Add_config_parser_for_Conv3D_DeConv3D

proto/ModelConfig.proto

@@ -489,6 +489,7 @@ message LayerConfig {
   // to indicate rectangle image data
   optional uint64 height = 50;
   optional uint64 width = 51;
+  optional uint64 depth = 57 [ default = 1 ];
 
   // blank label used in ctc loss
   optional uint32 blank = 52 [ default = 0 ];

python/paddle/trainer_config_helpers/networks.py

@@ -1406,7 +1406,7 @@ def inputs(layers, *args):
     if len(args) != 0:
         layers.extend(args)
 
-    Inputs(*[l.name for l in layers])
+    Inputs(* [l.name for l in layers])
 
 
 def outputs(layers, *args):
@@ -1456,7 +1456,7 @@ def outputs(layers, *args):
     assert len(layers) > 0
 
     if HasInputsSet():  # input already set
-        Outputs(*[l.name for l in layers])
+        Outputs(* [l.name for l in layers])
         return  # just return outputs.
 
     if len(layers) != 1:

python/paddle/trainer_config_helpers/tests/configs/conv3d_deconv3d_test_config.py

@@ -0,0 +1,98 @@
+from paddle.trainer_config_helpers import *
+
+settings(batch_size=1000, learning_rate=1e-5)
+
+num_channels = 3
+filter_size = 3
+filter_size_y = 3
+filter_size_z = 3
+stride = 2
+stride_y = 2
+stride_z = 2
+padding = 1
+padding_y = 1
+padding_z = 1
+groups = 1
+
+data = data_layer(
+    name='data1', size=12096 * num_channels, height=48, width=42, depth=6)
+
+conv3d = img_conv3d_layer(
+    input=data,
+    name='conv3d_1',
+    num_filters=16,
+    num_channels=num_channels,
+    filter_size=filter_size,
+    filter_size_y=filter_size,
+    filter_size_z=filter_size,
+    stride=stride,
+    stride_y=stride_y,
+    stride_z=stride_z,
+    padding=padding,
+    padding_y=padding_y,
+    padding_z=padding_z,
+    groups=groups,
+    bias_attr=True,
+    shared_biases=True,
+    trans=False,
+    layer_type="conv3d",
+    act=LinearActivation())
+
+deconv3d = img_conv3d_layer(
+    input=data,
+    name='deconv3d_1',
+    num_filters=16,
+    num_channels=num_channels,
+    filter_size=filter_size,
+    filter_size_y=filter_size,
+    filter_size_z=filter_size,
+    stride=stride,
+    stride_y=stride_y,
+    stride_z=stride_z,
+    padding=padding,
+    padding_y=padding_y,
+    padding_z=padding_z,
+    groups=groups,
+    bias_attr=True,
+    shared_biases=True,
+    trans=True,
+    layer_type="deconv3d",
+    act=LinearActivation())
+
+data = data_layer(name="input", size=8 * 16 * 16)
+conv1 = img_conv_layer(
+    input=data,
+    filter_size=1,
+    filter_size_y=1,
+    num_channels=8,
+    num_filters=16,
+    stride=1,
+    bias_attr=False,
+    act=ReluActivation(),
+    layer_type="exconv")
+conv2 = img_conv_layer(
+    input=data,
+    filter_size=1,
+    filter_size_y=1,
+    num_channels=8,
+    num_filters=16,
+    stride=1,
+    bias_attr=False,
+    act=ReluActivation(),
+    layer_type="exconv")
+
+concat = concat_layer(input=[conv1, conv2])
+
+conv = img_conv_layer(
+    input=data,
+    filter_size=1,
+    filter_size_y=1,
+    num_channels=8,
+    num_filters=16,
+    stride=1,
+    bias_attr=True,
+    act=LinearActivation(),
+    groups=2,
+    layer_type="exconv")
+
+outputs(concat, conv)

python/paddle/trainer_config_helpers/tests/layers_test.py

@@ -16,4 +16,6 @@ from paddle.trainer.config_parser import parse_config_and_serialize
 
 if __name__ == '__main__':
     parse_config_and_serialize(
-        'trainer_config_helpers/tests/layers_test_config.py', '')
+        'trainer_config_helpers/tests/configs/conv3d_deconv3d_test_config.py',
+        '')
+# layers_test_config.py