python wrap for resize layer

doc/api/v2/config/layer.rst

@@ -283,6 +283,11 @@ seq_reshape
 ..  autoclass:: paddle.v2.layer.seq_reshape
     :noindex:
 
+resize
+-----------
+..  autoclass:: paddle.v2.layer.resize
+    :noindex:
+
 Math Layers
 ===========
 

python/paddle/trainer_config_helpers/layers.py

@@ -75,6 +75,7 @@
     'bilinear_interp_layer',
     'trans_layer',
     'rotate_layer',
+    'resize_layer',
     'sum_to_one_norm_layer',
     'get_output_layer',
     'LayerType',
@@ -172,6 +173,7 @@ class LayerType(object):
     SCALING_LAYER = 'scaling'
     TRANS_LAYER = 'trans'
     ROTATE_LAYER = 'rotate'
+    RESIZE_LAYER = 'resize'
     OUT_PROD_LAYER = 'out_prod'
     FEATURE_MAP_EXPAND_LAYER = 'featmap_expand'
 
@@ -1933,6 +1935,39 @@ def rotate_layer(input, height, width, name=None, layer_attr=None):
         size=l.config.size)
 
 
+@wrap_name_default()
+@layer_support()
+def resize_layer(input, size, name=None, layer_attr=None):
+    """
+    A layer for resize a minibatch matrix from (input_batch_num x input_size)
+    to (output_batch_num x size). The output_batch_num will be reset to
+    (( input_batch_num x input_size ) / size).
+
+    The example usage is:
+
+    .. code-block:: python
+
+       resize = resize_layer(input=layer, size=size)
+
+    :param input: Input layer.
+    :type input: LayerOutput
+    :size: The size of each output item in the minibatch.
+    :param name: Layer name.
+    :type name: basestring
+    :param layer_attr: extra layer attributes.
+    :type layer_attr: ExtraLayerAttribute
+    :return: LayerOutput object.
+    :rtype: LayerOutput
+    """
+    Layer(
+        name=name,
+        type=LayerType.RESIZE_LAYER,
+        size=size,
+        inputs=[input.name],
+        **ExtraAttr.to_kwargs(layer_attr))
+    return LayerOutput(name, LayerType.RESIZE_LAYER, parents=[input], size=size)
+
+
 @wrap_name_default()
 @layer_support()
 def cos_sim(a, b, scale=1, size=1, name=None, layer_attr=None):

python/paddle/trainer_config_helpers/tests/configs/file_list.sh

@@ -6,6 +6,6 @@ img_layers img_trans_layers util_layers simple_rnn_layers unused_layers test_cos
 test_rnn_group shared_fc shared_lstm shared_gru test_cost_layers_with_weight
 test_spp_layer test_bilinear_interp test_maxout test_bi_grumemory math_ops
 test_seq_concat_reshape test_pad test_smooth_l1 test_multiplex_layer
-test_prelu_layer test_row_conv)
+test_prelu_layer test_row_conv test_resize)
 
 export whole_configs=(test_split_datasource)

python/paddle/trainer_config_helpers/tests/configs/protostr/test_resize.protostr

@@ -0,0 +1,28 @@
+type: "nn"
+layers {
+  name: "input"
+  type: "data"
+  size: 300
+  active_type: ""
+  height: 100
+  width: 3
+}
+layers {
+  name: "__resize_layer_0__"
+  type: "resize"
+  size: 100
+  active_type: ""
+  inputs {
+    input_layer_name: "input"
+  }
+}
+input_layer_names: "input"
+output_layer_names: "__resize_layer_0__"
+sub_models {
+  name: "root"
+  layer_names: "input"
+  layer_names: "__resize_layer_0__"
+  input_layer_names: "input"
+  output_layer_names: "__resize_layer_0__"
+  is_recurrent_layer_group: false
+}

python/paddle/trainer_config_helpers/tests/configs/test_config_parser_for_non_file_config.py

@@ -33,7 +33,7 @@ def main(print_whole_config, globals, locals):
             functionstr = functionstr + "  " + line
 
     cmdstr = cmdstr + importstr + """def configs():\n""" + functionstr
-    #cmdstr = cmdstr + """def configs():\n""" + importstr + functionstr
+
     if print_whole_config:
         cmdstr = cmdstr + """print parse_config(configs, "")"""
     else:

python/paddle/trainer_config_helpers/tests/configs/test_resize.py

@@ -0,0 +1,8 @@
+from paddle.trainer_config_helpers import *
+
+settings(batch_size=1)
+
+data = data_layer(name='input', size=300, height=100, width=3)
+resize = resize_layer(input=data, size=100)
+
+outputs(resize)