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ci/official/requirements_updater/BUILD.bazel
compile_pip_requirements_3_9( name = "requirements_3_9", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_10.txt",
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tensorflow/c/c_op_requires.h
// for plugin OpKernel developer's convenience. #define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \ do { \ ::tensorflow::Status _s(__VA_ARGS__); \ if (!TF_PREDICT_TRUE(_s.ok())) { \ ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s); \
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Aug 02 21:35:06 GMT 2022 - 2.3K bytes - Viewed (0) -
ci/official/envs/rbe
EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel # inside the container can authenticate. Note: TF's CI does not have any credential # stored here.
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ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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ci/official/envs/disk_cache
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tensorflow/c/eager/c_api_unified_experimental_test.cc
func_args.push_back(TF_CreateAbstractTensorFromEagerTensor(input_eager, s)); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); } TF_OutputList* func_outputs = TF_NewOutputList(); TF_OutputListSetNumOutputs(func_outputs, 2, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); TF_ExecuteOperation(fn_op, func_args.size(), func_args.data(), func_outputs, s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
ci/official/utilities/code_check_changed_files.bats
| tee $BATS_TEST_TMPDIR/needs_help.txt [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]] } @test "API compatibility test passes, ensuring no unexpected changes to the TF API" { bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test echo "You have to re-generate the TF API goldens and have the API changes reviewed." echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'" }
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tensorflow/c/eager/parallel_device/BUILD
], ) tf_cc_test( name = "parallel_device_remote_test", srcs = ["parallel_device_remote_test.cc"], # TODO(b/136478427): Enable global heap checking when servers shut down # cleanly. args = ["--heap_check="], deps = [ ":parallel_device", ":parallel_device_testlib", "//tensorflow/c:c_api", "//tensorflow/c:c_api_experimental", "//tensorflow/c/eager:c_api",
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ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
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ci/official/envs/versions_upload
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/versions/${_LOUHI_EXECUTION_ID:-$(git rev-parse HEAD)}/"
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