jubueche
commented
5 months ago Possibly related: https://github.com/microsoft/DeepSpeed/issues/5205
Open jubueche opened 5 months ago
jubueche
commented
5 months ago Possibly related: https://github.com/microsoft/DeepSpeed/issues/5205
loadams
commented
3 months ago @jubueche - the related PR is now resolved, can you see if you are still hitting this if you use the latest DeepSpeed?
ClaartjeBarkhofTNO
commented
3 weeks ago I am also experiencing this issue on a SLURM managed system
[2024-11-04 16:34:44,280] [INFO] [logging.py:96:log_dist] [Rank 0] Wrote metrics to /gpfs/home3/cbarkhof/transformers-deepspeed/autotuning_metric.json, /gpfs/home3/cbarkhof/transformers-deepspeed/autotuning_metric.json
0%| | 1/10000 [00:08<23:10:23, 8.34s/it]
0%| | 2/10000 [00:09<12:00:48, 4.33s/it]
0%| | 3/10000 [00:11<8:26:40, 3.04s/it]
0%| | 4/10000 [00:12<6:47:47, 2.45s/it]
0%| | 5/10000 [00:14<5:51:39, 2.11s/it]
0%| | 5/10000 [00:15<8:50:52, 3.19s/it]
Autotuning: done with running current ds config.
Exception ignored in atexit callback: <function matmul_ext_update_autotune_table at 0x14eba8baf920>
Traceback (most recent call last):
File "/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/deepspeed/ops/transformer/inference/triton/matmul_ext.py", line 477, in matmul_ext_update_autotune_table
fp16_matmul._update_autotune_table()
File "/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/deepspeed/ops/transformer/inference/triton/matmul_ext.py", line 454, in _update_autotune_table
TritonMatmul._update_autotune_table(__class__.__name__ + "_2d_kernel", __class__._2d_kernel)
File "/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/deepspeed/ops/transformer/inference/triton/matmul_ext.py", line 183, in _update_autotune_table
cache_manager.put(autotune_table)
File "/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/deepspeed/ops/transformer/inference/triton/matmul_ext.py", line 102, in put
os.rename(self.file_path + ".tmp", self.file_path)
FileNotFoundError: [Errno 2] No such file or directory: '/home/cbarkhof/autotune/.cache/Fp16Matmul_2d_kernel.pickle.tmp' -> '/home/cbarkhof/autotune/.cache/Fp16Matmul_2d_kernel.pickle'[2024-11-04 16:33:47,323] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
[WARNING] async_io requires the dev libaio .so object and headers but these were not found.
[WARNING] async_io: please install the libaio-devel package with yum
[WARNING] If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
async_io ............... [NO] ....... [NO]
fused_adam ............. [NO] ....... [OKAY]
cpu_adam ............... [NO] ....... [OKAY]
cpu_adagrad ............ [NO] ....... [OKAY]
cpu_lion ............... [NO] ....... [OKAY]
[WARNING] Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
evoformer_attn ......... [NO] ....... [NO]
[WARNING] FP Quantizer is using an untested triton version (2.2.0), only 2.3.(0, 1) and 3.0.0 are known to be compatible with these kernels
fp_quantizer ........... [NO] ....... [NO]
fused_lamb ............. [NO] ....... [OKAY]
fused_lion ............. [NO] ....... [OKAY]
[WARNING] gds requires the dev libaio .so object and headers but these were not found.
[WARNING] gds: please install the libaio-devel package with yum
[WARNING] If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
gds .................... [NO] ....... [NO]
transformer_inference .. [NO] ....... [OKAY]
inference_core_ops ..... [NO] ....... [OKAY]
cutlass_ops ............ [NO] ....... [OKAY]
quantizer .............. [NO] ....... [OKAY]
ragged_device_ops ...... [NO] ....... [OKAY]
ragged_ops ............. [NO] ....... [OKAY]
random_ltd ............. [NO] ....... [OKAY]
[WARNING] sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.2
[WARNING] using untested triton version (2.2.0), only 1.0.0 is known to be compatible
sparse_attn ............ [NO] ....... [NO]
spatial_inference ...... [NO] ....... [OKAY]
transformer ............ [NO] ....... [OKAY]
stochastic_transformer . [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/torch']
torch version .................... 2.2.2+cu121
deepspeed install path ........... ['/gpfs/home3/cbarkhof/transformers-deepspeed/.venv/lib/python3.11/site-packages/deepspeed']
deepspeed info ................... 0.15.2, unknown, unknown
torch cuda version ............... 12.1
torch hip version ................ None
nvcc version ..................... 12.1
deepspeed wheel compiled w. ...... torch 0.0, cuda 0.0
shared memory (/dev/shm) size .... 377.81 GBIs there any workaround for this?
jubueche
commented
3 weeks ago @loadams I haven't tried yet and have just used my "workaround" since. @ClaartjeBarkhofTNO this works for me:
def put(self, table):
if self.file_path:
assert self.lock_path is not None
# with FileLock(self.lock_path):
# with open(self.file_path + ".tmp", 'wb') as handle:
# pickle.dump(table, handle)
# os.rename(self.file_path + ".tmp", self.file_path)@loadams this is probably really bad, but it is surprisingly working. Would you know why?
loadams
commented
3 weeks ago @ClaartjeBarkhofTNO and @jubueche - thanks for the update on this, we will take a look.
Can you share your DeepSpeed version as well as any other info about your system you can share beyone using SLURM?
Describe the bug I am training an LLM using DeepSpeed and 12 nodes a 8 V100s per node. My training is generally working well (thanks DeepSpeed), but when I run multiple training runs in parallel, I run into trouble. I am getting these kinds of errors
I thought that this is because maybe the directories are shared between the multiple runs, which can create race conditions. My
TMPDIR,TRITON_CACHE_DIR, andTORCH_EXTENSIONS_DIRare set as followsTo fix this, I tried to allocate one cache folder per run like so
but that also didn't work. Now I am getting this error
ds_report output