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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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ci/official/utilities/code_check_changed_files.bats
# limitations under the License. # ============================================================================== setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.:
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tensorflow/c/BUILD
# Description: # C API for TensorFlow, for use by client language bindings. load("@bazel_skylib//lib:selects.bzl", "selects") load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt") load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "check_deps", "if_google", "if_not_mobile", "tf_cc_test", "tf_copts", "tf_cuda_library", "tf_custom_op_library",
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ci/official/README.md
# click to "Invocation Details" and find BUILD_CONFIG, which will contain a # "build_file" item that indicates the script used. ci/official/wheel.sh # Advanced: Select specific build/test targets with "any.sh". # TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh # Afterwards: Examine the results, which will include: The bazel cache,
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tensorflow/BUILD
# Description: # TensorFlow is a computational framework, primarily for use in machine # learning applications. load("@bazel_skylib//lib:selects.bzl", "selects") load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting") load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda") load( "//tensorflow:tensorflow.bzl", "VERSION", "VERSION_MAJOR", "check_deps", "if_google", "if_oss",
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RELEASE.md
(`tf.float16`, `tf.float64`, `tf.complex64`, and `tf.complex128`) has been added for this op. If you were relying on the determinism of the `tf.float64` CPU implementation being automatically selected because of the absence of the `tf.float64` GPU implementation, you with either need to force the op to run on the CPU or use a different data type. * Security
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Column 1 is left only, Column 2 is right only, Column 3 is shared lines # Select lines unique to actual_licenses, i.e. extra licenses. comm -1 -3 $BATS_TEST_TMPDIR/expected_licenses $BATS_TEST_TMPDIR/actual_licenses | grep -v -f $BATS_TEST_TMPDIR/allowed_to_be_extra > $BATS_TEST_TMPDIR/actual_extra_licenses || true # Select lines unique to expected_licenses, i.e. missing licenses
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.bazelrc
# Exclude TFRT integration for anything but Linux. build:android --config=no_tfrt build:macos --config=no_tfrt build:windows --config=no_tfrt build:rocm --config=no_tfrt
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tensorflow/build_cleaner_spec.textproto
# proto-file: devtools/build_cleaner/proto/actions.proto # proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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