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Build-related tools for TensorFlow

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See this very cryptic error we get when using these containers given that installing tensorflow will give us a keras and keras-nightly installation in the containers: https://github.com/tensorflow/addons/pull/2635#issuecomment-1039647982

sig build dockerfiles

TF2.8 Containers: https://github.com/tensorflow/addons/runs/5204026826?check_suite_focus=true Switching to using latest containers works: https://github.com/tensorflow/addons/runs/5204540189?check_suite_focus=true

sig build dockerfiles

Docker has env. variable LD_LIBRARY_PATH set but the path doesn't exist ``` tf-docker /tf/tensorflow > echo $LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 tf-docker /tf/tensorflow > ls /usr/local/ bin/ cuda-11.1/ etc/ include/ libexec/ sbin/ src/...

sig build dockerfiles

I was able to build tensorflow from source but now I cannot build a golang app that uses TF lib in mac with M1 processor: ``` bazel build --config opt...

# Road Map for Docker Containers This is the same roadmap document that I'm using internally, with the internal bits taken out. I am forcing these containers to get continuous...

sig build dockerfiles

Providing a TensorFlow build cache could be very helpful to external developers, and lower the barrier to entry of contributing to TF. Some ideas for this we've discussed before are:...

Hi there, I raised a question about this on the Discord server, but was advised to come here and ask instead. Are there any instructions/guidelines on how to build a...

While running [go run hello_tf.go](https://github.com/tensorflow/build/tree/master/golang_install_guide#then-run-the-example-program) build command-line-arguments: cannot load github.com/tensorflow/tensorflow/tensorflow/go/stream_executor: module github.com/tensorflow/tensorflow@latest found (v2.6.0+incompatible, replaced by /go/src/github.com/tensorflow/tensorflow), but does not contain package github.com/tensorflow/tensorflow/tensorflow/go/stream_executor

Can we publish a small Wine+Tensorflow docker image in our Dockerhub account? It could really help to make minor local Win debug activities instead of waiting for `Kokoro` label maintainers...