torch.compile is not compatible with DPP with torch.nn.SyncBatchNorm.convert_sync_batchnorm()
Labels: triaged, module: ddp, module: norms and normalization, oncall: pt2, module: inductor

### 🐛 Describe the bug

The error was triggered during training using torch.compile with DDP and SyncBatchNorm.
Circumstances:
1. DDP + SyncBatchNorm, working normally
2. torch.compile + DDP, working normally
3. torch.compile + single gpu, working normally
4. torch.compile + DDP + SyncBatchNorm, not working and raised error below

### Error logs
Brief logs:
Traceback (most recent call last):
  File "/home/cg/zzt/midepth/train.py", line 419, in <module>
    mp.spawn(main_worker, nprocs=ngpus_per_node, args=(ngpus_per_node, args))
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 239, in spawn
    return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
    while not context.join():
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 160, in join
    raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:

-- Process 0 terminated with the following error:
Traceback (most recent call last):
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
    fn(i, *args)
  File "/home/cg/zzt/midepth/train.py", line 104, in main_worker
    train(model, args, epochs=args.epochs, lr=args.lr, device=args.gpu, root=args.root,
  File "/home/cg/zzt/midepth/train.py", line 197, in train
    loss.backward()
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_tensor.py", line 487, in backward
    torch.autograd.backward(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/__init__.py", line 200, in backward
    Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/function.py", line 274, in apply
    return user_fn(self, *args)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 2310, in backward
    list(ctx.symints) + list(ctx.saved_tensors) + list(contiguous_args)
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [6, 3072, 13, 17]], which is output 0 of torch::autograd::CopyBackwards, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

Verbose logs:
/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/__init__.py:303: UserWarning: Error detected in ConvolutionBackward0. Traceback of forward call that caused the error:
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/geffnet/conv2d_layers.py", line 72, in conv2d_same
    return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
 |   File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/geffnet/conv2d_layers.py", line 86, in forward
    return conv2d_same(x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
 (Triggered internally at /opt/conda/conda-bld/pytorch_1678411187366/work/torch/csrc/autograd/python_anomaly_mode.cpp:114.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/__init__.py:303: UserWarning: Error detected in ConvolutionBackward0. Traceback of forward call that caused the error:
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/geffnet/conv2d_layers.py", line 72, in conv2d_same
    return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
 |   File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/geffnet/conv2d_layers.py", line 86, in forward
    return conv2d_same(x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
 (Triggered internally at /opt/conda/conda-bld/pytorch_1678411187366/work/torch/csrc/autograd/python_anomaly_mode.cpp:114.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
Epoch: 1/30. Loop: Train:   0%|                        | 0/4234 [00:05<?, ?it/s]
Traceback (most recent call last):
  File "/home/cg/zzt/midepth/train.py", line 419, in <module>
    mp.spawn(main_worker, nprocs=ngpus_per_node, args=(ngpus_per_node, args))
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 239, in spawn
    return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
    while not context.join():
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 160, in join
    raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:

-- Process 1 terminated with the following error:
Traceback (most recent call last):
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 670, in call_user_compiler
    compiled_fn = compiler_fn(gm, self.fake_example_inputs())
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/backends/distributed.py", line 203, in compile_fn
    return self.backend_compile_fn(gm, example_inputs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/debug_utils.py", line 1055, in debug_wrapper
    compiled_gm = compiler_fn(gm, example_inputs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/__init__.py", line 1390, in __call__
    return compile_fx(model_, inputs_, config_patches=self.config)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 455, in compile_fx
    return aot_autograd(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 48, in compiler_fn
    cg = aot_module_simplified(gm, example_inputs, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 2805, in aot_module_simplified
    compiled_fn = create_aot_dispatcher_function(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 163, in time_wrapper
    r = func(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 2498, in create_aot_dispatcher_function
    compiled_fn = compiler_fn(flat_fn, fake_flat_args, aot_config)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1713, in aot_wrapper_dedupe
    return compiler_fn(flat_fn, leaf_flat_args, aot_config)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 2087, in aot_dispatch_autograd
    fx_g = make_fx(joint_forward_backward, aot_config.decompositions)(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 714, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 209, in _fn
    return fn(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 443, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 209, in _fn
    return fn(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 778, in trace
    (self.create_arg(fn(*args)),),
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 652, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped
    out = f(*tensors)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1156, in traced_joint
    return functionalized_f_helper(primals, tangents)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1108, in functionalized_f_helper
    f_outs = flat_fn_no_input_mutations(fn, f_primals, f_tangents, meta, keep_input_mutations)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1076, in flat_fn_no_input_mutations
    outs = flat_fn_with_synthetic_bases_expanded(fn, primals, primals_after_cloning, maybe_tangents, meta, keep_input_mutations)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1048, in flat_fn_with_synthetic_bases_expanded
    outs = forward_or_joint(fn, primals_before_cloning, primals, maybe_tangents, meta, keep_input_mutations)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1017, in forward_or_joint
    backward_out = torch.autograd.grad(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/__init__.py", line 269, in grad
    return handle_torch_function(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/overrides.py", line 1534, in handle_torch_function
    result = mode.__torch_function__(public_api, types, args, kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_inductor/overrides.py", line 38, in __torch_function__
    return func(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/autograd/__init__.py", line 303, in grad
    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/utils/_stats.py", line 20, in wrapper
    return fn(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 487, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 512, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 345, in proxy_call
    out = func(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_ops.py", line 287, in __call__
    return self._op(*args, **kwargs or {})
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/utils/_stats.py", line 20, in wrapper
    return fn(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 987, in __torch_dispatch__
    return self.dispatch(func, types, args, kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 1162, in dispatch
    op_impl_out = op_impl(self, func, *args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 410, in local_scalar_dense
    raise DataDependentOutputException(func)
torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
    fn(i, *args)
  File "/home/cg/zzt/midepth/train.py", line 104, in main_worker
    train(model, args, epochs=args.epochs, lr=args.lr, device=args.gpu, root=args.root,
  File "/home/cg/zzt/midepth/train.py", line 190, in train
    pred = model(img) * args.max_depth
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 1156, in forward
    output = self._run_ddp_forward(*inputs, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 1110, in _run_ddp_forward
    return module_to_run(*inputs[0], **kwargs[0])  # type: ignore[index]
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 82, in forward
    return self.dynamo_ctx(self._orig_mod.forward)(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 209, in _fn
    return fn(*args, **kwargs)
  File "/home/cg/zzt/midepth/models/unet.py", line 20, in forward
    features = self.encoder(x)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/cg/zzt/midepth/models/unet.py", line 44, in forward
    features.append(v(features[-1]))
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 334, in catch_errors
    return hijacked_callback(frame, cache_size, hooks)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 404, in _convert_frame
    result = inner_convert(frame, cache_size, hooks)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 104, in _fn
    return fn(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 262, in _convert_frame_assert
    return _compile(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 163, in time_wrapper
    r = func(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 324, in _compile
    out_code = transform_code_object(code, transform)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 445, in transform_code_object
    transformations(instructions, code_options)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 311, in transform
    tracer.run()
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1726, in run
    super().run()
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 576, in run
    and self.step()
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 540, in step
    getattr(self, inst.opname)(inst)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1792, in RETURN_VALUE
    self.output.compile_subgraph(
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 517, in compile_subgraph
    self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 588, in compile_and_call_fx_graph
    compiled_fn = self.call_user_compiler(gm)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 163, in time_wrapper
    r = func(*args, **kwargs)
  File "/home/cg/anaconda3/envs/tc2/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 675, in call_user_compiler
    raise BackendCompilerFailed(self.compiler_fn, e) from e
torch._dynamo.exc.BackendCompilerFailed: compile_fn raised DataDependentOutputException: aten._local_scalar_dense.default



### Minified repro

_No response_

### Versions

PyTorch version: 2.0.0
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.1 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31

Python version: 3.10.11 (main, Apr 20 2023, 19:02:41) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 11.7.64
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090

Nvidia driver version: 525.105.17
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
Byte Order:                      Little Endian
Address sizes:                   46 bits physical, 48 bits virtual
CPU(s):                          64
On-line CPU(s) list:             0-63
Thread(s) per core:              2
Core(s) per socket:              16
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           85
Model name:                      Intel(R) Xeon(R) Silver 4216 CPU @ 2.10GHz
Stepping:                        7
CPU MHz:                         2100.000
CPU max MHz:                     3200.0000
CPU min MHz:                     800.0000
BogoMIPS:                        4200.00
Virtualization:                  VT-x
L1d cache:                       1 MiB
L1i cache:                       1 MiB
L2 cache:                        32 MiB
L3 cache:                        44 MiB
NUMA node0 CPU(s):               0-15,32-47
NUMA node1 CPU(s):               16-31,48-63
Vulnerability Itlb multihit:     KVM: Mitigation: VMX disabled
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Mmio stale data:   Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed:          Mitigation; Enhanced IBRS
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled
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 pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke avx512_vnni md_clear flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.24.3
[pip3] torch==2.0.0
[pip3] torchinfo==1.7.2
[pip3] torchvision==0.15.0
[pip3] triton==2.0.0
[conda] blas                      1.0                         mkl  
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640  
[conda] mkl-service               2.4.0           py310h7f8727e_0  
[conda] mkl_fft                   1.3.1           py310hd6ae3a3_0  
[conda] mkl_random                1.2.2           py310h00e6091_0  
[conda] numpy                     1.24.3          py310hd5efca6_0  
[conda] numpy-base                1.24.3          py310h8e6c178_0  
[conda] pytorch                   2.0.0           py3.10_cuda11.7_cudnn8.5.0_0    pytorch
[conda] pytorch-cuda              11.7                 h778d358_3    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torchinfo                 1.7.2                    pypi_0    pypi
[conda] torchtriton               2.0.0                     py310    pytorch
[conda] torchvision               0.15.0              py310_cu117    pytorch

cc @ezyang @soumith @msaroufim @wconstab @ngimel @bdhirsh @voznesenskym @penguinwu @anijain2305 @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @desertfire