How do you fix "ROCm: HIP error: invalid device function"?

**1. Identify your gfx target:** ```bash rocminfo | grep gfx # or rocm-smi --showproductname ``` **2. For PyTorch:** override with HSA_OVERRIDE_GFX_VERSION to the closest officially-supported target. Common case: RX 6700/6800 (gfx1031/1032) needs to pretend it's gfx1030: ```bash export HSA_OVERRIDE_GFX_VERSION=10.3.0 python your_script.py ``` **3. For llama.cpp:** rebuild with your gfx explicitly: ```bash make GGML_HIPBLAS=1 \ AMDGPU_TARGETS=gfx1100 \ HIPCXX=/opt/rocm/llvm/bin/clang++ -j ``` **4. Use the official AMD PyTorch wheels** matching your ROCm version: ```bash pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2 ``` **5. RDNA3 (RX 7000) specific:** ROCm 6.0+ supports gfx1100 natively — older 5.x toolchains do not. Update if you're on an older release.

ROCm / AMD

ROCm: HIP error: invalid device function

HIP error: invalid device function

By Fredoline Eruo · Last verified May 8, 2026

Cause

The HIP kernel was compiled for a different GPU architecture than the one you're running on. Each AMD GPU has a gfx target (gfx1100 = RX 7900 XTX, gfx1030 = RX 6900 XT, gfx906 = MI50, etc.). PyTorch ROCm wheels and llama.cpp ROCm builds embed kernels for a specific subset of targets; if your GPU's gfx isn't in the list, every kernel launch fails this way.

Solution

1. Identify your gfx target:

rocminfo | grep gfx
# or
rocm-smi --showproductname

2. For PyTorch: override with HSA_OVERRIDE_GFX_VERSION to the closest officially-supported target. Common case: RX 6700/6800 (gfx1031/1032) needs to pretend it's gfx1030:

export HSA_OVERRIDE_GFX_VERSION=10.3.0
python your_script.py

3. For llama.cpp: rebuild with your gfx explicitly:

make GGML_HIPBLAS=1 \
  AMDGPU_TARGETS=gfx1100 \
  HIPCXX=/opt/rocm/llvm/bin/clang++ -j

4. Use the official AMD PyTorch wheels matching your ROCm version:

pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2

5. RDNA3 (RX 7000) specific: ROCm 6.0+ supports gfx1100 natively — older 5.x toolchains do not. Update if you're on an older release.

Related errors

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