#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)
#     rbe_base:                       General RBE options shared by all flavors.
#     rbe_linux:                      General RBE options used on all linux builds.

    size_t proto_len, TF_Status* status);
// `protos` and `proto_lens` must point to arrays of length `num_shapes`.
// `protos[i]` must point to an array of `proto_lens[i]` bytes
// representing a binary-serialized TensorShapeProto.
TF_CAPI_EXPORT extern void TF_SetAttrTensorShapeProtoList(
    TF_OperationDescription* desc, const char* attr_name,
    const void* const* protos, const size_t* proto_lens, int num_shapes,

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

 * similar to those in this class for non-precondition checks.
 *
 * <h3>{@code java.util.Objects.requireNonNull()}</h3>
 *
 * <p>Projects which use {@code com.google.common} should generally avoid the use of {@link
 * java.util.Objects#requireNonNull(Object)}. Instead, use whichever of {@link

changes are numerous but most are cosmetic. Applications should be able to
upgrade from the 2.x API to the 3.x API mechanically and without risk.

Because the release includes breaking API changes, we're changing the project's
package name from `com.squareup.okhttp` to `okhttp3`. This should make it
possible for large applications to migrate incrementally. The Maven group ID