fix layers_test.py

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

@@ -9,6 +9,6 @@ test_seq_concat_reshape test_pad test_smooth_l1 test_multiplex_layer
 test_prelu_layer test_row_conv test_detection_output_layer test_multibox_loss_layer
 test_recursive_topology test_gated_unit_layer test_clip_layer test_row_l2_norm_layer
 test_kmax_seq_socre_layer test_seq_select_layers test_scale_shift_layer
-test_seq_slice_layer)
+test_seq_slice_layer test_conv3d_layer test_deconv3d_layer)
 
 export whole_configs=(test_split_datasource)

python/paddle/trainer_config_helpers/tests/configs/conv3d_deconv3d_test_config.py → python/paddle/trainer_config_helpers/tests/configs/test_conv3d_layer.py

@@ -14,18 +14,6 @@ padding_y = 1
 padding_z = 1
 groups = 1
 
-data1 = data_layer(name='data1', size=2016 * num_channels, height=48, width=42)
-
-img_conv_layer(
-    input=data1,
-    filter_size=filter_size,
-    num_channels=num_channels,
-    num_filters=16,
-    stride=stride,
-    padding=padding,
-    act=LinearActivation(),
-    bias_attr=False)
-
 data = data_layer(
     name='data', size=12096 * num_channels, height=48, width=42, depth=6)
 # first
@@ -58,34 +46,4 @@ conv3d_2 = img_conv3d_layer(
     trans=False,
     layer_type="conv3d",
     act=LinearActivation())
-
-# first
-deconv3d_1 = img_conv3d_layer(
-    input=data,
-    name='deconv3d_1',
-    num_filters=16,
-    num_channels=num_channels,
-    filter_size=filter_size,
-    stride=stride,
-    padding=padding,
-    groups=groups,
-    bias_attr=True,
-    shared_biases=True,
-    trans=False,
-    layer_type="deconv3d",
-    act=LinearActivation())
-# second
-deconv3d_2 = img_conv3d_layer(
-    input=data,
-    name='deconv3d_2',
-    num_filters=16,
-    num_channels=num_channels,
-    filter_size=[filter_size, filter_size_y, filter_size_z],
-    stride=[stride, stride_y, stride_z],
-    padding=[padding, padding_y, padding_z],
-    groups=groups,
-    bias_attr=True,
-    shared_biases=True,
-    trans=False,
-    layer_type="deconv3d",
-    act=LinearActivation())
+outputs(conv3d_2)

python/paddle/trainer_config_helpers/tests/configs/test_deconv3d_layer.py

+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='data', size=12096 * num_channels, height=48, width=42, depth=6)
+
+# first
+deconv3d_1 = img_conv3d_layer(
+    input=data,
+    name='deconv3d_1',
+    num_filters=16,
+    num_channels=num_channels,
+    filter_size=filter_size,
+    stride=stride,
+    padding=padding,
+    groups=groups,
+    bias_attr=True,
+    shared_biases=True,
+    trans=True,
+    layer_type="deconv3d",
+    act=LinearActivation())
+# second
+deconv3d_2 = img_conv3d_layer(
+    input=data,
+    name='deconv3d_2',
+    num_filters=16,
+    num_channels=num_channels,
+    filter_size=[filter_size, filter_size_y, filter_size_z],
+    stride=[stride, stride_y, stride_z],
+    padding=[padding, padding_y, padding_z],
+    groups=groups,
+    bias_attr=True,
+    shared_biases=True,
+    trans=True,
+    layer_type="deconv3d",
+    act=LinearActivation())
+outputs(deconv3d_2)

python/paddle/trainer_config_helpers/tests/layers_test.py

@@ -16,6 +16,5 @@ from paddle.trainer.config_parser import parse_config_and_serialize
 
 if __name__ == '__main__':
     parse_config_and_serialize(
-        'trainer_config_helpers/tests/configs/conv3d_deconv3d_test_config.py',
-        '')
+        'trainer_config_helpers/tests/layers_test_config.py', '')
 # layers_test_config.py