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)
```

Merge pull request !7339 from qujianwei/master

Tensor.from_numpy() should return mindspore.Tensor not _c_expression.Tensor.

Problem: Create 'uint8' type tensor from float data raise RuntimeError;
Fix:  Use same internal data type for 'uint8' and 'bool' tensor and allows
convert float data to bool tensor.

Signed-off-by: candanzg <zhangshucheng@huawei.com>

Signed-off-by: leonwanghui <leon.wanghui@huawei.com>