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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
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", ],
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tensorflow/c/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_custom_op_library( name = "test_op1.so", srcs = ["test_op1.cc"], ) tf_kernel_library( name = "test_op_kernel", srcs = ["test_op.cc"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", ], alwayslink = 1, ) tf_cuda_cc_test(
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CONTRIBUTING.md
```bash bazel test ${flags} //tensorflow/python/... ``` For a single component e.g. softmax op: ```bash bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test ``` For a single/parameterized test e.g. `test_capture_variables` in `tensorflow/python/saved_model/load_test.py`: (Requires `python>=3.7`) ```bash
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RELEASE.md
based server to register tf.function methods and a GRPC client to invoke remote registered methods. RPC APIs are intended for multi-client setups i.e. server and clients are started in separate binaries independently. * Example usage to create server: ```python server = tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")
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tensorflow/BUILD
# visibility = ["//visibility:public"], # ) # copybara:uncomment_end # 'enable_registration_v2' opts-in to a different implementation of op and # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc. # # This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. #
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# limitations under the License. # ============================================================================== setup_file() { cd /tf/tensorflow bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then
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tensorflow/c/eager/BUILD
"//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", "@com_google_absl//absl/strings", ], ) tf_cuda_cc_test( name = "c_api_remote_test", size = "medium", srcs = [ "c_api_remote_test.cc", ], # TODO(b/136478427): Figure out how to correctly shut the server down args = ["--heap_check="], tags = [ "no_windows",
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requirements_lock_3_10.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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.bazelrc
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl_threadpool --define=build_with_mkl_opensource=true
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