message: This CL fixes a bug in the eager benchmarks test that caused the defun tests to execute a different-sized matrix multiply than the eager tests.
diff: @@ -353,7 +353,7 @@ class MicroBenchmarks(test.Benchmark):
  num_iters,
  execution_mode=None):
  f = function.defun(math_ops.matmul)
  - func = lambda: f(m, m, transpose_b)
  + func = lambda: f(m, m, transpose_b=transpose_b)
  self._run(func, num_iters, execution_mode=execution_mode)
  def _benchmark_defun_matmul_forward_backward(self,
  @@ -366,7 +366,7 @@ class MicroBenchmarks(test.Benchmark):
  def func():
  with backprop.GradientTape() as gt:
  gt.watch(m)
  - y = f(m, m, transpose_b)
  + y = f(m, m, transpose_b=transpose_b)
  _ = gt.gradient(y, m)
  self._run(func, num_iters, execution_mode=execution_mode)
  