COPYRIGHT

All contributions by the University of California:

Copyright (c) 2014, The Regents of the University of California (Regents)
All rights reserved.

All other contributions:

Copyright (c) 2014, the respective contributors
All rights reserved.

Caffe uses a shared copyright model: each contributor holds copyright over
their contributions to Caffe. The project versioning records all such

		check.hasCallOrRecv = false
	}

	// Evaluate arguments for built-ins that use ordinary (value) arguments.
	// For built-ins with special argument handling (make, new, etc.),
	// evaluation is done by the respective built-in code.
	var args []*operand // not valid for _Make, _New, _Offsetof, _Trace
	var nargs int
	switch id {
	default:
		// check all arguments
		args = check.exprList(argList)
		nargs = len(args)

  fi
  return 1;
}

# kube::golang::best_guess_go_targets takes a list of build targets, which might
# be Go-style names (e.g. example.com/foo/bar or ./foo/bar) or just local paths
# (e.g. foo/bar) and produces a respective list (on stdout) of our best guess at
# Go target names.
kube::golang::best_guess_go_targets() {
  local target
  for target; do
    if [ "${target}" = "ginkgo" ] ||

    // op_name.
    auto attr_id = mlir::StringAttr::get(inst->getContext(), "f");
    inst->removeAttr(attr_id);
  } else {
    // Some control flow ops in TensorFlow Graph have their respective "Ref" ops
    // as well. For example there is Enter and RefEnter op. RefEnter forwards
    // the input ref buffer to output. However both Enter and RefEnter are

<a href="#Satisfying_a_type_constraint">satisfy</a> the constraint of its respective
type parameter.
</p>

<p>
Each such pair of matched types corresponds to a <i>type equation</i> containing
one or multiple type parameters, from one or possibly multiple generic functions.
Inferring the missing type arguments means solving the resulting set of type
equations for the respective type parameters.
</p>

<p>
For example, given

// QuantizeCompositeFunctionsPass.
// For example, for tf.MatMul with `attributes` = {{"transpose_a", false},
// {"transpose_b", false}}, the generated attr_map is
// "0:transpose_a,1:transpose_b", where 0 and 1 are the respective attribute
// identifiers.
// This function returns success if all attributes could be found.
LogicalResult SetAttributeMap(MLIRContext& context,
                              const ArrayRef<NamedAttribute> attributes,

// [ncases]uintptr (also on the stack); for other builds, it's set to
// nil.
//
// selectgo returns the index of the chosen scase, which matches the
// ordinal position of its respective select{recv,send,default} call.
// Also, if the chosen scase was a receive operation, it reports whether
// a value was received.

		// The respective sub-expressions got their final types
		// upon assignment or use.
		if debug {
			check.dump("%v: found old type(%s): %s (new: %s)", x.Pos(), x, old.typ, typ)
			panic("unreachable")
		}
		return

	case *ast.CallExpr:
		// Resulting in an untyped constant (e.g., built-in complex).
		// The respective calls take care of calling updateExprType

// i.e., token.Pos, Scopes, Objects, and fields of basic types
// (strings, etc.) are ignored.
//
// Children are traversed in the order in which they appear in the
// respective node's struct definition. A package's files are
// traversed in the filenames' alphabetical order.
func Apply(root ast.Node, pre, post ApplyFunc) (result ast.Node) {
	parent := &struct{ ast.Node }{root}
	defer func() {

// own module, so that there would be two modules rsc.io/qr and rsc.io/qr/gf256.
// Then we can simultaneously issue rsc.io/qr v0.3.0 (dropping the gf256 subdirectory)
// and rsc.io/qr/gf256 v0.1.0, including in their respective go.mod
// cyclic requirements pointing at each other: rsc.io/qr v0.3.0 requires
// rsc.io/qr/gf256 v0.1.0 and vice versa. Then a build can be
// using an older rsc.io/qr module that includes the gf256 package, but if