<li><a href="http://sponge/target:$KOKORO_JOB_NAME">Sponge - recent jobs</a></li>
<li><a href="http://fusion2/ci/kokoro/prod:$(echo "$KOKORO_JOB_NAME" | sed 's!/!%2F!g')">Test Fusion - recent jobs</a></li>
<li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li>

  // Initializes context for the local worker and no contexts will be created
  // for remote workers. Currently this only works for resetting context.
  // TODO(b/289445025): Consider removing this when we find a proper fix.
  virtual Status InitializeLocalOnlyContext(const ServerDef& server_def,
                                            int keep_alive_secs) = 0;

  // Set up a multi-client distributed execution environment. Must be called

# Experimental filesystem C APIs for TensorFlow.
# Will be moved in proper place once all filesystems are converted to the
# modular framework.
load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# This is only for plugins
cc_library(
    name = "filesystem_interface",

//     plugin or core implementation:
//     * Struct that should be filled by the plugin: `TP_OptimizerConfigs`,
//       `TP_Optimizer`, `TP_OptimizerRegistrationParams`
//     * Struct that should be filled by the proper: `TF_GrapplerItem`,
//       `TF_GraphProperties`, `TF_FunctionLibraryDefinition`
//   * We use `struct_size` for version checking. It should be set both by
//     core and the plugin.

for f in $(ls | grep python); do
  # set up symlink for devtoolset-10
  rm -f /dt10/usr/include/aarch64-linux-gnu/$f
  ln -s /usr/include/aarch64-linux-gnu/$f /dt10/usr/include/aarch64-linux-gnu/$f
done
popd

# Python 3.10 include headers fix:
# sysconfig.get_path('include') incorrectly points to /usr/local/include/python
# map /usr/include/python3.10 to /usr/local/include/python3.10

/// pointed to by the `void*` members is always owned by the plugin. The plugin
/// will provide functions to call to allocate and deallocate this data (see
/// next sections) and core TensorFlow ensures to call these at the proper time.
///
/// Plugins will never receive a `TF_*` pointer that is `nullptr`. Core
/// TensorFlow will never touch the `void*` wrapped by these structures, except
/// to initialize it as `nullptr`.

        including complex types (if supported): `tf.math.segment_prod`,
        `tf.math.segment_sum`, `tf.math.unsorted_segment_mean`,
        `tf.math.unsorted_segment_sqrt_n`, `tf.math.unsorted_segment_prod`,
        `tf.math.unsorted_segment_sum`, and therefore also
        `tf.convert_to_tensor` when `value` is of type `tf.IndexedSlices` (such
        as in the back prop though `tf.gather` into a dense embedding). See

  jar -xf "${tmp_dir}/orig.jar" src/
  # Extract any org/ files under src/main/java
  (mkdir -p src/main/java && cd src/main/java && jar -xf "${tmp_dir}/orig.jar" org/)
  # Repackage src/
  jar -cMf "${tmp_dir}/new.jar" src
  popd
  cp "${tmp_dir}/new.jar" "${dest_jar}"
  rm -rf "${tmp_dir}"
}
DIR=$1
TARBALL_SUFFIX=$2
mkdir -p "$DIR"
cp bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz "${DIR}/libtensorflow${TARBALL_SUFFIX}.tar.gz"

build:android --define=with_xla_support=false
build:ios     --define=with_xla_support=false

# BEGIN TF REMOTE BUILD EXECUTION OPTIONS
# Options when using remote execution
# WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS

# Allow creation of resultstore URLs for any bazel invocation
build:resultstore --google_default_credentials
build:resultstore --bes_backend=buildeventservice.googleapis.com

      EXPECT_EQ(DT_FLOAT, in_props.dtype());
      EXPECT_FALSE(in_props.shape().unknown_rank());
      EXPECT_EQ(2, in_props.shape().dim_size());
      EXPECT_EQ(10, in_props.shape().dim(0).size());
      EXPECT_EQ(1, in_props.shape().dim(1).size());

      for (int i = 0; i < in_props_buf.size(); i++)
        TF_DeleteBuffer(in_props_buf[i]);
    }
  }
  TF_DeleteGraphProperties(graph_properties);
  TF_DeleteStatus(status);