limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.apimachinery.pkg.apis.meta.v1;

import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/apimachinery/pkg/apis/meta/v1";

// `proto` must point to an array of `proto_len` bytes representing a
// binary-serialized TensorShapeProto.
TF_CAPI_EXPORT extern void TF_SetAttrTensorShapeProto(
    TF_OperationDescription* desc, const char* attr_name, const void* proto,
    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

config_setting(
    name = "lite_protos_legacy",
    define_values = {"TENSORFLOW_PROTOS": "lite"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "full_protos",
    define_values = {"TENSORFLOW_PROTOS": "full"},
    visibility = ["//visibility:public"],
)

selects.config_setting_group(
    name = "lite_protos",
    match_any = [":lite_protos_legacy"],

  string bytes1, bytes2;
  tensorflow::TensorShapeProto proto;

  const int64_t pts1[] = {2, 4, -1, 8};
  tensorflow::PartialTensorShape(pts1).AsProto(&proto);
  proto.SerializeToString(&bytes1);

  const int64_t pts2[] = {1, 3, 5, 7};
  tensorflow::PartialTensorShape(pts2).AsProto(&proto);
  proto.SerializeToString(&bytes2);

  std::unique_ptr<const void*[]> list_ptrs;

				{Name: "Asia/India/India-summer-photos-1"},
				{Name: "Asia/India/Karnataka/Bangalore/Koramangala/pics"},
				{Name: "newPrefix0"},
				{Name: "newPrefix1"},
			},
		},
		// ListObjectsResult-2.
		// (TestCase 24).
		2: {
			IsTruncated: true,
			Objects: []ObjectInfo{
				{Name: "Asia-maps.png"},
				{Name: "Asia/India/India-summer-photos-1"},

             {});
}

TEST_F(CApiFunctionTest, ImportFunctionDef_InvalidProto) {
  // Invalid protobuf data (protos cannot start with 4 bytes of zeros)
  char proto[] = {0x0, 0x0, 0x0, 0x0};
  func_ = TF_FunctionImportFunctionDef(proto, 4, s_);
  EXPECT_TRUE(func_ == nullptr);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));

# opts in to modular op registration support by default.
build --define framework_shared_object=true
build --define tsl_protobuf_header_only=true

build --define=use_fast_cpp_protos=true
build --define=allow_oversize_protos=true

build --spawn_strategy=standalone
build -c opt

# Make Bazel print out all options from rc files.
build --announce_rc

github.com/envoyproxy/go-control-plane v0.9.4/go.mod h1:6rpuAdCZL397s3pYoYcLgu1mIlRU8Am5FuJP05cCM98=
github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c=
github.com/fatih/color v1.7.0/go.mod h1:Zm6kSWBoL9eyXnKyktHP6abPY2pDugNf5KwzbycvMj4=

  TFE_TensorHandle* retval[1] = {nullptr};
  int num_retvals = 1;
  TFE_Op* op = TFE_NewOp(ctx, "AddFunction", status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Add a config_proto attr, to trigger grappler graph rewrites in the current
  // eager runtime.
  if (enable_grappler) {
    tensorflow::ConfigProto config;
    // Do not skip grappler optimization even for small graphs.

OCUSIN:"focusin"+Je,FOCUSOUT:"focusout"+Je,MOUSEENTER:"mouseenter"+Je,MOUSELEAVE:"mouseleave"+Je},hn=function(t){function i(){return t.apply(this,arguments)||this}!function(t,e){t.prototype=Object.create(e.prototype),(t.prototype.constructor=t).__proto__=e}(i,t);var e=i.prototype;return e.isWithContent=function(){return this.getTitle()||this._getContent()},e.addAttachmentClass=function(t){g(this.getTipElement()).addClass(tn+"-"+t)},e.getTipElement=function(){return this.tip=this.tip||g(this.conf...