}

    triggers {
        vcs {
            branchFilter = ""
            enabled = VersionedSettingsBranch.fromDslContext().enableVcsTriggers
        }
    }

    requirements {
        requiresOs(Os.LINUX)
    }

[kubernetes-client-linux-arm64.tar.gz](https://storage.googleapis.com/kubernetes-release/release/v1.3.10/kubernetes-client-linux-arm64.tar.gz) | `176b52d35150ca9f08a7e90e33e2839b7574afe350edf4fafa46745d77bb5aa4`
[kubernetes-client-linux-arm.tar.gz](https://storage.googleapis.com/kubernetes-release/release/v1.3.10/kubernetes-client-linux-arm.tar.gz) | `1c3bf4ac1e4eb0e02f785db725efd490beaf06c8acd26d694971ba510b60a94d`

import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.BuildType
import jetbrains.buildServer.configs.kotlin.buildSteps.script

fun BuildType.applyPerformanceTestSettings(
    os: Os = Os.LINUX,
    arch: Arch = Arch.AMD64,
    timeout: Int = 30,
) {
    applyDefaultSettings(os = os, arch = arch, timeout = timeout)
    artifactRules =
        """
        build/report-*-performance-tests.zip => .

    override fun channel() = "${type.channel}${if (os == Os.LINUX) "" else "-${os.name.lowercase(Locale.US)}"}-%teamcity.build.branch%"
}

data class FlameGraphGeneration(
    private val uuid: Int,
    private val name: String,
    private val scenarios: List<PerformanceScenario>,
) : PerformanceTestProjectSpec {
    override val os: Os = Os.LINUX

import common.buildScanTagParam
import common.getBuildScanCustomValueParam
import model.CIBuildModel
import model.Stage

class BuildLogicTest(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Build-logic test"
        description = "Run :build-logic:test"

        features {
            publishBuildStatusToGithub(model)
        }

  implementation(libs.bouncycastle.bctls)
  api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(rootProject.libs.junit.jupiter.engine)

  api(variantOf(libs.amazonCorretto) {
    classifier("linux-x86_64")
  })

  api(libs.hamcrestLibrary)
  api(libs.junit.jupiter.api)
  api(libs.junit.jupiter.params)

  api(libs.junit.pioneer)

  compileOnly(libs.robolectric.android)

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
# TODO: Set back to 610M once the wheel size is fixed.

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

pkg syscall (linux-amd64), type SysProcAttr struct, GidMappingsEnableSetgroups bool
pkg syscall (linux-amd64), type SysProcAttr struct, Pgid int
pkg syscall (linux-amd64-cgo), type SysProcAttr struct, Foreground bool
pkg syscall (linux-amd64-cgo), type SysProcAttr struct, GidMappingsEnableSetgroups bool
pkg syscall (linux-amd64-cgo), type SysProcAttr struct, Pgid int

		// Could not probe the kernel version
		return false
	}

	if currentKernel == 0 {
		// We could not get any valid value return false
		return false
	}

	// legacy linux indicator for printing warnings
	// about older Linux kernels and Go runtime.
	return currentKernel < kernel.Version(4, 0, 0)
}

func setMaxResources(ctx serverCtxt) (err error) {
	// Set the Go runtime max threads threshold to 90% of kernel setting.