This PR fixes a C compatibility issue in the TfLiteQuantizationType enum definition. The current definition uses C++ syntax (enum : int) which causes compilation errors when included in C projects. This PR adds conditional compilation directives to use C++ syntax only when compiling with C++.

"nvcc --compiler-bindir /path/to/clang" sets __clang__ while compiling CUDA code. This causes gpu_device_functions.h to think it is being compiled with Clang and try to use a Clang-specific function.

pip install --pre --extra-index https://pypi.anaconda.org/scipy-wheels-nightly/simple scikit-learn " this works too if you are on 3.9

https://reviews.llvm.org/D81045 should help here.

BUG: Remove np._get_promotion_state usage #59818

#undef signals

: I try exists(), if that fails with a ValueError, I try to list_blobs();

The Tensorflow team is constantly improving the framework by fixing bugs and adding new features. We suggest you try the latest TensorFlow version with the latest compatible hardware configuration which could potentially resolve the issue. If you are still facing the issue, please create a new GitHub issue with your latest findings, with all the debugging information which could help us investigate.

config["callbacks"] = [*callbacks, mlflow_callback]

tf.app.run is deprecated in TF 2.x, please use TF tf.compat.v1.app.run for TF 2.12.

Hence, this PR removes the system prompt from input example.

Update DetermineArgumentLayoutsFromCompileOptions to not overwrite pa… …

Mark tracing APIs as experimental …

Now the system doesn't need to request the users response

I did it too as well as OPENAI_API_KEY=xxx python code.py, but I don't think it matters. both didn't work

Updated LinearModelCV and derived classes LassoCV, ElasticNetCV, MultiTaskElasticNetCV, MultiTaskLassoCV to remove n_alphas parameter from the constructor. alphas parameter is updated to support an integer or array-like argument. Functionality of n_alphas is preserved by passing an integer to alphas. Parameter_constraints updated accordingly.

Fix C compatibility issue in TfLiteQuantizationType enum #91416

A quick workaround is to apt-get remove protobuf packages and build onnx from https://github.com/cyyever/onnx/tree/protobuf6 . This branch of onnx will download and compile protobuf 6.30.1 as dependency automatically, which matches the python's protobuf .

ploprestiadded a commit that references this issue

copybara-service bot force-pushed the exported_pr_629555340 branch 3 times, most recently from 85c39a2 to 366060c Compare May 7, 2024 01:26 Cleanup DotAttention XNNPACK node. … Loading Loading status checks… 65ce69a PiperOrigin-RevId: 631255498 copybara-service bot force-pushed the exported_pr_629555340 branch from 366060c to 65ce69a Compare

Let's keep the explicit default instead of inferring it from None, which is easier to maintain.