The following values were not passed to `accelerate launch` and had defaults used instead: `--mixed_precision` was set to a value of `'no'` `--dynamo_backend` was set to a value of `'no'` To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`. Trainer._get_train_sampler replaced with custom implementation. [2025-09-01 14:38:02,904] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) [2025-09-01 14:38:04,355] [INFO] [comm.py:658:init_distributed] cdb=None You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. Loading checkpoint shards: 0%| | 0/5 [00:00 xdl-5de9c63d2f8a-worker-2:1280:1280 [0] NCCL INFO ACCL_TUNING_LEVEL=2 xdl-5de9c63d2f8a-worker-2:1280:1280 [0] NCCL INFO NCCL version 2.23.4.11-accl-n+cuda12.4, COMMIT_ID fd29a6ee5e1e9a7f98e915ec1b08fdd7cc189bd6, BUILD_TIME 2025-01-25 14:42:49 xdl-5de9c63d2f8a-worker-2:1280:1811 [0] NCCL INFO NET/Plugin: Could not find: libnccl-net.so. Using internal network plugin. xdl-5de9c63d2f8a-worker-2:1280:1811 [0] NCCL INFO NCCL_xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO cudaDriverVersion 12040 xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO NCCL_SOCKET_FAMILY set by environment to AF_INET xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eth0 xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO Bootstrap : Using eth0:33.126.51.5<0> xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO ACCL_TUNING_LEVEL=2 xdl-5de9c63d2f8a-worker-2:1278:1278 [0] NCCL INFO NCCL version 2.23.4.11-accl-n+cuda12.4, COMMIT_ID fd29a6ee5e1e9a7f98e915ec1b08fdd7cc189bd6, BUILD_TIME 2025-01-25 14:42:49 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NET/Plugin: Could not find: libnccl-net.so. Using internal network plugin. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NCCL_SOCKET_FAMILY set by environment to AF_INET xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eth0 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NCCL_IB_HCA set to mlx5 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NET/IB : Using [0]mlx5_4:1/RoCE [1]mlx5_10:1/RoCE [2]mlx5_18:1/RoCE [3]mlx5_31:1/RoCE [RO]; OOB eth0:33.126.51.5<0> xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO PROFILER/Plugin: Could not find: libnccl-profiler.so. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Using network IB xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO ncclCommInitRankConfig comm 0x1bebbdc0 rank 19 nranks 64 cudaDev 0 nvmlDev 3 busId be000 commId 0x971a1bdf00133780 - Init START xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Start to Initialize C4A xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO [C4A] initialize: mode=1, path-opt=0, upload-stats=1, upload-period=2, disable_path=0, modify_path=0, path_status=0, upload-log=0, conn-retry-times=10, allocate_path_timeout=3, get_path_stats_period=60 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO [C4A] agent register successfully xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO C4 stats mode CONN, reduce 1, send/recv 0. xdl-5de9c63d2f8a-worker-2:1278:1867 [0] NCCL INFO nccl stats service thread running, pid=139680085849664 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Bootstrap timings total 34.784161 (create 0.000030, send 0.000154, recv 1.996999, ring 32.786784, delay 0.000001) xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO gTaskid = 46337e21000065be. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO hpn_license_register error: Error occurred during zmq_msg_recv(): Resource temporarily unavailable. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO MNNVL busId 0xbe000 fabric UUID 0.0 cliqueId 0x0 state 3 healthMask 0x0 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NCCL_TOPO_4NIC_FIX set by environment to 1. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Setting affinity for GPU 3 to ff,ffffffff,ffff0000,00000000,00ffffff,ffffffff xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO NVLS multicast support is available on dev 0 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO comm 0x1bebbdc0 rank 19 nRanks 64 nNodes 8 localRanks 8 localRank 3 MNNVL 0 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Trees [0] 20/-1/-1->19->18 [1] 20/-1/-1->19->18 [2] -1/-1/-1->19->18 [3] 20/-1/-1->19->18 [4] 20/-1/-1->19->18 [5] 20/-1/-1->19->18 [6] -1/-1/-1->19->18 [7] 20/-1/-1->19->18 [8] 20/-1/-1->19->18 [9] 20/-1/-1->19->18 [10] -1/-1/-1->19->18 [11] 20/-1/-1->19->18 [12] 20/-1/-1->19->18 [13] 20/-1/-1->19->18 [14] -1/-1/-1->19->18 [15] 20/-1/-1->19->18 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO P2P Chunksize set to 131072 xdl-5de9c63d2f8a-worker-2:1278:1911 [0] NCCL INFO [Proxy Service] Device 0 CPU core 10 xdl-5de9c63d2f8a-worker-2:1278:1912 [0] NCCL INFO [Proxy Service UDS] Device 0 CPU core 11 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO threadThresholds 8/8/64 | 512/8/64 | 512 | 512 xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 1 p2p channels per peer xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO TUNER/Plugin: Could not find: libnccl-tuner.so libnccl-net.so. Using internal tuner plugin. xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO ncclCommInitRankConfig comm 0x1bebbdc0 rank 19 nranks 64 cudaDev 0 nvmlDev 3 busId be000 commId 0x971a1bdf00133780 - Init COMPLETE xdl-5de9c63d2f8a-worker-2:1278:1821 [0] NCCL INFO Init timings - ncclCommInitRankConfig: rank 19 nranks 64 total 50.56 (kernels 0.88, alloc 0.34, bootstrap 34.78, allgathers 0.82, topo 7.91, graphs 0.74, connections 0.08, rest 5.01) xdl-5de9c63d2f8a-worker-2:1278:1919 [0] NCCL INFO [Proxy Progress] Device 0 CPU core 12 xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 03/0 : 11[3] -> 19[3] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 11/0 : 11[3] -> 19[3] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 02/0 : 19[3] -> 27[3] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 10/0 : 19[3] -> 27[3] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 00/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 01/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 03/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 04/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 05/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 06/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 07/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 08/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 09/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 11/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 12/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 13/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 14/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Channel 15/0 : 19[3] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1278:1911 [0] NCCL INFO NCCL_IB_QPS_PER_CONNECTION set by environment to 2. xdl-5de9c63d2f8a-worker-2:1278:1911 [0] NCCL INFO ACCL_IB_GID_INDEX_FIX set by environment to 1. xdl-5de9c63d2f8a-worker-2:1278:1911 [0] NCCL INFO NCCL_IB_TIMEOUT set by environment to 22. xdl-5de9c63d2f8a-worker-2:1278:1917 [0] NCCL INFO Connected all rings xdl-5de9c63d2f8a-worker-2:1278:36390 [0] NCCL INFO Using network IB xdl-5de9c63d2f8a-worker-2:1278:36390 [0] NCCL INFO ncclCommInitRankConfig comm 0x5278e380 rank 19 nranks 64 cudaDev 0 nvmlDev 3 busId be000 commId 0x932bdc96e4e7e2c9 - Init START xdl-5de9c63d2f8a-worker-2:1278:36390 [0] NCCL INFO Bootstrap timings total 0.010118 (create 0.000029, send 0.000115, recv 0.004599, ring 0.005225, delay 0.000000) xdl-5de9c63d2f8a-worker-2:1278:36390 [0] NCCL INFO MNNVL busId 0xbe000 fabric UUID 0.0 cliqueId 0x0 state 3 healthMask 0x0 xdl-5de9c63d2f8a-worker-2:1278:36390 [0] NCCL INFO Setting affinity for GPU 3 to ff,ffffffff,ffff0000,00000000,00ffffff,ffffffff xdl-5de9c63d2f8a-worke63d2f8a-worker-5:1283:36377 [0] NCCL INFO [Proxy Service UDS] Device 0 CPU core 128 xdl-5de9c63d2f8a-worker-5:1283:36360 [0] NCCL INFO threadThresholds 8/8/64 | 512/8/64 | 512 | 512 xdl-5de9c63d2f8a-worker-5:1283:36360 [0] NCCL INFO 16 coll channels, 16 collnet channels, 0 nvls channels, 16 p2p channels, 1 p2p channels per peer xdl-5de9c63d2f8a-worker-5:1283:36360 [0] NCCL INFO ncclCommInitRankConfig comm 0x105e3de90 rank 41 nranks 64 cudaDev 0 nvmlDev 1 busId 66000 commId 0x932bdc96e4e7e2c9 - Init COMPLETE xdl-5de9c63d2f8a-worker-5:1283:36360 [0] NCCL INFO Init timings - ncclCommInitRankConfig: rank 41 nranks 64 total 8.27 (kernels 0.00, alloc 0.00, bootstrap 0.01, allgathers 1.08, topo 6.41, graphs 0.73, connections 0.04, rest 0.00) xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 00/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 02/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 03/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 04/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 05/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 06/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 07/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 08/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 10/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 11/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 12/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 13/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 14/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 15/0 : 41[1] -> 42[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-5:1283:36395 [0] NCCL INFO [Proxy Progress] Device 0 CPU core 128 xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 00/0 : 33[1] -> 41[1] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 08/0 : 33[1] -> 41[1] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 01/0 : 41[1] -> 49[1] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Channel 09/0 : 41[1] -> 49[1] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-5:1283:36387 [0] NCCL INFO Connected P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 03/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 04/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 05/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 06/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 07/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 09/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 10/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 11/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 12/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 13/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 14/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Channel 15/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36417 [0] NCCL INFO Connected all rings xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 00/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 02/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 03/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 04/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 06/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 07/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 08/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 10/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 11/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 12/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 14/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 15/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 00/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Channel 08/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36910 [0] NCCL INFO Connected all trees xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 00/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 02/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 03/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 04/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 06/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 07/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 08/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 10/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 11/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 12/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 14/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 15/0 : 17[1] -> 18[2] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 00/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Channel 08/0 : 17[1] -> 16[0] via P2P/CUMEM xdl-5de9c63d2f8a-worker-2:1277:36935 [0] NCCL INFO Connected all trees xdl-5de9c63d2f8a-worker-2:1277:1277 [0] NCCL INFO [C4A] agent unregister successfully xdl-5de9c63d2f8a-worker-2:1277:1868 [0] NCCL INFO [C4A] WARN connection status check failed, fd:78, tcp_state:8) xdl-5de9c63d2f8a-worker-2:1277:36402 [0] NCCL INFO [Service thread] Connection closed by localRank 2 xdl-5de9c63d2f8a-worker-2:1277:1915 [0] NCCL INFO [Service thread] Connection closed by localRank 2 2 [0] NCCL INFO [C4A] agent unregister successfully xdl-5de9c63d2f8a-worker-7:1282:1866 [0] NCCL INFO [C4A] WARN connection status chxdl-5de9c63d2f8a-worker-7:1281:1281 [0] NCCL INFO [C4A] agent unregister successfully xdl-5de9c63d2f8a-worker-7:1281:1830 [0] NCCL INFO [C4A] WARN connection status check failed, fd:78, tcp_state:8) xdl-5de9c63d2f8a-worker-7:1281:36378 [0] NCCL INFO [Service thread] Connection closed by localRank 7 xdl-5de9c63d2f8a-worker-7:1281:1901 [0] NCCL INFO [Service thread] Connection closed by localRank 7 CCL INFO [C4A] WARN connection status check failed, fd:78, tcp_state:8) xdl-5de9c63d2f8a-worker-0:1271:36386 [0] NCCL INFO [Service thread] Connection closed by localRank 6 xdl-5de9c63d2f8a-worker-0:1271:1904 [0] NCCL INFO [Service thread] Connection closed by localRank 6 Channel 01/0 : 34[2] -> 2[2] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-0:1275:36915 [0] NCCL INFO Channel 05/0 : 34[2] -> 2[2] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-0:1275:36915 [0] NCCL INFO Channel 01/0 : 2[2] -> 34[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-workeGDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 01/0 : 50[2] -> 34[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 05/0 : 50[2] -> 34[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 01/0 : 58[2] -> 50[2] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 05/0 : 58[2] -> 50[2] [receive] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 01/0 : 50[2] -> 42[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 05/0 : 50[2] -> 42[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63d2f8a-worker-6:1271:36909 [0] NCCL INFO Channel 09/0 : 50[2] -> 42[2] [send] via NET/IB/1/GDRDMA xdl-5de9c63a NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 04/0 : 16[0] -> 32[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 00/0 : 32[0] -> 16[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 04/0 : 32[0] -> 16[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 00/0 : 24[0] -> 16[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 04/0 : 24[0] -> 16[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 00/0 : 16[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 04/0 : 16[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 08/0 : 16[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Channel 12/0 : 16[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-2:1279:36938 [0] NCCL INFO Connected all trees xdl-5de9c63d2f8a-worker-2:1279:36404 [0] NCCL INFO [Service thread] Connection closed by localRank 7 xdl-5de9c63d2f8a-worker-2:1279:1909 [0] NCCL INFO [Service thread] Connection closed by localRank 7 xdl-5de9c63d2f8a-worker-2:1279:36404 [0] NCCL INFO [Service thread] Connection closed by localRank 1 xdl-5de9c63d2f8a-worker-2:1279:1909 [0] NCCL INFO [Service thread] Connection closed by localRank 1 xdl-5de9c63d2f8a-worker-2:1279:1279 [0] NCCL INFO [C4A] agent unregister successfully xdl-5de9c63d2f8a-worker-2:1279:1878 [0] NCCL INFO [C4A] WARN connection status check failed, fd:78, tcp_state:8) CL INFO [C4A] WARN connection status check failed, fd:78, tcp_state:8) xdl-5de9c63d2f8a-worker-6:1275:36381 [0] NCCL INFO [Service thread] Connection closed by localRank 1 xdl-5de9c63d2f8a-worker-6:1275:1911 [0] NCCL INFO [Service thread] Connection closed by localRank 1 [16:13<34:43:48, 26.54s/it] 1%| | 35/4745 [16:40<34:43:52, 26.55s/it] 1%| | 36/4745 [17:06<34:43:24, 26.55s/it] 1%| | 37/4745 [17:33<34:42:14, 26.54s/it] 1%| | 38/4745 [17:59<34:41:36, 26.53s/it] 1%| | 39/4745 [18:26<34:37:28, 26.49s/it] 1%| | 40/4745 [18:52<34:39:38, 26.52s/it] 1%| | 40/4745 [18:52<34:39:38, 26.52s/it] 1%| | 41/4745 [19:19<34:39:04, 26.52s/it] 1%| | 42/4745 [19:46<34:38:51, 26.52s/it] 1%| | 43/4745 [20:12<34:39:29, 26.54s/it] 1%| | 44/4745 [20:39<34:38:37, 26.53s/it] 1%| | 45/4745 [21:05<34:39:43, 26.55s/it] 1%| | 46/4745 [21:32<34:38:31, 26.54s/it] 1%| | 47/4745 [21:58<34:37:57, 26.54s/it] 1%| | 48/4745 [22:25<34:39:52, 26.57s/it] 1%| | 49/4745 [22:51<34:37:57, 26.55s/it] 1%| | 50/4745 [23:18<34:32:53, 26.49s/it] 1%| | 50/4745 [23:18<34:32:53, 26.49s/it] 1%| | 51/4745 [23:44<34:30:25, 26.46s/it] 1%| | 52/4745 [24:11<34:32:02, 26.49s/it] 1%| | 53/4745 [24:37<34:28:59, 26.46s/it] 1%| | 54/4745 [25:04<34:27:43, 26.45s/it] 1%| | 55/4745 [25:30<34:29:33, 26.48s/it] 1%| | 56/4745 [25:56<34:26:48, 26.45s/it] 1%| | 57/4745 [26:23<34:28:26, 26.47s/it] 1%| | 58/4745 [26:50<34:29:39, 26.49s/it] 1%| | 59/4745 [27:16<34:28:50, 26.49s/it] 1%|▏ | 60/4745 [27:43<34:29:01, 26.50s/it] 1%|▏ | 60/4745 [27:43<34:29:01, 26.50s/it] 1%|▏ | 61/4745 [28:09<34:28:10, 26.49s/it] 1%|▏ | 62/4745 [28:35<34:16:16, 26.35s/it] 1%|▏ | 63/4745 [29:02<34:20:04, 26.40s/it] 1%|▏ | 64/4745 [29:28<34:22:38, 26.44s/it] 1%|▏ | 65/4745 [29:55<34:24:02, 26.46s/it] 1%|▏ | 66/4745 [30:21<34:21:54, 26.44s/it] 1%|▏ | 67/4745 [30:47<34:23:47, 26.47s/it] 1%|▏ | 68/4745 [31:14<34:24:16, 26.48s/it] 1%|▏ | 69/4745 [31:41<34:24:58, 26.50s/it] 1%|▏ | 70/4745 [32:07<34:25:24, 26.51s/it] 1%|▏ | 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 2%|▏ | 101/4745 [49:19<115:36:38, 89.62s/it] 2%|▏ | 102/4745 [49:46<91:11:15, 70.70s/it] 2%|▏ | 103/4745 [50:13<74:04:31, 57.45s/it] 2%|▏ | 104/4745 [50:39<62:08:38, 48.20s/it] 2%|▏ | 105/4745 [51:06<53:44:55, 41.70s/it] 2%|▏ | 106/4745 [51:32<47:51:56, 37.15s/it] 2%|▏ | 107/4745 [51:59<43:44:35, 33.95s/it] 2%|▏ | 108/4745 [52:25<40:52:19, 31.73s/it] 2%|▏ | 109/4745 [52:52<38:51:30, 30.17s/it] 2%|▏ | 110/4745 [53:18<37:26:24, 29.08s/it] 2%|▏ | 110/4745 [53:18<37:26:24, 29.08s/it] 2%|▏ | 111/4745 [53:45<36:28:19, 28.33s/it] 2%|▏ | 112/4745 [54:11<35:43:10, 27.76s/it] 2%|▏ | 113/4745 [54:38<35:09:28, 27.32s/it] 2%|▏ | 114/4745 [55:04<34:39:17, 26.94s/it] 2%|▏ | 115/4745 [55:30<34:29:00, 26.81s/it] 2%|▏ | 116/4745 [55:57<34:18:27, 26.68s/it] 2%|▏ | 117/4745 [56:23<34:15:35, 26.65s/it] 2%|▏ | 118/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 4%|▍ | 201/4745 [1:37:21<121:42:06, 96.42s/it] 4%|▍ | 202/4745 [1:37:48<95:13:38, 75.46s/it] 4%|▍ | 203/4745 [1:38:15<76:43:25, 60.81s/it] 4%|▍ | 204/4745 [1:38:41<63:44:13, 50.53s/it] 4%|▍ | 205/4745 [1:39:08<54:38:35, 43.33s/it] 4%|▍ | 206/4745 [1:39:34<48:16:44, 38.29s/it] 4%|▍ | 207/4745 [1:40:01<43:48:46, 34.76s/it] 4%|▍ | 208/4745 [1:40:27<40:40:23, 32.27s/it] 4%|▍ | 209/4745 [1:40:54<38:29:56, 30.55s/it] 4%|▍ | 210/4745 [1:41:20<36:58:28, 29.35s/it] 4%|▍ | 210/4745 [1:41:20<36:58:28, 29.35s/it] 4%|▍ | 211/4745 [1:41:47<35:53:50, 28.50s/it] 4%|▍ | 212/4745 [1:42:13<35:08:12, 27.90s/it] 4%|▍ | 213/4745 [1:42:40<34:34:05, 27.46s/it] 5%|▍ | 214/4745 [1:43:06<34:11:29, 27.17s/it] 5%|▍ | 215/4745 [1:43:33<33:55:45, 26.96s/it] 5%|▍ | 216/4745 [1:43:59<33:44:53, 26.83s/it] 5%|▍ | 217/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 6%|▋ | 301/4745 [2:25:15<115:33:08, 93.61s/it] 6%|▋ | 302/4745 [2:25:42<90:41:33, 73.48s/it] 6%|▋ | 303/4745 [2:26:08<73:17:17, 59.40s/it] 6%|▋ | 304/4745 [2:26:35<61:06:10, 49.53s/it] 6%|▋ | 305/4745 [2:27:01<52:36:02, 42.65s/it] 6%|▋ | 306/4745 [2:27:28<46:38:21, 37.82s/it] 6%|▋ | 307/4745 [2:27:54<42:24:41, 34.40s/it] 6%|▋ | 308/4745 [2:28:21<39:26:56, 32.01s/it] 7%|▋ | 309/4745 [2:28:47<37:24:06, 30.35s/it] 7%|▋ | 310/4745 [2:29:14<36:00:13, 29.23s/it] 7%|▋ | 310/4745 [2:29:14<36:00:13, 29.23s/it] 7%|▋ | 311/4745 [2:29:40<35:01:16, 28.43s/it] 7%|▋ | 312/4745 [2:30:07<34:15:54, 27.83s/it] 7%|▋ | 313/4745 [2:30:33<33:46:53, 27.44s/it] 7%|▋ | 314/4745 [2:31:00<33:25:59, 27.16s/it] 7%|▋ | 315/4745 [2:31:26<33:13:18, 27.00s/it] 7%|▋ | 316/4745 [2:31:53<33:01:29, 26.84s/it] 7%|▋ | 317/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 8%|▊ | 401/4745 [3:14:20<139:32:27, 115.64s/it] 8%|▊ | 402/4745 [3:14:46<107:14:07, 88.89s/it] 8%|▊ | 403/4745 [3:15:13<84:39:11, 70.19s/it] 9%|▊ | 404/4745 [3:15:39<68:50:21, 57.09s/it] 9%|▊ | 405/4745 [3:16:06<57:46:11, 47.92s/it] 9%|▊ | 406/4745 [3:16:32<50:02:41, 41.52s/it] 9%|▊ | 407/4745 [3:16:59<44:36:46, 37.02s/it] 9%|▊ | 408/4745 [3:17:25<40:47:54, 33.87s/it] 9%|▊ | 409/4745 [3:17:52<38:08:03, 31.66s/it] 9%|▊ | 410/4745 [3:18:18<36:14:42, 30.10s/it] 9%|▊ | 410/4745 [3:18:18<36:14:42, 30.10s/it] 9%|▊ | 411/4745 [3:18:45<34:57:00, 29.03s/it] 9%|▊ | 412/4745 [3:19:11<34:01:46, 28.27s/it] 9%|▊ | 413/4745 [3:19:38<33:21:44, 27.72s/it] 9%|▊ | 414/4745 [3:20:04<32:53:57, 27.35s/it] 9%|▊ | 415/4745 [3:20:31<32:33:50, 27.07s/it] 9%|▉ | 416/4745 [3:20:57<32:20:36, 26.90s/it] 9%|▉ | 417/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 13%|█▎ | 601/4745 [4:49:09<106:08:47, 92.21s/it] 13%|█▎ | 602/4745 [4:49:36<83:26:39, 72.51s/it] 13%|█▎ | 603/4745 [4:50:02<67:33:11, 58.71s/it] 13%|█▎ | 604/4745 [4:50:29<56:27:21, 49.08s/it] 13%|█▎ | 605/4745 [4:50:56<48:40:33, 42.33s/it] 13%|█▎ | 606/4745 [4:51:22<43:13:46, 37.60s/it] 13%|█▎ | 607/4745 [4:51:49<39:24:34, 34.29s/it] 13%|█▎ | 608/4745 [4:52:15<36:41:39, 31.93s/it] 13%|█▎ | 609/4745 [4:52:42<34:48:58, 30.30s/it] 13%|█▎ | 610/4745 [4:53:08<33:28:26, 29.14s/it] 13%|█▎ | 610/4745 [4:53:08<33:28:26, 29.14s/it] 13%|█▎ | 611/4745 [4:53:34<32:29:58, 28.30s/it] 13%|█▎ | 612/4745 [4:54:01<31:52:41, 27.77s/it] 13%|█▎ | 613/4745 [4:54:27<31:25:05, 27.37s/it] 13%|█▎ | 614/4745 [4:54:54<31:06:03, 27.10s/it] 13%|█▎ | 615/4745 [4:55:20<30:52:51, 26.92s/it] 13%|█▎ | 616/4745 [4:55:47<30:44:22, 26.80s/it] 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 15%|█▍ | 701/4745 [5:37:29<114:44:41, 102.15s/it] 15%|█▍ | 702/4745 [5:37:56<89:16:10, 79.49s/it] 15%|█▍ | 703/4745 [5:38:23<71:27:17, 63.64s/it] 15%|█▍ | 704/4745 [5:38:49<58:58:56, 52.55s/it] 15%|█▍ | 705/4745 [5:39:16<50:13:42, 44.76s/it] 15%|█▍ | 706/4745 [5:39:43<44:05:26, 39.30s/it] 15%|█▍ | 707/4745 [5:40:09<39:47:07, 35.47s/it] 15%|█▍ | 708/4745 [5:40:36<36:49:11, 32.83s/it] 15%|█▍ | 709/4745 [5:41:02<34:43:40, 30.98s/it] 15%|█▍ | 710/4745 [5:41:29<33:15:01, 29.67s/it] 15%|█▍ | 710/4745 [5:41:29<33:15:01, 29.67s/it] 15%|█▍ | 711/4745 [5:41:56<32:11:52, 28.73s/it] 15%|█▌ | 712/4745 [5:42:22<31:25:43, 28.05s/it] 15%|█▌ | 713/4745 [5:42:49<30:54:05, 27.59s/it] 15%|█▌ | 714/4745 [5:43:15<30:32:37, 27.28s/it] 15%|█▌ | 715/4745 [5:43:42<30:18:47, 27.08s/it] 15%|█▌ | 716/4745 [5:44:08<30:06:14, 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 17%|█▋ | 801/4745 [6:24:46<90:49:31, 82.90s/it] 17%|█▋ | 802/4745 [6:25:12<72:17:54, 66.01s/it] 17%|█▋ | 803/4745 [6:25:39<59:20:43, 54.20s/it] 17%|█▋ | 804/4745 [6:26:05<50:16:55, 45.93s/it] 17%|█▋ | 805/4745 [6:26:32<43:47:16, 40.01s/it] 17%|█▋ | 806/4745 [6:26:58<39:23:48, 36.01s/it] 17%|█▋ | 807/4745 [6:27:25<36:17:08, 33.17s/it] 17%|█▋ | 808/4745 [6:27:51<34:05:50, 31.18s/it] 17%|█▋ | 809/4745 [6:28:18<32:33:51, 29.78s/it] 17%|█▋ | 810/4745 [6:28:44<31:20:49, 28.68s/it] 17%|█▋ | 810/4745 [6:28:44<31:20:49, 28.68s/it] 17%|█▋ | 811/4745 [6:29:10<30:36:46, 28.01s/it] 17%|█▋ | 812/4745 [6:29:37<30:07:04, 27.57s/it] 17%|█▋ | 813/4745 [6:30:03<29:39:20, 27.15s/it] 17%|█▋ | 814/4745 [6:30:30<29:26:01, 26.96s/it] 17%|█▋ | 815/4745 [6:30:56<29:16:01, 26.81s/it] 17%|█▋ | 816/4745 [6:31:23<29:09:38, 26.72s/it] 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 19%|█▉ | 901/4745 [7:12:30<97:56:49, 91.73s/it] 19%|█▉ | 902/4745 [7:12:57<77:01:44, 72.16s/it] 19%|█▉ | 903/4745 [7:13:23<62:25:54, 58.50s/it] 19%|█▉ | 904/4745 [7:13:50<52:10:51, 48.91s/it] 19%|█▉ | 905/4745 [7:14:17<44:59:52, 42.19s/it] 19%|█▉ | 906/4745 [7:14:43<40:00:30, 37.52s/it] 19%|█▉ | 907/4745 [7:15:10<36:28:23, 34.21s/it] 19%|█▉ | 908/4745 [7:15:36<34:00:13, 31.90s/it] 19%|█▉ | 909/4745 [7:16:03<32:16:27, 30.29s/it] 19%|█▉ | 910/4745 [7:16:29<31:01:37, 29.13s/it] 19%|█▉ | 910/4745 [7:16:29<31:01:37, 29.13s/it] 19%|█▉ | 911/4745 [7:16:56<30:09:47, 28.32s/it] 19%|█▉ | 912/4745 [7:17:22<29:35:51, 27.80s/it] 19%|█▉ | 913/4745 [7:17:49<29:10:56, 27.42s/it] 19%|█▉ | 914/4745 [7:18:15<28:53:42, 27.15s/it] 19%|█▉ | 915/4745 [7:18:42<28:41:20, 26.97s/it] 19%|█▉ | 916/4745 [7:19:08<28:32:40, 26.84s/it] 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 21%|██ | 1001/4745 [8:06:33<212:40:50, 204.50s/it] 21%|██ | 1002/4745 [8:06:59<157:06:33, 151.11s/it] 21%|██ | 1003/4745 [8:07:26<118:13:06, 113.73s/it] 21%|██ | 1004/4745 [8:07:53<91:00:53, 87.58s/it] 21%|██ | 1005/4745 [8:08:19<71:57:32, 69.27s/it] 21%|██ | 1006/4745 [8:08:46<58:36:50, 56.44s/it] 21%|██ | 1007/4745 [8:09:12<49:10:31, 47.36s/it] 21%|██ | 1008/4745 [8:09:38<42:40:33, 41.11s/it] 21%|██▏ | 1009/4745 [8:10:05<38:07:52, 36.74s/it] 21%|██▏ | 1010/4745 [8:10:31<34:57:02, 33.69s/it] 21%|██▏ | 1010/4745 [8:10:31<34:57:02, 33.69s/it] 21%|██▏ | 1011/4745 [8:10:58<32:42:58, 31.54s/it] 21%|██▏ | 1012/4745 [8:11:25<31:09:21, 30.05s/it] 21%|██▏ | 1013/4745 [8:11:51<30:03:22, 28.99s/it] 21%|██▏ | 1014/4745 [8:12:18<29:15:32, 28.23s/it] 21%|██▏ | 1015/4745 [8:12:44<28:43:54, 27.73s/it] 21%|██▏ | 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 23%|██▎ | 1101/4745 [8:53:56<85:58:44, 84.94s/it] 23%|██▎ | 1102/4745 [8:54:23<68:13:11, 67.41s/it] 23%|██▎ | 1103/4745 [8:54:49<55:45:35, 55.12s/it] 23%|██▎ | 1104/4745 [8:55:16<47:02:56, 46.52s/it] 23%|██▎ | 1105/4745 [8:55:42<40:58:51, 40.53s/it] 23%|██▎ | 1106/4745 [8:56:09<36:45:31, 36.36s/it] 23%|██▎ | 1107/4745 [8:56:35<33:46:27, 33.42s/it] 23%|██▎ | 1108/4745 [8:57:02<31:41:05, 31.36s/it] 23%|██▎ | 1109/4745 [8:57:29<30:14:14, 29.94s/it] 23%|██▎ | 1110/4745 [8:57:55<29:11:58, 28.92s/it] 23%|██▎ | 1110/4745 [8:57:55<29:11:58, 28.92s/it] 23%|██▎ | 1111/4745 [8:58:22<28:29:19, 28.22s/it] 23%|██▎ | 1112/4745 [8:58:48<27:51:55, 27.61s/it] 23%|██▎ | 1113/4745 [8:59:14<27:30:41, 27.27s/it] 23%|██▎ | 1114/4745 [8:59:41<27:17:36, 27.06s/it] 23%|██▎ | 1115/4745 [9:00:07<27:05:46, 26.87s/it] 24%|██▎ | 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 25%|██▌ | 1201/4745 [9:41:29<86:51:21, 88.23s/it] 25%|██▌ | 1202/4745 [9:41:55<68:38:00, 69.74s/it] 25%|██▌ | 1203/4745 [9:42:22<55:52:43, 56.79s/it] 25%|██▌ | 1204/4745 [9:42:48<46:56:17, 47.72s/it] 25%|██▌ | 1205/4745 [9:43:15<40:40:21, 41.36s/it] 25%|██▌ | 1206/4745 [9:43:42<36:21:09, 36.98s/it] 25%|██▌ | 1207/4745 [9:44:08<33:16:40, 33.86s/it] 25%|██▌ | 1208/4745 [9:44:35<31:06:41, 31.67s/it] 25%|██▌ | 1209/4745 [9:45:01<29:35:35, 30.13s/it] 26%|██▌ | 1210/4745 [9:45:28<28:30:30, 29.03s/it] 26%|██▌ | 1210/4745 [9:45:28<28:30:30, 29.03s/it] 26%|██▌ | 1211/4745 [9:45:54<27:45:36, 28.28s/it] 26%|██▌ | 1212/4745 [9:46:21<27:12:54, 27.73s/it] 26%|██▌ | 1213/4745 [9:46:47<26:50:28, 27.36s/it] 26%|██▌ | 1214/4745 [9:47:14<26:35:59, 27.12s/it] 26%|██▌ | 1215/4745 [9:47:40<26:24:26, 26.93s/it] 26%|██▌ | 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 27%|██▋ | 1301/4745 [10:35:13<190:57:48, 199.61s/it] 27%|██▋ | 1302/4745 [10:35:40<141:14:53, 147.69s/it] 27%|██▋ | 1303/4745 [10:36:06<106:25:54, 111.32s/it] 27%|██▋ | 1304/4745 [10:36:33<82:04:58, 85.88s/it] 28%|██▊ | 1305/4745 [10:36:59<65:03:30, 68.08s/it] 28%|██▊ | 1306/4745 [10:37:26<53:09:19, 55.64s/it] 28%|██▊ | 1307/4745 [10:37:53<44:49:50, 46.94s/it] 28%|██▊ | 1308/4745 [10:38:19<38:58:17, 40.82s/it] 28%|██▊ | 1309/4745 [10:38:46<34:53:18, 36.55s/it] 28%|██▊ | 1310/4745 [10:39:12<32:00:43, 33.55s/it] 28%|██▊ | 1310/4745 [10:39:12<32:00:43, 33.55s/it] 28%|██▊ | 1311/4745 [10:39:39<29:59:55, 31.45s/it] 28%|██▊ | 1312/4745 [10:40:05<28:34:56, 29.97s/it] 28%|██▊ | 1313/4745 [10:40:32<27:35:37, 28.94s/it] 28%|██▊ | 1314/4745 [10:40:58<26:54:26, 28.23s/it] 28%|██▊ | 1315/4745 [10:41:25<26:25:51, 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 32%|███▏ | 1501/4745 [12:10:46<84:10:17, 93.41s/it] 32%|███▏ | 1502/4745 [12:11:13<66:03:40, 73.33s/it] 32%|███▏ | 1503/4745 [12:11:39<53:23:01, 59.28s/it] 32%|███▏ | 1504/4745 [12:12:06<44:30:52, 49.45s/it] 32%|███▏ | 1505/4745 [12:12:32<38:19:08, 42.58s/it] 32%|███▏ | 1506/4745 [12:12:59<33:59:16, 37.78s/it] 32%|███▏ | 1507/4745 [12:13:26<30:57:31, 34.42s/it] 32%|███▏ | 1508/4745 [12:13:52<28:50:17, 32.07s/it] 32%|███▏ | 1509/4745 [12:14:19<27:20:21, 30.41s/it] 32%|███▏ | 1510/4745 [12:14:45<26:16:42, 29.24s/it] 32%|███▏ | 1510/4745 [12:14:45<26:16:42, 29.24s/it] 32%|███▏ | 1511/4745 [12:15:12<25:32:50, 28.44s/it] 32%|███▏ | 1512/4745 [12:15:38<25:03:48, 27.91s/it] 32%|███▏ | 1513/4745 [12:16:05<24:41:17, 27.50s/it] 32%|███▏ | 1514/4745 [12:16:32<24:27:09, 27.25s/it] 32%|███▏ | 1515/4745 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26.50s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 34%|███▎ | 1601/4745 [12:58:09<74:05:14, 84.83s/it] 34%|███▍ | 1602/4745 [12:58:36<58:47:19, 67.34s/it] 34%|███▍ | 1603/4745 [12:59:02<48:06:25, 55.12s/it] 34%|███▍ | 1604/4745 [12:59:29<40:37:15, 46.56s/it] 34%|███▍ | 1605/4745 [12:59:56<35:22:05, 40.55s/it] 34%|███▍ | 1606/4745 [13:00:22<31:41:45, 36.35s/it] 34%|███▍ | 1607/4745 [13:00:49<29:08:54, 33.44s/it] 34%|███▍ | 1608/4745 [13:01:15<27:22:19, 31.41s/it] 34%|███▍ | 1609/4745 [13:01:42<26:04:42, 29.94s/it] 34%|███▍ | 1610/4745 [13:02:08<25:12:04, 28.94s/it] 34%|███▍ | 1610/4745 [13:02:09<25:12:04, 28.94s/it] 34%|███▍ | 1611/4745 [13:02:35<24:34:15, 28.22s/it] 34%|███▍ | 1612/4745 [13:03:02<24:07:24, 27.72s/it] 34%|███▍ | 1613/4745 [13:03:28<23:51:12, 27.42s/it] 34%|███▍ | 1614/4745 [13:03:55<23:39:52, 27.21s/it] 34%|███▍ | 1615/4745 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26.52s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 36%|███▌ | 1701/4745 [13:45:48<75:16:49, 89.03s/it] 36%|███▌ | 1702/4745 [13:46:15<59:18:59, 70.17s/it] 36%|███▌ | 1703/4745 [13:46:41<48:13:45, 57.08s/it] 36%|███▌ | 1704/4745 [13:47:08<40:29:42, 47.94s/it] 36%|███▌ | 1705/4745 [13:47:34<35:03:47, 41.52s/it] 36%|███▌ | 1706/4745 [13:48:01<31:15:23, 37.03s/it] 36%|███▌ | 1707/4745 [13:48:27<28:35:35, 33.88s/it] 36%|███▌ | 1708/4745 [13:48:54<26:43:18, 31.68s/it] 36%|███▌ | 1709/4745 [13:49:21<25:26:00, 30.16s/it] 36%|███▌ | 1710/4745 [13:49:47<24:31:32, 29.09s/it] 36%|███▌ | 1710/4745 [13:49:47<24:31:32, 29.09s/it] 36%|███▌ | 1711/4745 [13:50:14<23:52:54, 28.34s/it] 36%|███▌ | 1712/4745 [13:50:40<23:26:11, 27.82s/it] 36%|███▌ | 1713/4745 [13:51:07<23:07:06, 27.45s/it] 36%|███▌ | 1714/4745 [13:51:33<22:52:39, 27.17s/it] 36%|███▌ | 1715/4745 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26.50s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 38%|███▊ | 1801/4745 [14:33:40<75:41:16, 92.55s/it] 38%|███▊ | 1802/4745 [14:34:06<59:28:12, 72.75s/it] 38%|███▊ | 1803/4745 [14:34:33<48:07:24, 58.89s/it] 38%|███▊ | 1804/4745 [14:34:59<40:11:30, 49.20s/it] 38%|███▊ | 1805/4745 [14:35:26<34:39:04, 42.43s/it] 38%|███▊ | 1806/4745 [14:35:53<30:46:48, 37.70s/it] 38%|███▊ | 1807/4745 [14:36:19<28:01:51, 34.35s/it] 38%|███▊ | 1808/4745 [14:36:46<26:07:05, 32.01s/it] 38%|███▊ | 1809/4745 [14:37:12<24:46:41, 30.38s/it] 38%|███▊ | 1810/4745 [14:37:39<23:50:22, 29.24s/it] 38%|███▊ | 1810/4745 [14:37:39<23:50:22, 29.24s/it] 38%|███▊ | 1811/4745 [14:38:06<23:10:29, 28.44s/it] 38%|███▊ | 1812/4745 [14:38:32<22:43:15, 27.89s/it] 38%|███▊ | 1813/4745 [14:38:59<22:24:13, 27.51s/it] 38%|███▊ | 1814/4745 [14:39:25<22:08:51, 27.20s/it] 38%|███▊ | 1815/4745 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26.50s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 40%|████ | 1901/4745 [15:20:46<62:03:28, 78.55s/it] 40%|████ | 1902/4745 [15:21:13<49:41:03, 62.91s/it] 40%|████ | 1903/4745 [15:21:39<41:01:56, 51.98s/it] 40%|████ | 1904/4745 [15:22:06<35:00:33, 44.36s/it] 40%|████ | 1905/4745 [15:22:32<30:48:20, 39.05s/it] 40%|████ | 1906/4745 [15:22:59<27:51:57, 35.34s/it] 40%|████ | 1907/4745 [15:23:26<25:46:41, 32.70s/it] 40%|████ | 1908/4745 [15:23:52<24:18:36, 30.85s/it] 40%|████ | 1909/4745 [15:24:19<23:17:17, 29.56s/it] 40%|████ | 1910/4745 [15:24:45<22:35:48, 28.69s/it] 40%|████ | 1910/4745 [15:24:45<22:35:48, 28.69s/it] 40%|████ | 1911/4745 [15:25:12<22:05:46, 28.07s/it] 40%|████ | 1912/4745 [15:25:38<21:44:20, 27.62s/it] 40%|████ | 1913/4745 [15:26:05<21:28:28, 27.30s/it] 40%|████ | 1914/4745 [15:26:32<21:18:09, 27.09s/it] 40%|████ | 1915/4745 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26.54s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 42%|████▏ | 2001/4745 [16:08:02<62:06:10, 81.48s/it] 42%|████▏ | 2002/4745 [16:08:28<49:30:26, 64.97s/it] 42%|████▏ | 2003/4745 [16:08:54<40:38:59, 53.37s/it] 42%|████▏ | 2004/4745 [16:09:21<34:30:37, 45.33s/it] 42%|████▏ | 2005/4745 [16:09:47<30:12:55, 39.70s/it] 42%|████▏ | 2006/4745 [16:10:14<27:13:37, 35.79s/it] 42%|████▏ | 2007/4745 [16:10:41<25:06:14, 33.01s/it] 42%|████▏ | 2008/4745 [16:11:07<23:37:04, 31.06s/it] 42%|████▏ | 2009/4745 [16:11:34<22:34:59, 29.71s/it] 42%|████▏ | 2010/4745 [16:12:00<21:52:00, 28.78s/it] 42%|████▏ | 2010/4745 [16:12:00<21:52:00, 28.78s/it] 42%|████▏ | 2011/4745 [16:12:27<21:21:30, 28.12s/it] 42%|████▏ | 2012/4745 [16:12:54<21:00:38, 27.68s/it] 42%|████▏ | 2013/4745 [16:13:20<20:45:19, 27.35s/it] 42%|████▏ | 2014/4745 [16:13:47<20:33:44, 27.11s/it] 42%|████▏ | 2015/4745 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2100/4745 [16:51:50<19:31:36, 26.58s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 44%|████▍ | 2101/4745 [16:56:02<69:07:15, 94.11s/it] 44%|████▍ | 2102/4745 [16:56:28<54:12:21, 73.83s/it] 44%|████▍ | 2103/4745 [16:56:55<43:46:15, 59.64s/it] 44%|████▍ | 2104/4745 [16:57:21<36:29:17, 49.74s/it] 44%|████▍ | 2105/4745 [16:57:48<31:21:57, 42.77s/it] 44%|████▍ | 2106/4745 [16:58:14<27:47:15, 37.91s/it] 44%|████▍ | 2107/4745 [16:58:41<25:15:05, 34.46s/it] 44%|████▍ | 2108/4745 [16:59:07<23:30:38, 32.10s/it] 44%|████▍ | 2109/4745 [16:59:34<22:13:09, 30.35s/it] 44%|████▍ | 2110/4745 [17:00:00<21:22:40, 29.21s/it] 44%|████▍ | 2110/4745 [17:00:00<21:22:40, 29.21s/it] 44%|████▍ | 2111/4745 [17:00:27<20:49:07, 28.45s/it] 45%|████▍ | 2112/4745 [17:00:54<20:24:34, 27.91s/it] 45%|████▍ | 2113/4745 [17:01:20<20:07:09, 27.52s/it] 45%|████▍ | 2114/4745 [17:01:47<19:55:50, 27.27s/it] 45%|████▍ | 2115/4745 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2200/4745 [17:39:53<18:46:40, 26.56s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 46%|████▋ | 2201/4745 [17:44:20<69:46:13, 98.73s/it] 46%|████▋ | 2202/4745 [17:44:46<54:26:50, 77.08s/it] 46%|████▋ | 2203/4745 [17:45:13<43:42:51, 61.91s/it] 46%|████▋ | 2204/4745 [17:45:40<36:12:13, 51.29s/it] 46%|████▋ | 2205/4745 [17:46:06<30:55:15, 43.83s/it] 46%|████▋ | 2206/4745 [17:46:32<27:15:06, 38.64s/it] 47%|████▋ | 2207/4745 [17:46:59<24:42:01, 35.04s/it] 47%|████▋ | 2208/4745 [17:47:26<22:55:36, 32.53s/it] 47%|████▋ | 2209/4745 [17:47:52<21:36:33, 30.68s/it] 47%|████▋ | 2210/4745 [17:48:19<20:43:59, 29.44s/it] 47%|████▋ | 2210/4745 [17:48:19<20:43:59, 29.44s/it] 47%|████▋ | 2211/4745 [17:48:45<20:07:02, 28.58s/it] 47%|████▋ | 2212/4745 [17:49:12<19:41:14, 27.98s/it] 47%|████▋ | 2213/4745 [17:49:38<19:22:37, 27.55s/it] 47%|████▋ | 2214/4745 [17:50:05<19:10:24, 27.27s/it] 47%|████▋ | 2215/4745 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2300/4745 [18:28:09<18:00:51, 26.52s/it]/root/.local/lib/python3.10/site-packages/qwen_vl/model/modeling_qwen2_5_vl.py:1992: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 48%|████▊ | 2301/4745 [18:33:37<79:26:43, 117.02s/it] 49%|████▊ | 2302/4745 [18:34:04<60:59:03, 89.87s/it] 49%|████▊ | 2303/4745 [18:34:30<48:04:38, 70.88s/it] 49%|████▊ | 2304/4745 [18:34:57<39:03:34, 57.61s/it] 49%|████▊ | 2305/4745 [18:35:23<32:43:49, 48.29s/it] 49%|████▊ | 2306/4745 [18:35:50<28:17:48, 41.77s/it] 49%|████▊ | 2307/4745 [18:36:16<25:11:28, 37.20s/it] 49%|████▊ | 2308/4745 [18:36:43<23:01:05, 34.00s/it] 49%|████▊ | 2309/4745 [18:37:09<21:30:00, 31.77s/it] 49%|████▊ | 2310/4745 [18:37:36<20:27:07, 30.24s/it] 49%|████▊ | 2310/4745 [18:37:36<20:27:07, 30.24s/it] 49%|████▊ | 2311/4745 [18:38:03<19:42:56, 29.16s/it] 49%|████▊ | 2312/4745 [18:38:29<19:11:27, 28.40s/it] 49%|████▊ | 2313/4745 [18:38:56<18:48:10, 27.83s/it] 49%|████▉ | 2314/4745 [18:39:22<18:31:50, 27.44s/it] 49%|████▉ | 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 63%|██████▎ | 3001/4745 [24:14:50<50:50:46, 104.96s/it] 63%|██████▎ | 3002/4745 [24:15:17<39:26:29, 81.46s/it] 63%|██████▎ | 3003/4745 [24:15:44<31:28:32, 65.05s/it] 63%|██████▎ | 3004/4745 [24:16:10<25:52:42, 53.51s/it] 63%|██████▎ | 3005/4745 [24:16:37<21:58:08, 45.45s/it] 63%|██████▎ | 3006/4745 [24:17:04<19:13:32, 39.80s/it] 63%|██████▎ | 3007/4745 [24:17:30<17:17:36, 35.82s/it] 63%|██████▎ | 3008/4745 [24:17:57<15:56:17, 33.03s/it] 63%|██████▎ | 3009/4745 [24:18:23<14:59:18, 31.08s/it] 63%|██████▎ | 3010/4745 [24:18:50<14:19:05, 29.71s/it] 63%|██████▎ | 3010/4745 [24:18:50<14:19:05, 29.71s/it] 63%|██████▎ | 3011/4745 [24:19:16<13:48:52, 28.68s/it] 63%|██████▎ | 3012/4745 [24:19:42<13:29:24, 28.02s/it] 63%|██████▎ | 3013/4745 [24:20:09<13:15:51, 27.57s/it] 64%|██████▎ | 3014/4745 [24:20:35<13:06:01, 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 65%|██████▌ | 3101/4745 [25:03:08<45:29:52, 99.63s/it] 65%|██████▌ | 3102/4745 [25:03:34<35:27:57, 77.71s/it] 65%|██████▌ | 3103/4745 [25:04:01<28:27:01, 62.38s/it] 65%|██████▌ | 3104/4745 [25:04:28<23:31:43, 51.62s/it] 65%|██████▌ | 3105/4745 [25:04:54<20:06:20, 44.13s/it] 65%|██████▌ | 3106/4745 [25:05:21<17:41:30, 38.86s/it] 65%|██████▌ | 3107/4745 [25:05:47<15:59:55, 35.16s/it] 66%|██████▌ | 3108/4745 [25:06:14<14:48:37, 32.57s/it] 66%|██████▌ | 3109/4745 [25:06:40<13:59:15, 30.78s/it] 66%|██████▌ | 3110/4745 [25:07:07<13:24:13, 29.51s/it] 66%|██████▌ | 3110/4745 [25:07:07<13:24:13, 29.51s/it] 66%|██████▌ | 3111/4745 [25:07:34<12:59:33, 28.63s/it] 66%|██████▌ | 3112/4745 [25:08:00<12:42:52, 28.03s/it] 66%|██████▌ | 3113/4745 [25:08:27<12:30:30, 27.59s/it] 66%|██████▌ | 3114/4745 [25:08:53<12:21:41, 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 67%|██████▋ | 3201/4745 [25:51:49<45:39:01, 106.44s/it] 67%|██████▋ | 3202/4745 [25:52:16<35:20:45, 82.47s/it] 68%|██████▊ | 3203/4745 [25:52:42<28:08:08, 65.69s/it] 68%|██████▊ | 3204/4745 [25:53:09<23:05:24, 53.94s/it] 68%|██████▊ | 3205/4745 [25:53:35<19:34:03, 45.74s/it] 68%|██████▊ | 3206/4745 [25:54:02<17:05:24, 39.98s/it] 68%|██████▊ | 3207/4745 [25:54:29<15:21:16, 35.94s/it] 68%|██████▊ | 3208/4745 [25:54:55<14:08:48, 33.14s/it] 68%|██████▊ | 3209/4745 [25:55:22<13:17:28, 31.15s/it] 68%|██████▊ | 3210/4745 [25:55:48<12:41:19, 29.76s/it] 68%|██████▊ | 3210/4745 [25:55:48<12:41:19, 29.76s/it] 68%|██████▊ | 3211/4745 [25:56:15<12:16:24, 28.80s/it] 68%|██████▊ | 3212/4745 [25:56:41<11:58:08, 28.11s/it] 68%|██████▊ | 3213/4745 [25:57:08<11:45:55, 27.65s/it] 68%|██████▊ | 3214/4745 [25:57:34<11:36:53, 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 74%|███████▍ | 3501/4745 [28:19:26<29:40:03, 85.86s/it] 74%|███████▍ | 3502/4745 [28:19:53<23:29:21, 68.03s/it] 74%|███████▍ | 3503/4745 [28:20:19<19:10:54, 55.60s/it] 74%|███████▍ | 3504/4745 [28:20:46<16:09:42, 46.88s/it] 74%|███████▍ | 3505/4745 [28:21:12<14:02:58, 40.79s/it] 74%|███████▍ | 3506/4745 [28:21:39<12:33:39, 36.50s/it] 74%|███████▍ | 3507/4745 [28:22:05<11:29:55, 33.44s/it] 74%|███████▍ | 3508/4745 [28:22:32<10:46:45, 31.37s/it] 74%|███████▍ | 3509/4745 [28:22:58<10:16:16, 29.92s/it] 74%|███████▍ | 3510/4745 [28:23:25<9:55:03, 28.91s/it] 74%|███████▍ | 3510/4745 [28:23:25<9:55:03, 28.91s/it] 74%|███████▍ | 3511/4745 [28:23:51<9:38:27, 28.13s/it] 74%|███████▍ | 3512/4745 [28:24:18<9:28:40, 27.67s/it] 74%|███████▍ | 3513/4745 [28:24:44<9:21:51, 27.36s/it] 74%|███████▍ | 3514/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 76%|███████▌ | 3601/4745 [29:07:25<29:55:29, 94.17s/it] 76%|███████▌ | 3602/4745 [29:07:52<23:27:12, 73.87s/it] 76%|███████▌ | 3603/4745 [29:08:18<18:55:15, 59.65s/it] 76%|███████▌ | 3604/4745 [29:08:45<15:45:54, 49.74s/it] 76%|███████▌ | 3605/4745 [29:09:11<13:33:25, 42.81s/it] 76%|███████▌ | 3606/4745 [29:09:38<12:00:25, 37.95s/it] 76%|███████▌ | 3607/4745 [29:10:05<10:56:03, 34.59s/it] 76%|███████▌ | 3608/4745 [29:10:31<10:09:54, 32.19s/it] 76%|███████▌ | 3609/4745 [29:10:58<9:37:10, 30.48s/it] 76%|███████▌ | 3610/4745 [29:11:24<9:14:37, 29.32s/it] 76%|███████▌ | 3610/4745 [29:11:24<9:14:37, 29.32s/it] 76%|███████▌ | 3611/4745 [29:11:51<8:58:17, 28.48s/it] 76%|███████▌ | 3612/4745 [29:12:18<8:47:29, 27.93s/it] 76%|███████▌ | 3613/4745 [29:12:44<8:39:48, 27.55s/it] 76%|███████▌ | 3614/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 78%|███████▊ | 3701/4745 [29:55:15<26:23:59, 91.03s/it] 78%|███████▊ | 3702/4745 [29:55:41<20:45:31, 71.65s/it] 78%|███████▊ | 3703/4745 [29:56:08<16:50:03, 58.16s/it] 78%|███████▊ | 3704/4745 [29:56:34<14:04:23, 48.67s/it] 78%|███████▊ | 3705/4745 [29:57:01<12:08:24, 42.02s/it] 78%|███████▊ | 3706/4745 [29:57:27<10:47:42, 37.40s/it] 78%|███████▊ | 3707/4745 [29:57:54<9:51:16, 34.18s/it] 78%|███████▊ | 3708/4745 [29:58:21<9:11:42, 31.92s/it] 78%|███████▊ | 3709/4745 [29:58:47<8:43:32, 30.32s/it] 78%|███████▊ | 3710/4745 [29:59:14<8:23:42, 29.20s/it] 78%|███████▊ | 3710/4745 [29:59:14<8:23:42, 29.20s/it] 78%|███████▊ | 3711/4745 [29:59:40<8:09:22, 28.40s/it] 78%|███████▊ | 3712/4745 [30:00:07<7:59:26, 27.85s/it] 78%|███████▊ | 3713/4745 [30:00:33<7:52:10, 27.45s/it] 78%|███████▊ | 3714/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 86%|████████▋ | 4101/4745 [33:10:37<15:48:19, 88.35s/it] 86%|████████▋ | 4102/4745 [33:11:04<12:28:01, 69.80s/it] 86%|████████▋ | 4103/4745 [33:11:30<10:08:03, 56.83s/it] 86%|████████▋ | 4104/4745 [33:11:57<8:30:22, 47.77s/it] 87%|████████▋ | 4105/4745 [33:12:24<7:21:37, 41.40s/it] 87%|████████▋ | 4106/4745 [33:12:50<6:33:31, 36.95s/it] 87%|████████▋ | 4107/4745 [33:13:17<5:59:42, 33.83s/it] 87%|████████▋ | 4108/4745 [33:13:43<5:36:15, 31.67s/it] 87%|████████▋ | 4109/4745 [33:14:10<5:19:53, 30.18s/it] 87%|████████▋ | 4110/4745 [33:14:37<5:07:52, 29.09s/it] 87%|████████▋ | 4110/4745 [33:14:37<5:07:52, 29.09s/it] 87%|████████▋ | 4111/4745 [33:15:03<4:59:14, 28.32s/it] 87%|████████▋ | 4112/4745 [33:15:30<4:53:07, 27.78s/it] 87%|████████▋ | 4113/4745 [33:15:56<4:48:59, 27.44s/it] 87%|████████▋ | 4114/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 89%|████████▊ | 4201/4745 [33:58:48<14:45:50, 97.70s/it] 89%|████████▊ | 4202/4745 [33:59:14<11:30:58, 76.35s/it] 89%|████████▊ | 4203/4745 [33:59:41<9:14:27, 61.38s/it] 89%|████████▊ | 4204/4745 [34:00:07<7:38:55, 50.90s/it] 89%|████████▊ | 4205/4745 [34:00:34<6:32:16, 43.59s/it] 89%|████████▊ | 4206/4745 [34:01:00<5:45:34, 38.47s/it] 89%|████████▊ | 4207/4745 [34:01:27<5:12:52, 34.89s/it] 89%|████████▊ | 4208/4745 [34:01:54<4:50:09, 32.42s/it] 89%|████████▊ | 4209/4745 [34:02:20<4:33:56, 30.67s/it] 89%|████████▊ | 4210/4745 [34:02:47<4:22:37, 29.45s/it] 89%|████████▊ | 4210/4745 [34:02:47<4:22:37, 29.45s/it] 89%|████████▊ | 4211/4745 [34:03:13<4:14:25, 28.59s/it] 89%|████████▉ | 4212/4745 [34:03:39<4:07:19, 27.84s/it] 89%|████████▉ | 4213/4745 [34:04:06<4:03:34, 27.47s/it] 89%|████████▉ | 4214/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 95%|█████████▍| 4501/4745 [36:26:54<6:07:44, 90.43s/it] 95%|█████████▍| 4502/4745 [36:27:20<4:48:30, 71.24s/it] 95%|█████████▍| 4503/4745 [36:27:47<3:53:10, 57.81s/it] 95%|█████████▍| 4504/4745 [36:28:13<3:14:31, 48.43s/it] 95%|█████████▍| 4505/4745 [36:28:40<2:47:34, 41.90s/it] 95%|█████████▍| 4506/4745 [36:29:06<2:28:31, 37.28s/it] 95%|█████████▍| 4507/4745 [36:29:33<2:15:17, 34.11s/it] 95%|█████████▌| 4508/4745 [36:30:00<2:05:44, 31.83s/it] 95%|█████████▌| 4509/4745 [36:30:26<1:58:56, 30.24s/it] 95%|█████████▌| 4510/4745 [36:30:53<1:54:03, 29.12s/it] 95%|█████████▌| 4510/4745 [36:30:53<1:54:03, 29.12s/it] 95%|█████████▌| 4511/4745 [36:31:19<1:50:31, 28.34s/it] 95%|█████████▌| 4512/4745 [36:31:46<1:48:01, 27.82s/it] 95%|█████████▌| 4513/4745 [36:32:12<1:46:07, 27.45s/it] 95%|█████████▌| 4514/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 97%|█████████▋| 4601/4745 [37:14:00<3:07:40, 78.20s/it] 97%|█████████▋| 4602/4745 [37:14:27<2:29:21, 62.67s/it] 97%|█████████▋| 4603/4745 [37:14:53<2:02:39, 51.83s/it] 97%|█████████▋| 4604/4745 [37:15:20<1:43:56, 44.23s/it] 97%|█████████▋| 4605/4745 [37:15:46<1:30:50, 38.93s/it] 97%|█████████▋| 4606/4745 [37:16:13<1:21:35, 35.22s/it] 97%|█████████▋| 4607/4745 [37:16:39<1:15:01, 32.62s/it] 97%|█████████▋| 4608/4745 [37:17:06<1:10:19, 30.80s/it] 97%|█████████▋| 4609/4745 [37:17:32<1:06:55, 29.52s/it] 97%|█████████▋| 4610/4745 [37:17:59<1:04:26, 28.64s/it] 97%|█████████▋| 4610/4745 [37:17:59<1:04:26, 28.64s/it] 97%|█████████▋| 4611/4745 [37:18:25<1:02:32, 28.01s/it] 97%|█████████▋| 4612/4745 [37:18:52<1:00:50, 27.44s/it] 97%|█████████▋| 4613/4745 [37:19:18<59:47, 27.18s/it] 97%|█████████▋| 4614/4745 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Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=dtype): /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:92: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings.warn( /opt/conda/envs/python3.10.13/lib/python3.10/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead. with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined] 99%|█████████▉| 4701/4745 [38:02:00<1:09:00, 94.10s/it] 99%|█████████▉| 4702/4745 [38:02:26<52:53, 73.80s/it] 99%|█████████▉| 4703/4745 [38:02:53<41:44, 59.63s/it] 99%|█████████▉| 4704/4745 [38:03:19<33:57, 49.69s/it] 99%|█████████▉| 4705/4745 [38:03:46<28:29, 42.74s/it] 99%|█████████▉| 4706/4745 [38:04:12<24:37, 37.88s/it] 99%|█████████▉| 4707/4745 [38:04:39<21:50, 34.48s/it] 99%|█████████▉| 4708/4745 [38:05:05<19:46, 32.06s/it] 99%|█████████▉| 4709/4745 [38:05:32<18:14, 30.40s/it] 99%|█████████▉| 4710/4745 [38:05:58<17:03, 29.24s/it] 99%|█████████▉| 4710/4745 [38:05:58<17:03, 29.24s/it] 99%|█████████▉| 4711/4745 [38:06:25<16:06, 28.43s/it] 99%|█████████▉| 4712/4745 [38:06:51<15:19, 27.88s/it] 99%|█████████▉| 4713/4745 [38:07:18<14:39, 27.49s/it] 99%|█████████▉| 4714/4745 [38:07:44<13:59, 27.09s/it] 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1.1851012608776355, 'epoch': 1.0} ] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 03/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 04/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 05/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 06/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 08/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 09/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 10/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 11/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 12/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 13/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 14/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36407 [0] NCCL INFO [Proxy Progress] Device 0 CPU core 152 xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 00/0 : 56[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 08/0 : 56[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 07/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Channel 15/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36397 [0] NCCL INFO Connected all rings xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 00/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 01/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 02/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 03/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 04/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 05/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 06/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 07/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 08/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 09/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 10/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 11/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 12/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 13/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 14/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 15/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 07/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 15/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 08/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 12/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 00/0 : 32[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 04/0 : 32[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 00/0 : 0[0] -> 32[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 04/0 : 0[0] -> 32[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 08/0 : 8[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Channel 12/0 : 8[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36909 [0] NCCL INFO Connected all trees xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 00/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 01/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 02/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 03/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 04/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 05/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 06/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 07/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 08/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 09/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 10/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 11/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 12/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 13/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 14/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 15/0 : 0[0] -> 1[1] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 07/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 15/0 : 0[0] -> 7[7] via P2P/CUMEM xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 08/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 12/0 : 0[0] -> 8[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 00/0 : 32[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 04/0 : 32[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 00/0 : 0[0] -> 32[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 04/0 : 0[0] -> 32[0] [send] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 08/0 : 8[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Channel 12/0 : 8[0] -> 0[0] [receive] via NET/IB/0/GDRDMA xdl-5de9c63d2f8a-worker-0:1272:36933 [0] NCCL INFO Connected all trees xdl-5de9c63d2f8a-worker-0:1272:36384 [0] NCCL INFO [Service thread] Connection closed by localRank 1 xdl-5de9c63d2f8a-worker-0:1272:1916 [0] NCCL INFO [Service thread] Connection closed by localRank 1 xdl-5de9c63d2f8a-worker-0:1272:36384 [0] NCCL INFO [Service thread] Connection closed by localRank 7 xdl-5de9c63d2f8a-worker-0:1272:1916 [0] NCCL INFO [Service thread] Connection closed by localRank 7 xdl-5de9c63d2f8a-worker-0:1272:1272 [0] NCCL INFO [C4A] agent unregister successfully xdl-5de9c63d2f8a-worker-0:1272:1868 [0] NCCL INFO [C4A] WARN connection status check failed, fd:152, tcp_state:8)