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pytorch - 💡(How to fix) Fix torch.compile Inductor crashes on conv2d with bool-cast input and flattened bias [1 pull requests]

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Error Message

import torch import torch.nn as nn import torch.nn.functional as F

class M(nn.Module): def forward(self, x): b = x.to(torch.bool).float() return F.conv2d(b, b, b.flatten(), stride=1, padding=0)

m = M() x = torch.full((1, 1, 1, 1), 3.5)

m(x.clone())

torch._dynamo.reset()

try: torch.compile(m)(x.clone()) print("OK") except Exception as e: msg = str(e).splitlines()[0] matched = "NotImplementedError: View" in str(e) or "LoweringException" in str(e) print(f"raised: {type(e).name}: {msg[:120]}") print("BUG" if matched else "?")

Fix Action

Fixed

Code Example

import torch
import torch.nn as nn
import torch.nn.functional as F

class M(nn.Module):
    def forward(self, x):
        b = x.to(torch.bool).float()
        return F.conv2d(b, b, b.flatten(), stride=1, padding=0)

m = M()
x = torch.full((1, 1, 1, 1), 3.5)

m(x.clone())

torch._dynamo.reset()

try:
    torch.compile(m)(x.clone())
    print("OK")
except Exception as e:
    msg = str(e).splitlines()[0]
    matched = "NotImplementedError: View" in str(e) or "LoweringException" in str(e)
    print(f"raised: {type(e).__name__}: {msg[:120]}")
    print("BUG" if matched else "?")
RAW_BUFFERClick to expand / collapse

🐛 Describe the bug

torch.compile with the Inductor backend crashes on a pure PyTorch model using F.conv2d.

Eager execution runs successfully, but the compiled path raises an Inductor lowering error: LoweringException: NotImplementedError: View

import torch
import torch.nn as nn
import torch.nn.functional as F

class M(nn.Module):
    def forward(self, x):
        b = x.to(torch.bool).float()
        return F.conv2d(b, b, b.flatten(), stride=1, padding=0)

m = M()
x = torch.full((1, 1, 1, 1), 3.5)

m(x.clone())

torch._dynamo.reset()

try:
    torch.compile(m)(x.clone())
    print("OK")
except Exception as e:
    msg = str(e).splitlines()[0]
    matched = "NotImplementedError: View" in str(e) or "LoweringException" in str(e)
    print(f"raised: {type(e).__name__}: {msg[:120]}")
    print("BUG" if matched else "?")

Error logs

raised: InductorError: LoweringException: NotImplementedError: View BUG

Versions

PyTorch version: 2.11.0+cu130 Is debug build: False CUDA used to build PyTorch: 13.0 ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.2 LTS (x86_64) GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2.39

Python version: 3.10.20 (main, Mar 11 2026, 17:46:40) [GCC 14.3.0] (64-bit runtime) Python platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39 Is CUDA available: False CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: N/A GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3080 Laptop GPU Nvidia driver version: 545.92 cuDNN version: Could not collect Is XPU available: False HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True Caching allocator config: N/A

Versions of relevant libraries: [pip3] numpy==2.2.6 [pip3] onnx==1.21.0 [pip3] onnx2torch==1.5.15 [pip3] onnxruntime==1.23.2 [pip3] torch==2.11.0 [pip3] torchvision==0.26.0 [pip3] triton==3.6.0

cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @aakhundov @coconutruben @jataylo

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