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Update mypy-protobuf (#10914)
Co-authored-by: Avasam <samuel.06@hotmail.com> Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
This commit is contained in:
@@ -13,7 +13,7 @@ set -ex -o pipefail
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# Update these two variables when rerunning script
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PROTOBUF_VERSION=21.8
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PYTHON_PROTOBUF_VERSION=4.21.8
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MYPY_PROTOBUF_VERSION=v3.4.0
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MYPY_PROTOBUF_VERSION=3.5.0
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if uname -a | grep Darwin; then
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# brew install coreutils wget
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@@ -48,7 +48,7 @@ source "$VENV/bin/activate"
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pip install -r "$REPO_ROOT/requirements-tests.txt" # for Black and isort
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# Install mypy-protobuf
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pip install "git+https://github.com/dropbox/mypy-protobuf@$MYPY_PROTOBUF_VERSION"
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pip install mypy-protobuf=="$MYPY_PROTOBUF_VERSION"
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# Remove existing pyi
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find "$REPO_ROOT/stubs/protobuf/" -name '*_pb2.pyi' -delete
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@@ -76,5 +76,6 @@ protoc_install/bin/protoc --proto_path="$PYTHON_PROTOBUF_DIR/src" --mypy_out="re
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isort "$REPO_ROOT/stubs/protobuf"
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black "$REPO_ROOT/stubs/protobuf"
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sed -i "" "s/mypy-protobuf [^\"]*/mypy-protobuf ${MYPY_PROTOBUF_VERSION}/" "$REPO_ROOT/stubs/protobuf/METADATA.toml"
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sed -i "" "s/version = .*$/version = \"$(echo ${PYTHON_PROTOBUF_VERSION} | cut -d. -f1-2)\.\*\"/" "$REPO_ROOT/stubs/protobuf/METADATA.toml"
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sed --in-place="" \
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"s/extra_description = .*$/extra_description = \"Generated using [mypy-protobuf==$MYPY_PROTOBUF_VERSION](https:\/\/github.com\/nipunn1313\/mypy-protobuf\/tree\/v$MYPY_PROTOBUF_VERSION) on protobuf==$PYTHON_PROTOBUF_VERSION\"/" \
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"$REPO_ROOT/stubs/protobuf/METADATA.toml"
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@@ -3,54 +3,52 @@ set -euxo pipefail
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# Partly based on scripts/generate_proto_stubs.sh.
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# Generates the protobuf stubs for the given tensorflow version using
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# mypy-protobuf. Should be run like ./sync_tensorflow_protobuf_stubs.sh
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# Generates the protobuf stubs for the given tensorflow version using mypy-protobuf.
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# Generally, new minor versions are a good time to update the stubs.
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cd "$(dirname "$0")" > /dev/null
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cd ../stubs/tensorflow
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REPO_ROOT="$(realpath "$(dirname "${BASH_SOURCE[0]}")"/..)"
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# This version should be consistent with the version in tensorflow's METADATA.toml.
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TENSORFLOW_VERSION=2.11.0
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TENSORFLOW_VERSION=2.12.1
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# Latest mypy-protobuf has dependency on protobuf >4, which is incompatible at runtime
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# with tensorflow. However, the stubs produced do still work with tensorflow. So after
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# installing mypy-protobuf, before running stubtest on tensorflow you should downgrade
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# protobuf<4.
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MYPY_PROTOBUF_VERSION=3.4.0
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MYPY_PROTOBUF_VERSION=3.5.0
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pip install mypy-protobuf=="$MYPY_PROTOBUF_VERSION"
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mkdir repository
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cd "$(dirname "$0")" > /dev/null
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cd ../stubs/tensorflow
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mkdir -p repository
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pushd repository &> /dev/null
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git clone https://github.com/tensorflow/tensorflow.git
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# If the script fails halfway, it's nice to be able to re-run it immediately
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if [ ! -d "tensorflow" ] ; then
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git clone --depth 1 --branch v"$TENSORFLOW_VERSION" https://github.com/tensorflow/tensorflow.git
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fi
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pushd tensorflow &> /dev/null
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git checkout v"$TENSORFLOW_VERSION"
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# Folders here cover the more commonly used protobufs externally and
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# their dependencies. Tensorflow has more protobufs and can be added if requested.
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protoc --mypy_out "relax_strict_optional_primitives:$REPO_ROOT/stubs/tensorflow" \
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tensorflow/compiler/xla/*.proto \
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tensorflow/compiler/xla/service/*.proto \
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tensorflow/core/example/*.proto \
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tensorflow/core/framework/*.proto \
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tensorflow/core/protobuf/*.proto \
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tensorflow/core/protobuf/tpu/*.proto \
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tensorflow/core/framework/*.proto \
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tensorflow/core/util/*.proto \
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tensorflow/core/example/*.proto \
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tensorflow/python/keras/protobuf/*.proto \
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tensorflow/tsl/protobuf/*.proto \
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tensorflow/compiler/xla/*.proto \
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tensorflow/compiler/xla/service/*.proto
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tensorflow/tsl/protobuf/*.proto
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popd &> /dev/null
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popd &> /dev/null
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rm -rf repository/
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# These protos exist in a folder with protos used in python, but are not
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# included in the python wheel. They are likely only used for other
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# language builds. stubtest was used to identify them by looking for
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# ModuleNotFoundError.
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rm tensorflow/core/protobuf/coordination_service_pb2.pyi \
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tensorflow/compiler/xla/service/hlo_execution_profile_data_pb2.pyi \
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rm tensorflow/compiler/xla/service/hlo_execution_profile_data_pb2.pyi \
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tensorflow/compiler/xla/service/hlo_profile_printer_data_pb2.pyi \
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tensorflow/compiler/xla/service/test_compilation_environment_pb2.pyi \
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tensorflow/compiler/xla/xla_pb2.pyi \
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tensorflow/core/protobuf/autotuning_pb2.pyi \
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tensorflow/core/protobuf/conv_autotuning_pb2.pyi \
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tensorflow/core/protobuf/critical_section_pb2.pyi \
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@@ -58,8 +56,17 @@ rm tensorflow/core/protobuf/coordination_service_pb2.pyi \
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tensorflow/core/protobuf/master_pb2.pyi \
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tensorflow/core/protobuf/master_service_pb2.pyi \
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tensorflow/core/protobuf/replay_log_pb2.pyi \
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tensorflow/core/protobuf/tpu/compile_metadata_pb2.pyi \
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tensorflow/core/protobuf/worker_pb2.pyi \
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tensorflow/core/protobuf/worker_service_pb2.pyi \
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tensorflow/core/protobuf/tpu/compile_metadata_pb2.pyi \
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tensorflow/core/util/example_proto_fast_parsing_test_pb2.pyi \
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tensorflow/compiler/xla/xla_pb2.pyi
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tensorflow/core/util/example_proto_fast_parsing_test_pb2.pyi
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isort "$REPO_ROOT/stubs/tensorflow/tensorflow"
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black "$REPO_ROOT/stubs/tensorflow/tensorflow"
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sed --in-place="" \
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"s/extra_description = .*$/extra_description = \"Partially generated using [mypy-protobuf==$MYPY_PROTOBUF_VERSION](https:\/\/github.com\/nipunn1313\/mypy-protobuf\/tree\/v$MYPY_PROTOBUF_VERSION) on tensorflow==$TENSORFLOW_VERSION\"/" \
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"$REPO_ROOT/stubs/tensorflow/METADATA.toml"
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# Cleanup last. If the script fails halfway, it's nice to be able to re-run it immediately
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rm -rf repository/
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