From 1ed23ab00443690d229eaa9ccb9a1d26536fc480 Mon Sep 17 00:00:00 2001 From: Robert Muchsel Date: Wed, 6 Sep 2023 14:21:01 -0500 Subject: [PATCH] README: Document file descriptor limits and out-of-memory conditions (#303) --- .gitignore | 2 +- README.md | 45 ++++++++++++++++++++++++++++++++++++++++++++- README.pdf | Bin 6753503 -> 6766540 bytes 3 files changed, 45 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index a243dd92..c50f79cc 100644 --- a/.gitignore +++ b/.gitignore @@ -13,5 +13,5 @@ /super-linter.log /super-linter.report/ /.version-check -/venv/ +/venv*/ /sdk/ diff --git a/README.md b/README.md index 2236c3c2..2d19deb3 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ADI MAX78000/MAX78002 Model Training and Synthesis -June 27, 2023 +August 7, 2023 ADI’s MAX78000/MAX78002 project is comprised of five repositories: @@ -1348,6 +1348,49 @@ Since training can take a significant amount of time, the training script does n 3. On resource constrained systems, training may abort with an error message such as `RuntimeError: unable to open shared memory object in read-write mode`. Add `--workers=0` when running the training script. +4. By default, many systems limit the number of open file descriptors. `train.py` checks this limit and prints `WARNING: The open file limit is 2048. Please raise the limit (see documentation)` when the limit is low. When the limit is too low, certain actions might abort: + + ```shell + (ai8x-training) $ scripts/evaluate_facedet_tinierssd.sh + WARNING: The open file limit is 1024. Please raise the limit (see documentation). + ... + --- test --------------------- + 165656 samples (256 per mini-batch) + {'multi_box_loss': {'alpha': 2, 'neg_pos_ratio': 3}, 'nms': {'min_score': 0.75, 'max_overlap': 0.3, 'top_k': 20}} + Traceback (most recent call last): + ... + RuntimeError: unable to open shared memory object in read-write mode + OSError: [Errno 24] Too many open files + ... + ``` + + To fix this issue, check `ulimit -n` (the soft limit) as well as `ulimit -n -H` (the hard limit) and raise the file descriptor limit using `ulimit -n NUMBER` where NUMBER cannot exceed the hard limit. Note that on many Linux systems, the defaults can be configured in `/etc/security/limits.conf`. + +5. Datasets with larger-dimension images may require substantial amounts of system RAM. For example, `scripts/train_kinetics.sh` is configured for systems with 64 GB of RAM. When the system runs out of memory, training is abruptly killed and the error is logged to system journal. The following examples are from a system with 48 GB of RAM: + + ```shell + ... + Epoch: [13][ 142/ 142] Overall Loss 1.078153 Objective Loss 1.078153 Top1 64.062500 LR 0.000500 Time 1.247024 + --- validate (epoch=13)----------- + 1422 samples (32 per mini-batch) + Epoch: [13][ 10/ 45] Loss 1.082790 Top1 60.937500 + Epoch: [13][ 20/ 45] Loss 1.099474 Top1 60.312500 + Epoch: [13][ 30/ 45] Loss 1.113100 Top1 59.791667 + Killed + ``` + + and from the system journal: + + ```shell + kernel: oom-kill:constraint=CONSTRAINT_NONE,nodemask=(null),cpuset=/,mems_allowed=0,global_oom,task_memcg=/user.slice/user-1000.slice/session-11289.scope,task=python,pid=226828,uid=1000 + kernel: Out of memory: Killed process 226828 (python) total-vm:81269752kB, anon-rss:5711328kB, file-rss:146056kB, shmem-rss:648024kB, UID:1000 pgtables:97700kB oom_score_adj:0 + kernel: oom_reaper: reaped process 226828 (python), now anon-rss:0kB, file-rss:145268kB, shmem-rss:648024kB + ``` + + Training might succeed after reducing the batch size, reducing image dimensions, or pruning the dataset. Unfortunately, the only real fix for this issue is more system RAM. In the example, `kinetics_get_datasets()` from `datasets/kinetics.py` states “The current implementation of using 2000 training and 150 test examples per class at 240×240 resolution and 5 frames per second requires around 50 GB of RAM.” + + + ### Example Training Session diff --git a/README.pdf b/README.pdf index c67b565201820d8f230f70d5707c8f1252a77aeb..854b19cff3a112c7d2e3d21cca232aae5a685fb4 100644 GIT binary patch delta 976899 zcmY(}V{j%>n+D*CZQHhOn{RB}o+NK}6(yO@C#BB?tpq*@*=OVO`x^%#H0~y+CU8HeB%AF#K-o&bnJvEvo)fI7S^& zL}D-%rdLuUv2vgvN8o1RPk9KkRlF-9rnv?<#Ej#psy0|eKr-IA+ys@pxPAgYT@CiX zl(}BGxn5Q%zZij8LcYHGr+u zZh}eY8)iSQln-_e{oOXTjg_Yqqz663CvM!rQ*Xd*>Sg^co|m1JQojABi`^S$N|=ic zv%7ts(ctu=^|g=~%M0cbPHClGziz&owgJN-PHte(+W__1f?)O7fXyZOJ1pd=!}J{E zgHYbd%oX7w8Y{5v<=p)F&*L)n>m&b{lmWlb4^ejme(!`}@nkGugW-Hq7L}FP#n1ZF zzePZ1fqHq2)Gxn}mxL6D{NJVJ8Y#F+&NG8)=!UO|cwaAJ+o!pUG(QdQrlQxb9?}dK z(=@|!&E}%8E~0V1GV?w;zWyx-{?j@}`cQB6Lx67EI5!6p+8I6iz8*Te8Pj-)B 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