func.func @prepareStatistics(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
  %0 = "quantfork.stats"(%arg0) {
    layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>
  } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
  %1 = "quantfork.stats"(%0) {
    layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
    axisStats = dense<[
      [-1.0, 1.0],
      [-8.0, 8.0],
      [-0.5, 0.5]
    ]> : tensor<3x2xf32>, axis = 2 : i64

      %cst_4 = arith.constant dense<[0, 0, 1, 1, 1]> : tensor<5xi32>
      %cst_5 = arith.constant dense<[0, 1, 0, 1, 1]> : tensor<5xi32>
      %cst_6 = arith.constant dense<2> : tensor<i32>
      %cst_7 = arith.constant dense<"*"> : tensor<!tf_type.string>
      %cst_8 = arith.constant dense<-1> : tensor<1xi32>
      %cst_9 = arith.constant dense<-1> : tensor<i32>

#define NEED_EXT_FEATURES_CX V2_EXT_FEATURES_CX
#endif

#ifdef GOAMD64_v3
#define NEED_MAX_CPUID 0x80000001
#define NEED_FEATURES_CX V3_FEATURES_CX
#define NEED_EXT_FEATURES_CX V3_EXT_FEATURES_CX
#define NEED_EXT_FEATURES_BX V3_EXT_FEATURES_BX
#define NEED_OS_SUPPORT_AX V3_OS_SUPPORT_AX
#endif

#ifdef GOAMD64_v4
#define NEED_MAX_CPUID 0x80000001
#define NEED_FEATURES_CX V4_FEATURES_CX

// resources.

// CHECK-LABEL: func @cluster_with_loop
func.func @cluster_with_loop() -> () {
  // CHECK: %[[COUNT:.*]] = "tf.Const"() <{value = dense<10> : tensor<i32>}>
  %0 = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32>
  // CHECK: %[[VH:.*]] = "tf.VarHandleOp"()
  %1 = "tf.VarHandleOp"() {container = "c", shared_name = "v"} : () -> tensor<*x!tf_type.resource<tensor<f32>>>

func.func @decomposition_outside_cluster() {
  %0 = "tf.VarHandleOp"() {container = "c", shared_name = "v"} : () -> tensor<*x!tf_type.resource<tensor<2x8xi32>>>
  // CHECK:      %[[ONE:.*]] = "tf.Const"() <{value = dense<1> : tensor<i32>}>
  %1 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
  // CLUSTER-ONLY: "tf.AssignAddVariableOp"
  // ALWAYS-DECOMPOSE-NOT:  "tf.AssignAddVariableOp"

    %control_A = tf_executor.island wraps "tf.OpA"() : () -> ()
    // CHECK: %[[CHAIN_CONSTANT:.*]], %{{.*}} = tf_executor.island wraps "tf.Const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
    // CHECK: %[[WHILE_OUT:.*]]:6, %[[WHILE_CONTROL:.*]] = tf_executor.island(%[[A_CONTROL]]) wraps "tf.While"(%[[ARG_0]], %[[ARG_1]], %[[ARG_2]], %[[ARG_2]], %[[CHAIN_CONSTANT]], %[[CHAIN_CONSTANT]])

The native software model builds on the base Gradle software model.

To build native software using Gradle, your project should define one or more _native components_. Each component represents either an executable or a library that Gradle should build. A project can define any number of components. Gradle does not define any components by default.

  for (auto& n : nodes) {
    if (n.attr.empty()) {
      n.attr = {{"T", DT_FLOAT}};
    }
  }
  *g = FunctionDefHelper::Define(
      // Arg defs
      {"x: float", "dy: float"},
      // Ret val defs
      {"dx: float"},
      // Attr defs
      {},
      // Nodes
      nodes);
  return absl::OkStatus();
}

// A gradient containing only supported operators

#pragma GCC diagnostic ignored "-Wunaligned-access"

#include <errno.h>
#include <string.h>
`

// Prologue defining TSAN functions in C.
const noTsanProlog = `
#define CGO_NO_SANITIZE_THREAD
#define _cgo_tsan_acquire()
#define _cgo_tsan_release()
`

// This must match the TSAN code in runtime/cgo/libcgo.h.
// This is used when the code is built with the C/C++ Thread SANitizer,

				// are in hex and half are in whatever the #define used.
				n.Const = fmt.Sprintf("%#x", i)
			} else if n.Define[0] == '\'' {
				if _, err := parser.ParseExpr(n.Define); err == nil {
					n.Kind = "iconst"
					n.Const = n.Define
				}
			} else if n.Define[0] == '"' {
				if _, err := parser.ParseExpr(n.Define); err == nil {
					n.Kind = "sconst"
					n.Const = n.Define
				}
			}

			if n.IsConst() {