# For more information about the format and semantics of this file, see:

# https://docs.bazel.build/versions/master/bazel-user-manual.html#bazelrc

#

# Test inherits all of the rules of build, so we need only specify many of

# our configuration options for build and they will also apply to test.

# We need the same basic configuration defined by tensorflow, plus

# the local configuration.  (Our WORKSPACE file assumes tensorflow is

# installed in a specific location, and there doesn't seem to be a

# way to refer to it symbolically, like BUILD files can.)

import %workspace%/../tensorflow/.bazelrc

import %workspace%/../tensorflow/.tf_configure.bazelrc

# Use 128 jobs to build. Unfortunately there doesn't seem to be any way to set

# the number of jobs to the number of actual cores on the machine (e.g., by

# looking at cpuinfo. See https://github.com/bazelbuild/bazel/issues/3814.

build --jobs 128

# We have to use the monolithic build configuration of TF. See internal.

build --config=monolithic

# A timestamp is added to each message generated by Bazel specifying the time at

# which the message was displayed.

build --show_timestamps

# Print additional information when there's a failure.

build --verbose_failures

# Use CPP protos for python, not the reflection ones.

build --define=use_fast_cpp_protos=true

# Turn off meddlesome mostly false positive warnings. Unfortunately these only

# affect the Nucleus build itself, not our deps, which is where most of the

# problems are coming from.

#

# These are largely errors due to protobuf.size(). We want to see them in our

# own build.

# build --copt="-Wno-sign-compare"

# These are essentially all false positives from our CLIF bindings, we disable

# them in our own build.

build --copt="-Wno-maybe-uninitialized"

build --copt="-Wno-unused-function"

# Set c++ version.

build --cxxopt="-std=c++17"

# These are errors coming from the protobuf library itself. We'd like to see

# them in our own build.

# build --copt="-Wno-write-strings"

# Errors sends combined stdout/stderr output from failed tests only into the

# stdout immediately after test is completed, ensuring that test output from

# simultaneous tests is not interleaved with each other. Prints a summary at the

# build as per summary output above.

test --test_output=errors

# Until https://github.com/bazelbuild/bazel/issues/4815 is fixed, we need

# to force the use of our py_runtime.

# Versions of bazel used by TensorFlow 2.1+ disable the use of --python_top by

# default with the below error message, necessitating the additional flag.

#  "ERROR: `--python_top` is disabled by `--incompatible_use_python_toolchains`.

#    Instead of configuring the Python runtime directly, register a Python

#    toolchain. See https://github.com/bazelbuild/bazel/issues/7899. You can

#    temporarily revert to the legacy flag-based way of specifying toolchains by

#    setting `--incompatible_use_python_toolchains=false`."

build --python_top=//:deepvariant_python_runtime --incompatible_use_python_toolchains=false