Merge pull request #749 from PaddlePaddle/install

fix install and format code

deepspeech/exps/u2_st/model.py

@@ -18,9 +18,7 @@ import sys
 import time
 from collections import defaultdict
 from pathlib import Path
-from typing import List
 from typing import Optional
-from typing import Tuple
 
 import numpy as np
 import paddle
@@ -42,7 +40,6 @@ from deepspeech.training.scheduler import WarmupLR
 from deepspeech.training.trainer import Trainer
 from deepspeech.utils import bleu_score
 from deepspeech.utils import ctc_utils
-from deepspeech.utils import error_rate
 from deepspeech.utils import layer_tools
 from deepspeech.utils import mp_tools
 from deepspeech.utils import text_grid

deepspeech/io/collator_st.py

@@ -14,7 +14,6 @@
 import io
 from collections import namedtuple
 from typing import Optional
-from typing import Tuple
 
 import kaldiio
 import numpy as np

deepspeech/models/u2_st.py

@@ -15,9 +15,7 @@
 Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition 
 (https://arxiv.org/pdf/2012.05481.pdf)
 """
-import sys
 import time
-from collections import defaultdict
 from typing import Dict
 from typing import List
 from typing import Optional
@@ -36,18 +34,14 @@ from deepspeech.modules.decoder import TransformerDecoder
 from deepspeech.modules.encoder import ConformerEncoder
 from deepspeech.modules.encoder import TransformerEncoder
 from deepspeech.modules.loss import LabelSmoothingLoss
-from deepspeech.modules.mask import make_pad_mask
 from deepspeech.modules.mask import mask_finished_preds
 from deepspeech.modules.mask import mask_finished_scores
 from deepspeech.modules.mask import subsequent_mask
 from deepspeech.utils import checkpoint
 from deepspeech.utils import layer_tools
-from deepspeech.utils.ctc_utils import remove_duplicates_and_blank
 from deepspeech.utils.log import Log
 from deepspeech.utils.tensor_utils import add_sos_eos
-from deepspeech.utils.tensor_utils import pad_sequence
 from deepspeech.utils.tensor_utils import th_accuracy
-from deepspeech.utils.utility import log_add
 
 __all__ = ["U2STModel", "U2STInferModel"]
 

deepspeech/utils/bleu_score.py

@@ -14,7 +14,6 @@
 """This module provides functions to calculate bleu score in different level.
 e.g. wer for word-level, cer for char-level.
 """
-import numpy as np
 import sacrebleu
 
 __all__ = ['bleu', 'char_bleu']

examples/librispeech/s1/README.md

@@ -2,7 +2,7 @@
 
 ## Data
 | Data Subset | Duration in Seconds |
-| --- | --- | 
+| --- | --- |
 | data/manifest.train |  0.83s ~ 29.735s |
 | data/manifest.dev | 1.065 ~ 35.155s |  
 | data/manifest.test-clean | 1.285s ~ 34.955s |
@@ -39,4 +39,4 @@
 ### Test w/o length filter
 | Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |  
 | --- | --- | --- | --- | --- | --- | --- | --- |
-| transformer | 32.52 M | conf/transformer.yaml | spec_aug + shift | test-clean-all | attention | 6.98 | 0.066500 |  
\ No newline at end of file
+| transformer | 32.52 M | conf/transformer.yaml | spec_aug + shift | test-clean-all | attention | 6.98 | 0.066500 |  

examples/librispeech/s2/README.md

@@ -39,4 +39,3 @@
 | Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |  
 | --- | --- | --- | --- | --- | --- | --- | --- |
 | transformer | 32.52 M | conf/transformer.yaml | spec_aug + shift | test-clean-all | attention | | |  
-

requirements.txt

 coverage
+gpustat
 pre-commit
 pybind11
 resampy==0.2.2
+sacrebleu
 scipy==1.2.1
 sentencepiece
 snakeviz

setup.sh

@@ -9,7 +9,7 @@ if [ $(id -u) -eq 0 ]; then
 fi
 
 if [ -e /etc/lsb-release ];then
-    #${SUDO} apt-get update
+    ${SUDO} apt-get update -y
     ${SUDO} apt-get install -y jq vim tig tree sox pkg-config libflac-dev libogg-dev libvorbis-dev libboost-dev swig python3-dev
     if [ $? != 0 ]; then
         error_msg "Please using Ubuntu or install pkg-config libflac-dev libogg-dev libvorbis-dev libboost-dev swig python3-dev by user."
@@ -22,6 +22,8 @@ fi
 rm tools/*.done
 pushd tools && make && popd
 
+source tools/venv/bin/activate
+
 # install python dependencies
 if [ -f "requirements.txt" ]; then
     pip3 install -r requirements.txt