pytorch - 💡(How to fix) Fix dynamo onnx export regression on 2.11.0: module 'onnx_ir' has no attribute 'schemas' [4 comments, 2 participants]

import torch
import torch.onnx


class MyModel(torch.nn.Module):
    def forward(self, x, y):
        return x + y


x = torch.tensor(3, dtype=torch.float)
y = torch.tensor(10, dtype=torch.float)


model = MyModel()
example_input = (x, y)
samples = model(x, y)
torch.onnx.export(model, example_input, "model.onnx", dynamo=True)

---

/home/victor/projects/torchlensmaker/onnx_export2.11.py:17: UserWarning: Exporting a model while it is in training mode. Please ensure that this is intended, as it may lead to different behavior during inference. Calling model.eval() before export is recommended.
  torch.onnx.export(model, example_input, "model.onnx", dynamo=True)
Traceback (most recent call last):
  File "/home/victor/projects/torchlensmaker/onnx_export2.11.py", line 17, in <module>
    torch.onnx.export(model, example_input, "model.onnx", dynamo=True)
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/__init__.py", line 291, in export
    return _compat.export_compat(
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_compat.py", line 149, in export_compat
    registry = _registration.ONNXRegistry().from_torchlib(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_registration.py", line 168, in from_torchlib
    for meta in _torchlib_registry.get_torchlib_ops():
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_torchlib/_torchlib_registry.py", line 90, in get_torchlib_ops
    from torch.onnx._internal.exporter._torchlib import ops
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_torchlib/ops/__init__.py", line 6, in <module>
    from torch.onnx._internal.exporter._torchlib.ops import core, hop, nn, symbolic, symops
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_torchlib/ops/core.py", line 20, in <module>
    @onnx_impl((aten.abs.default, operator.abs), trace_only=True)
     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_torchlib/_torchlib_registry.py", line 74, in wrapper
    _registration.OnnxDecompMeta(
  File "<string>", line 11, in __init__
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_registration.py", line 75, in __post_init__
    signature = _schemas.op_signature_from_function(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_schemas.py", line 268, in op_signature_from_function
    type_constraint = ir.schemas.TypeConstraintParam(
                      ^^^^^^^^^^
  File "/home/victor/projects/torchlensmaker/.venv/lib/python3.12/site-packages/torch/onnx/_internal/_lazy_import.py", line 22, in __getattr__
    return getattr(self._module, attr)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'onnx_ir' has no attribute 'schemas'

---

Collecting environment information...
PyTorch version: 2.11.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Fedora Linux 43 (Workstation Edition) (x86_64)
GCC version: (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.42

Python version: 3.12.13 (main, Mar  3 2026, 14:59:34) [Clang 21.1.4 ] (64-bit runtime)
Python platform: Linux-6.19.10-200.fc43.x86_64-x86_64-with-glibc2.42
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Caching allocator config: N/A

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):                                  4
On-line CPU(s) list:                     0-3
Vendor ID:                               GenuineIntel
Model name:                              Intel(R) Core(TM) i5-4690K CPU @ 3.50GHz
CPU family:                              6
Model:                                   60
Thread(s) per core:                      1
Core(s) per socket:                      4
Socket(s):                               1
Stepping:                                3
CPU(s) scaling MHz:                      100%
CPU max MHz:                             3900.0000
CPU min MHz:                             800.0000
BogoMIPS:                                7000.44
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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf 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 cpuid_fault pti ssbd ibrs ibpb stibp tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm ida arat pln pts vnmi md_clear flush_l1d
Virtualization:                          VT-x
L1d cache:                               128 KiB (4 instances)
L1i cache:                               128 KiB (4 instances)
L2 cache:                                1 MiB (4 instances)
L3 cache:                                6 MiB (1 instance)
NUMA node(s):                            1
NUMA node0 CPU(s):                       0-3
Vulnerability Gather data sampling:      Not affected
Vulnerability Ghostwrite:                Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit:             KVM: Mitigation: Split huge pages
Vulnerability L1tf:                      Mitigation; PTE Inversion; VMX conditional cache flushes, SMT disabled
Vulnerability Mds:                       Mitigation; Clear CPU buffers; SMT disabled
Vulnerability Meltdown:                  Mitigation; PTI
Vulnerability Mmio stale data:           Not affected
Vulnerability Old microcode:             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; Retpolines; IBPB conditional; IBRS_FW; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                     Mitigation; Microcode
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

Versions of relevant libraries:
[pip3] Could not collect
[conda] Could not collect