if err != nil {
			log.Fatalf("stressNet: http Get error: %v", err)
		}
		if res.StatusCode != 200 {
			log.Fatalf("stressNet: Status code = %d", res.StatusCode)
		}
		n, err := io.Copy(io.Discard, res.Body)
		if err != nil {
			log.Fatalf("stressNet: io.Copy: %v", err)
		}
		if n != int64(size) {
			log.Fatalf("stressNet: copied = %d; want %d", n, size)
		}
		res.Body.Close()

	var (
		bytesSent Int
		bytesRead Int
	)

	// The benchmark creates GOMAXPROCS client/server pairs.
	// Each pair creates 4 goroutines: client reader/writer and server reader/writer.
	// The benchmark stresses concurrent reading and writing to the same connection.
	// Such pattern is used in net/http and net/rpc.

	b.StopTimer()

	P := runtime.GOMAXPROCS(0)
	N := b.N / P
	W := 1000

	testHookUninstaller.Do(uninstallTestHooks)

	// The benchmark creates GOMAXPROCS client/server pairs.
	// Each pair creates 4 goroutines: client reader/writer and server reader/writer.
	// The benchmark stresses concurrent reading and writing to the same connection.
	// Such pattern is used in net/http and net/rpc.

	b.StopTimer()

	P := runtime.GOMAXPROCS(0)
	N := b.N / P
	W := 1000

        "@llvm-project//mlir:Support",
    ],
)

# TensorFlow ops are separated into `tensorflow_ops_a_m.cc` and
# `tensorflow_ops_n_z.cc` so that C++ compiler won't be stressed by huge C++
# files. However, there might be dependencies between `tensorflow_ops_a_m.cc`
# and `tensorflow_ops_n_z.cc`, thus they must be built in one `cc_library`.
cc_library(
    name = "tensorflow_ops_sharded",