IfOp should have only one branch. An IfOp operator takes a cond
variable whose value must be a vector of N boolean elements. Its return value has M (M<=N) instances, each corresponds to a true element in cond
.
import paddle as pd
-
-x = var()
-y = var()
-cond = var()
-
-b = pd.create_ifop(inputs=[x], output_num=1)
-with b.true_block():
- x = b.inputs(0)
- z = operator.add(x, y)
- b.set_output(0, operator.softmax(z))
-
-out = b(cond)
-
If we want the output still has N instances, we can use IfElseOp with a default value, whose minibatch size must be N:
+IfOp should have only one branch. An IfOp operator takes a cond
variable whose value must be a vector of N boolean elements. Its return value has N instances. If cond[i] == True, input instance input[i] will go through true_block() and generate output[i]; otherwise it will produce output from false_bloack().
import paddle as pd
x = var()
@@ -214,7 +198,7 @@
out = b(cond)
If only true_block is set in an IfElseOp, we can have a default value for false as:
+If only true_block is set in an IfElseOp, a special case is that we can have a default value for false as:
import paddle as pd
x = var()
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index b930d70dedd09d4486f630df650f2b02f3074389..aa32a122aca8cb6613300c4695e2630a814574d7 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/design/if_else_op.md.txt b/develop/doc_cn/_sources/design/if_else_op.md.txt
index 7370c2a24fa644a64e738f202bac9b9209642e08..954a19c0733358c235eae3cffe134c23dac94c95 100644
--- a/develop/doc_cn/_sources/design/if_else_op.md.txt
+++ b/develop/doc_cn/_sources/design/if_else_op.md.txt
@@ -1,22 +1,4 @@
-IfOp should have only one branch. An IfOp operator takes a `cond` variable whose value must be a vector of N boolean elements. Its return value has M (M<=N) instances, each corresponds to a true element in `cond`.
-
-```python
-import paddle as pd
-
-x = var()
-y = var()
-cond = var()
-
-b = pd.create_ifop(inputs=[x], output_num=1)
-with b.true_block():
- x = b.inputs(0)
- z = operator.add(x, y)
- b.set_output(0, operator.softmax(z))
-
-out = b(cond)
-```
-
-If we want the output still has N instances, we can use IfElseOp with a default value, whose minibatch size must be N:
+IfOp should have only one branch. An IfOp operator takes a `cond` variable whose value must be a vector of N boolean elements. Its return value has N instances. If cond[i] == True, input instance input[i] will go through true_block() and generate output[i]; otherwise it will produce output from false_bloack().
```python
import paddle as pd
@@ -39,7 +21,7 @@ with b.false_block():
out = b(cond)
```
-If only true_block is set in an IfElseOp, we can have a default value for false as:
+If only true_block is set in an IfElseOp, a special case is that we can have a default value for false as:
```python
import paddle as pd
diff --git a/develop/doc_cn/design/if_else_op.html b/develop/doc_cn/design/if_else_op.html
index be9d96a5dd8928a17672b59a3b8628cf60a39744..f9d4e7f78833143fee5400b77791279d273ff91f 100644
--- a/develop/doc_cn/design/if_else_op.html
+++ b/develop/doc_cn/design/if_else_op.html
@@ -184,23 +184,7 @@
- IfOp should have only one branch. An IfOp operator takes a cond
variable whose value must be a vector of N boolean elements. Its return value has M (M<=N) instances, each corresponds to a true element in cond
.
-import paddle as pd
-
-x = var()
-y = var()
-cond = var()
-
-b = pd.create_ifop(inputs=[x], output_num=1)
-with b.true_block():
- x = b.inputs(0)
- z = operator.add(x, y)
- b.set_output(0, operator.softmax(z))
-
-out = b(cond)
-
-
-If we want the output still has N instances, we can use IfElseOp with a default value, whose minibatch size must be N:
+ IfOp should have only one branch. An IfOp operator takes a cond
variable whose value must be a vector of N boolean elements. Its return value has N instances. If cond[i] == True, input instance input[i] will go through true_block() and generate output[i]; otherwise it will produce output from false_bloack().
import paddle as pd
x = var()
@@ -221,7 +205,7 @@
out = b(cond)
-If only true_block is set in an IfElseOp, we can have a default value for false as:
+If only true_block is set in an IfElseOp, a special case is that we can have a default value for false as:
import paddle as pd
x = var()
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index 248462a4fc1e800f0aff7f901f026fb9fe80c0c5..49677a1ea55ef71ba549102fb1f4ddd4773e7658 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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