I had a couple of the ATM's finish successfully a week ago, but long cleared from the database for anyone to look at.

Here is one completed Pop Piasa
https://www.gpugrid.net/result.php?resultid=33327466

Thanks Greger, it's good to have a successful example to compare with when examining errors. I appreciate it.

Windows here. You know, sometimes these WUs go to sleep, then I click the mouse and it starts running again. Not all WUs.

task 33333635

Maybe you can change system power settings?
Disable spinning down hard drive for example?

My recent results uploaded to GPUGRID often got "Error while computing" and lost all credits, I don't know why, what should I do ?

33359888 27429785 604308
17 Mar 2023 | 13:14:49 UTC 19 Mar 2023 | 14:23:21 UTC
Error while computing 50,964.34 50,964.34 ---
Python apps for GPU hosts v4.04 (cuda1131)


19/3/2023 17:37:41 | | Starting BOINC client version 7.20.2 for windows_x86_64
19/3/2023 17:37:41 | | log flags: file_xfer, sched_ops, task
19/3/2023 17:37:41 | | Libraries: libcurl/7.84.0-DEV Schannel zlib/1.2.12
19/3/2023 17:37:41 | | Data directory: C:\ProgramData\BOINC
19/3/2023 17:37:41 | |
19/3/2023 17:37:41 | | CUDA: NVIDIA GPU 0: NVIDIA GeForce RTX 3060 (driver version 531.18, CUDA version 12.1, compute capability 8.6, 12288MB, 12288MB available, 12738 GFLOPS peak)
19/3/2023 17:37:41 | | OpenCL: NVIDIA GPU 0: NVIDIA GeForce RTX 3060 (driver version 531.18, device version OpenCL 3.0 CUDA, 12288MB, 12288MB available, 12738 GFLOPS peak)
19/3/2023 17:37:41 | | Windows processor group 0: 20 processors
19/3/2023 17:37:41 | | Host name: NGcomputer
19/3/2023 17:37:41 | | Processor: 20 GenuineIntel 12th Gen Intel(R) Core(TM) i7-12700F [Family 6 Model 151 Stepping 2]
19/3/2023 17:37:41 | | Processor features: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush acpi mmx fxsr sse sse2 ss htt tm pni ssse3 fma cx16 sse4_1 sse4_2 movebe popcnt aes f16c rdrandsyscall nx lm avx avx2 tm2 pbe fsgsbase bmi1 smep bmi2
19/3/2023 17:37:41 | | OS: Microsoft Windows Vista: Home Premium x64 Edition, Service Pack 2, (06.00.6002.00)
19/3/2023 17:37:41 | | Memory: 15.76 GB physical, 63.76 GB virtual
19/3/2023 17:37:41 | | Disk: 952.93 GB total, 700.19 GB free
19/3/2023 17:37:41 | | Local time is UTC +8 hours
19/3/2023 17:37:41 | | No WSL found.
19/3/2023 17:37:41 | | VirtualBox version: 7.0.6

You have to look at the errored task results on the website to find why you errored.

Two of the tasks errored out because you don't have enough virtual memory available for the expansion phase where the task sets up its libraries.

On Windows it is advised to set up your system page file for at least 50GB size.

You have to look at the errored task results on the website to find why you errored.

Two of the tasks errored out because you don't have enough virtual memory available for the expansion phase where the task sets up its libraries.

On Windows it is advised to set up your system page file for at least 50GB size.

Thank you very much

The server status shows WU's are available but my machines have received no task since yesterday.

Hello!

The previous population experiment ended and needed to analyse the results.
But I am starting a new experiment today.

---

I don't understand why my task fail, why ?

Name e00002a04604-ABOU_rnd_ppod_expand_demos29_2_exp5-0-1-RND9901_1
Workunit 27434170
Created 20 Mar 2023 | 22:42:54 UTC
Sent 21 Mar 2023 | 0:31:58 UTC
Received 21 Mar 2023 | 11:05:25 UTC
Server state Over
Outcome Computation error
Client state Compute error
Exit status 195 (0xc3) EXIT_CHILD_FAILED
Computer ID 604308
Report deadline 26 Mar 2023 | 0:31:58 UTC
Run time 13,385.72
CPU time 13,385.72
Validate state Invalid
Credit 0.00
Application version Python apps for GPU hosts v4.04 (cuda1131)
Stderr output

<core_client_version>7.20.2</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code 195 (0xc3)</message>
<stderr_txt>
08:32:00 (19880): wrapper (7.9.26016): starting
08:32:00 (19880): wrapper: running .\7za.exe (x pythongpu_windows_x86_64__cuda1131.txz -y)

7-Zip (a) 22.01 (x86) : Copyright (c) 1999-2022 Igor Pavlov : 2022-07-15

Scanning the drive for archives:
1 file, 1976180228 bytes (1885 MiB)

Extracting archive: pythongpu_windows_x86_64__cuda1131.txz
--
Path = pythongpu_windows_x86_64__cuda1131.txz
Type = xz
Physical Size = 1976180228
Method = LZMA2:22 CRC64
Streams = 1523
Blocks = 1523
Cluster Size = 4210688

Everything is Ok

Size: 6410311680
Compressed: 1976180228
08:34:12 (19880): .\7za.exe exited; CPU time 107.906250
08:34:12 (19880): wrapper: running C:\Windows\system32\cmd.exe (/C "del pythongpu_windows_x86_64__cuda1131.txz")
08:34:13 (19880): C:\Windows\system32\cmd.exe exited; CPU time 0.000000
08:34:13 (19880): wrapper: running .\7za.exe (x pythongpu_windows_x86_64__cuda1131.tar -y)

7-Zip (a) 22.01 (x86) : Copyright (c) 1999-2022 Igor Pavlov : 2022-07-15

Scanning the drive for archives:
1 file, 6410311680 bytes (6114 MiB)

Extracting archive: pythongpu_windows_x86_64__cuda1131.tar
--
Path = pythongpu_windows_x86_64__cuda1131.tar
Type = tar
Physical Size = 6410311680
Headers Size = 19965952
Code Page = UTF-8
Characteristics = GNU LongName ASCII

Everything is Ok

Files: 38141
Size: 6380353601
Compressed: 6410311680
08:35:04 (19880): .\7za.exe exited; CPU time 9.515625
08:35:04 (19880): wrapper: running C:\Windows\system32\cmd.exe (/C "del pythongpu_windows_x86_64__cuda1131.tar")
08:35:05 (19880): C:\Windows\system32\cmd.exe exited; CPU time 0.000000
08:35:05 (19880): wrapper: running python.exe (run.py)
Windows fix executed.
Detected GPUs: 1
Define environment factory
Define algorithm factory
Define storage factory
Define scheme
Created CWorker with worker_index 0
Created GWorker with worker_index 0
Created UWorker with worker_index 0
Created training scheme.
Define learner
Created Learner.
Detected memory leaks!
Dumping objects ->
..\api\boinc_api.cpp(309) : {16368} normal block at 0x0000025533011E30, 8 bytes long.
Data: < 4U > 00 00 D1 34 55 02 00 00
..\lib\diagnostics_win.cpp(417) : {15114} normal block at 0x000002553306C260, 1080 bytes long.
Data: < > D8 1D 00 00 CD CD CD CD 8C 01 00 00 00 00 00 00
..\zip\boinc_zip.cpp(122) : {550} normal block at 0x0000025532FFBE70, 260 bytes long.
Data: < > 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
{536} normal block at 0x0000025532FFEC80, 52 bytes long.
Data: < r > 01 00 00 00 72 00 CD CD 00 00 00 00 00 00 00 00
{531} normal block at 0x0000025533009E00, 43 bytes long.
Data: < p > 01 00 00 00 70 00 CD CD 00 00 00 00 00 00 00 00
{526} normal block at 0x000002553300A940, 44 bytes long.
Data: < a 3U > 01 00 00 00 00 00 CD CD 61 A9 00 33 55 02 00 00
{521} normal block at 0x000002553300A080, 44 bytes long.
Data: < 3U > 01 00 00 00 00 00 CD CD A1 A0 00 33 55 02 00 00
Object dump complete.
16:26:14 (3936): wrapper (7.9.26016): starting
16:26:14 (3936): wrapper: running python.exe (run.py)
Windows fix executed.
Detected GPUs: 1
Define environment factory
Define algorithm factory
Define storage factory
Define scheme
Created CWorker with worker_index 0
Created GWorker with worker_index 0
Created UWorker with worker_index 0
Created training scheme.
Define learner
Created Learner.
Look for a progress_last_chk file - if exists, adjust target_env_steps
Define train loop
Traceback (most recent call last):
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 196, in get_data
self.next_batch = self.batches.__next__()
StopIteration

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "run.py", line 471, in <module>
main()
File "run.py", line 136, in main
learner.step()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\learner.py", line 46, in step
info = self.update_worker.step()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\updates\u_worker.py", line 118, in step
self.updater.step()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\updates\u_worker.py", line 259, in step
grads = self.local_worker.step(self.decentralized_update_execution)
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 178, in step
self.get_data()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 211, in get_data
self.collector.step()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 490, in step
rollouts = self.local_worker.collect_data(listen_to=["sync"], data_to_cpu=False)
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\collection\c_worker.py", line 168, in collect_data
train_info = self.collect_train_data(listen_to=listen_to)
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\scheme\collection\c_worker.py", line 242, in collect_train_data
obs2, reward, done2, episode_infos = self.envs_train.step(clip_act)
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\agent\env\vec_envs\vec_env_base.py", line 85, in step
return self.step_wait()
File "C:\ProgramData\BOINC\slots\16\lib\site-packages\pytorchrl\agent\env\vec_envs\vector_wrappers.py", line 72, in step_wait
obs = torch.from_numpy(obs).float().to(self.device)
RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\c10\core\impl\alloc_cpu.cpp:81] data. DefaultCPUAllocator: not enough memory: you tried to allocate 3612672 bytes.
19:03:33 (3936): python.exe exited; CPU time 10494.140625
19:03:33 (3936): app exit status: 0x1
19:03:33 (3936): called boinc_finish(195)
0 bytes in 0 Free Blocks.
552 bytes in 9 Normal Blocks.
1144 bytes in 1 CRT Blocks.
0 bytes in 0 Ignore Blocks.
0 bytes in 0 Client Blocks.
Largest number used: 0 bytes.
Total allocations: 179414097 bytes.
Dumping objects ->
{16455} normal block at 0x000001D92CFBFBE0, 48 bytes long.
Data: <PSI_SCRATCH=C:\P> 50 53 49 5F 53 43 52 41 54 43 48 3D 43 3A 5C 50
{16414} normal block at 0x000001D92CFC08F0, 48 bytes long.
Data: <HOMEPATH=C:\Prog> 48 4F 4D 45 50 41 54 48 3D 43 3A 5C 50 72 6F 67
{16403} normal block at 0x000001D92CFBFF50, 48 bytes long.
Data: <HOME=C:\ProgramD> 48 4F 4D 45 3D 43 3A 5C 50 72 6F 67 72 61 6D 44
{16392} normal block at 0x000001D92CFC0790, 48 bytes long.
Data: <TMP=C:\ProgramDa> 54 4D 50 3D 43 3A 5C 50 72 6F 67 72 61 6D 44 61
{16381} normal block at 0x000001D92CFC0630, 48 bytes long.
Data: <TEMP=C:\ProgramD> 54 45 4D 50 3D 43 3A 5C 50 72 6F 67 72 61 6D 44
{16370} normal block at 0x000001D92CFC0160, 48 bytes long.
Data: <TMPDIR=C:\Progra> 54 4D 50 44 49 52 3D 43 3A 5C 50 72 6F 67 72 61
{16289} normal block at 0x000001D92CF9C280, 140 bytes long.
Data: <<project_prefere> 3C 70 72 6F 6A 65 63 74 5F 70 72 65 66 65 72 65
..\api\boinc_api.cpp(309) : {16286} normal block at 0x000001D92CFB20C0, 8 bytes long.
Data: < 8- > 00 00 38 2D D9 01 00 00
{15645} normal block at 0x000001D92CFAE470, 140 bytes long.
Data: <<project_prefere> 3C 70 72 6F 6A 65 63 74 5F 70 72 65 66 65 72 65
{15033} normal block at 0x000001D92CFB2840, 8 bytes long.
Data: <@ 7- > 40 18 37 2D D9 01 00 00
..\zip\boinc_zip.cpp(122) : {550} normal block at 0x000001D92CF9B820, 260 bytes long.
Data: < > 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
{537} normal block at 0x000001D92CFAA2D0, 32 bytes long.
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{503} normal block at 0x000001D92CFBCAA0, 16 bytes long.
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{69} normal block at 0x000001D92CFACC20, 16 bytes long.
Data: < ;* > 80 EA 3B 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{68} normal block at 0x000001D92CFACA70, 16 bytes long.
Data: <@ ;* > 40 E9 3B 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{67} normal block at 0x000001D92CFAC0E0, 16 bytes long.
Data: < W8* > F8 57 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{66} normal block at 0x000001D92CFAC050, 16 bytes long.
Data: < W8* > D8 57 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{65} normal block at 0x000001D92CFAC9E0, 16 bytes long.
Data: <P 8* > 50 04 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{64} normal block at 0x000001D92CFAC680, 16 bytes long.
Data: <0 8* > 30 04 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{63} normal block at 0x000001D92CFACB00, 16 bytes long.
Data: < 8* > E0 02 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{62} normal block at 0x000001D92CFAC950, 16 bytes long.
Data: < 8* > 10 04 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{61} normal block at 0x000001D92CFAC8C0, 16 bytes long.
Data: <p 8* > 70 04 38 2A F6 7F 00 00 00 00 00 00 00 00 00 00
{60} normal block at 0x000001D92CFAC710, 16 bytes long.
Data: < 6* > 18 C0 36 2A F6 7F 00 00 00 00 00 00 00 00 00 00
Object dump complete.

</stderr_txt>
]]>

it's right in your message:
"RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\c10\core\impl\alloc_cpu.cpp:81] data. DefaultCPUAllocator: not enough memory: you tried to allocate 3612672 bytes."

that's why.

this is a known problem with the windows app. you need to increase your virtual memory (page file) to like 50GB.

also it looks like your host only has 16GB system RAM. if you're running other things that use lots of memory (like rosetta or einstein GW CPU tasks) then you might be running out of system memory too. these python tasks need about 10GB of system memory for each one.

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I am experiencing a strange problem on my PC with two RTX3070 inside, CPU Intel i9-10900KF (10 cores/20 threads), 128 GB RAM:
until about 2 weeks ago, I crunched 4 Python tasks concurrently (2 ea. GPU).
Then I processed ACEMD_3 and ATM tasks, the queues of which ran dry now.
So I changed back to Python - and surprise: after downloading 4 tasks, only 3 started, the fourth one stays in status "ready to start".

I had made no changes, neither in the hardware, nore in the software, nor in the settings.
Anyone any idea what I can do in order to get the fourth task to run?

Consequence of running the acemd3 and ATM tasks is that it dropped your APR rate on the host and now the client thinks that you will not be able to finish the second Python task before deadline.

You probably have the single Python task in EDF mode now.

Try adding <fraction_done_exact/> into every app section in your app_config.xml

That helps produce more realistic progress percentages and could/may persuade the client to let you run that second task on that gpu.

But you may just have to let the APR mechanism balance out again. One of the many flaws in BOINC.

thank you, Keith, for the explanation :-)

<fraction_done_exact/> has been in the app_config to begin with.

So I am afraid I just need to wait ...

Absolutely no usage of GPU only CPU.
task 27464783

for the first 5 minutes or so, there will only be CPU use and no GPU use because the task is extracting the python environment to the designated slot. after this, the task will run and start using both GPU and CPU. GPU use will be low.

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No, it was not at 5% but 29% and stuck. I exited BOINC and restarted. The WU is now normal at 34%.

i said 5 minutes not 5%.

but sounds like an issue with your system, not the tasks. my tasks have never gotten stuck like that.

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It is 20 minutes on my hdd.