message: jit: sovle AdaptiveAvgPool2d can't call dnnl path problem
diff: @@ -44,6 +44,6 @@ def max_pool2d(input, kernel_size: Vector, stride: Vector, padding: Vector, dila
  stride = kernel_size
  return torch.ops.torch_ipex.max_pool2d(input, _pair(kernel_size), _pair(stride), _pair(padding), _pair(dilation), ceil_mode)
  -torch._C._nn.adaptive_avg_pool2d = adaptive_avg_pool2d
  +F.adaptive_avg_pool2d = adaptive_avg_pool2d
  torch.max_pool2d = max_pool2d
  torch.max_pool3d = max_pool3d
  