modify yaml, test=doc

demos/speech_server/README.md

@@ -11,21 +11,14 @@ This demo is an implementation of starting the voice service and accessing the s
 see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
 
 It is recommended to use **paddlepaddle 2.2.1** or above.
-You can choose one way from easy, meduim and hard to install paddlespeech.
+You can choose one way from meduim and hard to install paddlespeech.
 
 ### 2. Prepare config File
-The configuration file contains the service-related configuration files and the model configuration related to the voice tasks contained in the service. They are all under the `conf` folder. 
+The configuration file can be found in `conf/application.yaml` .
+Among them, `engine_list` indicates the speech engine that will be included in the service to be started, in the format of <speech task>_<engine type>.
+At present, the speech tasks integrated by the service include: asr (speech recognition) and tts (speech synthesis).
+Currently the engine type supports two forms: python and inference (Paddle Inference)
 
-**Note: The configuration of `engine_backend` in `application.yaml` represents all speech tasks included in the started service.**
-If the service you want to start contains only a certain speech task, then you need to comment out the speech tasks that do not need to be included. For example, if you only want to use the speech recognition (ASR) service, then you can comment out the speech synthesis (TTS) service, as in the following example:
-```bash
-engine_backend:
-    asr: 'conf/asr/asr.yaml'
-    #tts: 'conf/tts/tts.yaml'
-```
-
-**Note: The configuration file of `engine_backend` in `application.yaml` needs to match the configuration type of `engine_type`.**
-When the configuration file of `engine_backend` is `XXX.yaml`, the configuration type of `engine_type` needs to be set to `python`; when the configuration file of `engine_backend` is `XXX_pd.yaml`, the configuration of `engine_type` needs to be set type is `inference`;
 
 The input of  ASR client demo should be a WAV file(`.wav`), and the sample rate must be the same as the model.
 

demos/speech_server/README_cn.md

@@ -11,20 +11,15 @@
 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
 
 推荐使用 **paddlepaddle 2.2.1** 或以上版本。
-你可以从 easy，medium，hard 三中方式中选择一种方式安装 PaddleSpeech。
+你可以从 medium，hard 三中方式中选择一种方式安装 PaddleSpeech。
 
 
 ### 2. 准备配置文件
-配置文件包含服务相关的配置文件和服务中包含的语音任务相关的模型配置。 它们都在 `conf` 文件夹下。
-**注意：`application.yaml` 中 `engine_backend` 的配置表示启动的服务中包含的所有语音任务。**
-如果你想启动的服务中只包含某项语音任务，那么你需要注释掉不需要包含的语音任务。例如你只想使用语音识别（ASR）服务，那么你可以将语音合成（TTS）服务注释掉，如下示例：
-```bash
-engine_backend:
-    asr: 'conf/asr/asr.yaml'
-    #tts: 'conf/tts/tts.yaml'
-```
-**注意：`application.yaml` 中 `engine_backend` 的配置文件需要和 `engine_type` 的配置类型匹配。**
-当`engine_backend` 的配置文件为`XXX.yaml`时，需要设置`engine_type`的配置类型为`python`;当`engine_backend` 的配置文件为`XXX_pd.yaml`时，需要设置`engine_type`的配置类型为`inference`;
+配置文件可参见 `conf/application.yaml` 。
+其中，`engine_list`表示即将启动的服务将会包含的语音引擎，格式为 <语音任务>_<引擎类型>。
+目前服务集成的语音任务有： asr(语音识别)、tts(语音合成)。
+目前引擎类型支持两种形式：python 及 inference (Paddle Inference)
+
 
 这个 ASR client 的输入应该是一个 WAV 文件（`.wav`），并且采样率必须与模型的采样率相同。
 

demos/speech_server/conf/application.yaml

@@ -1,27 +1,107 @@
 # This is the parameter configuration file for PaddleSpeech Serving.
 
-##################################################################
-#                     SERVER SETTING                             #
-##################################################################
+#################################################################################
+#                             SERVER SETTING                                    #
+#################################################################################
 host: 127.0.0.1
 port: 8090
 
-##################################################################
-#                     CONFIG FILE                                #
-##################################################################
-# add engine backend type (Options: asr, tts) and config file here.
-# Adding a speech task to engine_backend means starting the service.
-engine_backend:
-    asr: 'conf/asr/asr.yaml'
-    tts: 'conf/tts/tts.yaml'
-
-# The engine_type of speech task needs to keep the same type as the config file of speech task.
-# E.g: The engine_type of asr is 'python', the engine_backend of asr is 'XX/asr.yaml'
-# E.g: The engine_type of asr is 'inference', the engine_backend of asr is 'XX/asr_pd.yaml'
-#
-# add engine type (Options: python, inference) 
-engine_type:
-    asr: 'python'
-    tts: 'python'
+# The task format in the engin_list is: <speech task>_<engine type>
+# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference']
 
+engine_list: ['asr_python', 'tts_python']
+
+
+#################################################################################
+#                                ENGINE CONFIG                                  #
+#################################################################################
+################### speech task: asr; engine_type: python #######################
+asr_python:
+    model: 'conformer_wenetspeech'
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: # [optional]
+    ckpt_path: # [optional]
+    decode_method: 'attention_rescoring'
+    force_yes: True
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: asr; engine_type: inference #######################
+asr_inference:
+    # model_type choices=['deepspeech2offline_aishell']
+    model_type: 'deepspeech2offline_aishell'
+    am_model: # the pdmodel file of am static model [optional]
+    am_params:  # the pdiparams file of am static model [optional]
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: 
+    decode_method: 
+    force_yes: True
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False  # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+
+################### speech task: tts; engine_type: python #######################
+tts_python: 
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc', 
+    #                              'fastspeech2_ljspeech', 'fastspeech2_aishell3',
+    #                              'fastspeech2_vctk']        
+    am: 'fastspeech2_csmsc'   
+    am_config: 
+    am_ckpt: 
+    am_stat: 
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
+    #                        'pwgan_vctk', 'mb_melgan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_config: 
+    voc_ckpt: 
+    voc_stat: 
+
+    # others
+    lang: 'zh'
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: tts; engine_type: inference #######################
+tts_inference:
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
+    am: 'fastspeech2_csmsc'   
+    am_model: # the pdmodel file of your am static model (XX.pdmodel)
+    am_params: # the pdiparams file of your am static model (XX.pdipparams)
+    am_sample_rate: 24000
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
+    voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
+    voc_sample_rate: 24000
+
+    voc_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'  
+        switch_ir_optim: True  
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # others
+    lang: 'zh'
 

demos/speech_server/conf/asr/asr.yaml

@@ -1,8 +0,0 @@
-model: 'conformer_wenetspeech'
-lang: 'zh'
-sample_rate: 16000
-cfg_path: # [optional]
-ckpt_path: # [optional]
-decode_method: 'attention_rescoring'
-force_yes: True
-device:  # set 'gpu:id' or 'cpu'

demos/speech_server/conf/asr/asr_pd.yaml

@@ -1,26 +0,0 @@
-# This is the parameter configuration file for ASR server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['deepspeech2offline_aishell'] TODO
-##################################################################
-model_type: 'deepspeech2offline_aishell'
-am_model: # the pdmodel file of am static model [optional]
-am_params:  # the pdiparams file of am static model [optional]
-lang: 'zh'
-sample_rate: 16000
-cfg_path: 
-decode_method: 
-force_yes: True
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False  # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                            OTHERS                              #
-##################################################################

demos/speech_server/conf/tts/tts.yaml

@@ -1,32 +0,0 @@
-# This is the parameter configuration file for TTS server.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc',
-#             'fastspeech2_ljspeech', 'fastspeech2_aishell3',
-#             'fastspeech2_vctk']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_config: 
-am_ckpt: 
-am_stat: 
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
-#              'pwgan_vctk', 'mb_melgan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_config: 
-voc_ckpt: 
-voc_stat: 
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'
-device:  # set 'gpu:id' or 'cpu'

demos/speech_server/conf/tts/tts_pd.yaml

@@ -1,42 +0,0 @@
-# This is the parameter configuration file for TTS server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_model: # the pdmodel file of your am static model (XX.pdmodel)
-am_params: # the pdiparams file of your am static model (XX.pdipparams)
-am_sample_rate: 24000
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
-voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
-voc_sample_rate: 24000
-
-voc_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'  
-  switch_ir_optim: True  
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'

demos/speech_server/server.sh

@@ -1,3 +1,3 @@
 #!/bin/bash
 
-paddlespeech_server start --config_file ./conf/application.yaml
+paddlespeech_server start --config_file ./conf/application.yaml

paddlespeech/server/bin/main.py

@@ -34,7 +34,7 @@ def init(config):
         bool: 
     """
     # init api
-    api_list = list(config.engine_backend)
+    api_list = list(engine.split("_")[0] for engine in config.engine_list)
     api_router = setup_router(api_list)
     app.include_router(api_router)
 

paddlespeech/server/bin/paddlespeech_server.py

@@ -62,7 +62,7 @@ class ServerExecutor(BaseExecutor):
             bool: 
         """
         # init api
-        api_list = list(config.engine_backend)
+        api_list = list(engine.split("_")[0] for engine in config.engine_list)
         api_router = setup_router(api_list)
         app.include_router(api_router)
 

paddlespeech/server/conf/application.yaml

@@ -1,27 +1,107 @@
 # This is the parameter configuration file for PaddleSpeech Serving.
 
-##################################################################
-#                     SERVER SETTING                             #
-##################################################################
+#################################################################################
+#                             SERVER SETTING                                    #
+#################################################################################
 host: 127.0.0.1
 port: 8090
 
-##################################################################
-#                     CONFIG FILE                                #
-##################################################################
-# add engine backend type (Options: asr, tts) and config file here.
-# Adding a speech task to engine_backend means starting the service.
-engine_backend:
-    asr: 'conf/asr/asr.yaml'
-    tts: 'conf/tts/tts.yaml'
-
-# The engine_type of speech task needs to keep the same type as the config file of speech task.
-# E.g: The engine_type of asr is 'python', the engine_backend of asr is 'XX/asr.yaml'
-# E.g: The engine_type of asr is 'inference', the engine_backend of asr is 'XX/asr_pd.yaml'
-#
-# add engine type (Options: python, inference) 
-engine_type:
-    asr: 'python'
-    tts: 'python'
+# The task format in the engin_list is: <speech task>_<engine type>
+# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference']
 
+engine_list: ['asr_python', 'tts_python']
+
+
+#################################################################################
+#                                ENGINE CONFIG                                  #
+#################################################################################
+################### speech task: asr; engine_type: python #######################
+asr_python:
+    model: 'conformer_wenetspeech'
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: # [optional]
+    ckpt_path: # [optional]
+    decode_method: 'attention_rescoring'
+    force_yes: True
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: asr; engine_type: inference #######################
+asr_inference:
+    # model_type choices=['deepspeech2offline_aishell']
+    model_type: 'deepspeech2offline_aishell'
+    am_model: # the pdmodel file of am static model [optional]
+    am_params:  # the pdiparams file of am static model [optional]
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: 
+    decode_method: 
+    force_yes: True
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False  # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+
+################### speech task: tts; engine_type: python #######################
+tts_python: 
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc', 
+    #                              'fastspeech2_ljspeech', 'fastspeech2_aishell3',
+    #                              'fastspeech2_vctk']        
+    am: 'fastspeech2_csmsc'   
+    am_config: 
+    am_ckpt: 
+    am_stat: 
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
+    #                        'pwgan_vctk', 'mb_melgan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_config: 
+    voc_ckpt: 
+    voc_stat: 
+
+    # others
+    lang: 'zh'
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: tts; engine_type: inference #######################
+tts_inference:
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
+    am: 'fastspeech2_csmsc'   
+    am_model: # the pdmodel file of your am static model (XX.pdmodel)
+    am_params: # the pdiparams file of your am static model (XX.pdipparams)
+    am_sample_rate: 24000
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
+    voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
+    voc_sample_rate: 24000
+
+    voc_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'  
+        switch_ir_optim: True  
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # others
+    lang: 'zh'
 

paddlespeech/server/conf/asr/asr.yaml

@@ -1,8 +0,0 @@
-model: 'conformer_wenetspeech'
-lang: 'zh'
-sample_rate: 16000
-cfg_path: # [optional]
-ckpt_path: # [optional]
-decode_method: 'attention_rescoring'
-force_yes: True
-device:  # set 'gpu:id' or 'cpu'

paddlespeech/server/conf/asr/asr_pd.yaml

@@ -1,26 +0,0 @@
-# This is the parameter configuration file for ASR server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['deepspeech2offline_aishell'] TODO
-##################################################################
-model_type: 'deepspeech2offline_aishell'
-am_model: # the pdmodel file of am static model [optional]
-am_params:  # the pdiparams file of am static model [optional]
-lang: 'zh'
-sample_rate: 16000
-cfg_path: 
-decode_method: 
-force_yes: True
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False  # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                            OTHERS                              #
-##################################################################

paddlespeech/server/conf/tts/tts.yaml

@@ -1,32 +0,0 @@
-# This is the parameter configuration file for TTS server.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc',
-#             'fastspeech2_ljspeech', 'fastspeech2_aishell3',
-#             'fastspeech2_vctk']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_config: 
-am_ckpt: 
-am_stat: 
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
-#              'pwgan_vctk', 'mb_melgan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_config: 
-voc_ckpt: 
-voc_stat: 
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'
-device:  # set 'gpu:id' or 'cpu'

paddlespeech/server/conf/tts/tts_pd.yaml

@@ -1,42 +0,0 @@
-# This is the parameter configuration file for TTS server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_model: # the pdmodel file of your am static model (XX.pdmodel)
-am_params: # the pdiparams file of your am static model (XX.pdipparams)
-am_sample_rate: 24000
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
-voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
-voc_sample_rate: 24000
-
-voc_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'  
-  switch_ir_optim: True  
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'

paddlespeech/server/engine/asr/paddleinference/asr_engine.py

@@ -26,7 +26,6 @@ from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
 from paddlespeech.s2t.modules.ctc import CTCDecoder
 from paddlespeech.s2t.utils.utility import UpdateConfig
 from paddlespeech.server.engine.base_engine import BaseEngine
-from paddlespeech.server.utils.config import get_config
 from paddlespeech.server.utils.paddle_predictor import init_predictor
 from paddlespeech.server.utils.paddle_predictor import run_model
 
@@ -184,7 +183,7 @@ class ASREngine(BaseEngine):
     def __init__(self):
         super(ASREngine, self).__init__()
 
-    def init(self, config_file: str) -> bool:
+    def init(self, config: dict) -> bool:
         """init engine resource
 
         Args:
@@ -196,7 +195,7 @@ class ASREngine(BaseEngine):
         self.input = None
         self.output = None
         self.executor = ASRServerExecutor()
-        self.config = get_config(config_file)
+        self.config = config
 
         self.executor._init_from_path(
             model_type=self.config.model_type,

paddlespeech/server/engine/asr/python/asr_engine.py

@@ -19,7 +19,6 @@ import paddle
 from paddlespeech.cli.asr.infer import ASRExecutor
 from paddlespeech.cli.log import logger
 from paddlespeech.server.engine.base_engine import BaseEngine
-from paddlespeech.server.utils.config import get_config
 
 __all__ = ['ASREngine']
 
@@ -40,7 +39,7 @@ class ASREngine(BaseEngine):
     def __init__(self):
         super(ASREngine, self).__init__()
 
-    def init(self, config_file: str) -> bool:
+    def init(self, config: dict) -> bool:
         """init engine resource
 
         Args:
@@ -52,8 +51,7 @@ class ASREngine(BaseEngine):
         self.input = None
         self.output = None
         self.executor = ASRServerExecutor()
-
-        self.config = get_config(config_file)
+        self.config = config
         try:
             if self.config.device:
                 self.device = self.config.device

paddlespeech/server/engine/engine_pool.py

@@ -28,11 +28,13 @@ def init_engine_pool(config) -> bool:
     """ Init engine pool
     """
     global ENGINE_POOL
-    for engine in config.engine_backend:
+
+    for engine_and_type in config.engine_list:
+        engine = engine_and_type.split("_")[0]
+        engine_type = engine_and_type.split("_")[1]
         ENGINE_POOL[engine] = EngineFactory.get_engine(
-            engine_name=engine, engine_type=config.engine_type[engine])
-        if not ENGINE_POOL[engine].init(
-                config_file=config.engine_backend[engine]):
+            engine_name=engine, engine_type=engine_type)
+        if not ENGINE_POOL[engine].init(config=config[engine_and_type]):
             return False
 
     return True

paddlespeech/server/engine/tts/paddleinference/tts_engine.py

@@ -29,7 +29,6 @@ from paddlespeech.cli.utils import download_and_decompress
 from paddlespeech.cli.utils import MODEL_HOME
 from paddlespeech.server.engine.base_engine import BaseEngine
 from paddlespeech.server.utils.audio_process import change_speed
-from paddlespeech.server.utils.config import get_config
 from paddlespeech.server.utils.errors import ErrorCode
 from paddlespeech.server.utils.exception import ServerBaseException
 from paddlespeech.server.utils.paddle_predictor import init_predictor
@@ -357,11 +356,11 @@ class TTSEngine(BaseEngine):
         """
         super(TTSEngine, self).__init__()
 
-    def init(self, config_file: str) -> bool:
+    def init(self, config: dict) -> bool:
         self.executor = TTSServerExecutor()
 
         try:
-            self.config = get_config(config_file)
+            self.config = config
             self.executor._init_from_path(
                 am=self.config.am,
                 am_model=self.config.am_model,

paddlespeech/server/engine/tts/python/tts_engine.py

@@ -25,7 +25,6 @@ from paddlespeech.cli.log import logger
 from paddlespeech.cli.tts.infer import TTSExecutor
 from paddlespeech.server.engine.base_engine import BaseEngine
 from paddlespeech.server.utils.audio_process import change_speed
-from paddlespeech.server.utils.config import get_config
 from paddlespeech.server.utils.errors import ErrorCode
 from paddlespeech.server.utils.exception import ServerBaseException
 
@@ -50,11 +49,11 @@ class TTSEngine(BaseEngine):
         """
         super(TTSEngine, self).__init__()
 
-    def init(self, config_file: str) -> bool:
+    def init(self, config: dict) -> bool:
         self.executor = TTSServerExecutor()
 
         try:
-            self.config = get_config(config_file)
+            self.config = config
             if self.config.device:
                 self.device = self.config.device
             else:

tests/unit/server/change_yaml.py

@@ -5,7 +5,7 @@ import os
 import yaml
 
 
-def change_speech_yaml(yaml_name: str, device: str):
+def change_device(yamlfile: str, engine: str, device: str):
     """Change the settings of the device under the voice task configuration file
 
     Args:
@@ -13,68 +13,54 @@ def change_speech_yaml(yaml_name: str, device: str):
         cpu (bool): True means set device to "cpu"
         model_type (dict): change model type
     """
-    if "asr" in yaml_name:
-        dirpath = "./conf/asr/"
-    elif 'tts' in yaml_name:
-        dirpath = "./conf/tts/"
-    yamlfile = dirpath + yaml_name + ".yaml"
-    tmp_yamlfile = dirpath + yaml_name + "_tmp.yaml"
+    tmp_yamlfile = yamlfile.split(".yaml")[0] + "_tmp.yaml"
     os.system("cp %s %s" % (yamlfile, tmp_yamlfile))
 
+    if device == 'cpu':
+        set_device = 'cpu'
+    elif device == 'gpu':
+        set_device = 'gpu:0'
+    else:
+        print("Please set correct device: cpu or gpu.")
+
     with open(tmp_yamlfile) as f, open(yamlfile, "w+", encoding="utf-8") as fw:
         y = yaml.safe_load(f)
-        if device == 'cpu':
-            print("Set device: cpu")
-            if yaml_name == 'asr':
-                y['device'] = 'cpu'
-            elif yaml_name == 'asr_pd':
-                y['am_predictor_conf']['device'] = 'cpu'
-            elif yaml_name == 'tts':
-                y['device'] = 'cpu'
-            elif yaml_name == 'tts_pd':
-                y['am_predictor_conf']['device'] = 'cpu'
-                y['voc_predictor_conf']['device'] = 'cpu'
-        elif device == 'gpu':
-            print("Set device: gpu")
-            if yaml_name == 'asr':
-                y['device'] = 'gpu:0'
-            elif yaml_name == 'asr_pd':
-                y['am_predictor_conf']['device'] = 'gpu:0'
-            elif yaml_name == 'tts':
-                y['device'] = 'gpu:0'
-            elif yaml_name == 'tts_pd':
-                y['am_predictor_conf']['device'] = 'gpu:0'
-                y['voc_predictor_conf']['device'] = 'gpu:0'
+        if engine == 'asr_python' or engine == 'tts_python':
+            y[engine]['device'] = set_device
+        elif engine == 'asr_inference':
+            y[engine]['am_predictor_conf']['device'] = set_device
+        elif engine == 'tts_inference':
+            y[engine]['am_predictor_conf']['device'] = set_device
+            y[engine]['voc_predictor_conf']['device'] = set_device
         else:
-            print("Please set correct device: cpu or gpu.")
+            print(
+                "Please set correct engine: asr_python, tts_python, asr_inference, tts_inference."
+            )
 
-        print("The content of '%s': " % (yamlfile))
         print(yaml.dump(y, default_flow_style=False, sort_keys=False))
         yaml.dump(y, fw, allow_unicode=True)
     os.system("rm %s" % (tmp_yamlfile))
     print("Change %s successfully." % (yamlfile))
 
 
-def change_app_yaml(task: str, engine_type: str):
+def change_engine_type(yamlfile: str, engine_type):
     """Change the engine type and corresponding configuration file of the speech task in application.yaml
 
     Args:
         task (str):  asr or tts
     """
-    yamlfile = "./conf/application.yaml"
-    tmp_yamlfile = "./conf/application_tmp.yaml"
+    tmp_yamlfile = yamlfile.split(".yaml")[0] + "_tmp.yaml"
     os.system("cp %s %s" % (yamlfile, tmp_yamlfile))
+    speech_task = engine_type.split("_")[0]
+
     with open(tmp_yamlfile) as f, open(yamlfile, "w+", encoding="utf-8") as fw:
         y = yaml.safe_load(f)
-        y['engine_type'][task] = engine_type
-        path_list = ["./conf/", task, "/", task]
-        if engine_type == 'python':
-            path_list.append(".yaml")
-
-        elif engine_type == 'inference':
-            path_list.append("_pd.yaml")
-        y['engine_backend'][task] = ''.join(path_list)
-        print("The content of './conf/application.yaml': ")
+        engine_list = y['engine_list']
+        for engine in engine_list:
+            if speech_task in engine:
+                engine_list.remove(engine)
+                engine_list.append(engine_type)
+        y['engine_list'] = engine_list
         print(yaml.dump(y, default_flow_style=False, sort_keys=False))
         yaml.dump(y, fw, allow_unicode=True)
     os.system("rm %s" % (tmp_yamlfile))
@@ -83,32 +69,37 @@ def change_app_yaml(task: str, engine_type: str):
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '--config_file',
+        type=str,
+        default='./conf/application.yaml',
+        help='server yaml file.')
     parser.add_argument(
         '--change_task',
         type=str,
         default=None,
         help='Change task',
         choices=[
-            'app-asr-python',
-            'app-asr-inference',
-            'app-tts-python',
-            'app-tts-inference',
-            'speech-asr-cpu',
-            'speech-asr-gpu',
-            'speech-asr_pd-cpu',
-            'speech-asr_pd-gpu',
-            'speech-tts-cpu',
-            'speech-tts-gpu',
-            'speech-tts_pd-cpu',
-            'speech-tts_pd-gpu',
+            'enginetype-asr_python',
+            'enginetype-asr_inference',
+            'enginetype-tts_python',
+            'enginetype-tts_inference',
+            'device-asr_python-cpu',
+            'device-asr_python-gpu',
+            'device-asr_inference-cpu',
+            'device-asr_inference-gpu',
+            'device-tts_python-cpu',
+            'device-tts_python-gpu',
+            'device-tts_inference-cpu',
+            'device-tts_inference-gpu',
         ],
         required=True)
     args = parser.parse_args()
 
     types = args.change_task.split("-")
-    if types[0] == "app":
-        change_app_yaml(types[1], types[2])
-    elif types[0] == "speech":
-        change_speech_yaml(types[1], types[2])
+    if types[0] == "enginetype":
+        change_engine_type(args.config_file, types[1])
+    elif types[0] == "device":
+        change_device(args.config_file, types[1], types[2])
     else:
         print("Error change task, please check change_task.")

tests/unit/server/conf/application.yaml

@@ -1,27 +1,107 @@
 # This is the parameter configuration file for PaddleSpeech Serving.
 
-##################################################################
-#                     SERVER SETTING                             #
-##################################################################
+#################################################################################
+#                             SERVER SETTING                                    #
+#################################################################################
 host: 127.0.0.1
 port: 8090
 
-##################################################################
-#                     CONFIG FILE                                #
-##################################################################
-# add engine backend type (Options: asr, tts) and config file here.
-# Adding a speech task to engine_backend means starting the service.
-engine_backend:
-    asr: 'conf/asr/asr.yaml'
-    tts: 'conf/tts/tts.yaml'
-
-# The engine_type of speech task needs to keep the same type as the config file of speech task.
-# E.g: The engine_type of asr is 'python', the engine_backend of asr is 'XX/asr.yaml'
-# E.g: The engine_type of asr is 'inference', the engine_backend of asr is 'XX/asr_pd.yaml'
-#
-# add engine type (Options: python, inference) 
-engine_type:
-    asr: 'python'
-    tts: 'python'
+# The task format in the engin_list is: <speech task>_<engine type>
+# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference']
 
+engine_list: ['asr_python', 'tts_python']
+
+
+#################################################################################
+#                                ENGINE CONFIG                                  #
+#################################################################################
+################### speech task: asr; engine_type: python #######################
+asr_python:
+    model: 'conformer_wenetspeech'
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: # [optional]
+    ckpt_path: # [optional]
+    decode_method: 'attention_rescoring'
+    force_yes: True
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: asr; engine_type: inference #######################
+asr_inference:
+    # model_type choices=['deepspeech2offline_aishell']
+    model_type: 'deepspeech2offline_aishell'
+    am_model: # the pdmodel file of am static model [optional]
+    am_params:  # the pdiparams file of am static model [optional]
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: 
+    decode_method: 
+    force_yes: True
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False  # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+
+################### speech task: tts; engine_type: python #######################
+tts_python: 
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc', 
+    #                              'fastspeech2_ljspeech', 'fastspeech2_aishell3',
+    #                              'fastspeech2_vctk']        
+    am: 'fastspeech2_csmsc'   
+    am_config: 
+    am_ckpt: 
+    am_stat: 
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
+    #                        'pwgan_vctk', 'mb_melgan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_config: 
+    voc_ckpt: 
+    voc_stat: 
+
+    # others
+    lang: 'zh'
+    device:  # set 'gpu:id' or 'cpu'
+
+
+################### speech task: tts; engine_type: inference #######################
+tts_inference:
+    # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
+    am: 'fastspeech2_csmsc'   
+    am_model: # the pdmodel file of your am static model (XX.pdmodel)
+    am_params: # the pdiparams file of your am static model (XX.pdipparams)
+    am_sample_rate: 24000
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # voc (vocoder) choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
+    voc: 'pwgan_csmsc'
+    voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
+    voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
+    voc_sample_rate: 24000
+
+    voc_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'  
+        switch_ir_optim: True  
+        glog_info: False # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    # others
+    lang: 'zh'
 

tests/unit/server/conf/asr/asr.yaml

@@ -1,8 +0,0 @@
-model: 'conformer_wenetspeech'
-lang: 'zh'
-sample_rate: 16000
-cfg_path: # [optional]
-ckpt_path: # [optional]
-decode_method: 'attention_rescoring'
-force_yes: True
-device:  # set 'gpu:id' or 'cpu'

tests/unit/server/conf/asr/asr_pd.yaml

@@ -1,26 +0,0 @@
-# This is the parameter configuration file for ASR server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['deepspeech2offline_aishell'] TODO
-##################################################################
-model_type: 'deepspeech2offline_aishell'
-am_model: # the pdmodel file of am static model [optional]
-am_params:  # the pdiparams file of am static model [optional]
-lang: 'zh'
-sample_rate: 16000
-cfg_path: 
-decode_method: 
-force_yes: True
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False  # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                            OTHERS                              #
-##################################################################

tests/unit/server/conf/tts/tts.yaml

@@ -1,32 +0,0 @@
-# This is the parameter configuration file for TTS server.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc',
-#             'fastspeech2_ljspeech', 'fastspeech2_aishell3',
-#             'fastspeech2_vctk']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_config: 
-am_ckpt: 
-am_stat: 
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3',
-#              'pwgan_vctk', 'mb_melgan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_config: 
-voc_ckpt: 
-voc_stat: 
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'
-device:  # set 'gpu:id' or 'cpu'

tests/unit/server/conf/tts/tts_pd.yaml

@@ -1,42 +0,0 @@
-# This is the parameter configuration file for TTS server.
-# These are the static models that support paddle inference.
-
-##################################################################
-#                  ACOUSTIC MODEL SETTING                        #
-# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
-##################################################################
-am: 'fastspeech2_csmsc'   
-am_model: # the pdmodel file of your am static model (XX.pdmodel)
-am_params: # the pdiparams file of your am static model (XX.pdipparams)
-am_sample_rate: 24000
-phones_dict: 
-tones_dict: 
-speaker_dict: 
-spk_id: 0
-
-am_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'
-  switch_ir_optim: True
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-
-##################################################################
-#                     VOCODER SETTING                            #
-# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
-##################################################################
-voc: 'pwgan_csmsc'
-voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel)
-voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
-voc_sample_rate: 24000
-
-voc_predictor_conf:
-  device:  # set 'gpu:id' or 'cpu'  
-  switch_ir_optim: True  
-  glog_info: False # True -> print glog
-  summary: True  # False -> do not show predictor config
-
-##################################################################
-#                            OTHERS                              #
-##################################################################
-lang: 'zh'

tests/unit/server/test_server_client.sh

@@ -99,8 +99,8 @@ echo "**************************************************************************
 
 
 # start server: asr engine type: python; tts engine type: python; device: cpu
-python change_yaml.py --change_task speech-asr-cpu    # change asr.yaml device: cpu
-python change_yaml.py --change_task speech-tts-cpu    # change tts.yaml device: cpu
+python change_yaml.py --change_task device-asr_python-cpu    # change asr.yaml device: cpu
+python change_yaml.py --change_task device-tts_python-cpu    # change tts.yaml device: cpu
 
 echo "Start the service: asr engine type: python; tts engine type: python; device: cpu"  | tee -a ./log/test_result.log
 ((target_start_num+=1))
@@ -125,8 +125,8 @@ echo "**************************************************************************
 
 
 # start server: asr engine type: inference; tts engine type: inference; device: gpu
-python change_yaml.py --change_task app-asr-inference    # change application.yaml, asr engine_type: inference; asr engine_backend: asr_pd.yaml
-python change_yaml.py --change_task app-tts-inference    # change application.yaml, tts engine_type: inference; tts engine_backend: tts_pd.yaml
+python change_yaml.py --change_task enginetype-asr_inference    # change application.yaml, asr engine_type: inference; asr engine_backend: asr_pd.yaml
+python change_yaml.py --change_task enginetype-tts_inference    # change application.yaml, tts engine_type: inference; tts engine_backend: tts_pd.yaml
 
 echo "Start the service: asr engine type: inference; tts engine type: inference; device: gpu"  | tee -a ./log/test_result.log
 ((target_start_num+=1))
@@ -151,8 +151,8 @@ echo "**************************************************************************
 
 
 # start server: asr engine type: inference; tts engine type: inference; device: cpu
-python change_yaml.py --change_task speech-asr_pd-cpu    # change asr_pd.yaml device: cpu
-python change_yaml.py --change_task speech-tts_pd-cpu    # change tts_pd.yaml device: cpu
+python change_yaml.py --change_task device-asr_inference-cpu    # change asr_pd.yaml device: cpu
+python change_yaml.py --change_task device-tts_inference-cpu    # change tts_pd.yaml device: cpu
 
 echo "start the service: asr engine type: inference; tts engine type: inference; device: cpu"  | tee -a ./log/test_result.log
 ((target_start_num+=1))
@@ -182,4 +182,5 @@ echo "***************** Here are all the test results ********************"
 cat ./log/test_result.log
 
 # Restoring conf is the same as demos/speech_server
+rm -rf ./conf
 cp ../../../demos/speech_server/conf/ ./ -rf