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ISSUES.md
the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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ci/official/README.md
# variables in between script executions. To forcibly remove the # container and start fresh, run "docker rm -f tf". Removing the container # destroys some temporary bazel data and causes longer builds. # # You will need the NVIDIA Container Toolkit for GPU testing: # https://github.com/NVIDIA/nvidia-container-toolkit # # Note: if you interrupt a bazel command on docker (ctrl-c), you
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CONTRIBUTING.md
for the required packages. Alternatively, use the said [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no longer supported for) development. Use TF SIG Build Dockerfiles in development to avoid installing the packages directly on your system (in which case remember to change the directory from `/root` to `/tensorflow`
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RELEASE.md
`DynamicLossScale` will no longer affect the weights of the LossScaleOptimizer, and vice versa. * The global policy can no longer be set to a non-floating point policy in `tf.keras.mixed_precision.experimental.set_policy` * In `Layer.call`, `AutoCastVariable`s will no longer be casted within
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.bazelrc
# TODO(mihaimaruseac): Document this option or remove if no longer needed build --enable_platform_specific_config # Enable XLA support by default. build --define=with_xla_support=true # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=short_logs # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=v2 # Disable AWS/HDFS support by default
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