Fix typos

applications/neural_search/ranking/cross_encoder/deploy/python/predict.py

@@ -117,7 +117,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/neural_search/ranking/ernie_matching/deploy/python/predict.py

@@ -116,7 +116,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/neural_search/recall/in_batch_negative/deploy/python/predict.py

@@ -114,7 +114,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/neural_search/recall/milvus/feature_extract.py

@@ -81,7 +81,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/neural_search/recall/simcse/deploy/python/predict.py

@@ -116,7 +116,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/question_answering/supervised_qa/faq_finance/feature_extract.py

@@ -95,7 +95,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/question_answering/supervised_qa/faq_system/feature_extract.py

@@ -94,7 +94,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/sentiment_analysis/ASO_analysis/deploy/predict.py

@@ -173,7 +173,7 @@ def create_predictor(self, model_path):
 
         if self.args.device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/hierarchical/deploy/triton_serving/models/seqcls_postprocess/1/model.py

@@ -33,7 +33,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/hierarchical/deploy/triton_serving/models/tokenizer/1/model.py

@@ -35,7 +35,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/hierarchical/retrieval_based/deploy/python/predict.py

@@ -141,7 +141,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/hierarchical/retrieval_based/utils/feature_extract.py

@@ -110,7 +110,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/multi_class/deploy/triton_serving/models/seqcls_postprocess/1/model.py

@@ -33,7 +33,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/multi_class/deploy/triton_serving/models/tokenizer/1/model.py

@@ -35,7 +35,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/multi_class/retrieval_based/data.py

@@ -189,7 +189,7 @@ def get_latest_ann_data(ann_data_dir):
 
     def valid_checkpoint(step):
         ann_data_file = os.path.join(ann_data_dir, step, "new_ann_data")
-        # succed_flag_file is an empty file that indicates ann data has been generated
+        # succeed_flag_file is an empty file that indicates ann data has been generated
         succeed_flag_file = os.path.join(ann_data_dir, step, "succeed_flag_file")
         return os.path.exists(succeed_flag_file) and os.path.exists(ann_data_file)
 

applications/text_classification/multi_class/retrieval_based/deploy/python/predict.py

@@ -141,7 +141,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/multi_class/retrieval_based/evaluate.py

@@ -27,7 +27,7 @@
 parser.add_argument("--recall_result_file", type=str,
                     default='', help="The full path of recall result file")
 parser.add_argument("--recall_num", type=int, default=10,
-                    help="Most similair number of doc recalled from corpus per query")
+                    help="Most similar number of doc recalled from corpus per query")
 
 
 args = parser.parse_args()

applications/text_classification/multi_class/retrieval_based/model.py

@@ -52,7 +52,7 @@ def forward(
 
         cosine_sim = paddle.matmul(query_cls_embedding, title_cls_embedding, transpose_y=True)
 
-        # substract margin from all positive samples cosine_sim()
+        # subtract margin from all positive samples cosine_sim()
         margin_diag = paddle.full(
             shape=[query_cls_embedding.shape[0]], fill_value=self.margin, dtype=paddle.get_default_dtype()
         )

applications/text_classification/multi_class/retrieval_based/train.py

@@ -65,9 +65,9 @@
 parser.add_argument('--device', choices=['cpu', 'gpu'], default="cpu",
                     help="Select which device to train model, defaults to gpu.")
 parser.add_argument('--save_steps', type=int, default=10000,
-                    help="Inteval steps to save checkpoint")
+                    help="Interval steps to save checkpoint")
 parser.add_argument('--log_steps', type=int, default=10,
-                    help="Inteval steps to print log")
+                    help="Interval steps to print log")
 parser.add_argument("--train_set_file", type=str,
                     default='./data/train.txt',
                     help="The full path of train_set_file.")

applications/text_classification/multi_class/retrieval_based/utils/feature_extract.py

@@ -110,7 +110,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/multi_label/deploy/triton_serving/models/seqcls_postprocess/1/model.py

@@ -33,7 +33,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/multi_label/deploy/triton_serving/models/tokenizer/1/model.py

@@ -35,7 +35,7 @@ class TritonPythonModel(object):
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

applications/text_classification/multi_label/retrieval_based/deploy/python/predict.py

@@ -141,7 +141,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

applications/text_classification/multi_label/retrieval_based/utils/feature_extract.py

@@ -111,7 +111,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

examples/information_extraction/waybill_ie/deploy/python/predict_bigru_crf.py

@@ -158,7 +158,7 @@ def __init__(
         config = paddle.inference.Config(model_file, param_file)
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

examples/information_extraction/waybill_ie/deploy/python/predict_ernie.py

@@ -149,7 +149,7 @@ def __init__(
         config = paddle.inference.Config(model_file, param_file)
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

examples/information_extraction/waybill_ie/deploy/python/predict_ernie_crf.py

@@ -149,7 +149,7 @@ def __init__(
         config = paddle.inference.Config(model_file, param_file)
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

examples/text_matching/ernie_matching/deploy/python/predict.py

@@ -97,7 +97,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

model_zoo/ernie-1.0/finetune/deploy/predict_chnsenticorp.py

@@ -72,7 +72,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

model_zoo/ernie-3.0/deploy/serving/models/ernie_seqcls_postprocess/1/model.py

@@ -31,7 +31,7 @@ class TritonPythonModel:
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

model_zoo/ernie-3.0/deploy/serving/models/ernie_seqcls_tokenizer/1/model.py

@@ -33,7 +33,7 @@ class TritonPythonModel:
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

model_zoo/ernie-3.0/deploy/serving/models/ernie_tokencls_postprocess/1/model.py

@@ -31,7 +31,7 @@ class TritonPythonModel:
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

model_zoo/ernie-3.0/deploy/serving/models/ernie_tokencls_tokenizer/1/model.py

@@ -33,7 +33,7 @@ class TritonPythonModel:
     def initialize(self, args):
         """`initialize` is called only once when the model is being loaded.
         Implementing `initialize` function is optional. This function allows
-        the model to intialize any state associated with this model.
+        the model to initialize any state associated with this model.
         Parameters
         ----------
         args : dict

paddlenlp/data/sampler.py

@@ -345,7 +345,7 @@ def shard(self, num_replicas=None, rank=None):
                 Default: None.
             rank (int, optional): The id of current training process. Equal
                 to the value of the environment variable PADDLE_TRAINER_ID. If
-                None, it will be intialized by :meth:`paddle.distributed.get_rank`
+                None, it will be initialized by :meth:`paddle.distributed.get_rank`
                 method. Default: None.
 
         Returns:

tests/test_tipc/ernie_information_extraction/predict.py

@@ -138,7 +138,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

tests/test_tipc/ernie_text_cls/predict.py

@@ -105,7 +105,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,

tests/test_tipc/ernie_text_matching/predict.py

@@ -69,7 +69,7 @@ def __init__(
 
         if device == "gpu":
             # set GPU configs accordingly
-            # such as intialize the gpu memory, enable tensorrt
+            # such as initialize the gpu memory, enable tensorrt
             config.enable_use_gpu(100, 0)
             precision_map = {
                 "fp16": inference.PrecisionType.Half,