void (*delete_device)(void* device_info);

  // Implements TFE_CreatePackedTensorHandle when one of `handles` is on this
  // custom device.
  //
  // Many devices will want to simply return an "unimplemented" status
  // here. This is the default behavior if `pack` is null when passed to
  // TFE_RegisterCustomDevice.
  TFE_TensorHandle* (*pack)(TFE_Context* context, TFE_TensorHandle** handles,

		} else {
			r1, r2, scale, ok = p.register(tok.String(), 0)
			if !ok {
				p.errorf("indirect through non-register %s", tok)
			}
			if r2 != 0 {
				p.errorf("unimplemented two-register form")
			}
			a.Index = r1
			if scale != 0 && scale != 1 && (p.arch.Family == sys.ARM64 ||
				p.arch.Family == sys.PPC64) {
				// Support (R1)(R2) (no scaling) and (R1)(R2*1).

  EXPECT_EQ(TF_OUT_OF_RANGE,
            static_cast<TF_Code>(tensorflow::error::OUT_OF_RANGE));
  EXPECT_EQ(TF_UNIMPLEMENTED,
            static_cast<TF_Code>(tensorflow::error::UNIMPLEMENTED));
  EXPECT_EQ(TF_INTERNAL, static_cast<TF_Code>(tensorflow::error::INTERNAL));
  EXPECT_EQ(TF_UNAVAILABLE,
            static_cast<TF_Code>(tensorflow::error::UNAVAILABLE));

    *   (since v2.7) Run `tf.scatter_nd` and other related scatter functions,
        such as `tf.tensor_scatter_nd_update`, on CPU (with significant
        performance penalty).
    *   Add determinism-unimplemented exception-throwing to the following ops.
        When op-determinism is expected (i.e. after
        `tf.config.experimental.enable_op_determinism` has been called), an