Install tf2onnx dev version (#19755)

* pin tf2onnx<=1.12.0

* Install tf2onnx main

* Pin to a specific commit
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

docker/transformers-all-latest-gpu/Dockerfile

@@ -36,6 +36,11 @@ RUN python3 -m pip install --no-cache-dir -U tensorflow
 RUN python3 -m pip install --no-cache-dir -U tensorflow_probability
 RUN python3 -m pip uninstall -y flax jax
 
+# To include the change in this commit https://github.com/onnx/tensorflow-onnx/commit/ddca3a5eb2d912f20fe7e0568dd1a3013aee9fa3
+# Otherwise, we get tf2onnx==1.8 (caused by `flatbuffers` version),  and some tests fail with `ValueError: from_keras requires input_signature`.
+# TODO: remove this line once the conflict is resolved in these libraries.
+RUN python3 -m pip install --no-cache-dir git+https://github.com/onnx/tensorflow-onnx.git@ddca3a5eb2d912f20fe7e0568dd1a3013aee9fa3
+
 # Use installed torch version for `torch-scatter` to avid to deal with PYTORCH='pre'.
 # If torch is nightly version, the link is likely to be invalid, but the installation falls back to the latest torch-scatter
 RUN python3 -m pip install --no-cache-dir torch-scatter -f https://data.pyg.org/whl/torch-$(python3 -c "from torch import version; print(version.__version__.split('+')[0])")+$CUDA.html