message: Increase tolerance in linalg_grad_test to fix
  Fixes
diff: @@ -120,7 +120,7 @@ def _GetMatrixBinaryFunctorGradientTest(functor_,
  delta = epsilon**(1.0 / 3.0)
  # tolerance obtained by looking at actual differences using
  # np.linalg.norm(theoretical-numerical, np.inf) on -mavx build
  - tol = 1e-6 if dtype_ == np.float64 else float32_tol_fudge * 0.04
  + tol = 1e-6 if dtype_ == np.float64 else float32_tol_fudge * 0.05
  # The gradients for a and b may be of very different magnitudes,
  # so to not get spurious failures we test them separately.
  for factor, factor_init in [a, a_np], [b, b_np]:
  