.fa-grimace:before{content:"\f57f"}.fa-grin:before{content:"\f580"}.fa-grin-alt:before{content:"\f581"}.fa-grin-beam:before{content:"\f582"}.fa-grin-beam-sweat:before{content:"\f583"}.fa-grin-hearts:before{content:"\f584"}.fa-grin-squint:before{content:"\f585"}.fa-grin-squint-tears:before{content:"\f586"}.fa-grin-stars:before{content:"\f587"}.fa-grin-tears:before{content:"\f588"}.fa-grin-tongue:before{content:"\f589"}.fa-grin-tongue-squint:before{content:"\f58a"}.fa-grin-tongue-wink:before{conte...

// Adds a copy of function `func` and optionally its gradient function `grad`
// to `g`. Once `func`/`grad` is added to `g`, it can be called by creating
// an operation using the function's name.
// Any changes to `func`/`grad` (including deleting it) done after this method
// returns, won't affect the copy of `func`/`grad` in `g`.
// If `func` or `grad` are already in `g`, TF_GraphCopyFunction has no

.fa-grimace:before{content:"\f57f"}.fa-grin:before{content:"\f580"}.fa-grin-alt:before{content:"\f581"}.fa-grin-beam:before{content:"\f582"}.fa-grin-beam-sweat:before{content:"\f583"}.fa-grin-hearts:before{content:"\f584"}.fa-grin-squint:before{content:"\f585"}.fa-grin-squint-tears:before{content:"\f586"}.fa-grin-stars:before{content:"\f587"}.fa-grin-tears:before{content:"\f588"}.fa-grin-tongue:before{content:"\f589"}.fa-grin-tongue-squint:before{content:"\f58a"}.fa-grin-tongue-wink:before{conte...

  // Define the function and its grad
  DefineFunction(func_name_, &func_);
  TF_Function* grad_func;
  DefineFunction("MyGrad", &grad_func);

  // Add func and its gradient to host graph
  TF_GraphCopyFunction(host_graph_, func_, grad_func, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  // Verify that function and its grad are in host graph's GraphDef
  GraphDef gdef;

	statsConfigCmd.PersistentFlags().StringVarP(&outputFormat, "output", "o", summaryOutput, "Output format: one of json|yaml|short|prom|prom-merged")
	statsConfigCmd.PersistentFlags().StringVarP(&statsType, "type", "t", "server", "Where to grab the stats: one of server|clusters")
	statsConfigCmd.PersistentFlags().StringVarP(&labelSelector, "selector", "l", "", "Label selector")

    while (taskFaker.isIdle()) {
      set("a", "a", "a")
      set("b", "b", "b")
    }
    val commitEditor = cache.edit("c")!!
    val abortEditor = cache.edit("d")!!
    cache.edit("e") // Grab an editor, but don't do anything with it.

    // Cause the rebuild action to fail.
    filesystem.setFaultyRename(cacheDir / DiskLruCache.JOURNAL_FILE_BACKUP, true)
    taskFaker.runNextTask()

v??xas?ykot??p&a&ehc?g?m?s??eej?g!.&gro?ibom?moc?ossa?ten?ude???i&r!.nalc,?v?z??j!.&0&g0,j0,o0o,t0,?a&3&5xq6f--nx?xqi0ostn--nx??5wtb6--nx?85uwuu--nx?9xtlk--nx?ad,b&ats,ihc!.&a&bihciakoy?don?ma&him?ye&ragan?tat???r&a&bom?gan?hihci??u&agedos?kas?ustak???s&os?ufomihs??t&amihcay?iran??w&a&g&im&anah?o??omak??kihci?zustum??ihsak??y&agamak?imonihci???e&akas?nagot??i&azni?esohc?h&asa?s&abanuf?ohc???ka&to?zok??musi?orihs?r&akihabihsokoy?o&dim?tak??ukujuk??usihs??nano&hc?yk??o&d&iakustoy?ustam??hsonhot?k&...

v??xas?ykot??p&a&ehc?g?m?s??eej?g!.&gro?ibom?moc?ossa?ten?ude???i&r!.nalc,?v?z??j!.&0&g0,j0,o0o,t0,?a&3&5xq6f--nx?xqi0ostn--nx??5wtb6--nx?85uwuu--nx?9xtlk--nx?ad,b&ats,ihc!.&a&bihciakoy?don?ma&him?ye&ragan?tat???r&a&bom?gan?hihci??u&agedos?kas?ustak???s&os?ufomihs??t&amihcay?iran??w&a&g&im&anah?o??omak??kihci?zustum??ihsak??y&agamak?imonihci???e&akas?nagot??i&azni?esohc?h&asa?s&abanuf?ohc???ka&to?zok??musi?orihs?r&akihabihsokoy?o&dim?tak??ukujuk??usihs??nano&hc?yk??o&d&iakustoy?ustam??hsonhot?k&...

  TF_DeleteBuffer(t_buffer);
}

REGISTER_OP("TestOpWithNoGradient")
    .Input("x: T")
    .Output("y: T")
    .Attr("T: {float, double}")
    .Doc(R"doc(
Test op with no grad registered.

x: input
y: output
)doc")
    .SetShapeFn(tensorflow::shape_inference::UnknownShape);

class CApiGradientsTest : public ::testing::Test {
 protected:
  CApiGradientsTest()