// CHECK-NEXT:     [[PREFIX:%.*]] = "tf.Const"() <{value = dense<"restore_ariables"> : tensor<!tf_type.string>}> : () -> tensor<!tf_type.string>
// CHECK-NEXT:     [[SLICE:%.*]] = "tf.Const"() <{value = dense<""> : tensor<1x!tf_type.string>}> : () -> tensor<1x!tf_type.string>
// CHECK-NEXT:     [[NAME:%.*]] = "tf.Const"() <{value = dense<"y"> : tensor<1x!tf_type.string>}> : () -> tensor<1x!tf_type.string>

//go:build cgo && !netgo && unix && !darwin

package net

/*
#define _GNU_SOURCE 1

#cgo CFLAGS: -fno-stack-protector
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <netdb.h>
#include <unistd.h>
#include <string.h>
#include <stdlib.h>

#ifndef EAI_NODATA
#define EAI_NODATA -5
#endif

// If nothing else defined EAI_OVERFLOW, make sure it has a value.

    %3 = "quantfork.stats"(%arg2) {layerStats = dense<[7.05456924, 7.11401462]> : tensor<2xf32>} : (tensor<2xf32>) -> tensor<2xf32>
    %4 = "quantfork.stats"(%2) {layerStats = dense<[-1.36523, 3.57373]> : tensor<2xf32>} : (tensor<1x2x2x2xf32>) -> tensor<1x2x2x2xf32>
    %5 = "chlo.broadcast_add"(%4, %3) : (tensor<1x2x2x2xf32>, tensor<2xf32>) -> tensor<1x2x2x2xf32>

// CHECK-LABEL: transpose_simple_1d
func.func @transpose_simple_1d() -> tensor<2xf32> {
  %0 = stablehlo.constant dense<[0.000000e+0, 1.000000e+0]> : tensor<2xf32>
  %1 = stablehlo.transpose %0, dims = [0] : (tensor<2xf32>) -> tensor<2xf32>
  return %1 : tensor<2xf32>
}
// CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant dense<[0.000000e+00, 1.000000e+00]> : tensor<2xf32>
// CHECK-NOT: transpose
// CHECK: return %[[CONST_0]] : tensor<2xf32>

// any illegal ops at the end of the pipeline.

// CHECK-LABEL: allowsMHLO
func.func @allowsMHLO() -> (tensor<8x64x32x4xcomplex<f32>> {mhlo.sharding = ""}) {
  %0 = mhlo.constant dense<(1.000000e+00,-1.000000e+00)> : tensor<128x32x4xcomplex<f32>>
  %1 = mhlo.constant dense<(1.000000e+00,1.000000e+00)> : tensor<8x64x128xcomplex<f32>>

  %1 = "tfl.pseudo_const"() {value = dense<[[0.1]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
  %2 = "tfl.pseudo_const"() {value = dense<[[0.2]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
  %3 = "tfl.pseudo_const"() {value = dense<[[0.3]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
  %4 = "tfl.pseudo_const"() {value = dense<[[0.4]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>

//CHECK: module {
//CHECK-NEXT:  func.func @main(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
//CHECK-DAG:    %[[c0:.+]] = stablehlo.constant dense<2.000000e+00> : tensor<1x1x2xf32>
//CHECK-DAG:    %[[c1:.+]] = stablehlo.constant dense<1> : tensor<i32>
//CHECK-DAG:    %[[c2:.+]] = stablehlo.constant dense<0> : tensor<i32>

// CHECK-LABEL: fuseScalarAddIntoConv2dHalf
func.func @fuseScalarAddIntoConv2dHalf(%arg0: tensor<256x32x32x3xf16>, %arg1: tensor<16x3x3x3xf16>) -> tensor<256x8x7x16xf16> {
  %cst = arith.constant dense<1.5> : tensor<f16>
  %cst_0 = arith.constant dense<[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0]> : tensor<16xf16>

#if defined(__SYMBIAN32__) || (defined(__SUNPRO_CC) && __SUNPRO_CC < 0x590)
# define GTEST_DECLARE_TUPLE_AS_FRIEND_ public:
#else
# define GTEST_DECLARE_TUPLE_AS_FRIEND_ \
    template <GTEST_$(n)_TYPENAMES_(U)> friend class tuple; \
   private:
#endif


$range i 0..n-1
$range j 0..n
$range k 1..n
// GTEST_n_TUPLE_(T) is the type of an n-tuple.
#define GTEST_0_TUPLE_(T) tuple<>

$for k [[
$range m 0..k-1
$range m2 k..n-1

  %cst = arith.constant dense<[1, 0]> : tensor<2xi32>
  %cst_0 = arith.constant dense<0> : tensor<i32>
  %cst_1 = arith.constant dense<-1> : tensor<i32>
  %cst_2 = arith.constant dense<1> : tensor<i32>
  %0 = "tf.AddV2"(%arg2, %cst_2) {T = i32, device = ""} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>