old_contents: load("//tensorflow:tensorflow.bzl", "tf_py_test")
  
  # Create a benchmark test target of a TensorFlow C++ test (tf_cc_*_test)
  def tf_cc_logged_benchmark(
          name = None,
          target = None,
          benchmarks = "..",
          tags = [],
          benchmark_type = "cpp_microbenchmark",
          **kwargs):
      if not name:
          fail("Must provide a name")
      if not target:
          fail("Must provide a target")
      if (not ":" in target or
          not target.startswith("//") or
          target.endswith(":all") or
          target.endswith(".")):
          fail(" ".join((
              "Target must be a single well-defined test, e.g.,",
              "//path/to:test. Received: %s" % target,
          )))
  
      all_tags = tags + ["benchmark-test", "local", "manual", "regression-test"]
  
      tf_py_test(
          name = name,
          tags = all_tags,
          size = "large",
          srcs = ["//tensorflow/tools/test:run_and_gather_logs"],
          args = [
              "--name=//%s:%s" % (native.package_name(), name),
              "--test_name=" + target,
              "--test_args=--benchmarks=%s" % benchmarks,
              "--benchmark_type=%s" % benchmark_type,
          ],
          data = [
              target,
          ],
          main = "run_and_gather_logs.py",
          deps = [
              "//tensorflow/tools/test:run_and_gather_logs",
          ],
          **kwargs
      )
  
  # Create a benchmark test target of a TensorFlow python test (*py_tests)
  def tf_py_logged_benchmark(
          name = None,
          target = None,
          benchmarks = "..",
          tags = [],
          **kwargs):
      # For now generating a py benchmark is the same as generating a C++
      # benchmark target. In the future this may change, so we have
      # two macros just in case
      tf_cc_logged_benchmark(
          name = name,
          target = target,
          benchmarks = benchmarks,
          tags = tags,
          benchmark_type = "python_benchmark",
          **kwargs
      )
  
new_contents: load("//tensorflow:tensorflow.bzl", "tf_py_test")
  
  # Create a benchmark test target of a TensorFlow C++ test (tf_cc_*_test)
  def tf_cc_logged_benchmark(
          name = None,
          target = None,
          benchmarks = "..",
          tags = [],
          benchmark_type = "cpp_microbenchmark",
          **kwargs):
      if not name:
          fail("Must provide a name")
      if not target:
          fail("Must provide a target")
      if (not ":" in target or
          not target.startswith("//") or
          target.endswith(":all") or
          target.endswith(".")):
          fail(" ".join((
              "Target must be a single well-defined test, e.g.,",
              "//path/to:test. Received: %s" % target,
          )))
  
      all_tags = tags + ["benchmark-test", "local", "manual", "regression-test"]
  
      tf_py_test(
          name = name,
          tags = all_tags,
          size = "large",
          srcs = ["//tensorflow/tools/test:run_and_gather_logs"],
          args = [
              "--name=//%s:%s" % (native.package_name(), name),
              "--test_name=" + target,
              "--test_args=--benchmarks=%s" % benchmarks,
              "--benchmark_type=%s" % benchmark_type,
          ],
          data = [
              target,
          ],
          main = "run_and_gather_logs.py",
          deps = [
              "//tensorflow/tools/test:run_and_gather_logs_main_lib",
          ],
          **kwargs
      )
  
  # Create a benchmark test target of a TensorFlow python test (*py_tests)
  def tf_py_logged_benchmark(
          name = None,
          target = None,
          benchmarks = "..",
          tags = [],
          **kwargs):
      # For now generating a py benchmark is the same as generating a C++
      # benchmark target. In the future this may change, so we have
      # two macros just in case
      tf_cc_logged_benchmark(
          name = name,
          target = target,
          benchmarks = benchmarks,
          tags = tags,
          benchmark_type = "python_benchmark",
          **kwargs
      )
  
subject: Change the "deps" of tf_py_logged_benchmark rule from a py_binary to a py_library rule.