{name: "CALLtail", argLength: -1, reg: regInfo{clobbers: callerSave}, aux: "CallOff", clobberFlags: true, call: true, tailCall: true},                                // tail call static function aux.(*obj.LSym).  last arg=mem, auxint=argsize, returns mem

  // Check compatibility of batch dimensions if both input shapes are known.
  // BatchMatMul should have exactly the same batch dimensions and
  // BatchMatMulV2 should have broadcastable batch dimensions.
  //
  // The last two dimensions are non-batch dimensions that don't need to
  // participate in batch dimension compatibility check.
  if (std::is_same<OpT, BatchMatMulOp>()) {
    for (const auto& dim_pairs : llvm::zip(x_batches, y_batches)) {

// An example function is similar to a test function but, instead of using
// *testing.T to report success or failure, prints output to os.Stdout.
// If the last comment in the function starts with "Output:" then the output
// is compared exactly against the comment (see examples below). If the last
// comment begins with "Unordered output:" then the output is compared to the
// comment, however the order of the lines is ignored. An example with no such

    for (const auto shape_elem : shape_value) {
      if (shape_elem.getSExtValue() <= 0) {
        return op.emitOpError("all elements of shape must be > 0");
      }
    }

    // Checks whether the last `(shape_type.getDimSize(0) - outermost_dim)`
    // dimensions of `updates` and `shape` are equal.
    for (const auto& shape_it : llvm::enumerate(shape_value)) {
      int64_t i = shape_it.index();

"acel", "acela", "acele", "acelea", "acest", "acesta", "aceste", "acestea", "aceşti", "aceştia", "acolo", "acum", "ai", "aia", "aibă", "aici", "al", "ăla", "ale", "alea", "ălea", "altceva", "altcineva", "am", "ar", "are", "aş", "aşadar", "asemenea", "asta", "ăsta", "astăzi", "astea", "ăstea", "ăştia", "asupra", "aţi", "au", "avea", "avem", "aveţi", "azi", "bine", "bucur", "bună", "ca", "că", "căci", "când", "care", "cărei", "căror", "cărui", "cât", "câte", "câţi", "către", "câtva", "ce", "cel", "ceva",...

"acel", "acela", "acele", "acelea", "acest", "acesta", "aceste", "acestea", "aceşti", "aceştia", "acolo", "acum", "ai", "aia", "aibă", "aici", "al", "ăla", "ale", "alea", "ălea", "altceva", "altcineva", "am", "ar", "are", "aş", "aşadar", "asemenea", "asta", "ăsta", "astăzi", "astea", "ăstea", "ăştia", "asupra", "aţi", "au", "avea", "avem", "aveţi", "azi", "bine", "bucur", "bună", "ca", "că", "căci", "când", "care", "cărei", "căror", "cărui", "cât", "câte", "câţi", "către", "câtva", "ce", "cel", "ceva",...

	}

	te := header.get("Transfer-Encoding")
	hasTE := te != ""

	// If the handler is done but never sent a Content-Length
	// response header and this is our first (and last) write, set
	// it, even to zero. This helps HTTP/1.0 clients keep their
	// "keep-alive" connections alive.
	// Exceptions: 304/204/1xx responses never get Content-Length, and if

	bit3, mask3                           // bit3 == 8, mask3 == 7  (iota == 3)
)
</pre>

<p>
This last example exploits the <a href="#Constant_declarations">implicit repetition</a>
of the last non-empty expression list.
</p>


<h3 id="Type_declarations">Type declarations</h3>

<p>

  return %1 : tensor<1x4x3x5x!quant.uniform<i8:f32, 4.000000e+0>>
}
// Contracting dimension must be the last two dimension
// CHECK-LABEL: dot_general_upstream_srq_wrong_contracting
// CHECK: stablehlo.dot_general
// CHECK-NOT: tfl.batch_matmul

// -----

// Tests static range quantized dot_general with float operands

  // MapDatasetOp's relationship with its associated function is as
  // follows: first M function params are dictated by the set
  // output shapes and types, the next N are the last Ninputs from MapDataset
  // op. The MapDataset op always has N+1 inputs.
  // TODO(jpienaar): Avoid this lookup.
  auto module = op->getParentOfType<ModuleOp>();
  auto f = module.lookupSymbol<func::FuncOp>(op.getF());