fix cn doc of prroi_pool and NumpyArrayInitializer api,test=develop (#2255)

doc/fluid/api_cn/initializer_cn/NumpyArrayInitializer_cn.rst

@@ -22,8 +22,9 @@ NumpyArrayInitializer
 .. code-block:: python
 
     import paddle.fluid as fluid
-    x = fluid.layers.data(name="x", shape=[5], dtype='float32')
-    fc = fluid.layers.fc(input=x, size=10,
+    import numpy
+    x1 = fluid.data(name="x1", shape=[2, 1], dtype='float32')
+    fc = fluid.layers.fc(input=x1, size=10,
         param_attr=fluid.initializer.NumpyArrayInitializer(numpy.array([1,2])))
 
 

doc/fluid/api_cn/layers_cn/prroi_pool_cn.rst

@@ -34,10 +34,18 @@ PRROIPool运算
 
 .. code-block:: python
 
+    ## prroi_pool without batch_roi_num
     import paddle.fluid as fluid
-    x = fluid.layers.data(name='x', shape=[490, 28, 28], dtype='float32')
-    rois = fluid.layers.data(name='rois', shape=[4], lod_level=1, dtype='float32')
-    pool_out = fluid.layers.prroi_pool(x, rois, 10, 1.0, 7, 7)
+    x = fluid.data(name='x', shape=[None, 490, 28, 28], dtype='float32')
+    rois = fluid.data(name='rois', shape=[None, 4], lod_level=1, dtype='float32')
+    pool_out = fluid.layers.prroi_pool(x, rois, 1.0, 7, 7)
+
+    ## prroi_pool with batch_roi_num
+    batchsize=4
+    x2 = fluid.data(name='x2', shape=[batchsize, 490, 28, 28], dtype='float32')
+    rois2 = fluid.data(name='rois2', shape=[batchsize, 4], dtype='float32')
+    batch_rois_num = fluid.data(name='rois_nums', shape=[batchsize], dtype='int64')
+    pool_out2 = fluid.layers.prroi_pool(x2, rois2, 1.0, 7, 7, batch_roi_nums=batch_rois_num)