From d6a677b14bcfd56b22fafeb212a27c6068886e07 Mon Sep 17 00:00:00 2001 From: Genta Indra Winata Date: Wed, 8 Jan 2020 00:21:23 +0800 Subject: [PATCH] Fix typograpical errors (#2438) --- src/transformers/modeling_albert.py | 2 +- src/transformers/modeling_bert.py | 2 +- src/transformers/modeling_ctrl.py | 2 +- src/transformers/modeling_gpt2.py | 2 +- src/transformers/modeling_openai.py | 2 +- src/transformers/modeling_t5.py | 2 +- src/transformers/modeling_tf_albert.py | 2 +- src/transformers/modeling_tf_bert.py | 2 +- src/transformers/modeling_tf_ctrl.py | 2 +- src/transformers/modeling_tf_gpt2.py | 2 +- src/transformers/modeling_tf_openai.py | 2 +- src/transformers/modeling_tf_roberta.py | 2 +- src/transformers/modeling_tf_t5.py | 2 +- src/transformers/modeling_tf_transfo_xl.py | 2 +- src/transformers/modeling_tf_xlm.py | 2 +- src/transformers/modeling_tf_xlnet.py | 2 +- src/transformers/modeling_transfo_xl.py | 2 +- src/transformers/modeling_xlm.py | 2 +- src/transformers/modeling_xlnet.py | 4 ++-- src/transformers/tokenization_utils.py | 2 +- templates/adding_a_new_model/modeling_tf_xxx.py | 2 +- templates/adding_a_new_model/modeling_xxx.py | 2 +- 22 files changed, 23 insertions(+), 23 deletions(-) diff --git a/src/transformers/modeling_albert.py b/src/transformers/modeling_albert.py index c663b7b8ec8..dea35e695e3 100644 --- a/src/transformers/modeling_albert.py +++ b/src/transformers/modeling_albert.py @@ -355,7 +355,7 @@ class AlbertTransformer(nn.Module): class AlbertPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = AlbertConfig diff --git a/src/transformers/modeling_bert.py b/src/transformers/modeling_bert.py index 96c5c94d9d2..49f67e44168 100644 --- a/src/transformers/modeling_bert.py +++ b/src/transformers/modeling_bert.py @@ -521,7 +521,7 @@ class BertPreTrainingHeads(nn.Module): class BertPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = BertConfig diff --git a/src/transformers/modeling_ctrl.py b/src/transformers/modeling_ctrl.py index d069209a488..e2aebed8c80 100644 --- a/src/transformers/modeling_ctrl.py +++ b/src/transformers/modeling_ctrl.py @@ -163,7 +163,7 @@ class EncoderLayer(torch.nn.Module): class CTRLPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = CTRLConfig diff --git a/src/transformers/modeling_gpt2.py b/src/transformers/modeling_gpt2.py index 7f8d1454de8..54db1cc0677 100644 --- a/src/transformers/modeling_gpt2.py +++ b/src/transformers/modeling_gpt2.py @@ -240,7 +240,7 @@ class Block(nn.Module): class GPT2PreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = GPT2Config diff --git a/src/transformers/modeling_openai.py b/src/transformers/modeling_openai.py index ad861ddc98e..d8c5abc92e3 100644 --- a/src/transformers/modeling_openai.py +++ b/src/transformers/modeling_openai.py @@ -257,7 +257,7 @@ class Block(nn.Module): class OpenAIGPTPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = OpenAIGPTConfig diff --git a/src/transformers/modeling_t5.py b/src/transformers/modeling_t5.py index 459e49d0b2d..0f9bd679fc9 100644 --- a/src/transformers/modeling_t5.py +++ b/src/transformers/modeling_t5.py @@ -446,7 +446,7 @@ class T5Block(nn.Module): class T5PreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = T5Config diff --git a/src/transformers/modeling_tf_albert.py b/src/transformers/modeling_tf_albert.py index 538fdf44b08..a560b5f52ee 100644 --- a/src/transformers/modeling_tf_albert.py +++ b/src/transformers/modeling_tf_albert.py @@ -435,7 +435,7 @@ class TFAlbertTransformer(tf.keras.layers.Layer): class TFAlbertPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = AlbertConfig diff --git a/src/transformers/modeling_tf_bert.py b/src/transformers/modeling_tf_bert.py index 9b56a877ef8..8caac123095 100644 --- a/src/transformers/modeling_tf_bert.py +++ b/src/transformers/modeling_tf_bert.py @@ -576,7 +576,7 @@ class TFBertMainLayer(tf.keras.layers.Layer): class TFBertPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = BertConfig diff --git a/src/transformers/modeling_tf_ctrl.py b/src/transformers/modeling_tf_ctrl.py index bb4c4a6a7fc..72f187f68e1 100644 --- a/src/transformers/modeling_tf_ctrl.py +++ b/src/transformers/modeling_tf_ctrl.py @@ -344,7 +344,7 @@ class TFCTRLMainLayer(tf.keras.layers.Layer): class TFCTRLPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = CTRLConfig diff --git a/src/transformers/modeling_tf_gpt2.py b/src/transformers/modeling_tf_gpt2.py index 927f4fd9126..a1b38c6f7d5 100644 --- a/src/transformers/modeling_tf_gpt2.py +++ b/src/transformers/modeling_tf_gpt2.py @@ -360,7 +360,7 @@ class TFGPT2MainLayer(tf.keras.layers.Layer): class TFGPT2PreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = GPT2Config diff --git a/src/transformers/modeling_tf_openai.py b/src/transformers/modeling_tf_openai.py index ced36af25b5..4a17aa01bfc 100644 --- a/src/transformers/modeling_tf_openai.py +++ b/src/transformers/modeling_tf_openai.py @@ -346,7 +346,7 @@ class TFOpenAIGPTMainLayer(tf.keras.layers.Layer): class TFOpenAIGPTPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = OpenAIGPTConfig diff --git a/src/transformers/modeling_tf_roberta.py b/src/transformers/modeling_tf_roberta.py index 0e33d2bdbe9..75241c5a358 100644 --- a/src/transformers/modeling_tf_roberta.py +++ b/src/transformers/modeling_tf_roberta.py @@ -98,7 +98,7 @@ class TFRobertaMainLayer(TFBertMainLayer): class TFRobertaPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = RobertaConfig diff --git a/src/transformers/modeling_tf_t5.py b/src/transformers/modeling_tf_t5.py index af928cf3952..89430b8cab1 100644 --- a/src/transformers/modeling_tf_t5.py +++ b/src/transformers/modeling_tf_t5.py @@ -514,7 +514,7 @@ class TFT5MainLayer(tf.keras.layers.Layer): #################################################### class TFT5PreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = T5Config diff --git a/src/transformers/modeling_tf_transfo_xl.py b/src/transformers/modeling_tf_transfo_xl.py index 639932437a2..a3530c6ca79 100644 --- a/src/transformers/modeling_tf_transfo_xl.py +++ b/src/transformers/modeling_tf_transfo_xl.py @@ -622,7 +622,7 @@ class TFTransfoXLMainLayer(tf.keras.layers.Layer): class TFTransfoXLPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = TransfoXLConfig diff --git a/src/transformers/modeling_tf_xlm.py b/src/transformers/modeling_tf_xlm.py index 0cf69528d1f..b7b827cb251 100644 --- a/src/transformers/modeling_tf_xlm.py +++ b/src/transformers/modeling_tf_xlm.py @@ -465,7 +465,7 @@ class TFXLMMainLayer(tf.keras.layers.Layer): class TFXLMPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XLMConfig diff --git a/src/transformers/modeling_tf_xlnet.py b/src/transformers/modeling_tf_xlnet.py index b09a7353e1d..1827086f055 100644 --- a/src/transformers/modeling_tf_xlnet.py +++ b/src/transformers/modeling_tf_xlnet.py @@ -686,7 +686,7 @@ class TFXLNetMainLayer(tf.keras.layers.Layer): class TFXLNetPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XLNetConfig diff --git a/src/transformers/modeling_transfo_xl.py b/src/transformers/modeling_transfo_xl.py index 394e656774e..3977a4b895f 100644 --- a/src/transformers/modeling_transfo_xl.py +++ b/src/transformers/modeling_transfo_xl.py @@ -449,7 +449,7 @@ class AdaptiveEmbedding(nn.Module): class TransfoXLPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = TransfoXLConfig diff --git a/src/transformers/modeling_xlm.py b/src/transformers/modeling_xlm.py index b8d9348dae4..8d1836b7bac 100644 --- a/src/transformers/modeling_xlm.py +++ b/src/transformers/modeling_xlm.py @@ -213,7 +213,7 @@ class TransformerFFN(nn.Module): class XLMPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XLMConfig diff --git a/src/transformers/modeling_xlnet.py b/src/transformers/modeling_xlnet.py index 8b00fa7e374..f6e76dc1973 100644 --- a/src/transformers/modeling_xlnet.py +++ b/src/transformers/modeling_xlnet.py @@ -468,7 +468,7 @@ class XLNetLayer(nn.Module): class XLNetPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XLNetConfig @@ -514,7 +514,7 @@ XLNET_START_DOCSTRING = r""" The XLNet model was proposed in The specific attention pattern can be controlled at training and test time using the `perm_mask` input. - Do to the difficulty of training a fully auto-regressive model over various factorization order, + Due to the difficulty of training a fully auto-regressive model over various factorization order, XLNet is pretrained using only a sub-set of the output tokens as target which are selected with the `target_mapping` input. diff --git a/src/transformers/tokenization_utils.py b/src/transformers/tokenization_utils.py index 4a583d9312b..aa0a4fb86e2 100644 --- a/src/transformers/tokenization_utils.py +++ b/src/transformers/tokenization_utils.py @@ -39,7 +39,7 @@ TOKENIZER_CONFIG_FILE = "tokenizer_config.json" class PreTrainedTokenizer(object): """ Base class for all tokenizers. - Handle all the shared methods for tokenization and special tokens as well as methods dowloading/caching/loading pretrained tokenizers as well as adding tokens to the vocabulary. + Handle all the shared methods for tokenization and special tokens as well as methods downloading/caching/loading pretrained tokenizers as well as adding tokens to the vocabulary. This class also contain the added tokens in a unified way on top of all tokenizers so we don't have to handle the specific vocabulary augmentation methods of the various underlying dictionary structures (BPE, sentencepiece...). diff --git a/templates/adding_a_new_model/modeling_tf_xxx.py b/templates/adding_a_new_model/modeling_tf_xxx.py index ed0eb03320c..520007ff85a 100644 --- a/templates/adding_a_new_model/modeling_tf_xxx.py +++ b/templates/adding_a_new_model/modeling_tf_xxx.py @@ -176,7 +176,7 @@ class TFXxxMainLayer(tf.keras.layers.Layer): #################################################### class TFXxxPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XxxConfig diff --git a/templates/adding_a_new_model/modeling_xxx.py b/templates/adding_a_new_model/modeling_xxx.py index 6faa3798299..0431f3936f1 100644 --- a/templates/adding_a_new_model/modeling_xxx.py +++ b/templates/adding_a_new_model/modeling_xxx.py @@ -173,7 +173,7 @@ XxxPooler = nn.Module class XxxPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and - a simple interface for dowloading and loading pretrained models. + a simple interface for downloading and loading pretrained models. """ config_class = XxxConfig