hdrs = ["filesystem_interface.h"],
    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 = [

# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on
# cuda_platform from tf_additional_binary_deps and this doesn't break.
check_deps(
    name = "cuda_plugins_check_deps",
    disallowed_deps = if_static(
        [],
        otherwise = [

*   Improved DirectSession::Run() overhead and error checking. Feeding a value
    of the wrong type will now synchronously raise an INVALID_ARGUMENT error
    instead of asynchronously raising an INTERNAL error. Code that depends on
    the (undefined) behavior when feeding a tensor of the wrong type may need to
    be updated.
*   Added unreduced NONE, and reduced MEAN options for losses. Removed

build:rbe_cross_compile_base --config=rbe_base
build:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# XLA depends on some local Python headers that are configured as Genrule. They
# are present on the local host machine but not on the remote execution machine,
# leading to build failures. To resolve the issue, the following line is added