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

    bazel by doing as follows:

    ```bash
    export flags="--config=linux -k"
    ```

    If the tests are to be run on the GPU:

    *   For TensorFlow versions starting from v.2.18.0: Add the `cuda` option
        flag.

        ```bash
        export flags="--config=linux --config=cuda -k"
        ```

    *   For TensorFlow versions prior v.2.18.0: Add CUDA paths to

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"

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

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
```

		// 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.

## GNU/Linux

Use the following command to run a standalone MinIO server on Linux hosts running 64-bit Intel/AMD architectures. Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data.

```sh
wget https://dl.min.io/server/minio/release/linux-amd64/minio
chmod +x minio
./minio server /data
```

import common.requiresNotEc2Agent
import model.CIBuildModel
import model.Stage

class SmokeIdeTests(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Smoke Ide Tests"
        description = "Tests against IDE sync process"

        requirements {

export MC_HOST_myminio1="http://dillon-service-2:dillon-service-2@localhost:22000"

# Start MinIO instance
export CI=true

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

mc -v

# Start openid server
(
	cd ./minio-iam-testing
	make docker-images
	make docker-run
	cd -
)