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";

                                               int num_shapes);
// `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`.

  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;

        "//tensorflow/lite/toco/logging:conversion_log_util",
        "//tensorflow/lite/toco/logging:toco_conversion_log_proto_cc",
        "//tensorflow/lite/toco:model_flags_proto_cc",
        "//tensorflow/lite/toco:toco_convert",
        "//tensorflow/lite/toco:toco_flags_proto_cc",
        "//tensorflow/lite/toco:toco_graphviz_dump_options",
        "//tensorflow/lite/toco:toco_port",

             {});
}

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_));
  EXPECT_EQ(string("Invalid FunctionDef given to TF_FunctionImportFunctionDef"),

  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...

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...

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel
# will work properly. These are usually run Nightly or upon Release.
# CPU WHEEL

:["ControlSidebar","$","NAME","DATA_KEY","JQUERY_NO_CONFLICT","fn","Event","COLLAPSED","EXPANDED","Selector","ClassName","Default","controlsidebarSlide","scrollbarTheme","scrollbarAutoHide","element","config","this","_element","_config","_init","_proto","prototype","collapse","addClass","removeClass","delay","queue","hide","dequeue","collapsedEvent","trigger","show","expandedEvent","toggle","hasClass","_this","_fixHeight","_fixScrollHeight","window","resize","scroll","heights","document","height...