#     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
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.

        }
        throw new ClassCastException();
    }

    /**
     *
     * @param tf
     * @return a session for the context
     */
    @Override
    public SmbSessionImpl getSmbSession(final CIFSContext tf) {
        return getSmbSession(tf, null, null);
    }

    /**
     *
     * @param tf
     *            context to use
     * @return a session for the context
     */
    @Override

    SmbSessionImpl(CIFSContext tf, String targetHost, String targetDomain, SmbTransportImpl transport) {
        this.transportContext = tf;
        this.targetDomain = targetDomain;
        this.targetHost = targetHost;
        this.transport = transport.acquire();
        this.trees = new CopyOnWriteArrayList<>();
        this.credentials = tf.getCredentials().unwrap(CredentialsInternal.class).clone();

)

# DO NOT ADD ANY NEW EXCEPTIONS TO THIS LIST!
# Instead, please use public APIs or public build rules TF provides.
# If you need functionality that is not exposed, we will work with you to expand our public APIs.
# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",

			return
		}
	} else {
		path := filepath.Join("testdata", zt.Name)
		if zt.Obscured {
			tf, err := obscuretestdata.DecodeToTempFile(path)
			if err != nil {
				t.Errorf("obscuretestdata.DecodeToTempFile(%s): %v", path, err)
				return
			}
			defer os.Remove(tf)
			path = tf
		}
		var rc *ReadCloser
		rc, err = OpenReader(path)
		if err == nil {
			defer rc.Close()
			z = &rc.Reader

// This method is used to add a new input edge to 'dst', which must be a While
// op. The While op's "T" attribute must have already been updated to include
// the new edge. This is used to construct tf.while_loop gradients.
TF_CAPI_EXPORT extern void TF_AddWhileInputHack(TF_Graph* graph,
                                                TF_Output new_src,
                                                TF_Operation* dst,

                              &Deallocator, &deallocator_called);

  TF_Tensor* o = TF_TensorMaybeMove(t);
  ASSERT_TRUE(o == nullptr);  // It is unsafe to move memory TF might not own.
  TF_DeleteTensor(t);
  EXPECT_TRUE(deallocator_called);
}

TEST(CAPI, LibraryLoadFunctions) {
  // TODO(b/73318067): Fix linking for the GPU test generated by the

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