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No kernel identified while running tensorflow with GPU #67768
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@vaibhavAIJKV GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin. |
Hi |
@vaibhavAIJKV Sure, kindly let us know? |
This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. |
This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. |
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
source
TensorFlow version
2.13.0
Custom code
Yes
OS platform and distribution
Windows 10
Mobile device
No response
Python version
3.8.8
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
cuda_12.4.r12.4/compiler.34097967_0
GPU model and memory
Nvidia Geforce MX450
Current behavior?
I am using windows 10 and using tensorflow with GPU using tensorflow-directml-plugin API. While running the code I am getting the following error:
It's a simple model with configuration something like:
Standalone code to reproduce the issue
Relevant log output
No response
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