lateLowerValue valueRewriter  // value lowering function that needs to be run after the first round; only used on some architectures
	splitLoad      valueRewriter  // function for splitting merged load ops; only used on some architectures
	registers      []Register     // machine registers
	gpRegMask      regMask        // general purpose integer register mask

				f.Config.splitLoad(v)
			}
		}
	}
}

// combineFirst contains ops which appear in combine as the
// first part of the key.
var combineFirst = map[Op]bool{}

func init() {
	for k := range combine {
		combineFirst[k[0]] = true
	}
}

// needSplit contains instructions that should be postprocessed by splitLoad
// into a more-efficient two-instruction form.

			}

			// If v will be spilled, and v uses memory, then we must split it
			// into a load + a flag generator.
			if spill[v.ID] && v.MemoryArg() != nil {
				remove = append(remove, v)
				if !f.Config.splitLoad(v) {
					f.Fatalf("can't split flag generator: %s", v.LongString())
				}
			}

			// Make sure any flag arg of v is in the flags register.
			// If not, recompute it.
			for i, a := range v.Args {

		return "", false
	}
	b := fileArch[0]
	if b == '_' || ('a' <= b && b <= 'z') {
		return "", false
	}
	archCaps = fileArch
	fileArch = strings.ToLower(fileArch)
	fileArch = strings.TrimSuffix(fileArch, "splitload")
	fileArch = strings.TrimSuffix(fileArch, "latelower")
	if fileArch == goArch {
		return "", false
	}
	if fileArch == strings.TrimSuffix(goArch, "le") {
		return "", false
	}
	return archCaps, true

		match = normalizeSpaces(match[:i])
	}
	return match, cond, result
}

func genRules(arch arch)          { genRulesSuffix(arch, "") }
func genSplitLoadRules(arch arch) { genRulesSuffix(arch, "splitload") }
func genLateLowerRules(arch arch) { genRulesSuffix(arch, "latelower") }

func genRulesSuffix(arch arch, suff string) {
	// Open input file.
	text, err := os.Open(arch.name + suff + ".rules")
	if err != nil {

	buf.WriteByte('?')
}

// closeWord writes the end of an encoded-word into buf.
func closeWord(buf *strings.Builder) {
	buf.WriteString("?=")
}

// splitWord closes the current encoded-word and opens a new one.
func (e WordEncoder) splitWord(buf *strings.Builder, charset string) {
	closeWord(buf)
	buf.WriteByte(' ')
	e.openWord(buf, charset)
}

func isUTF8(charset string) bool {

  double max_error;
  TF_ASSERT_OK((ComputeGradientError<double, double, double>(
      scope, {x}, {x_shape}, {z}, {z_shape}, &max_error)));
  EXPECT_LT(max_error, 1e-10);
}

TEST(GradientCheckerTest, SplitGrad) {
  // Split is an op with single inputs and multiple outputs.
  Scope scope = Scope::NewRootScope();
  TensorShape x_shape({5, 2});
  auto x = Placeholder(scope, DT_DOUBLE, Placeholder::Shape(x_shape));

Status SplitGrad(const Scope& scope, const Operation& op,
                 const std::vector<Output>& grad_inputs,
                 std::vector<Output>* grad_outputs) {
  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(Concat(scope, grad_inputs, op.input(0)));
  return scope.status();
}
REGISTER_GRADIENT_OP("Split", SplitGrad);

TEST_F(ArrayGradTest, IdentityGrad) {
  TensorShape shape({5, 2});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));
  auto y = Identity(scope_, x);
  RunTest(x, shape, y, shape);
}

TEST_F(ArrayGradTest, SplitGrad) {
  TensorShape x_shape({5, 2});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
  // Split along the second dimension.
  auto split_dim = Const(scope_, 1, {});

r=this,n="",a=this.currToken;this.currToken&&this.currToken[A.FIELDS.TYPE]===T.colon;)n+=this.content(),this.position++;if(!this.currToken)return this.expected(["pseudo-class","pseudo-element"],this.position-1);if(this.currToken[A.FIELDS.TYPE]===T.word)this.splitWord(!1,function(s,o){n+=s,r.newNode(new vk.default({value:n,source:Ca(a,r.currToken),sourceIndex:a[A.FIELDS.START_POS]})),o>1&&r.nextToken&&r.nextToken[A.FIELDS.TYPE]===T.openParenthesis&&r.error("Misplaced parenthesis.",{index:r.nextToken[A.FIELDS.START_POS]})});else...