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Configurable attribute "deps" in @XNNPACK//:prod_microkernels doesn't match this configuration #66000
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@Venkat6871 Any updates? |
Hi @Nayana-ibm , I will replicate the issue and will get back to you regarding this. |
Applied below patch and issue resolved.
Not sure why default condition is not added xnnpack/build.bzl . |
Resolved through google/XNNPACK#6359 |
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Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
source
TensorFlow version
master
Custom code
No
OS platform and distribution
Linux ubuntu 20.04 (s390x)
Mobile device
NA
Python version
3.8.10
Bazel version
6.1.0
GCC/compiler version
9.4.0
CUDA/cuDNN version
TF_NEED_CUDA=0
GPU model and memory
No response
Current behavior?
I am building Tensorflow on s390x platform using command: bazel build --define=tensorflow_mkldnn_contraction_kernel=0 --define tflite_with_xnnpack=false //tensorflow/tools/pip_package:wheel --repo_env=WHEEL_NAME=tensorflow_cpu
Build fails with an error:
Even though setting flag tflite_with_xnnpack=false , build fails. Is there any more flags or changes are required to build Tensorflow successfully? Tried to check the code which populates build_config however didn't get much information.
Standalone code to reproduce the issue
Relevant log output
The text was updated successfully, but these errors were encountered: