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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --copt=-Wno-gnu-offsetof-extensions # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014 build --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/python/framework:test_ops_2 //tensorflow/python/framework:test_file_system.so //tensorflow/python/debug:grpc_tensorflow_server.par //tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:tfe_context_internal", "//tensorflow/core:framework", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/common_runtime/eager:context", ], ) cc_library( name = "parallel_device_testlib", testonly = 1, srcs = ["parallel_device_testlib.cc"],
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CODE_OF_CONDUCT.md
The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event. ## Conflict Resolution
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014 build --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain"
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tensorflow/c/experimental/gradients/BUILD
"//tensorflow/c/experimental/ops", "//tensorflow/compiler/mlir/tensorflow/c:mlir_c_api_registration", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/platform:errors", ], ) filegroup( name = "pywrap_required_hdrs", srcs = [ "array_grad.h", "math_grad.h", "nn_grad.h",
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tensorflow/c/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_cc_test( name = "while_loop_test", size = "medium", srcs = ["while_loop_test.cc"], deps = [ ":c_api", ":c_test_util", "//tensorflow/core:lib", "//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_custom_op_library(
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tensorflow/c/experimental/filesystem/BUILD
visibility = ["//visibility:public"], deps = [ "//tensorflow/c:tf_file_statistics", "//tensorflow/c:tf_status", ], ) # Core TensorFlow depends on this, will be included in main library cc_library( name = "modular_filesystem", srcs = [ "modular_filesystem.cc", "modular_filesystem_registration.cc", ], hdrs = [ "modular_filesystem.h",
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tensorflow/c/experimental/grappler/BUILD
":grappler", "//tensorflow/c:c_api_internal", "//tensorflow/c:tf_buffer_internal", "//tensorflow/core:framework", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler/clusters:single_machine", "//tensorflow/core/grappler/costs:graph_properties",
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
deps = [ ":ram_file_block_cache", "//tensorflow/c:tf_status_internal", "//tensorflow/core:lib", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/platform:blocking_counter", "//tensorflow/core/platform/cloud:now_seconds_env", ], ) tf_cc_test( name = "gcs_filesystem_test", srcs = [
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