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Description
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
source
TensorFlow version
2.14
Custom code
Yes
OS platform and distribution
Linux Pardus 25.0
Mobile device
No response
Python version
3.11
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
No response
GPU model and memory
No response
Current behavior?
Hello everyone. I'm new in AI field. I have AMD RX7600 GPU so I can't use normal Tensorflow lib for my gpu. As a result, I installed Lİnux and I'm using tensorflow-rocm lib right now. But I have a problem about my GPU. When I asked to python that what's my gpu can you see it says not and tf-rocm returns a code that "The supported AMDGPU versions are gfx1030gfx1100, gfx900, gfx906, gfx908, gfx90a, gfx940, gfx941, gfx942.
". Unfortunately, my gfx version is gfx1102. So I couldn't use it. That's my output:
Thanks
Standalone code to reproduce the issue
>>> import tensorflow as tf
2025-12-21 14:45:38.971242: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
>>> print("GPU: ", tf.config.list_physical_devices('GPU'))
2025-12-21 14:45:42.886742: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:756] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2025-12-21 14:45:43.404337: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:756] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2025-12-21 14:45:43.404414: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:756] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2025-12-21 14:45:43.404434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2266] Ignoring visible gpu device (device: 0, name: AMD Radeon™ RX 7600S, pci bus id: 0000:03:00.0) with AMDGPU version : gfx1102. The supported AMDGPU versions are gfx1030gfx1100, gfx900, gfx906, gfx908, gfx90a, gfx940, gfx941, gfx942.
GPU: []
>>>Relevant log output
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