}

# Package up all of the node binaries
function kube::release::package_node_tarballs() {
  local platform
  for platform in "${KUBE_NODE_PLATFORMS[@]}"; do
    local platform_tag
    local arch
    platform_tag=${platform/\//-} # Replace a "/" for a "-"
    arch=$(basename "${platform}")
    kube::log::status "Building tarball: node $platform_tag"

        "//tensorflow/tools/proto_splitter:merge",
    ]) + if_not_mobile([
        # TODO(b/111634734): :lib and :protos_all contain dependencies that
        # cannot be built on mobile platforms. Instead, include the appropriate
        # tf_lib depending on the build platform.
        "@com_google_absl//absl/memory:memory",
        "//tensorflow/core:lib",
        "//tensorflow/core/util/tensor_bundle:byteswaptensor",
    ]),
)

tf_cc_test(

import org.junit.platform.launcher.Launcher;
import org.junit.platform.launcher.LauncherDiscoveryRequest;
import org.junit.platform.launcher.LauncherSession;
import org.junit.platform.launcher.PostDiscoveryFilter;
import org.junit.platform.launcher.TestExecutionListener;
import org.junit.platform.launcher.TestIdentifier;
import org.junit.platform.launcher.TestPlan;
import org.junit.platform.launcher.core.LauncherDiscoveryRequestBuilder;

import org.jetbrains.kotlin.name.CallableId
import org.jetbrains.kotlin.name.ClassId
import org.jetbrains.kotlin.name.FqName
import org.jetbrains.kotlin.name.Name
import org.jetbrains.kotlin.platform.CommonPlatforms
import org.jetbrains.kotlin.platform.jvm.JvmPlatforms
import org.jetbrains.kotlin.psi.*
import org.jetbrains.kotlin.psi.psiUtil.findDescendantOfType
import org.junit.jupiter.api.Assertions
import org.junit.jupiter.api.Test

import org.jetbrains.kotlin.analysis.api.platform.packages.KotlinPackageProviderFactory
import org.jetbrains.kotlin.analysis.api.platform.packages.KotlinPackageProviderMerger
import org.jetbrains.kotlin.analysis.api.platform.KotlinPsiDeclarationProviderFactory
import org.jetbrains.kotlin.analysis.api.platform.projectStructure.KotlinResolutionScopeProvider
import org.jetbrains.kotlin.analysis.api.platform.packages.KotlinPackagePartProviderFactory

#include "tensorflow/compiler/mlir/quantization/stablehlo/cc/io.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.pb.h"
#include "tsl/platform/protobuf.h"  // IWYU pragma: keep
#include "tsl/platform/status_matchers.h"

namespace mlir::quant::stablehlo {
namespace {

using ::stablehlo::quantization::Method;
using ::stablehlo::quantization::QuantizableUnit;

import org.jetbrains.kotlin.analysis.api.platform.declarations.KotlinAnnotationsResolverFactory
import org.jetbrains.kotlin.analysis.api.platform.declarations.KotlinDeclarationProviderFactory
import org.jetbrains.kotlin.analysis.api.platform.declarations.KotlinDeclarationProviderMerger
import org.jetbrains.kotlin.analysis.api.platform.modification.KotlinGlobalModificationService

    _stablehlo_module_attrs = {}, _quantization_method = "weight_only_ptq { }",
    device = "", dim_args_spec = [], disabled_checks = [],
    has_token_input_output = false, module = "", platforms = [],
    version = 5 : i64
  } : (tensor<1x3x2x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x2x2x2xf32>
  return %0 : tensor<1x2x2x2xf32>
}

// CHECK-LABEL: func.func @qdq_for_conv_weight_empty

                'org/gradle/MySecondClass.class',
                'net/',
                'net/rubygrapefruit/',
                'net/rubygrapefruit/platform/',
                'net/rubygrapefruit/platform/osx-i386/',
                'net/rubygrapefruit/platform/osx-i386/libnative-platform.dylib',
                'org/gradle/reporting/',
                'org/gradle/reporting/report.js',
                'org/joda/',

// SwapInt64 atomically stores new into *addr and returns the previous *addr value.
// Consider using the more ergonomic and less error-prone [Int64.Swap] instead
// (particularly if you target 32-bit platforms; see the bugs section).
func SwapInt64(addr *int64, new int64) (old int64)

// SwapUint32 atomically stores new into *addr and returns the previous *addr value.