if (!k_values_or.has_value() || !k_indices_or.has_value()) return failure();
    int32_t k_values = k_values_or.value();
    int32_t k_indices = k_indices_or.value();
    // We don't match two SliceOp with different sizes.
    if (k_values != k_indices && !values.use_empty() && !indices.use_empty())
      return failure();

    // Start replacing.
    auto k = !values.use_empty() ? k_values : k_indices;

        }

        w = new WriterThread();
        w.setDaemon( true );
        w.start();

        /* Downgrade one transport to the lower of the negotiated buffer sizes
         * so we can just send whatever is received.
         */

        SmbTransport t1 = tree.session.transport;
        SmbTransport t2 = dest.tree.session.transport;

  @Test
  fun writeTimeouts() {
    val server = MockWebServer()
    // Sockets on some platforms can have large buffers that mean writes do not block when
    // required. These socket factories explicitly set the buffer sizes on sockets created.
    val socketBufferSize = 4 * 1024
    server.serverSocketFactory =
      object : DelegatingServerSocketFactory(getDefault()) {

           "Maximum shape inference iterations">,
    Option<"input_arg_shapes_", "input-arg-shapes", "std::string", /*default=*/"",
           "Input tensor shapes. Shapes for different tensors are separated by ':', and dimension sizes for the same tensor are separated by ','">,
  ];
}

def StripNoinlineAttributePass : Pass<"tf-strip-noinline-attribute", "ModuleOp"> {
  let summary = "Strip the tf._noinline attribute from top-level functions.";

	case ACMPU:
		return op_CLGFI
	case ACMPW:
		return op_CFI
	case ACMPWU:
		return op_CLFI
	}
	c.ctxt.Diag("unknown ril opcode %v", a)
	return 0
}

// z instructions sizes
const (
	sizeE    = 2
	sizeI    = 2
	sizeIE   = 4
	sizeMII  = 6
	sizeRI   = 4
	sizeRI1  = 4
	sizeRI2  = 4
	sizeRI3  = 4
	sizeRIE  = 6
	sizeRIE1 = 6
	sizeRIE2 = 6

		{name: "BSRL", argLength: 1, reg: gp11, asm: "BSRL", typ: "UInt32", clobberFlags: true}, // # of high-order zeroes in 32-bit arg

		// CMOV instructions: 64, 32 and 16-bit sizes.
		// if arg2 encodes a true result, return arg1, else arg0
		{name: "CMOVQEQ", argLength: 3, reg: gp21, asm: "CMOVQEQ", resultInArg0: true},
		{name: "CMOVQNE", argLength: 3, reg: gp21, asm: "CMOVQNE", resultInArg0: true},

  return lhs.hasRank() && rhs.hasRank() && lhs.getRank() == rhs.getRank();
}

// Creates a compatible RankedTensorType where mismatched dimensions are
// replaced with dynamic sizes.
RankedTensorType GetCompatibleRankedTensorType(RankedTensorType lhs,
                                               RankedTensorType rhs) {
  assert(lhs.getRank() == rhs.getRank());
  llvm::SmallVector<int64_t, 4> dims;

func.func @testPackShapeComputation(%arg0: tensor<?x1xf32>, %arg1: tensor<?x1x2xf32>, %arg2: tensor<*xf32>) -> (tensor<2xi32>, tensor<3xi32>, tensor<3xi32>, tensor<3xi32>, tensor<*xi32>) {
  // Test dimensions sizes.
  %d1 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
  %d2 = "tf.Const"() {value = dense<2> : tensor<i32>} : () -> tensor<i32>

  // Slice bounds.

	st := ctxt.makeRelocSymState()

	// This doesn't distinguish the memory size from the file
	// size, and it lays out the file based on Symbol.Value, which
	// is the virtual address. DWARF compression changes file sizes,
	// so dwarfcompress will fix this up later if necessary.
	eaddr := addr + size
	for _, s := range syms {
		if ldr.AttrSubSymbol(s) {
			continue
		}
		val := ldr.SymValue(s)
		if val >= eaddr {

	n   int
	err error
	b   byte // byte read, if n == 1
}

// connReader is the io.Reader wrapper used by *conn. It combines a
// selectively-activated io.LimitedReader (to bound request header
// read sizes) with support for selectively keeping an io.Reader.Read
// call blocked in a background goroutine to wait for activity and
// trigger a CloseNotifier channel.
type connReader struct {
	conn *conn