENSORRT_TAR_FILE_PATH','')=='' and env.get('CM_TENSORRT_REQUIRE_DEV', '') != 'yes' and env.get('CM_HOST_PLATFORM_FLAVOR', '') != 'aarch64':

if os_info['platform'] == 'windows':
extra_pre=''
Expand Down
103 changes: 80 additions & 23 deletions cm-mlops/script/reproduce-mlperf-inference-nvidia/_cm.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -406,6 +406,30 @@ variations:
env:
MLPERF_NVIDIA_RUN_COMMAND: build
CM_MLPERF_NVIDIA_HARNESS_RUN_MODE: build
deps:
- tags: get,cmake
version_min: "3.18"

# Detect Google Logger
- tags: get,generic,sys-util,_glog-dev

# Detect GFlags
- tags: get,generic,sys-util,_gflags-dev

# Detect libgmock-dev
- tags: get,generic,sys-util,_libgmock-dev

# Detect libre2-dev
- tags: get,generic,sys-util,_libre2-dev

# Detect libnuma-dev
- tags: get,generic,sys-util,_libnuma-dev

# Detect libboost-all-dev
- tags: get,generic,sys-util,_libboost-all-dev

# Detect rapidjson-dev
- tags: get,generic,sys-util,_rapidjson-dev

preprocess_data:
group: run-mode
Expand Down Expand Up @@ -468,6 +492,7 @@ variations:
- batch-size
- triton
- build-engine-options

- tags: reproduce,mlperf,inference,nvidia,harness,_download_model
inherit_variation_tags: true
force_cache: true
Expand Down Expand Up @@ -682,44 +707,28 @@ variations:
CM_MODEL_BATCH_SIZE: "2048"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

resnet50,multistream,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

retinanet,multistream,run_harness:
gpu_memory.80,resnet50,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.1
env:
CM_MODEL_BATCH_SIZE: "1"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rnnt,multistream,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
tags: _batch_size.64
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MODEL_BATCH_SIZE: "64"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

3d-unet,multistream,run_harness:
resnet50,multistream,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

dlrm,multistream,run_harness:
retinanet,multistream,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
tags: _batch_size.2
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MODEL_BATCH_SIZE: "2"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

gpu_memory.16,retinanet,offline,run_harness:
Expand Down Expand Up @@ -754,6 +763,14 @@ variations:
CM_MODEL_BATCH_SIZE: "32"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

gpu_memory.80,retinanet,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

gpu_memory.16,rnnt,offline,run_harness:
add_deps_recursive:
build-engine:
Expand Down Expand Up @@ -863,6 +880,14 @@ variations:
CM_MODEL_BATCH_SIZE: "64"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,resnet50,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.64
env:
CM_MODEL_BATCH_SIZE: "64"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,retinanet,offline,run_harness:
add_deps_recursive:
build-engine:
Expand All @@ -871,6 +896,14 @@ variations:
CM_MODEL_BATCH_SIZE: "2"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,retinanet,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.2
env:
CM_MODEL_BATCH_SIZE: "2"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,bert_,offline,run_harness:
add_deps_recursive:
build-engine:
Expand All @@ -879,6 +912,14 @@ variations:
CM_MODEL_BATCH_SIZE: "256"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,bert_,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.256
env:
CM_MODEL_BATCH_SIZE: "256"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,3d-unet_,offline,run_harness:
add_deps_recursive:
build-engine:
Expand All @@ -887,6 +928,14 @@ variations:
CM_MODEL_BATCH_SIZE: "8"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,3d-unet_,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.8
env:
CM_MODEL_BATCH_SIZE: "8"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,rnnt,offline,run_harness:
add_deps_recursive:
build-engine:
Expand All @@ -895,6 +944,14 @@ variations:
CM_MODEL_BATCH_SIZE: "2048"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,rnnt,server,run_harness:
add_deps_recursive:
build-engine:
tags: _batch_size.512
env:
CM_MODEL_BATCH_SIZE: "512"
CM_MLPERF_NVIDIA_HARNESS_GPU_BATCH_SIZE: "<<<CM_MODEL_BATCH_SIZE>>>"

rtx_4090,dlrm_,offline,run_harness:
add_deps_recursive:
build-engine:
Expand Down
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