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tensorflow/c/experimental/filesystem/BUILD
cc_library( name = "modular_filesystem", srcs = [ "modular_filesystem.cc", "modular_filesystem_registration.cc", ], hdrs = [ "modular_filesystem.h", "modular_filesystem_registration.h", ], # TODO(b/139060984): Visibility should be more restrictive once we # convert to modular filesystems everywhere visibility = ["//visibility:public"],
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tensorflow/c/BUILD
], "//conditions:default": [ ":env", ":logging", ":tf_status", ":tf_tensor", "//tensorflow/c/experimental/filesystem:modular_filesystem", "//tensorflow/cc:grad_ops", "//tensorflow/cc:gradients", "//tensorflow/cc:ops", "//tensorflow/cc:scope_internal", "//tensorflow/cc:while_loop",
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RELEASE.md
selective op registration headers else execution would fail with unregistered kernels error. * Modular File System Migration: * Support for S3 and HDFS file systems has been migrated to a modular file systems based approach and is now available in https://github.com/tensorflow/io. The `tensorflow-io` python package
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
"//tensorflow/c/experimental/filesystem:modular_filesystem", "//tensorflow/core/platform:status", "@com_google_absl//absl/log", ], alwayslink = 1, ) # Library implementing helper functionality, so that the above only contains # the API implementation for modular filesystems. cc_library( name = "posix_filesystem_helper",
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.bazelrc
# For projects which use TensorFlow as part of a Bazel build process, putting # nothing in a bazelrc will default to a monolithic build. The following line # opts in to modular op registration support by default. build --define framework_shared_object=true build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true
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