# Note that linux cpu and cuda builds share the same toolchain now.
common:release_gpu_linux --config=cuda_clang_official
# Local test jobs has to be 4 because parallel_gpu_execute is fragile, I think
test:release_gpu_linux --test_timeout=300,450,1200,3600 --local_test_jobs=4 --run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute

# Deprecated release CPU config with non-hermetic toolchains.

//
// Design decisions made:
// * Backing store for tensor memory has an associated deallocation
//   function.  This deallocation function will point to client code
//   for tensors populated by the client.  So the client can do things
//   like shadowing a numpy array.
// * We do not provide TF_OK since it is not strictly necessary and we
//   are not optimizing for convenience.
// * We make assumption that one session has one graph.  This should be

		if _, err = er.HealObject(ctx, bucket, object, "", madmin.HealOpts{NoLock: true}); err != nil {
			return err
		}
		// Fetch FileInfo again. HealObject migrates object the latest
		// format. Among other things this changes fi.DataDir and
		// possibly fi.Data (if data is inlined).
		fi, metaArr, onlineDisks, err = er.getObjectFileInfo(ctx, bucket, object, opts, true)
		if err != nil {
			return toObjectErr(err, bucket, object)