TensorFlower Gardener <******@****.***> 1695063637 -0700

    default_visibility = ["//visibility:private"],
    licenses = ["notice"],
)

# Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc.
tf_cc_shared_object(
    name = "libposix_filesystem.so",
    framework_so = [],
    linkstatic = False,
    visibility = ["//visibility:public"],
    deps = [":posix_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(

  do_external_licenses_check \
    "//tensorflow:libtensorflow.so" \
    "//tensorflow/tools/lib_package:clicenses_generate"
}

@test "Java library generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow/java:libtensorflow_jni.so" \
    "//tensorflow/tools/lib_package:jnilicenses_generate"
}

  // Marks the following gradient as a result so it's not consumed by backward
  // functions.
  virtual void MarkAsResult(Gradient* gradient) const = 0;

  // Deletes the input tensor.
  virtual void DeleteGradient(Gradient* gradient) const = 0;
};

// Traces the execution of operations, doing eager garbage collection, and
// exporting a full trace so other code can do backpropagation. Not thread-safe.

                              static_cast<off_t>(offset))};
    if (r > 0) {
      dst += r;
      offset += static_cast<uint64_t>(r);
      n -= r;  // safe as 0 < r <= n so n will never underflow
      read += r;
    } else if (r == 0) {
      TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested");
      break;
    } else if (errno == EINTR || errno == EAGAIN) {

# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  export CLOUDSDK_PYTHON=$(which python3.11)

# Note that the installation path for libstdc++ here is ${TARGET}/usr/lib64/
mv "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}" \
   "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}.backup"
echo -e "OUTPUT_FORMAT(elf64-littleaarch64)\nINPUT ( libstdc++.so.6.0.18 -lstdc++_nonshared44 )" \
   > "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}"
cp "./aarch64-unknown-linux-gnu/libstdc++-v3/src/.libs/libstdc++_nonshared44.a" \

// needs to be statically registered in some tests and utilities for building
// the API files at the time of creating the pip package. Hence, we need to
// expose this function so that this filesystem can be statically registered
// when needed.
void TF_InitPlugin(TF_FilesystemPluginInfo* info);

# limitations under the License.
# ==============================================================================
#
# Usage: rename_and_verify_wheels.sh
# This script is aware of TFCI_ variables, so it doesn't need any arguments.
# Puts new wheel through auditwheel to rename and verify it, deletes the old
# one, checks the filesize, and then ensures the new wheel is installable.
set -euxo pipefail

cd "$TFCI_OUTPUT_DIR"

  gpu_options->set_allow_growth(gpu_memory_allow_growth);

  (*config.mutable_device_count())["CPU"] = num_cpu_devices;

  // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the