Task 33245750
| Name | e00007a07208-ABOU_rnd_ppod_expand_demos30_2_test2-0-1-RND9876_0 |
| Workunit | 27386453 |
| Created | 4 Jan 2023, 6:26:31 UTC |
| Sent | 22 Jan 2023, 15:26:34 UTC |
| Report deadline | 27 Jan 2023, 15:26:34 UTC |
| Received | 22 Jan 2023, 15:41:34 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Compute error |
| Exit status | 195 (0x000000C3) EXIT_CHILD_FAILED |
| Computer ID | 598449 |
| Run time | 50 min 31 sec |
| CPU time | 50 min 31 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 2,719.65 GFLOPS |
| Application version | Python apps for GPU hosts v4.04 (cuda102) windows_x86_64 |
| Peak working set size | 0.00 MB |
| Peak swap size | 0.00 MB |
| Peak disk usage | 0.00 MB |
Stderr output
<core_client_version>7.20.2</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code 195 (0xc3)</message>
<stderr_txt>
12:27:13 (11212): wrapper (7.9.26016): starting
12:27:13 (11212): wrapper: running .\7za.exe (x pythongpu_windows_x86_64__cuda102.txz -y)
7-Zip (a) 22.01 (x86) : Copyright (c) 1999-2022 Igor Pavlov : 2022-07-15
Scanning the drive for archives:
1 file, 1395331172 bytes (1331 MiB)
Extracting archive: pythongpu_windows_x86_64__cuda102.txz
--
Path = pythongpu_windows_x86_64__cuda102.txz
Type = xz
Physical Size = 1395331172
Method = LZMA2:22 CRC64
Streams = 1203
Blocks = 1203
Cluster Size = 4210688
Everything is Ok
Size: 5063219200
Compressed: 1395331172
12:28:23 (11212): .\7za.exe exited; CPU time 60.312500
12:28:23 (11212): wrapper: running C:\Windows\system32\cmd.exe (/C "del pythongpu_windows_x86_64__cuda102.txz")
12:28:24 (11212): C:\Windows\system32\cmd.exe exited; CPU time 0.000000
12:28:24 (11212): wrapper: running .\7za.exe (x pythongpu_windows_x86_64__cuda102.tar -y)
7-Zip (a) 22.01 (x86) : Copyright (c) 1999-2022 Igor Pavlov : 2022-07-15
Scanning the drive for archives:
1 file, 5063219200 bytes (4829 MiB)
Extracting archive: pythongpu_windows_x86_64__cuda102.tar
--
Path = pythongpu_windows_x86_64__cuda102.tar
Type = tar
Physical Size = 5063219200
Headers Size = 9415168
Code Page = UTF-8
Characteristics = GNU LongName ASCII
Everything is Ok
Files: 18039
Size: 5049287251
Compressed: 5063219200
12:28:48 (11212): .\7za.exe exited; CPU time 9.593750
12:28:48 (11212): wrapper: running C:\Windows\system32\cmd.exe (/C "del pythongpu_windows_x86_64__cuda102.tar")
12:28:49 (11212): C:\Windows\system32\cmd.exe exited; CPU time 0.000000
12:28:49 (11212): wrapper: running python.exe (run.py)
Starting!!
Windows fix!!
Define rollouts storage
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\0\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 489, in <module>
main()
File "run.py", line 139, in main
learner.step()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\learner.py", line 46, in step
info = self.update_worker.step()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\scheme\updates\u_worker.py", line 118, in step
self.updater.step()
File "C:\ProgramData\BOINC\slots\0\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\0\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 178, in step
self.get_data()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 226, in get_data
self.storage.before_gradients()
File "C:\ProgramData\BOINC\slots\0\python_dependencies\buffer.py", line 197, in before_gradients
super(PPOD2RebelBuffer, self).before_gradients()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\agent\storages\on_policy\ppod2_buffer.py", line 254, in before_gradients
self.save_demos()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\agent\storages\on_policy\ppod2_buffer.py", line 807, in save_demos
prl.OBS: np.array(self.intrinsic_demos[demo_pos][prl.OBS]).astype(self.demo_dtypes[prl.OBS]),
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 19.9 MiB for an array with shape (2964, 1, 84, 84) and data type uint8
Traceback (most recent call last):
File "C:\ProgramData\BOINC\slots\0\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 489, in <module>
main()
File "run.py", line 139, in main
learner.step()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\learner.py", line 46, in step
info = self.update_worker.step()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\scheme\updates\u_worker.py", line 118, in step
self.updater.step()
File "C:\ProgramData\BOINC\slots\0\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\0\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 178, in step
self.get_data()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\scheme\gradients\g_worker.py", line 226, in get_data
self.storage.before_gradients()
File "C:\ProgramData\BOINC\slots\0\python_dependencies\buffer.py", line 197, in before_gradients
super(PPOD2RebelBuffer, self).before_gradients()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\agent\storages\on_policy\ppod2_buffer.py", line 254, in before_gradients
self.save_demos()
File "C:\ProgramData\BOINC\slots\0\lib\site-packages\pytorchrl\agent\storages\on_policy\ppod2_buffer.py", line 807, in save_demos
prl.OBS: np.array(self.intrinsic_demos[demo_pos][prl.OBS]).astype(self.demo_dtypes[prl.OBS]),
numpy.core._exceptions.MemoryError: Unable to allocate 19.9 MiB for an array with shape (2964, 1, 84, 84) and data type uint8
12:40:21 (11212): python.exe exited; CPU time 2961.406250
12:40:21 (11212): app exit status: 0x1
12:40:21 (11212): called boinc_finish(195)
0 bytes in 0 Free Blocks.
272 bytes in 7 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: 11159169 bytes.
Dumping objects ->
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Object dump complete.
</stderr_txt>
]]>
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