TypeError: conv2d() got an unexpected keyword argument 'dilations'

[Lvhhhh]

when i run the python3 train.py the error occurs . it is: [2019-01-15 07:49:19 @init.py:79] Set root logger. Unset logger with neuralgym.unset_logger(). [2019-01-15 07:49:19 @init.py:80] Saving logging to file: neuralgym_logs/20190115074918983527. [2019-01-15 07:49:19 @config.py:92] ---------------------------------- APP CONFIG ---------------------------------- [2019-01-15 07:49:19 @config.py:119] WGAN_GP_LAMBDA: 10 [2019-01-15 07:49:19 @config.py:119] RANDOM_CROP: False [2019-01-15 07:49:19 @config.py:119] FEATURE_LOSS: False [2019-01-15 07:49:19 @config.py:119] VAL: True [2019-01-15 07:49:19 @config.py:119] L1_LOSS: True [2019-01-15 07:49:19 @config.py:119] MASKFROMFILE: False [2019-01-15 07:49:19 @config.py:119] LOG_DIR: places2_256 [2019-01-15 07:49:19 @config.py:119] MASKDATASET: irrmask [2019-01-15 07:49:19 @config.py:119] SPATIAL_DISCOUNTING_GAMMA: 0.9 [2019-01-15 07:49:19 @config.py:119] GAN_WITH_GUIDE: False [2019-01-15 07:49:19 @config.py:119] DATASET: places2 [2019-01-15 07:49:19 @config.py:119] FEATURE_LOSS_ALPHA: 0.01 [2019-01-15 07:49:19 @config.py:119] DISCOUNTED_MASK: True [2019-01-15 07:49:19 @config.py:119] HORIZONTAL_MARGIN: 0 [2019-01-15 07:49:19 @config.py:119] GAN: sn_pgan [2019-01-15 07:49:19 @config.py:119] MODEL_RESTORE: [2019-01-15 07:49:19 @config.py:119] GRAMS_LOSS_ALPHA: 50 [2019-01-15 07:49:19 @config.py:119] TRAIN_SPE: 10000 [2019-01-15 07:49:19 @config.py:119] AE_LOSS_ALPHA: 1.2 [2019-01-15 07:49:19 @config.py:119] WIDTH: 128 [2019-01-15 07:49:19 @config.py:119] VIZ_MAX_OUT: 10 [2019-01-15 07:49:19 @config.py:119] GRADIENT_CLIP: False [2019-01-15 07:49:19 @config.py:119] MAXBRUSHWIDTH: 10 [2019-01-15 07:49:19 @config.py:119] GPU_ID: 3 [2019-01-15 07:49:19 @config.py:119] LOAD_VGG_MODEL: False [2019-01-15 07:49:19 @config.py:119] MAXLENGTH: 40 [2019-01-15 07:49:19 @config.py:119] NUM_GPUS: 1 [2019-01-15 07:49:19 @config.py:119] TV_LOSS_ALPHA: 0.0 [2019-01-15 07:49:19 @config.py:119] PADDING: SAME [2019-01-15 07:49:19 @config.py:119] MAX_ITERS: 1000000 [2019-01-15 07:49:19 @config.py:119] MAX_DELTA_WIDTH: 32 [2019-01-15 07:49:19 @config.py:119] GLOBAL_DCGAN_LOSS_ALPHA: 1.0 [2019-01-15 07:49:19 @config.py:119] COARSE_L1_ALPHA: 1.2 [2019-01-15 07:49:19 @config.py:119] VAL_PSTEPS: 1000 [2019-01-15 07:49:19 @config.py:119] GAN_LOSS_ALPHA: 0.001 [2019-01-15 07:49:19 @config.py:111] DATA_FLIST: [2019-01-15 07:49:19 @config.py:119] celebahq: ['data/celeba_hq/train_shuffled.flist', 'data/celeba_hq/validation_static_view.flist'] [2019-01-15 07:49:19 @config.py:119] horse_mask: ['/unsullied/sharefs/linhangyu/Inpainting/Data/VOCData/voc_horse_bbox_train_flist.txt', '/unsullied/sharefs/linhangyu/Inpainting/Data/VOCData/voc_horse_bbox_val_flist.txt'] [2019-01-15 07:49:19 @config.py:119] horse: ['/unsullied/sharefs/linhangyu/Inpainting/Data/VOCData/voc_horse_train_flist.txt', '/unsullied/sharefs/linhangyu/Inpainting/Data/VOCData/voc_horse_val_flist.txt'] [2019-01-15 07:49:19 @config.py:119] celeba: ['data/celeba/train_shuffled.flist', 'data/celeba/validation_static_view.flist'] [2019-01-15 07:49:19 @config.py:119] places2: ['/data/data_256/place_train.list', '/data/data_256/place_val.flist'] [2019-01-15 07:49:19 @config.py:119] imagenet: ['data/imagenet/train_shuffled.flist', 'data/imagenet/validation_static_view.flist'] [2019-01-15 07:49:19 @config.py:119] irrmask: ['../Data/MaskData/irrmask_flist.txt', '../Data/MaskData/irrmask_flist.txt'] [2019-01-15 07:49:19 @config.py:119] RANDOM_SEED: False [2019-01-15 07:49:19 @config.py:119] MAX_DELTA_HEIGHT: 32 [2019-01-15 07:49:19 @config.py:119] BATCH_SIZE: 16 [2019-01-15 07:49:19 @config.py:119] GRAMS_LOSS: False [2019-01-15 07:49:19 @config.py:119] PRETRAIN_COARSE_NETWORK: False [2019-01-15 07:49:19 @config.py:119] L1_LOSS_ALPHA: 1.2 [2019-01-15 07:49:19 @config.py:119] VERTICAL_MARGIN: 0 [2019-01-15 07:49:19 @config.py:119] HEIGHT: 128 [2019-01-15 07:49:19 @config.py:119] AE_LOSS: True [2019-01-15 07:49:19 @config.py:119] TV_LOSS: False [2019-01-15 07:49:19 @config.py:119] GAN_WITH_MASK: True [2019-01-15 07:49:19 @config.py:119] IMG_SHAPES: [256, 256, 3] [2019-01-15 07:49:19 @config.py:119] GRADIENT_CLIP_VALUE: 0.1 [2019-01-15 07:49:19 @config.py:119] STATIC_VIEW_SIZE: 30 [2019-01-15 07:49:19 @config.py:119] MAXVERTEX: 5 [2019-01-15 07:49:19 @config.py:119] VGG_MODEL_FILE: data/model_zoo/vgg16.npz [2019-01-15 07:49:19 @config.py:119] GLOBAL_WGAN_LOSS_ALPHA: 1.0 [2019-01-15 07:49:19 @config.py:119] GRADS_SUMMARY: False [2019-01-15 07:49:19 @config.py:119] MAXANGLE: 4.0 [2019-01-15 07:49:19 @config.py:94] -------------------------------------------------------------------------------- [2019-01-15 07:49:19 @gpus.py:20] Set env: CUDA_VISIBLE_DEVICES=[3]. [2019-01-15 07:49:20 @dataset.py:26] --------------------------------- Dataset Info --------------------------------- [2019-01-15 07:49:20 @dataset.py:36] nthreads: 8 [2019-01-15 07:49:20 @dataset.py:36] file_length: 1599999 [2019-01-15 07:49:20 @dataset.py:36] enqueue_size: 32 [2019-01-15 07:49:20 @dataset.py:36] filetype: image [2019-01-15 07:49:20 @dataset.py:36] random_crop: False [2019-01-15 07:49:20 @dataset.py:36] fn_preprocess: None [2019-01-15 07:49:20 @dataset.py:36] return_fnames: False [2019-01-15 07:49:20 @dataset.py:36] queue_size: 256 [2019-01-15 07:49:20 @dataset.py:36] dtypes: [tf.float32] [2019-01-15 07:49:20 @dataset.py:36] random: False [2019-01-15 07:49:20 @dataset.py:36] index: 0 [2019-01-15 07:49:20 @dataset.py:36] shapes: [[256, 256, 3]] [2019-01-15 07:49:20 @dataset.py:36] batch_phs: [<tf.Tensor 'Placeholder:0' shape=(?, 256, 256, 3) dtype=float32>] [2019-01-15 07:49:20 @dataset.py:37] -------------------------------------------------------------------------------- [2019-01-15 07:49:24 @inpaint_model_gc.py:167] Set batch_predicted to x2. Traceback (most recent call last): File "train.py", line 79, in images, masks, guides, config=config) File "/code/GatedConvolution-master/inpaint_model_gc.py", line 219, in build_graph_with_losses pos_neg = self.build_sn_pgan_discriminator(batch_pos_neg, training=training, reuse=reuse) File "/code/GatedConvolution-master/inpaint_model_gc.py", line 134, in build_sn_pgan_discriminator x = gen_snconv(x, cnum, 5, 2, name='conv1', training=training) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args return func(*args, **current_args) File "/code/GatedConvolution-master/inpaint_ops.py", line 105, in gen_snconv strides=[1, stride, stride, 1], dilations=[1, rate, rate, 1], padding=padding, name=name) TypeError: conv2d() got an unexpected keyword argument 'dilations'

the tensorflow is 1.4.0