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Collecting environment information...
PyTorch version: 2.1.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OneFlow version: path: ['/root/miniconda3/lib/python3.10/site-packages/oneflow'], version: 0.9.1.dev20240701+cu121, git_commit: ec7b682, cmake_build_type: Release, rdma: True, mlir: True, enterprise: False
Nexfort version: none
OneDiff version: unknown version
OneDiffX version: none
OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: version 3.27.7
Libc version: glibc-2.35
Python version: 3.10.8 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-78-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 11.8.89
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090
Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.6.0
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: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 256
On-line CPU(s) list: 0-255
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9754 128-Core Processor
CPU family: 25
Model: 160
Thread(s) per core: 2
Core(s) per socket: 128
Socket(s): 1
Stepping: 2
Frequency boost: enabled
CPU max MHz: 3100.3411
CPU min MHz: 1500.0000
BogoMIPS: 4499.91
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d
Virtualization: AMD-V
L1d cache: 4 MiB (128 instances)
L1i cache: 4 MiB (128 instances)
L2 cache: 128 MiB (128 instances)
L3 cache: 256 MiB (16 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-255
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
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; Retpolines, IBPB conditional, IBRS_FW, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] diffusers==0.29.2
[pip3] numpy==1.26.4
[pip3] onnx==1.16.1
[pip3] onnx2torch==1.5.14
[pip3] onnxruntime==1.18.0
[pip3] onnxruntime-gpu==1.18.0
[pip3] open-clip-torch==2.23.0
[pip3] torch==2.1.0
[pip3] torchaudio==2.1.0+cu121
[pip3] torchsde==0.2.6
[pip3] torchvision==0.16.0+cu121
[pip3] transformers==4.42.3
[pip3] triton==2.1.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] onnx2torch 1.5.14 pypi_0 pypi
[conda] open-clip-torch 2.23.0 pypi_0 pypi
[conda] torch 2.1.0 pypi_0 pypi
[conda] torchaudio 2.1.0+cu121 pypi_0 pypi
[conda] torchsde 0.2.6 pypi_0 pypi
[conda] torchvision 0.16.0+cu121 pypi_0 pypi
[conda] triton 2.1.0 pypi_0 pypi
🐛 Describe the bug
复现步骤:
使用 onediff + IPA 工作流生图
使用 onediff 普通文生图工作流生图
使用 onediff + IPA 工作流生图
Loading 1 new model
12%|█▎ | 3/24 [00:01<00:09, 2.20it/s]WARNING [2024-08-13 15:22:46] /root/onediff/src/onediff/infer_compiler/backends/oneflow/arg
s_tree_util.py:64 - Input structure key e84179 to 16bd5e has changed. Resetting the deployable module graph. This may slow down the proce
ss.
Stack trace (most recent call last) in thread 5387:
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b318f27, in
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b31879c, in
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b314018, in vm::Threa
dCtx::TryReceiveAndRun()
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b2b68d4, in vm::EpStr
eamPolicyBase::Run(vm::Instruction*) const
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b2b9bb7, in vm::Instr
uction::Compute()
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b2c0f58, in vm::OpCal
lInstructionPolicy::Compute(vm::Instruction*)
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b2c0c29, in
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b5b2bbd9a, in
Object "/root/miniconda3/lib/python3.10/site-packages/oneflow/../oneflow.libs/liboneflow-528d7a4e.so", at 0x7f8b52aadd3c, in
Aborted (Signal sent by tkill() 4955 0)
start_comfy.sh: line 17: 4955 Aborted
The text was updated successfully, but these errors were encountered:
Your current environment information
🐛 Describe the bug
复现步骤:
The text was updated successfully, but these errors were encountered: