pytorch - 💡(How to fix) Fix torch.compile returns inf for torch.acosh on large finite float32 inputs while eager returns finite values

🐛 Describe the bug

torch.compile with the Inductor backend produces different results from eager execution for torch.acosh on large finite float32 inputs.

Eager execution returns finite logarithmic-scale values, while the compiled version returns inf for the same inputs.

import warnings
warnings.filterwarnings("ignore")

import numpy as np
import torch

def fn(x):
    return torch.acosh(x)

x = torch.tensor([5e22, 9e25, 7e21, 2.0], dtype=torch.float32)

eager = fn(x).cpu().numpy()

torch._dynamo.reset()
compiled = torch.compile(fn, backend="inductor", fullgraph=True)(x).cpu().numpy()

print(f"input: {x.cpu().numpy()}")
print(f"eager: {eager}")
print(f"comp : {compiled}")

assert np.isfinite(eager[0]) and 50 < eager[0] < 60
assert np.isinf(compiled[0])
assert np.isinf(compiled[1])

Error logs

input: [5.e+22 9.e+25 7.e+21 2.e+00] eager: [52.959457 60.454998 50.993343 1.316958] comp : [ inf inf inf 1.316958]

Versions

PyTorch version: 2.13.0.dev20260513+cpu Is debug build: False CUDA used to build PyTorch: Could not collect ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.3 LTS (x86_64) GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 Clang version: 18.1.3 (1ubuntu1) CMake version: Could not collect Libc version: glibc-2.39

Python version: 3.11.15 (main, Mar 11 2026, 17:20:07) [GCC 14.3.0] (64-bit runtime) Python platform: Linux-6.17.0-20-generic-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 RTX 6000 Ada Generation GPU 1: NVIDIA RTX 6000 Ada Generation

Nvidia driver version: 570.211.01 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==2.4.4 [pip3] torch==2.13.0.dev20260513+cpu [conda] numpy 2.4.4 pypi_0 pypi [conda] torch 2.13.0.dev20260513+cpu pypi_0 pypi

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