Rewrited the OpInfer as a class with functions "infer_shape","infer_type"
and "infer_format". Used op name to find the subclass that have implemented
these functions. Two common class "_Elemwise" and "_Reduce" was provided.

Op BiasAddGrad supported "FractalNZ" format.

From: @zhoufeng54
Reviewed-by: @kisnwang,@xu-yfei
Signed-off-by: @xu-yfei

Signed-off-by: zhoufeng <zhoufeng54@huawei.com>

From: @zhangbuxue
Reviewed-by: @ginfung,@zh_qh
Signed-off-by: @zh_qh

From: @dayschan
Reviewed-by: 
Signed-off-by:

From: @zhoufeng54
Reviewed-by: @xu-yfei,@kisnwang
Signed-off-by: @xu-yfei

Changed the expander to class, and used the class name to identify the operator.
Moved the original op logic into the `_expand` function; added a `_check` function to check op inputs.

Use decorator to register the whitelist formats that operator supports,
and the decorator will change the `_check` function to check the formats.

The basic idea is: exploits data dependency to control the execution order
of side-effect operations, and keep the semantics of ANF unchanged.

The ControlDepend primitive is removed and there are two primitives added:

1. UpdateState:
```
  a = Assign(para, value)
```
became:
```
  a = Assign(para, value, u)
  u = UpdateState(u, a)
```

2. Load:
```
  x = Add(para, value)
```
became:
```
  p = Load(para, u)
  x = Add(p, value)
  u = UpdateState(u, p)
```

Decoupled from the front-end interfaces.
1. Removed the call to "Renormalize".
   Completed the infer-format in model_builder.
   Only used the device shape and device format to
   infer an abstract shape without considering padding.
2. Removed the call to python's Primitive interfaces.
   The "Renormalize" relies on the PrimitivePy, so they can be
   removed together. After that, the functions "ConstAttrToInput",
   "DeleteAttrInInput" and related can be removed.
3. Reuse the AkgKernelJsonGenerator in GraphKernelExpander.
   1) set the attribute "extract_opinfo_from_anf" to true, so that
   the generator can handle the basic operator with anf info.
   2) added a function "extract_expand_info" in expander.py
   to convert the json into a more friendly format. The attrs
   was converted to a dict instead of a list.
4. Scalars only support DefaultFormat.
   Removed the argument "format" from graph_builder.value
5. Moved the expander op list from graph_kernel_helper.cc to graph_kernel_expander.cc

From: @shenwei41
Reviewed-by: 
Signed-off-by:

model converter

Signed-off-by: zhoufeng <zhoufeng54@huawei.com>

From: @dayschan
Reviewed-by: @gaoxiong1,@dylangeng
Signed-off-by: @gaoxiong1

From: @zhangbuxue
Reviewed-by: @ginfung,@zh_qh
Signed-off-by: @zh_qh

From: @r1chardf1d0
Reviewed-by: 
Signed-off-by:

From: @liangzhibo
Reviewed-by: @ginfung,@zh_qh
Signed-off-by: @zh_qh

From: @yuan_shen_zhou
Reviewed-by: @liangchenghui
Signed-off-by: @liangchenghui

1. added a pass to replace Assign with InplaceAssign.
2. bugfix in eliminate_redundant_output. the side-effect node should not be eliminated.
3. bugfix in graph_kernel/splitter.py, the kernel includes InplaceAssign should be a composite node.
4. added two tool functions GetAllInputDeviceTypes and GetAllOutputDeviceTypes into AnfAlgo.
5. do not fuse a single Assign in pass BasicOpsFusion.

From: @liubuyu
Reviewed-by: 
Signed-off-by:

From: @liubuyu
Reviewed-by: @zhoufeng54,@jjfeing
Signed-off-by: @jjfeing

From: @yanglf1121
Reviewed-by: 
Signed-off-by:

From: @yanglf1121
Reviewed-by: 
Signed-off-by:

From: @zhangbuxue
Reviewed-by: 
Signed-off-by:

From: @gaoxiong1
Reviewed-by: @ryanww,@anyrenwei,@dylangeng
Signed-off-by: @anyrenwei,@dylangeng

From: @liubuyu
Reviewed-by: @kisnwang,@zhoufeng54
Signed-off-by: @zhoufeng54