"//tensorflow/core/common_runtime/eager:tensor_handle",
        "@dlpack",
    ],
    alwayslink = 1,
)

tf_cuda_cc_test(
    name = "dlpack_test",
    size = "small",
    srcs = [
        "dlpack_test.cc",
    ],
    args = [],
    tags = [],
    deps = [
        ":c_api",
        ":dlpack",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",

functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack
scenario would require a malicious user to be able to control the model which as
stated above is already equivalent to code execution. In any case, the
recommendation is not to serve models using Eager mode since it also has

    "@onednn//:__subpackages__",
    "@org_sqlite//:__subpackages__",
    "@platforms//:__subpackages__",
    "@snappy//:__subpackages__",
    "@upb//:__subpackages__",
    "@zlib//:__subpackages__",
    "@dlpack//:__subpackages__",
    "@arm_neon_2_x86_sse//:__subpackages__",
    "@cpuinfo//:__subpackages__",
    "@ruy//:__subpackages__",
    "@XNNPACK//:__subpackages__",
    "@pthreadpool//:__subpackages__",

`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting
deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The
following Python functions have had their arguments changed to use `axis` when