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Paddle/doc/design/if_else_op.md

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In an if_op, only inputs with condition satisfied will be run. The op could have multiple inputs and multiple outputs.
We should have the following design:
```python
# A 1-d bool vector
cond = Var()
# create an op
if = pd.if_op()
with if.true_block() as block:
x1 = if.input(x1)
x2 = if.input(x2)
y = pd.add(x1, x2)
y2 = pd.fc(x1) # contains (w,b)
if.output(y)
if.output(y2)
o1, o2 = if(cond)
```
In an if_op, only inputs with condition satisfied will be run.
We should have the following design:
```python
# A 1-d bool vector
cond = Var()
# create an op
if = pd.if_op()
with if.true_block() as block:
x1 = if.input(x1)
x2 = if.input(x2)
y = pd.add(x1, x2)
y2 = pd.fc(x1) # contains (w,b)
if.output(y, name="y")
if.output(y2, name="y2")
with if.false_block() as block:
x1 = if.input(x1)
x2 = if.input(x2)
y = pd.fc(x2)
y2 = pd.softmax(x1)
if.output(y, name="y")
if.output(y2, name="y2")
o1, o2 = if(cond)
```
Some questions:
1. how to know which inputs will be selected by condition?
e.g. True_block():
y = pd.fc(x)
# we will have x, w, b all as inputs
# but only x will be selected by cond, how can the block know?