object := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key)).ReadCompressed(true)

	r, err = object.NewRangeReader(ctx, opts.startOffset, opts.length)
	if err != nil {
		return nil, gcsToObjectError(err, gcs.Bucket, key)
	}
	return r, nil
}

func (gcs *warmBackendGCS) Remove(ctx context.Context, key string, rv remoteVersionID) error {
	err := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key)).Delete(ctx)

	switch tier.Type {
	case madmin.S3:
		d, err = newWarmBackendS3(*tier.S3, tier.Name)
	case madmin.Azure:
		d, err = newWarmBackendAzure(*tier.Azure, tier.Name)
	case madmin.GCS:
		d, err = newWarmBackendGCS(*tier.GCS, tier.Name)
	case madmin.MinIO:
		d, err = newWarmBackendMinIO(*tier.MinIO, tier.Name)
	default:
		return nil, errTierTypeUnsupported
	}
	if err != nil {
		tierLogIf(ctx, err)

grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy == 1.11.3
requests >= 2.31.0
packaging==23.2
setuptools==70.0.0
jax==0.4.7
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1
libclang >= 13.0.0
google_pasta ~= 0.2

# ==============================================================================
# Release jobs are very basic. They don't use any caching or RBE,
# but they do upload logs to resultstore.
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

				"subprojects":[
					"workers",
					"wrapper-main",
					"testing-base-infrastructure",
					"messaging",
					"war",
					"instrumentation-agent-services",
					"build-profile",
					"resources-gcs",
					"ear",
					"plugins-distribution",
					"problems"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"scala",

**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/latest/gpu/windows_gpu_libtensorflow_binaries.tar.gz) [Official GCS](https://storage.googleapis.com/tensorflow/)...

# limitations under the License.
# ==============================================================================
# This script uploads all staged artifacts from all previous builds in the same
# job chain to GCS and PyPI.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Update the version numbers for Nightly only, then fetch the version numbers
# for choosing the final directory name. This adds "-devYYYYMMDD" to the end of

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
# 1. Upload nightlies
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy >= 1.13.0
requests >= 2.31.0
packaging==23.2
setuptools==70.0.0
jax==0.4.7
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1
libclang >= 13.0.0
google_pasta ~= 0.2