HIP error: invalid device function on ROCm RX 7600 #2730
Description
🐛 Describe the bug
When attempting to perform any GPU compute task using PyTorch with the ROCm/HIP backend, I encounter the following error:
torch.AcceleratorError: HIP error: invalid device function
Compile with `TORCH_USE_HIP_DSA` to enable device-side assertions.Example:
import torch
print("PyTorch detects GPU:", torch.cuda.is_available())
print(f"ROCm device detected: {torch.cuda.get_device_name(0)}")
print(f"VRAM available: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.2f} GB")
device = torch.device("cuda")
print("Allocating tensors on GPU...")
a = torch.randn((1000, 1000), device=device, dtype=torch.float32)
b = torch.randn((1000, 1000), device=device, dtype=torch.float32)
print("Running matrix multiplication...")
result = torch.matmul(a, b)
torch.cuda.synchronize()
print("✅ PyTorch HIP execution successful!")Results in:
PyTorch detects GPU: True
ROCm device detected: AMD Radeon RX 7600
VRAM available: 7.98 GB
Allocating tensors on GPU...
Traceback (most recent call last):
File "/app/tensor.py", line 10, in <module>
a = torch.randn((1000, 1000), device=device, dtype=torch.float32)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
torch.AcceleratorError: HIP error: invalid device function
Compile with `TORCH_USE_HIP_DSA` to enable device-side assertions.Versions
root@fb554eea83ff:/app# python collect_env.py
Collecting environment information...
PyTorch version: 2.8.0+rocm7.0.0.git64359f59
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 7.0.51831-a3e329ad8
OS: Ubuntu 24.04.3 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version: Could not collect
CMake version: version 3.28.3
Libc version: glibc-2.39
Python version: 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.14.0-33-generic-x86_64-with-glibc2.39
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Radeon RX 7600 (gfx1102)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
Is XPU available: False
HIP runtime version: 7.0.51831
MIOpen runtime version: 3.5.0
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 5 3600 6-Core Processor
CPU family: 23
Model: 113
Thread(s) per core: 2
Core(s) per socket: 6
Socket(s): 1
Stepping: 0
Frequency boost: enabled
CPU(s) scaling MHz: 86%
CPU max MHz: 4208.0000
CPU min MHz: 550.0000
BogoMIPS: 7199.74
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 xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 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 hw_pstate ssbd mba ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sev sev_es
Virtualization: AMD-V
L1d cache: 192 KiB (6 instances)
L1i cache: 192 KiB (6 instances)
L2 cache: 3 MiB (6 instances)
L3 cache: 32 MiB (2 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-11
Vulnerability Gather data sampling: Not affected
Vulnerability Ghostwrite: Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow: Mitigation; Safe RET
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; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.3.3
[pip3] pytorch-triton-rocm==3.4.0+rocm7.0.0.gitf9e5bf54
[pip3] torch==2.8.0+rocm7.0.0.lw.git64359f59
[pip3] torchaudio==2.8.0+rocm7.0.0.git6e1c7fe9
[pip3] torchvision==0.23.0+rocm7.0.0.git824e8c87
[pip3] triton==3.5.0
[conda] Could not collect