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ci/official/utilities/code_check_changed_files.bats
git diff --diff-filter ACMRT --name-only origin/master > $BATS_FILE_TMPDIR/changed_files fi } # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check buildifier formatting on BUILD files" { echo "buildifier formatting is recommended. Here are the suggested fixes:" echo "============================="
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ci/official/envs/rbe
TFCI: $TFCI TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX is "$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX". But in .bazelrc, there is no "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX". That setting must exist for this script to function correctly. EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX"
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ci/official/bisect.sh
# limitations under the License. # ============================================================================== # Run any CI script and env configuration to bisect a failing target in some # build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job)
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/utilities/get_versions.sh
# Variables containing version strings extracted from the canonical sources: # tensorflow/core/public/version.h and tools/pip_package/setup.py. # # These variables aren't available by default. Scripts must source this file # explicitly, *after* checking if update_version.py needs to be run for a # nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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tensorflow/c/eager/parallel_device/BUILD
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup(
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ci/official/README.md
# it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove # disk_cache, public_cache, and public_cache_push from your $TFCI file. # # To use RBE, you must first run `gcloud auth application-default login`, then: export TFCI=py311,linux_x86,rbe # Finally: Run your script of choice.
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tensorflow/c/BUILD
"//conditions:default": [], }), tags = [ "no_cuda_asan", # TODO(b/181771536) "no_windows", # TODO(b/155444728) ], # We must ensure that the dependencies can be dynamically linked since # the shared library must be able to use core:framework. deps = [ ":c_api", ":c_api_internal", ":c_test_util", ":test_op_kernel", ":tf_buffer",
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tensorflow/c/eager/c_api_experimental.h
// There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise
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tensorflow/c/eager/c_api_unified_experimental.cc
TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func)); if (!tracing_ctx) { tsl::Set_TF_Status_from_Status( s, tensorflow::errors::InvalidArgument( "TF_AddFunctionParameter must be called on a TracingContext.")); return nullptr; } tensorflow::PartialTensorShape partial_shape; if (shape.num_dims != -1) { DCHECK(shape.dim_sizes != nullptr);
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