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Build failure with ROCm 5.4.3 - due to missing header inclusion dependencies #2123
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Hi there I encountered the exact same problem building TF2.12on Rocm5.6. I was able to solve the problem by following the instructions on https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/blob/develop-upstream/rocm_docs/tensorflow-build-from-source.md To build with ROCm3.10, set the following environment variables, and add those environment variables at the end of ~/.bashrc export ROCM_PATH=/opt/rocm-4.0.0 |
Are there still people who are waiting for 7900XTX support? Though the performance is still a bit poor, TensorFlow-upstream now runs when built on the latest ROCm release. I was looking into the status of ROCm support for 7900XTX and found a few issues opened by different people and wanted to link all to the issue I opened in MIOpen repo. Though there has not been any confirmation from the developer, I think the performance issues are due to insufficient optimization of MIOpen. |
@bondhugula Has your issue been resolved? If so, please close the ticket. Thanks! |
It's been over a year since this issue was filed. All the associated packages/software have now moved forward significantly. I haven't tried out with recent versions. But if others have reported that the build works fine, please go ahead and close this. |
Hi, this issue will be closed now as I could not reproduce it with the newest release. Please feel free to reopen it or ask follow-up questions should further assistance be required. Thanks! |
Issue Type
Bug
Have you reproduced the bug with TF nightly?
Yes
Source
source
Tensorflow Version
git 49d0ea4
Custom Code
No
OS Platform and Distribution
Linux Ubuntu 22.04
Mobile device
No response
Python version
3.10
Bazel version
6.1.0
GCC/Compiler version
gcc (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0
CUDA/cuDNN version
No response
GPU model and memory
Radeon 7900 XTX
Current Behaviour?
Build failed with errors below.
Standalone code to reproduce the issue
The build fails with the errors pasted above: # ./configure with ROCM enabled and everything else default. $ bazel build tensorflow/tools/pip_package:build_pip_package
ROCM 5.4.3 is installed at /opt/rocm-5.4.3/ and symlinked from /opt/rocm. (Installed via apt on Ubuntu 22.04 from official repos https://repo.radeon.com/rocm/apt/5.4.3 jammy/main amd64 Packages)
I can reproduce the same issue with the latest Tensorflow upstream git version. (514005d Jun 3, 2023).
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