# See the latter for an explanation.

# Names should be added to this file as:
# Name or Organization <email address>
# The email address is not required for organizations.

Google Inc.
Yuan Tang <******@****.***>

		if raw.typ == EvCPUSample {
			e := Event{Type: raw.typ}

			argOffset := 1
			narg := raw.argNum()
			if len(raw.args) != narg {
				return fmt.Errorf("CPU sample has wrong number of arguments: want %d, got %d", narg, len(raw.args))
			}
			for i := argOffset; i < narg; i++ {
				if i == narg-1 {
					e.StkID = uint32(raw.args[i])
				} else {
					e.Args[i-argOffset] = raw.args[i]
				}
			}

				// If the receiver has any targs, set those as the
				// rparams of the method (since those are the
				// typeparams being used in the method sig/body).
				targs := baseType(recv.Type()).TypeArgs()
				var rparams []*types.TypeParam
				if targs.Len() > 0 {
					rparams = make([]*types.TypeParam, targs.Len())
					for i := range rparams {
						rparams[i], _ = targs.At(i).(*types.TypeParam)
					}
				}

  // There are 2 nodes in the graph, one for arg and another for retval.
  ASSERT_THAT(exported_model->graph_def().node(), SizeIs(2));

  // Match the `_Arg` node that corresponds to the argument of @main.
  const auto arg_node_itr =
      llvm::find_if(exported_model->graph_def().node(),
                    [](const NodeDef& node) { return node.op() == "_Arg"; });

Joe Tsai <******@****.***> 1446603151 -0800

Joe Tsai <******@****.***> 1446603151 -0800

Clustered nodes: 2725
Unclustered nodes: 606
Number of clusters: 2

unclustered size 606
 AssignAddVariableOp 1
 Const 108
 DivNoNan 1
 Identity 2
 Merge 53
 PlaceholderWithDefault 1
 ReadVariableOp 2
 Switch 1
 _Arg 435
 _Retval 2
cluster 0 size 1910
 Add 16
 AddN 71
 ArgMax 1
 AssignAddVariableOp 1
 BiasAdd 1
 BiasAddGrad 1
 Cast 115
 Const 407
 Conv2D 53
 Conv2DBackpropFilter 53
 Conv2DBackpropInput 52

namespace {

StatusOr<std::unique_ptr<Graph>> SampleGraphAddXY() {
  std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
  Scope scope = Scope::NewRootScope().ExitOnError();
  auto a = ops::_Arg(scope.WithOpName("A"), DT_INT32, 0);
  auto b = ops::_Arg(scope.WithOpName("B"), DT_INT32, 1);
  auto c = ops::Add(scope.WithOpName("C"), a, b);
  auto d = ops::_Retval(scope.WithOpName("D"), c, 0);
  TF_RETURN_IF_ERROR(scope.ToGraph(graph.get()));

	fmt.Fprintf(os.Stderr, "Flags:\n")
	flag.PrintDefaults()
	os.Exit(2)
}

func Parse() {
	objabi.Flagparse(Usage)
	if flag.NArg() == 0 {
		flag.Usage()
	}

	// Flag refinement.
	if *OutputFile == "" {
		if flag.NArg() != 1 {
			flag.Usage()
		}
		input := filepath.Base(flag.Arg(0))
		input = strings.TrimSuffix(input, ".s")
		*OutputFile = fmt.Sprintf("%s.o", input)
	}

     tf_executor.fetch %outputs : tensor<8x1xf32>
  }
  func.return %0 : tensor<8x1xf32>
}

// Check that we generate _handle_dtypes and _handle_shapes for the resource
// argument.

// CHECK:      op: "_Arg"

// CHECK:        key: "_handle_dtypes"
// CHECK-NEXT:   value {
// CHECK-NEXT:     list {
// CHECK-NEXT:       type: DT_FLOAT
// CHECK-NEXT:     }
// CHECK-NEXT:   }
// CHECK-NEXT: }