From 62b8aa87036d4b6165b3daf8d47341755012409f Mon Sep 17 00:00:00 2001 From: Yishuo Wang Date: Tue, 6 Sep 2022 17:09:31 +0800 Subject: [PATCH] fix nano UT (#5650) --- docs/readthedocs/source/doc/Nano/Overview/known_issues.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/docs/readthedocs/source/doc/Nano/Overview/known_issues.md b/docs/readthedocs/source/doc/Nano/Overview/known_issues.md index bdef803913d..d5e30ef11d6 100644 --- a/docs/readthedocs/source/doc/Nano/Overview/known_issues.md +++ b/docs/readthedocs/source/doc/Nano/Overview/known_issues.md @@ -50,4 +50,10 @@ spec: ### **Nano keras multi-instance training currently does not suport tensorflow dataset.from_generators, numpy_function, py_function** -Nano keras multi-instance training will serialize TensorFlow dataset object into a `graph.pb` file, which does not work with `dataset.from_generators`, `dataset.numpy_function`, `dataset.py_function` due to limitations in TensorFlow. \ No newline at end of file +Nano keras multi-instance training will serialize TensorFlow dataset object into a `graph.pb` file, which does not work with `dataset.from_generators`, `dataset.numpy_function`, `dataset.py_function` due to limitations in TensorFlow. + +## **Ray Issues** + +### **protobuf version error** + +Now `pip install ray[default]==1.11.0` will install `google-api-core==2.10.0`, which depends on `protobuf>=3.20.1`. However, nano depends on `protobuf==3.19.4`, so if we install `ray` after installing `bigdl-nano`, pip will reinstall `protobuf==4.21.5`, which causes error.