You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Have you reproduced the bug with TensorFlow Nightly?
Yes
Source
source
TensorFlow version
2.11.0
Custom code
Yes
OS platform and distribution
Linux Ubuntu 22.04.4 LTS
Mobile device
No response
Python version
Python 3.9
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
Not applicable (as ROCm is being used)
GPU model and memory
AMD Radeon RX 6700 XT, 12GB VRAM
Current behavior?
TensorFlow is not recognizing the AMD Radeon RX 6700 XT GPU due to unsupported amdgpu version gfx1031, resulting in the GPU being ignored during computations.
Standalone code to reproduce the issue
import tensorflow as tf
print("TensorFlow version:", tf.__version__)
print("Is built with ROCm:", tf.test.is_built_with_rocm())
print("GPUs available:", tf.config.list_physical_devices('GPU'))
Relevant log output
TensorFlow version: 2.11.0
Is built with ROCm: True
GPUs available: []
The text was updated successfully, but these errors were encountered:
After checking other supported versions, I found that the support list includes gfx900, gfx906, gfx908, gfx90a, gfx940, gfx941, gfx942, gfx1030, and gfx1100. However, my GPU has gfx1031, and it seems there is no official version that supports it. Is this a bug, or am I mistaken about the support status for my GPU?
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
Yes
Source
source
TensorFlow version
2.11.0
Custom code
Yes
OS platform and distribution
Linux Ubuntu 22.04.4 LTS
Mobile device
No response
Python version
Python 3.9
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
Not applicable (as ROCm is being used)
GPU model and memory
AMD Radeon RX 6700 XT, 12GB VRAM
Current behavior?
TensorFlow is not recognizing the AMD Radeon RX 6700 XT GPU due to unsupported amdgpu version gfx1031, resulting in the GPU being ignored during computations.
Standalone code to reproduce the issue
Relevant log output
The text was updated successfully, but these errors were encountered: