From b1e4553f2db5bd0da7d2fca09b95a748a9c94a38 Mon Sep 17 00:00:00 2001 From: Qiao Longfei Date: Wed, 12 Dec 2018 19:27:35 +0800 Subject: [PATCH] ctr support python 3 --- fluid/PaddleRec/ctr/network_conf.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/fluid/PaddleRec/ctr/network_conf.py b/fluid/PaddleRec/ctr/network_conf.py index fa7dc11b..54dd8559 100644 --- a/fluid/PaddleRec/ctr/network_conf.py +++ b/fluid/PaddleRec/ctr/network_conf.py @@ -78,7 +78,7 @@ def ctr_deepfm_model(factor_size, sparse_feature_dim, dense_feature_dim, sparse_ param_attr=sparse_fm_param_attr, is_sparse=True) return fluid.layers.sequence_pool(input=emb, pool_type='average') - sparse_embed_seq = map(embedding_layer, sparse_input_ids) + sparse_embed_seq = list(map(embedding_layer, sparse_input_ids)) concated = fluid.layers.concat(sparse_embed_seq + [dense_input], axis=1) fc1 = fluid.layers.fc(input=concated, size=400, act='relu', param_attr=fluid.ParamAttr(initializer=fluid.initializer.Normal( @@ -134,7 +134,7 @@ def ctr_dnn_model(embedding_size, sparse_feature_dim): use_double_buffer=True) words = fluid.layers.read_file(py_reader) - sparse_embed_seq = map(embedding_layer, words[1:-1]) + sparse_embed_seq = list(map(embedding_layer, words[1:-1])) concated = fluid.layers.concat(sparse_embed_seq + words[0:1], axis=1) fc1 = fluid.layers.fc(input=concated, size=400, act='relu', -- GitLab