text: Title: `dist.barrier()` fails with TORCH_DISTRIBUTED_DEBUG=DETAIL and after dist.send/dist.recv calls
  Body: This program
  
  ```sh
  $ cat bug.py 
  import torch
  import torch.distributed as dist
  import torch.distributed.elastic.multiprocessing.errors
  
  @dist.elastic.multiprocessing.errors.record
  def main():
      dist.init_process_group()
      rank = dist.get_rank()
      size = dist.get_world_size()
      x = torch.tensor(0)
      if rank == 0:
          x = torch.tensor(123)
          dist.send(x, 1)
      elif rank == 1:
          dist.recv(x, 0)
      dist.barrier()
      for i in range(size):
          if rank == i:
              print(f"{rank=} {size=}  {x=}")
          dist.barrier()
      dist.destroy_process_group()
  
  
  if __name__ == '__main__':
      main()
  ```
  
  Fails with 
  ```
  $ OMP_NUM_THREADS=1 TORCH_DISTRIBUTED_DEBUG=DETAIL torchrun --nproc-per-node 3 --standalone bug.py 
  [rank0]: Traceback (most recent call last):
  [rank0]:   File "/home/lisergey/deepseek/bug.py", line 25, in <module>
  [rank0]:     main()
  [rank0]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
  [rank0]:     return f(*args, **kwargs)
  [rank0]:            ^^^^^^^^^^^^^^^^^^
  [rank0]:   File "/home/lisergey/deepseek/bug.py", line 16, in main
  [rank0]:     dist.barrier()
  [rank0]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
  [rank0]:     return func(*args, **kwargs)
  [rank0]:            ^^^^^^^^^^^^^^^^^^^^^
  [rank0]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
  [rank0]:     work = group.barrier(opts=opts)
  [rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^
  [rank0]: RuntimeError: Detected mismatch between collectives on ranks. Rank 0 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER), but Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 1vs 0
  [rank2]: Traceback (most recent call last):
  [rank2]:   File "/home/lisergey/deepseek/bug.py", line 25, in <module>
  [rank2]:     main()
  [rank2]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
  [rank2]:     return f(*args, **kwargs)
  [rank2]:            ^^^^^^^^^^^^^^^^^^
  [rank2]:   File "/home/lisergey/deepseek/bug.py", line 16, in main
  [rank2]:     dist.barrier()
  [rank2]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
  [rank2]:     return func(*args, **kwargs)
  [rank2]:            ^^^^^^^^^^^^^^^^^^^^^
  [rank2]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
  [rank2]:     work = group.barrier(opts=opts)
  [rank2]:            ^^^^^^^^^^^^^^^^^^^^^^^^
  [rank2]: RuntimeError: Detected mismatch between collectives on ranks. Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER), but Rank 0 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 0vs 1
  [rank1]: Traceback (most recent call last):
  [rank1]:   File "/home/lisergey/deepseek/bug.py", line 25, in <module>
  [rank1]:     main()
  [rank1]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
  [rank1]:     return f(*args, **kwargs)
  [rank1]:            ^^^^^^^^^^^^^^^^^^
  [rank1]:   File "/home/lisergey/deepseek/bug.py", line 16, in main
  [rank1]:     dist.barrier()
  [rank1]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
  [rank1]:     return func(*args, **kwargs)
  [rank1]:            ^^^^^^^^^^^^^^^^^^^^^
  [rank1]:   File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
  [rank1]:     work = group.barrier(opts=opts)
  [rank1]:            ^^^^^^^^^^^^^^^^^^^^^^^^
  [rank1]: RuntimeError: Detected mismatch between collectives on ranks. Rank 1 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER), but Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 1vs 0
  E0311 18:33:20.716000 340050 torch/distributed/elastic/multiprocessing/api.py:869] failed (exitcode: 1) local_rank: 0 (pid: 340054) of binary: /usr/bin/python
  E0311 18:33:20.729000 340050 torch/distributed/elastic/multiprocessing/errors/error_handler.py:141] no error file defined for parent, to copy child error file (/tmp/torchelastic_ih8xk_wi/5240416c-e326-45c8-a708-c3ec0cc3d51b_sfj1zute/attempt_0/0/error.json)
  Traceback (most recent call last):
    File "/home/lisergey/.local/bin/torchrun", line 8, in <module>
      sys.exit(main())
               ^^^^^^
    File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
      return f(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^
    File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/run.py", line 918, in main
      run(args)
    File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/run.py", line 909, in run
      elastic_launch(
    File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 138, in __call__
      return launch_agent(self._config, self._entrypoint, list(args))
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 269, in launch_agent
      raise ChildFailedError(
  torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
  ============================================================
  bug.py FAILED
  ------------------------------------------------------------
  Failures:
  [1]:
    time      : 2025-03-11_18:33:20
    host      : lenovo
    rank      : 1 (local_rank: 1)
    exitcode  : 1 (pid: 340055)
    error_file: /tmp/torchelastic_ih8xk_wi/5240416c-e326-45c8-a708-c3ec0cc3d51b_sfj1zute/attempt_0/1/error.json
    traceback : Traceback (most recent call last):
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
        return f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/deepseek/bug.py", line 16, in main
        dist.barrier()
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
        return func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
        work = group.barrier(opts=opts)
               ^^^^^^^^^^^^^^^^^^^^^^^^
    RuntimeError: Detected mismatch between collectives on ranks. Rank 1 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER), but Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 1vs 0
    
  [2]:
    time      : 2025-03-11_18:33:20
    host      : lenovo
    rank      : 2 (local_rank: 2)
    exitcode  : 1 (pid: 340056)
    error_file: /tmp/torchelastic_ih8xk_wi/5240416c-e326-45c8-a708-c3ec0cc3d51b_sfj1zute/attempt_0/2/error.json
    traceback : Traceback (most recent call last):
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
        return f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/deepseek/bug.py", line 16, in main
        dist.barrier()
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
        return func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
        work = group.barrier(opts=opts)
               ^^^^^^^^^^^^^^^^^^^^^^^^
    RuntimeError: Detected mismatch between collectives on ranks. Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER), but Rank 0 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 0vs 1
    
  ------------------------------------------------------------
  Root Cause (first observed failure):
  [0]:
    time      : 2025-03-11_18:33:20
    host      : lenovo
    rank      : 0 (local_rank: 0)
    exitcode  : 1 (pid: 340054)
    error_file: /tmp/torchelastic_ih8xk_wi/5240416c-e326-45c8-a708-c3ec0cc3d51b_sfj1zute/attempt_0/0/error.json
    traceback : Traceback (most recent call last):
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
        return f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/deepseek/bug.py", line 16, in main
        dist.barrier()
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
        return func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^
      File "/home/lisergey/.local/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 4551, in barrier
        work = group.barrier(opts=opts)
               ^^^^^^^^^^^^^^^^^^^^^^^^
    RuntimeError: Detected mismatch between collectives on ranks. Rank 0 is running collective: CollectiveFingerPrint(SequenceNumber=1OpType=BARRIER), but Rank 2 is running collective: CollectiveFingerPrint(SequenceNumber=0OpType=BARRIER).Collectives differ in the following aspects: 	 Sequence number: 1vs 0
    
  ============================================================
  ```
  
  It runs as expected with `--nproc-per-node 2`
  ```
  $ OMP_NUM_THREADS=1 TORCH_DISTRIBUTED_DEBUG=DETAIL torchrun --nproc-per-node 2 --standalone bug.py 
  rank=0 size=2  x=tensor(123)
  rank=1 size=2  x=tensor(123)
  ```
  and with any `--nproc-per-node` if I don't set `TORCH_DISTRIBUTED_DEBUG=DETAIL`:
  ```
  $ OMP_NUM_THREADS=1 torchrun --nproc-per-node 3 --standalone bug.py 
  rank=0 size=3  x=tensor(123)
  rank=1 size=3  x=tensor(123)
  rank=2 size=3  x=tensor(0)
  ```
  
  It also works even with `TORCH_DISTRIBUTED_DEBUG=DETAIL` but without `dist.send()` and `dist.recv()` calls
  ```
  $ cat bug.py 
  import torch
  import torch.distributed as dist
  import torch.distributed.elastic.multiprocessing.errors
  
  @dist.elastic.multiprocessing.errors.record
  def main():
      dist.init_process_group()
      rank = dist.get_rank()
      size = dist.get_world_size()
      x = torch.tensor(0)
      dist.barrier()
      for i in range(size):
          if rank == i:
              print(f"{rank=} {size=}  {x=}")
          dist.barrier()
      dist.destroy_process_group()
  
  
  if __name__ == '__main__':
      main()
  $ OMP_NUM_THREADS=1 TORCH_DISTRIBUTED_DEBUG=DETAIL torchrun --nproc-per-node 3 --standalone bug.py 
  rank=0 size=3  x=tensor(0)
  rank=1 size=3  x=tensor(0)
  rank=2 size=3  x=tensor(0)
  ```
  ### Versions
  
  ```
  $ python collect_env.py
  Collecting environment information...
  PyTorch version: 2.6.0+cu124
  Is debug build: False
  CUDA used to build PyTorch: 12.4
  ROCM used to build PyTorch: N/A
  
  OS: Ubuntu 24.04.1 LTS (x86_64)
  GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
  Clang version: Could not collect
  CMake version: Could not collect
  Libc version: glibc-2.39
  
  Python version: 3.12.3 (main, Feb  4 2025, 14:48:35) [GCC 13.3.0] (64-bit runtime)
  Python platform: Linux-6.11.0-19-generic-x86_64-with-glibc2.39
  Is CUDA available: False
  CUDA runtime version: 12.0.140
  CUDA_MODULE_LOADING set to: N/A
  GPU models and configuration: Could not collect
  Nvidia driver version: Could not collect
  cuDNN version: Could not collect
  HIP runtime version: N/A
  MIOpen runtime version: N/A
  Is XNNPACK available: True
  
  CPU:
  Architecture:                         x86_64
  CPU op-mode(s):                       32-bit, 64-bit
  Address sizes:                        39 bits physical, 48 bits virtual
  Byte Order:                           Little Endian
  CPU(s):                               8
  On-line CPU(s) list:                  0-7
  Vendor ID:                            GenuineIntel
  Model name:                           11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz
  CPU family:                           6
  Model:                                140
  Thread(s) per core:                   2
  Core(s) per socket:                   4
  Socket(s):                            1
  Stepping:                             1
  CPU(s) scaling MHz:                   43%
  CPU max MHz:                          4200.0000
  CPU min MHz:                          400.0000
  BogoMIPS:                             4838.40
  Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l2 cdp_l2 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid movdiri movdir64b fsrm avx512_vp2intersect md_clear ibt flush_l1d arch_capabilities
  Virtualization:                       VT-x
  L1d cache:                            192 KiB (4 instances)
  L1i cache:                            128 KiB (4 instances)
  L2 cache:                             5 MiB (4 instances)
  L3 cache:                             8 MiB (1 instance)
  NUMA node(s):                         1
  NUMA node0 CPU(s):                    0-7
  Vulnerability Gather data sampling:   Mitigation; Microcode
  Vulnerability Itlb multihit:          Not affected
  Vulnerability L1tf:                   Not affected
  Vulnerability Mds:                    Not affected
  Vulnerability Meltdown:               Not affected
  Vulnerability Mmio stale data:        Not affected
  Vulnerability Reg file data sampling: Not affected
  Vulnerability Retbleed:               Not affected
  Vulnerability Spec rstack overflow:   Not affected
  Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
  Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
  Vulnerability Spectre v2:             Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
  Vulnerability Srbds:                  Not affected
  Vulnerability Tsx async abort:        Not affected
  
  Versions of relevant libraries:
  [pip3] numpy==1.26.4
  [pip3] nvidia-cublas-cu12==12.4.5.8
  [pip3] nvidia-cuda-cupti-cu12==12.4.127
  [pip3] nvidia-cuda-nvrtc-cu12==12.4.127
  [pip3] nvidia-cuda-runtime-cu12==12.4.127
  [pip3] nvidia-cudnn-cu12==9.1.0.70
  [pip3] nvidia-cufft-cu12==11.2.1.3
  [pip3] nvidia-curand-cu12==10.3.5.147
  [pip3] nvidia-cusolver-cu12==11.6.1.9
  [pip3] nvidia-cusparse-cu12==12.3.1.170
  [pip3] nvidia-cusparselt-cu12==0.6.2
  [pip3] nvidia-nccl-cu12==2.21.5
  [pip3] nvidia-nvjitlink-cu12==12.4.127
  [pip3] nvidia-nvtx-cu12==12.4.127
  [pip3] optree==0.14.0
  [pip3] pytorch-forecasting==1.3.0
  [pip3] pytorch-lightning==2.5.0.post0
  [pip3] torch==2.6.0
  [pip3] torchmetrics==1.6.1
  [pip3] triton==3.2.0
  [conda] Could not collect
  ```
  
  cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o