"//tensorflow/core:test_main",
        "@com_google_absl//absl/strings",
    ],
)

cc_library(
    name = "custom_device_testutil",
    testonly = True,
    srcs = ["custom_device_testutil.cc"],
    hdrs = ["custom_device_testutil.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        ":c_api",
        ":c_api_experimental",
        ":c_api_test_util",

# Build a shared library (DLL) by cc_binary from tf_custom_op_library_additional_deps_impl,
# it contains all object code from its dependencies.
# This target is only used for parsing the symbols to be exported in tensorflow.dll.
# Do NOT depend on it.
tf_native_cc_binary(
    name = "tf_custom_op_library_additional_deps.dll",
    linkshared = 1,
    linkstatic = 1,
    deps = tf_custom_op_library_additional_deps_impl(),
)

*   `tf.saved_model`:

    *   SavedModels can now save custom gradients. Use the option
        `tf.saved_model.SaveOption(experimental_custom_gradients=True)` to
        enable this feature. The documentation in
        [Advanced autodiff](https://www.tensorflow.org/guide/advanced_autodiff#custom_gradients)
        has been updated.

        ":not_differentiable",
        "//tensorflow/c/eager:abstract_context",
        "//tensorflow/c/eager:gradients_internal",
    ],
)

tf_cuda_cc_test(
    name = "custom_gradient_test",
    size = "small",
    srcs = [
        "custom_gradient_test.cc",
    ],
    args = ["--heap_check="],  # TODO(b/174752220): Remove
    tags = tf_cuda_tests_tags(),
    deps = [
        "//tensorflow/c:tf_status_helper",

load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library")
load(
    "//tensorflow:tensorflow.bzl",
    "check_deps",
    "if_google",
    "if_not_mobile",
    "tf_cc_test",
    "tf_copts",
    "tf_cuda_library",
    "tf_custom_op_library",
    "tf_kernel_library",
)
load("//tensorflow:tensorflow.default.bzl", "filegroup", "tf_cuda_cc_test")
load(
    "//tensorflow/core/tpu:build_defs.bzl",
    "if_libtpu_tf_status",
)

package(

[Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)

Use `pylint` to check your Python changes. To install `pylint` and check a file
with `pylint` against TensorFlow's custom style definition:

```bash
pip install pylint
pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py
```

Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the