use all fuse_and_eliminate passes as default passes for optimize (#124)

Signed-off-by: haoshengqiang <haoshengqiang79@163.com>

Author: HSQ79815

onnxoptimizer/__init__.py

@@ -34,11 +34,7 @@ def optimize(model, passes=None, fixed_point=False):  # type: (ModelProto, Optio
     """
 
     if passes is None:
-        print('WARNING: defualt optimization passes will be enlarged to all fuse and elimination passes in the next version')
-        passes = ['eliminate_nop_transpose',
-                  'eliminate_nop_pad',
-                  'fuse_consecutive_transposes',
-                  'fuse_transpose_into_gemm']
+        passes = get_fuse_and_elimination_passes()
     if not isinstance(model, ModelProto):
         raise ValueError(
             'Optimizer only accepts ModelProto, incorrect type: {}'.format(type(model)))