!1693 lstm_crf model dev

Merge pull request !1693 from sun_zhongqian/master

research/nlp/lstm_crf/default_config.yaml

@@ -45,10 +45,10 @@ AdamWeightDecay:
 preprocess: 'false'
 data_CoNLL_path: "./data/CoNLL2000"
 glove_path: "./data/glove"
+preprocess_path: "/preprocess"
 ckpt_path: 'lstm_crf-15_446.ckpt'
 pre_trained: '' # None
 device_num: 1
-distribute: "false"
 enable_graph_kernel: "true"
 
 
@@ -57,6 +57,12 @@ ckpt_file: './ckpt_lstm/lstm_crf.ckpt'
 file_name: "lstm_crf"
 file_format: "MINDIR"
 
+# LSTM_CRF Postprocess
+label_dir: ''
+result_dir: "./result_Files"
+
+# preprocess
+result_path: './preprocess_Result/'
 
 ---
 # Config description for each option
@@ -69,9 +75,10 @@ output_path: 'Training output path for local'
 preprocess: 'whether to preprocess data.'
 data_CoNLL_path: 'path where the dataset is stored.'
 glove_path: 'path where the GloVe is stored.'
+preprocess_path: 'path where the pre-process data is stored.'
 ckpt_path: 'the path to save the checkpoint file.'
 pre_trained: 'the pretrained checkpoint file path.'
-device_target: 'the target device to run, support "GPU", "CPU". Default: "Ascend".'
+device_target: 'the target device to run, "CPU". Default: "Ascend".'
 device_num: 'Use device nums, default is 1.'
 enable_graph_kernel: 'Accelerate by graph kernel, default is true.'
 

research/nlp/lstm_crf/src/LSTM.py

@@ -25,13 +25,6 @@ STACK_LSTM_DEVICE = ["CPU"]
 
 
 # Initialize short-term memory (h) and long-term memory (c) to 0
-def lstm_default_state(batch_size, hidden_size, num_layers, bidirectional):
-    """init default input."""
-    num_directions = 2 if bidirectional else 1
-    h = Tensor(np.zeros((num_layers * num_directions, batch_size, hidden_size)).astype(np.float32))
-    c = Tensor(np.zeros((num_layers * num_directions, batch_size, hidden_size)).astype(np.float32))
-    return h, c
-
 def stack_lstm_default_state(batch_size, hidden_size, num_layers, bidirectional):
     """init default input."""
     num_directions = 2 if bidirectional else 1