"//conditions:default": [],
    }),
    tags = [
        "no_cuda_asan",  # TODO(b/181771536)
        "no_windows",  # TODO(b/155444728)
    ],
    # We must ensure that the dependencies can be dynamically linked since
    # the shared library must be able to use core:framework.
    deps = [
        ":c_api",
        ":c_api_internal",
        ":c_test_util",
        ":test_op_kernel",
        ":tf_buffer",

This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {

#     verbose_logs:     Show all compiler warnings during build.
#     monolithic:       Build all TF C++ code into a single shared object.
#     dynamic_kernels:  Try to link all kernels dynamically (experimental).
#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA

}

// writeCustomErrorResponseJSON - similar to writeErrorResponseJSON,
// but accepts the error message directly (this allows messages to be
// dynamically generated.)
func writeCustomErrorResponseJSON(ctx context.Context, w http.ResponseWriter, err APIError,
	errBody string, reqURL *url.URL,
) {
	reqInfo := logger.GetReqInfo(ctx)
	errorResponse := APIErrorResponse{

    }
  }

  /** Runs a runnable without any permissions. */
  public void runWithoutPermissions(Runnable r) {
    runWithPermissions(r);
  }

  /** A security policy where new permissions can be dynamically added or all cleared. */
  public static class AdjustablePolicy extends Policy {
    Permissions perms = new Permissions();

    AdjustablePolicy(Permission... permissions) {

    List<List<Integer>> input = newArrayList(list1, list2);

    Iterable<Integer> result = Iterables.concat(input);
    assertEquals(asList(1, 4), newArrayList(result));

    // Now change the inputs and see result dynamically change as well

    list1.add(2);
    List<Integer> list3 = newArrayList(3);
    input.add(1, list3);

    assertEquals(asList(1, 2, 3, 4), newArrayList(result));

bool_setting(
    name = "oss_setting",
    build_setting_default = if_oss(True, False),
    visibility = ["//visibility:private"],
)

# Setting to use when loading kernels dynamically
config_setting(
    name = "dynamic_loaded_kernels",
    define_values = {
        "dynamic_loaded_kernels": "true",
        "framework_shared_object": "true",
    },
    visibility = ["//visibility:public"],

- Updated the feature MultiCIDRServiceAllocator to beta (disabled by default). Users need to enable the feature gate and the networking v1beta1 group to be able to use this new feature, that allows to dynamically reconfigure Service CIDR ranges. ([#125021](https://github.com/kubernetes/kubernetes/pull/125021), [@aojea](https://github.com/aojea)) [SIG API Machinery, Apps, CLI, Etcd, Instrumentation, Network and Testing]

        the input layer.

## Bug Fixes and Other Changes

### TF Core:

*   Set `tf2_behavior` to 1 to enable V2 for early loading cases.
*   Add `execute_fn_for_device function` to dynamically choose the
    implementation based on underlying device placement.
*   Eager:
    *   Add `reduce_logsumexp` benchmark with experiment compile.
    *   Give `EagerTensor`s a meaningful `__array__` implementation.

higher-dimensional objects.
With arrays of arrays, the inner arrays are, by construction, always the same length;
however with slices of slices (or arrays of slices), the inner lengths may vary dynamically.
Moreover, the inner slices must be initialized individually.
</p>

<h3 id="Struct_types">Struct types</h3>

<p>
A struct is a sequence of named elements, called fields, each of which has a