resolve setup.py conflicts, test=doc

.pre-commit-config.yaml

@@ -50,12 +50,13 @@ repos:
         entry: bash .pre-commit-hooks/clang-format.hook -i
         language: system
         files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|cuh|proto)$
+        exclude: (?=speechx/speechx/kaldi).*(\.cpp|\.cc|\.h|\.py)$
     -   id: copyright_checker
         name: copyright_checker
         entry: python .pre-commit-hooks/copyright-check.hook
         language: system
         files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto|py)$
-        exclude: (?=third_party|pypinyin).*(\.cpp|\.h|\.py)$
+        exclude: (?=third_party|pypinyin|speechx/speechx/kaldi).*(\.cpp|\.cc|\.h|\.py)$
 -   repo: https://github.com/asottile/reorder_python_imports
     rev: v2.4.0
     hooks:

dataset/voxceleb/voxceleb1.py

@@ -80,6 +80,7 @@ parser.add_argument(
 
 args = parser.parse_args()
 
+
 def create_manifest(data_dir, manifest_path_prefix):
     print("Creating manifest %s ..." % manifest_path_prefix)
     json_lines = []
@@ -128,6 +129,7 @@ def create_manifest(data_dir, manifest_path_prefix):
         print(f"{total_text / total_sec} text/sec", file=f)
         print(f"{total_sec / total_num} sec/utt", file=f)
 
+
 def prepare_dataset(base_url, data_list, target_dir, manifest_path,
                     target_data):
     if not os.path.exists(target_dir):
@@ -164,6 +166,7 @@ def prepare_dataset(base_url, data_list, target_dir, manifest_path,
     # create the manifest file
     create_manifest(data_dir=target_dir, manifest_path_prefix=manifest_path)
 
+
 def main():
     if args.target_dir.startswith('~'):
         args.target_dir = os.path.expanduser(args.target_dir)
@@ -184,5 +187,6 @@ def main():
 
     print("Manifest prepare done!")
 
+
 if __name__ == '__main__':
     main()

demos/speech_server/conf/asr/asr.yaml

@@ -5,4 +5,4 @@ cfg_path: # [optional]
 ckpt_path: # [optional]
 decode_method: 'attention_rescoring'
 force_yes: True
-device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+device: 'cpu'  # set 'gpu:id' or 'cpu'

demos/speech_server/conf/asr/asr_pd.yaml

@@ -15,7 +15,7 @@ decode_method:
 force_yes: True
 
 am_predictor_conf:
-  device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+  device: 'cpu'  # set 'gpu:id' or 'cpu'
   enable_mkldnn: True
   switch_ir_optim: True
 

demos/speech_server/conf/tts/tts.yaml

@@ -29,4 +29,4 @@ voc_stat:
 #                            OTHERS                              #
 ##################################################################
 lang: 'zh'
-device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+device: 'cpu'  # set 'gpu:id' or 'cpu'

demos/speech_server/conf/tts/tts_pd.yaml

@@ -15,7 +15,7 @@ speaker_dict:
 spk_id: 0
 
 am_predictor_conf:
-  device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+  device: 'cpu'  # set 'gpu:id' or 'cpu'
   enable_mkldnn: False
   switch_ir_optim: False
 
@@ -30,7 +30,7 @@ voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
 voc_sample_rate: 24000
 
 voc_predictor_conf:
-  device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+  device: 'cpu'  # set 'gpu:id' or 'cpu'
   enable_mkldnn: False  
   switch_ir_optim: False  
 

docs/topic/ctc/ctc_loss_compare.ipynb

@@ -30,12 +30,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Cloning into 'warp-ctc'...\n",
-      "remote: Enumerating objects: 829, done.\u001b[K\n",
-      "remote: Total 829 (delta 0), reused 0 (delta 0), pack-reused 829\u001b[K\n",
-      "Receiving objects: 100% (829/829), 388.85 KiB | 140.00 KiB/s, done.\n",
-      "Resolving deltas: 100% (419/419), done.\n",
-      "Checking connectivity... done.\n"
+      "fatal: destination path 'warp-ctc' already exists and is not an empty directory.\r\n"
      ]
     }
    ],
@@ -99,30 +94,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-- The C compiler identification is GNU 5.4.0\n",
-      "-- The CXX compiler identification is GNU 5.4.0\n",
-      "-- Check for working C compiler: /usr/bin/cc\n",
-      "-- Check for working C compiler: /usr/bin/cc -- works\n",
-      "-- Detecting C compiler ABI info\n",
-      "-- Detecting C compiler ABI info - done\n",
-      "-- Detecting C compile features\n",
-      "-- Detecting C compile features - done\n",
-      "-- Check for working CXX compiler: /usr/bin/c++\n",
-      "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
-      "-- Detecting CXX compiler ABI info\n",
-      "-- Detecting CXX compiler ABI info - done\n",
-      "-- Detecting CXX compile features\n",
-      "-- Detecting CXX compile features - done\n",
-      "-- Looking for pthread.h\n",
-      "-- Looking for pthread.h - found\n",
-      "-- Performing Test CMAKE_HAVE_LIBC_PTHREAD\n",
-      "-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed\n",
-      "-- Looking for pthread_create in pthreads\n",
-      "-- Looking for pthread_create in pthreads - not found\n",
-      "-- Looking for pthread_create in pthread\n",
-      "-- Looking for pthread_create in pthread - found\n",
-      "-- Found Threads: TRUE  \n",
-      "-- Found CUDA: /usr/local/cuda (found suitable version \"10.2\", minimum required is \"6.5\") \n",
       "-- cuda found TRUE\n",
       "-- Building shared library with GPU support\n",
       "-- Configuring done\n",
@@ -145,20 +116,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 11%] \u001b[34m\u001b[1mBuilding NVCC (Device) object CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o\u001b[0m\n",
-      "[ 22%] \u001b[34m\u001b[1mBuilding NVCC (Device) object CMakeFiles/warpctc.dir/src/warpctc_generated_ctc_entrypoint.cu.o\u001b[0m\n",
-      "\u001b[35m\u001b[1mScanning dependencies of target warpctc\u001b[0m\n",
-      "[ 33%] \u001b[32m\u001b[1mLinking CXX shared library libwarpctc.so\u001b[0m\n",
+      "[ 11%] \u001b[32m\u001b[1mLinking CXX shared library libwarpctc.so\u001b[0m\n",
       "[ 33%] Built target warpctc\n",
-      "[ 44%] \u001b[34m\u001b[1mBuilding NVCC (Device) object CMakeFiles/test_gpu.dir/tests/test_gpu_generated_test_gpu.cu.o\u001b[0m\n",
-      "\u001b[35m\u001b[1mScanning dependencies of target test_cpu\u001b[0m\n",
-      "[ 55%] \u001b[32mBuilding CXX object CMakeFiles/test_cpu.dir/tests/test_cpu.cpp.o\u001b[0m\n",
-      "[ 66%] \u001b[32mBuilding CXX object CMakeFiles/test_cpu.dir/tests/random.cpp.o\u001b[0m\n",
-      "[ 77%] \u001b[32m\u001b[1mLinking CXX executable test_cpu\u001b[0m\n",
+      "[ 44%] \u001b[32m\u001b[1mLinking CXX executable test_cpu\u001b[0m\n",
+      "[ 55%] \u001b[32m\u001b[1mLinking CXX executable test_gpu\u001b[0m\n",
       "[ 77%] Built target test_cpu\n",
-      "\u001b[35m\u001b[1mScanning dependencies of target test_gpu\u001b[0m\n",
-      "[ 88%] \u001b[32mBuilding CXX object CMakeFiles/test_gpu.dir/tests/random.cpp.o\u001b[0m\n",
-      "[100%] \u001b[32m\u001b[1mLinking CXX executable test_gpu\u001b[0m\n",
       "[100%] Built target test_gpu\n"
      ]
     }
@@ -169,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "31761a31",
    "metadata": {},
    "outputs": [
@@ -187,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "f53316f6",
    "metadata": {},
    "outputs": [
@@ -205,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "084f1e49",
    "metadata": {},
    "outputs": [
@@ -216,29 +178,20 @@
       "running install\n",
       "running bdist_egg\n",
       "running egg_info\n",
-      "creating warpctc_pytorch.egg-info\n",
       "writing warpctc_pytorch.egg-info/PKG-INFO\n",
       "writing dependency_links to warpctc_pytorch.egg-info/dependency_links.txt\n",
       "writing top-level names to warpctc_pytorch.egg-info/top_level.txt\n",
       "writing manifest file 'warpctc_pytorch.egg-info/SOURCES.txt'\n",
-      "writing manifest file 'warpctc_pytorch.egg-info/SOURCES.txt'\n",
       "installing library code to build/bdist.linux-x86_64/egg\n",
       "running install_lib\n",
       "running build_py\n",
-      "creating build\n",
-      "creating build/lib.linux-x86_64-3.9\n",
-      "creating build/lib.linux-x86_64-3.9/warpctc_pytorch\n",
-      "copying warpctc_pytorch/__init__.py -> build/lib.linux-x86_64-3.9/warpctc_pytorch\n",
       "running build_ext\n",
       "building 'warpctc_pytorch._warp_ctc' extension\n",
-      "creating /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9\n",
-      "creating /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9/src\n",
       "Emitting ninja build file /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9/build.ninja...\n",
       "Compiling objects...\n",
       "Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\n",
-      "[1/1] c++ -MMD -MF /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9/src/binding.o.d -pthread -B /workspace/zhanghui/DeepSpeech-2.x/tools/venv/compiler_compat -Wl,--sysroot=/ -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /workspace/zhanghui/DeepSpeech-2.x/tools/venv/include -fPIC -O2 -isystem /workspace/zhanghui/DeepSpeech-2.x/tools/venv/include -fPIC -I/workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/include -I/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib/python3.9/site-packages/torch/include -I/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib/python3.9/site-packages/torch/include/TH -I/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib/python3.9/site-packages/torch/include/THC -I/usr/local/cuda/include -I/workspace/zhanghui/DeepSpeech-2.x/tools/venv/include/python3.9 -c -c /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/src/binding.cpp -o /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9/src/binding.o -std=c++14 -fPIC -DWARPCTC_ENABLE_GPU -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_warp_ctc -D_GLIBCXX_USE_CXX11_ABI=0\n",
+      "ninja: no work to do.\n",
       "g++ -pthread -B /workspace/zhanghui/DeepSpeech-2.x/tools/venv/compiler_compat -Wl,--sysroot=/ -shared -Wl,-rpath,/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib -Wl,-rpath-link,/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib -L/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib -Wl,-rpath,/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib -Wl,-rpath-link,/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib -L/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib /workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/pytorch_binding/build/temp.linux-x86_64-3.9/src/binding.o -L/workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/build -L/workspace/zhanghui/DeepSpeech-2.x/tools/venv/lib/python3.9/site-packages/torch/lib -L/usr/local/cuda/lib64 -lwarpctc -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.9/warpctc_pytorch/_warp_ctc.cpython-39-x86_64-linux-gnu.so -Wl,-rpath,/workspace/zhanghui/DeepSpeech-2.x/docs/topic/ctc/warp-ctc/build\n",
-      "creating build/bdist.linux-x86_64\n",
       "creating build/bdist.linux-x86_64/egg\n",
       "creating build/bdist.linux-x86_64/egg/warpctc_pytorch\n",
       "copying build/lib.linux-x86_64-3.9/warpctc_pytorch/__init__.py -> build/bdist.linux-x86_64/egg/warpctc_pytorch\n",
@@ -254,7 +207,6 @@
       "writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt\n",
       "zip_safe flag not set; analyzing archive contents...\n",
       "warpctc_pytorch.__pycache__._warp_ctc.cpython-39: module references __file__\n",
-      "creating dist\n",
       "creating 'dist/warpctc_pytorch-0.1-py3.9-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n",
       "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n",
       "Processing warpctc_pytorch-0.1-py3.9-linux-x86_64.egg\n",
@@ -275,7 +227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "ee4ca9e3",
    "metadata": {},
    "outputs": [
@@ -293,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "59255ed8",
    "metadata": {},
    "outputs": [
@@ -311,21 +263,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 22,
    "id": "1dae09b9",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "grep: warning: GREP_OPTIONS is deprecated; please use an alias or script\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import torch\n",
     "import torch.nn as nn\n",
+    "import torch.nn.functional as F\n",
     "import warpctc_pytorch as wp\n",
     "import paddle.nn as pn\n",
     "import paddle"
@@ -333,7 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "83d0762e",
    "metadata": {},
    "outputs": [
@@ -343,7 +288,7 @@
        "'1.10.0+cu102'"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,17 +299,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "62501e2c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'2.2.0'"
+       "'2.2.1'"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -375,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "9e8e0f40",
    "metadata": {},
    "outputs": [
@@ -392,6 +337,7 @@
     }
    ],
    "source": [
+    "# warpctc_pytorch CTCLoss\n",
     "probs = torch.FloatTensor([[\n",
     "        [0.1, 0.6, 0.1, 0.1, 0.1], [0.1, 0.1, 0.6, 0.1, 0.1]\n",
     "    ]]).transpose(0, 1).contiguous()\n",
@@ -412,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "id": "2cd46569",
    "metadata": {},
    "outputs": [
@@ -428,6 +374,7 @@
     }
    ],
    "source": [
+    "# pytorch CTCLoss\n",
     "probs = torch.FloatTensor([[\n",
     "        [0.1, 0.6, 0.1, 0.1, 0.1], [0.1, 0.1, 0.6, 0.1, 0.1]\n",
     "    ]]).transpose(0, 1).contiguous()\n",
@@ -449,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 27,
    "id": "85c3461a",
    "metadata": {},
    "outputs": [
@@ -467,6 +414,7 @@
     }
    ],
    "source": [
+    "# Paddle CTCLoss\n",
     "paddle.set_device('cpu')\n",
     "probs = paddle.to_tensor([[\n",
     "        [0.1, 0.6, 0.1, 0.1, 0.1], [0.1, 0.1, 0.6, 0.1, 0.1],\n",
@@ -490,7 +438,55 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d390cd91",
+   "id": "8cdf76c2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "2c305eaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "torch.Size([2, 1, 5])\n",
+      "2.4628584384918213\n",
+      "[[[ 0.17703117 -0.7081247   0.17703117  0.17703117  0.17703117]]\n",
+      "\n",
+      " [[ 0.17703117  0.17703117 -0.7081247   0.17703117  0.17703117]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# warpctc_pytorch CTCLoss, log_softmax idempotent\n",
+    "probs = torch.FloatTensor([[\n",
+    "        [0.1, 0.6, 0.1, 0.1, 0.1], [0.1, 0.1, 0.6, 0.1, 0.1]\n",
+    "    ]]).transpose(0, 1).contiguous()\n",
+    "print(probs.size())\n",
+    "labels = torch.IntTensor([1, 2])\n",
+    "label_sizes = torch.IntTensor([2])\n",
+    "probs_sizes = torch.IntTensor([2])\n",
+    "probs.requires_grad_(True)\n",
+    "bs = probs.size(1)\n",
+    "\n",
+    "ctc_loss = wp.CTCLoss(size_average=False, length_average=False)\n",
+    "\n",
+    "log_probs = torch.log_softmax(probs, axis=-1)\n",
+    "cost = ctc_loss(log_probs, labels, probs_sizes, label_sizes)\n",
+    "cost = cost.sum() / bs\n",
+    "print(cost.item())\n",
+    "cost.backward()\n",
+    "print(probs.grad.numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "443336f0",
    "metadata": {},
    "outputs": [],
    "source": []

examples/ami/sd0/local/ami_prepare.py

@@ -22,19 +22,17 @@ Authors
  * qingenz123@126.com (Qingen ZHAO) 2022
 
 """
-
-import os
-import logging
 import argparse
-import xml.etree.ElementTree as et
 import glob
 import json
-from ami_splits import get_AMI_split
+import logging
+import os
+import xml.etree.ElementTree as et
 from distutils.util import strtobool
 
-from dataio import (
-    load_pkl,
-    save_pkl, )
+from ami_splits import get_AMI_split
+from dataio import load_pkl
+from dataio import save_pkl
 
 logger = logging.getLogger(__name__)
 SAMPLERATE = 16000

examples/voxceleb/sv0/local/make_voxceleb_kaldi_trial.py

@@ -12,28 +12,30 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 """
 Make VoxCeleb1 trial of kaldi format
 this script creat the test trial from kaldi trial voxceleb1_test_v2.txt or official trial veri_test2.txt 
 to kaldi trial format
 """
-
 import argparse
 import codecs
 import os
 
 parser = argparse.ArgumentParser(description=__doc__)
-parser.add_argument("--voxceleb_trial",
-                    default="voxceleb1_test_v2",
-                    type=str,
-                    help="VoxCeleb trial file. Default we use the kaldi trial voxceleb1_test_v2.txt")
-parser.add_argument("--trial",
-                    default="data/test/trial",
-                    type=str,
-                    help="Kaldi format trial file")
+parser.add_argument(
+    "--voxceleb_trial",
+    default="voxceleb1_test_v2",
+    type=str,
+    help="VoxCeleb trial file. Default we use the kaldi trial voxceleb1_test_v2.txt"
+)
+parser.add_argument(
+    "--trial",
+    default="data/test/trial",
+    type=str,
+    help="Kaldi format trial file")
 args = parser.parse_args()
 
+
 def main(voxceleb_trial, trial):
     """
         VoxCeleb provide several trial file, which format is different with kaldi format.
@@ -58,7 +60,9 @@ def main(voxceleb_trial, trial):
     """
     print("Start convert the voxceleb trial to kaldi format")
     if not os.path.exists(voxceleb_trial):
-        raise RuntimeError("{} does not exist. Pleas input the correct file path".format(voxceleb_trial))
+        raise RuntimeError(
+            "{} does not exist. Pleas input the correct file path".format(
+                voxceleb_trial))
 
     trial_dirname = os.path.dirname(trial)
     if not os.path.exists(trial_dirname):
@@ -66,9 +70,9 @@ def main(voxceleb_trial, trial):
 
     with codecs.open(voxceleb_trial, 'r', encoding='utf-8') as f, \
          codecs.open(trial, 'w', encoding='utf-8') as w:
-         for line in f:
+        for line in f:
             target_or_nontarget, path1, path2 = line.strip().split()
-             
+
             utt_id1 = "-".join(path1.split("/"))
             utt_id2 = "-".join(path2.split("/"))
             target = "nontarget"
@@ -77,5 +81,6 @@ def main(voxceleb_trial, trial):
             w.write("{} {} {}\n".format(utt_id1, utt_id2, target))
     print("Convert the voxceleb trial to kaldi format successfully")
 
+
 if __name__ == "__main__":
     main(args.voxceleb_trial, args.trial)

paddlespeech/__init__.py

@@ -11,14 +11,3 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
-
-
-
-
-
-
-
-
-
-

paddlespeech/cli/asr/infer.py

@@ -413,7 +413,8 @@ class ASRExecutor(BaseExecutor):
     def _check(self, audio_file: str, sample_rate: int, force_yes: bool):
         self.sample_rate = sample_rate
         if self.sample_rate != 16000 and self.sample_rate != 8000:
-            logger.error("invalid sample rate, please input --sr 8000 or --sr 16000")
+            logger.error(
+                "invalid sample rate, please input --sr 8000 or --sr 16000")
             return False
 
         if isinstance(audio_file, (str, os.PathLike)):

paddlespeech/s2t/io/utility.py

@@ -11,8 +11,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import List
 from io import BytesIO
+from typing import List
 
 import numpy as np
 

paddlespeech/server/bin/main.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import argparse
+
 import uvicorn
-import yaml
 from fastapi import FastAPI
 
 from paddlespeech.server.engine.engine_pool import init_engine_pool

paddlespeech/server/bin/paddlespeech_client.py

@@ -48,8 +48,9 @@ class TTSClientExecutor(BaseExecutor):
         self.parser.add_argument(
             '--input',
             type=str,
-            default="你好，欢迎使用语音合成服务",
-            help='A sentence to be synthesized.')
+            default=None,
+            help='Text to be synthesized.',
+            required=True)
         self.parser.add_argument(
             '--spk_id', type=int, default=0, help='Speaker id')
         self.parser.add_argument(
@@ -123,7 +124,7 @@ class TTSClientExecutor(BaseExecutor):
             logger.info("RTF: %f " % (time_consume / duration))
 
             return True
-        except:
+        except BaseException:
             logger.error("Failed to synthesized audio.")
             return False
 
@@ -163,7 +164,7 @@ class TTSClientExecutor(BaseExecutor):
             print("Audio duration: %f s." % (duration))
             print("Response time: %f s." % (time_consume))
             print("RTF: %f " % (time_consume / duration))
-        except:
+        except BaseException:
             print("Failed to synthesized audio.")
 
 
@@ -181,8 +182,9 @@ class ASRClientExecutor(BaseExecutor):
         self.parser.add_argument(
             '--input',
             type=str,
-            default="./paddlespeech/server/tests/16_audio.wav",
-            help='Audio file to be recognized')
+            default=None,
+            help='Audio file to be recognized',
+            required=True)
         self.parser.add_argument(
             '--sample_rate', type=int, default=16000, help='audio sample rate')
         self.parser.add_argument(
@@ -209,7 +211,7 @@ class ASRClientExecutor(BaseExecutor):
             logger.info(r.json())
             logger.info("time cost %f s." % (time_end - time_start))
             return True
-        except:
+        except BaseException:
             logger.error("Failed to speech recognition.")
             return False
 
@@ -240,5 +242,5 @@ class ASRClientExecutor(BaseExecutor):
             time_end = time.time()
             print(r.json())
             print("time cost %f s." % (time_end - time_start))
-        except:
-            print("Failed to speech recognition.")
+        except BaseException:
+            print("Failed to speech recognition.")
\ No newline at end of file

paddlespeech/server/bin/paddlespeech_server.py

@@ -41,7 +41,8 @@ class ServerExecutor(BaseExecutor):
             "--config_file",
             action="store",
             help="yaml file of the app",
-            default="./conf/application.yaml")
+            default=None,
+            required=True)
 
         self.parser.add_argument(
             "--log_file",

paddlespeech/server/conf/asr/asr.yaml

@@ -5,4 +5,4 @@ cfg_path: # [optional]
 ckpt_path: # [optional]
 decode_method: 'attention_rescoring'
 force_yes: True
-device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+device: 'cpu'  # set 'gpu:id' or 'cpu'

paddlespeech/server/conf/asr/asr_pd.yaml

@@ -15,7 +15,7 @@ decode_method:
 force_yes: True
 
 am_predictor_conf:
-  device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+  device: 'cpu'  # set 'gpu:id' or 'cpu'
   enable_mkldnn: True
   switch_ir_optim: True
 

paddlespeech/server/conf/tts/tts.yaml

@@ -29,4 +29,4 @@ voc_stat:
 #                            OTHERS                              #
 ##################################################################
 lang: 'zh'
-device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+device: 'cpu'  # set 'gpu:id' or 'cpu'

paddlespeech/server/conf/tts/tts_pd.yaml

@@ -15,7 +15,7 @@ speaker_dict:
 spk_id: 0
 
 am_predictor_conf:
-  device: 'gpu:3'  # set 'gpu:id' or 'cpu'
+  device: 'cpu'  # set 'gpu:id' or 'cpu'
   enable_mkldnn: False
   switch_ir_optim: False
 
@@ -30,7 +30,7 @@ voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams)
 voc_sample_rate: 24000    #must match the model
 
 voc_predictor_conf:
-  device: 'gpu:3'   # set 'gpu:id' or 'cpu'
+  device: 'cpu'   # set 'gpu:id' or 'cpu'
   enable_mkldnn: False
   switch_ir_optim: False  
 

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

@@ -13,31 +13,24 @@
 # limitations under the License.
 import io
 import os
-from typing import List
 from typing import Optional
-from typing import Union
 
-import librosa
 import paddle
-import soundfile
 from yacs.config import CfgNode
 
-from paddlespeech.cli.utils import MODEL_HOME
-from paddlespeech.s2t.modules.ctc import CTCDecoder
 from paddlespeech.cli.asr.infer import ASRExecutor
 from paddlespeech.cli.log import logger
+from paddlespeech.cli.utils import MODEL_HOME
 from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
-from paddlespeech.s2t.transform.transformation import Transformation
-from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+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
-from paddlespeech.server.engine.base_engine import BaseEngine
 
 __all__ = ['ASREngine']
 
-
 pretrained_models = {
     "deepspeech2offline_aishell-zh-16k": {
         'url':
@@ -143,7 +136,6 @@ class ASRServerExecutor(ASRExecutor):
             batch_average=True,  # sum / batch_size
             grad_norm_type=self.config.get('ctc_grad_norm_type', None))
 
-
     @paddle.no_grad()
     def infer(self, model_type: str):
         """
@@ -161,9 +153,8 @@ class ASRServerExecutor(ASRExecutor):
                 cfg.beam_size, cfg.cutoff_prob, cfg.cutoff_top_n,
                 cfg.num_proc_bsearch)
 
-            output_data = run_model(
-                                self.am_predictor,
-                                [audio.numpy(), audio_len.numpy()])
+            output_data = run_model(self.am_predictor,
+                                    [audio.numpy(), audio_len.numpy()])
 
             probs = output_data[0]
             eouts_len = output_data[1]
@@ -208,14 +199,14 @@ class ASREngine(BaseEngine):
 
         paddle.set_device(paddle.get_device())
         self.executor._init_from_path(
-                    model_type=self.config.model_type,
-                    am_model=self.config.am_model,
-                    am_params=self.config.am_params,
-                    lang=self.config.lang,
-                    sample_rate=self.config.sample_rate,
-                    cfg_path=self.config.cfg_path,
-                    decode_method=self.config.decode_method,
-                    am_predictor_conf=self.config.am_predictor_conf)
+            model_type=self.config.model_type,
+            am_model=self.config.am_model,
+            am_params=self.config.am_params,
+            lang=self.config.lang,
+            sample_rate=self.config.sample_rate,
+            cfg_path=self.config.cfg_path,
+            decode_method=self.config.decode_method,
+            am_predictor_conf=self.config.am_predictor_conf)
 
         logger.info("Initialize ASR server engine successfully.")
         return True
@@ -230,7 +221,8 @@ class ASREngine(BaseEngine):
                 io.BytesIO(audio_data), self.config.sample_rate,
                 self.config.force_yes):
             logger.info("start running asr engine")
-            self.executor.preprocess(self.config.model_type, io.BytesIO(audio_data))
+            self.executor.preprocess(self.config.model_type,
+                                     io.BytesIO(audio_data))
             self.executor.infer(self.config.model_type)
             self.output = self.executor.postprocess()  # Retrieve result of asr.
             logger.info("end inferring asr engine")

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

@@ -53,7 +53,10 @@ class ASREngine(BaseEngine):
         self.executor = ASRServerExecutor()
 
         self.config = get_config(config_file)
-        paddle.set_device(self.config.device)
+        if self.config.device is None:
+            paddle.set_device(paddle.get_device())
+        else:
+            paddle.set_device(self.config.device)
         self.executor._init_from_path(
             self.config.model, self.config.lang, self.config.sample_rate,
             self.config.cfg_path, self.config.decode_method,

paddlespeech/server/engine/base_engine.py

@@ -12,8 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import os
-from typing import Any
-from typing import List
 from typing import Union
 
 from pattern_singleton import Singleton

paddlespeech/server/engine/engine_factory.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 from typing import Text
 
-
 __all__ = ['EngineFactory']
 
 

paddlespeech/server/engine/engine_pool.py

@@ -29,8 +29,10 @@ def init_engine_pool(config) -> bool:
     """
     global ENGINE_POOL
     for engine in config.engine_backend:
-        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_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]):
             return False
 
     return True

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

@@ -360,8 +360,8 @@ class TTSEngine(BaseEngine):
                 am_predictor_conf=self.config.am_predictor_conf,
                 voc_predictor_conf=self.config.voc_predictor_conf, )
 
-        except:
-            logger.info("Initialize TTS server engine Failed.")
+        except BaseException:
+            logger.error("Initialize TTS server engine Failed.")
             return False
 
         logger.info("Initialize TTS server engine successfully.")
@@ -405,11 +405,13 @@ class TTSEngine(BaseEngine):
         # transform speed
         try:  # windows not support soxbindings
             wav_speed = change_speed(wav_vol, speed, target_fs)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(
                 ErrorCode.SERVER_INTERNAL_ERR,
                 "Transform speed failed. Can not install soxbindings on your system. \
                  You need to set speed value 1.0.")
+        except BaseException:
+            logger.error("Transform speed failed.")
 
         # wav to base64
         buf = io.BytesIO()
@@ -462,9 +464,11 @@ class TTSEngine(BaseEngine):
         try:
             self.executor.infer(
                 text=sentence, lang=lang, am=self.config.am, spk_id=spk_id)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
                                       "tts infer failed.")
+        except BaseException:
+            logger.error("tts infer failed.")
 
         try:
             target_sample_rate, wav_base64 = self.postprocess(
@@ -474,8 +478,10 @@ class TTSEngine(BaseEngine):
                 volume=volume,
                 speed=speed,
                 audio_path=save_path)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
                                       "tts postprocess failed.")
+        except BaseException:
+            logger.error("tts postprocess failed.")
 
         return lang, target_sample_rate, wav_base64

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

@@ -54,7 +54,10 @@ class TTSEngine(BaseEngine):
 
         try:
             self.config = get_config(config_file)
-            paddle.set_device(self.config.device)
+            if self.config.device is None:
+                paddle.set_device(paddle.get_device())
+            else:
+                paddle.set_device(self.config.device)
 
             self.executor._init_from_path(
                 am=self.config.am,
@@ -69,8 +72,8 @@ class TTSEngine(BaseEngine):
                 voc_ckpt=self.config.voc_ckpt,
                 voc_stat=self.config.voc_stat,
                 lang=self.config.lang)
-        except:
-            logger.info("Initialize TTS server engine Failed.")
+        except BaseException:
+            logger.error("Initialize TTS server engine Failed.")
             return False
 
         logger.info("Initialize TTS server engine successfully.")
@@ -114,10 +117,13 @@ class TTSEngine(BaseEngine):
         # transform speed
         try:  # windows not support soxbindings
             wav_speed = change_speed(wav_vol, speed, target_fs)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(
                 ErrorCode.SERVER_INTERNAL_ERR,
-                "Can not install soxbindings on your system.")
+                "Transform speed failed. Can not install soxbindings on your system. \
+                 You need to set speed value 1.0.")
+        except BaseException:
+            logger.error("Transform speed failed.")
 
         # wav to base64
         buf = io.BytesIO()
@@ -170,9 +176,11 @@ class TTSEngine(BaseEngine):
         try:
             self.executor.infer(
                 text=sentence, lang=lang, am=self.config.am, spk_id=spk_id)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
                                       "tts infer failed.")
+        except BaseException:
+            logger.error("tts infer failed.")
 
         try:
             target_sample_rate, wav_base64 = self.postprocess(
@@ -182,8 +190,10 @@ class TTSEngine(BaseEngine):
                 volume=volume,
                 speed=speed,
                 audio_path=save_path)
-        except:
+        except ServerBaseException:
             raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
                                       "tts postprocess failed.")
+        except BaseException:
+            logger.error("tts postprocess failed.")
 
         return lang, target_sample_rate, wav_base64

paddlespeech/server/restful/asr_api.py

@@ -14,6 +14,7 @@
 import base64
 import traceback
 from typing import Union
+
 from fastapi import APIRouter
 
 from paddlespeech.server.engine.engine_pool import get_engine_pool
@@ -83,7 +84,7 @@ def asr(request_body: ASRRequest):
 
     except ServerBaseException as e:
         response = failed_response(e.error_code, e.msg)
-    except:
+    except BaseException:
         response = failed_response(ErrorCode.SERVER_UNKOWN_ERR)
         traceback.print_exc()
 

paddlespeech/server/restful/request.py

@@ -11,7 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import List
 from typing import Optional
 
 from pydantic import BaseModel

paddlespeech/server/restful/response.py

@@ -11,9 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import List
-from typing import Optional
-
 from pydantic import BaseModel
 
 __all__ = ['ASRResponse', 'TTSResponse']

paddlespeech/server/restful/tts_api.py

@@ -114,7 +114,7 @@ def tts(request_body: TTSRequest):
         }
     except ServerBaseException as e:
         response = failed_response(e.error_code, e.msg)
-    except:
+    except BaseException:
         response = failed_response(ErrorCode.SERVER_UNKOWN_ERR)
         traceback.print_exc()
 

paddlespeech/server/tests/asr/http_client.py

@@ -10,11 +10,11 @@
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the 
-import requests
+import base64
 import json
 import time
-import base64
-import io
+
+import requests
 
 
 def readwav2base64(wav_file):
@@ -34,23 +34,23 @@ def main():
     url = "http://127.0.0.1:8090/paddlespeech/asr"
 
     # start Timestamp
-    time_start=time.time()
+    time_start = time.time()
 
     test_audio_dir = "./16_audio.wav"
     audio = readwav2base64(test_audio_dir)
 
     data = {
-            "audio": audio,
-            "audio_format": "wav",
-            "sample_rate": 16000,
-            "lang": "zh_cn",
-            }
+        "audio": audio,
+        "audio_format": "wav",
+        "sample_rate": 16000,
+        "lang": "zh_cn",
+    }
 
     r = requests.post(url=url, data=json.dumps(data))
 
     # ending Timestamp
-    time_end=time.time()
-    print('time cost',time_end - time_start, 's')
+    time_end = time.time()
+    print('time cost', time_end - time_start, 's')
 
     print(r.json())
 

paddlespeech/server/tests/tts/test_client.py

@@ -25,6 +25,7 @@ import soundfile
 
 from paddlespeech.server.utils.audio_process import wav2pcm
 
+
 # Request and response
 def tts_client(args):
     """ Request and response
@@ -99,5 +100,5 @@ if __name__ == "__main__":
         print("Inference time: %f" % (time_consume))
         print("The duration of synthesized audio: %f" % (duration))
         print("The RTF is: %f" % (rtf))
-    except:
+    except BaseException:
         print("Failed to synthesized audio.")

paddlespeech/server/util.py

@@ -219,7 +219,7 @@ class ConfigCache:
             try:
                 cfg = yaml.load(file, Loader=yaml.FullLoader)
                 self._data.update(cfg)
-            except:
+            except BaseException:
                 self.flush()
 
     @property

paddlespeech/t2s/datasets/dataset.py

@@ -258,4 +258,4 @@ class ChainDataset(Dataset):
                 return dataset[i]
             i -= len(dataset)
 
-        raise IndexError("dataset index out of range")
+        raise IndexError("dataset index out of range")
\ No newline at end of file

requirements.txt

-ConfigArgParse
-coverage
-editdistance
-g2p_en
-g2pM
-gpustat
-h5py
-inflect
-jieba
-jsonlines
-kaldiio
-librosa
-loguru
-matplotlib
-nara_wpe
-nltk
-paddleaudio
-paddlenlp
-paddlespeech_ctcdecoders
-paddlespeech_feat
-pandas
-phkit
-Pillow
-praatio==5.0.0
-pre-commit
-pybind11
-pypi-kenlm
-pypinyin
-python-dateutil
-pyworld
-resampy==0.2.2
-sacrebleu
-scipy
-sentencepiece~=0.1.96
-snakeviz
-soundfile~=0.10
-sox
-soxbindings
-textgrid
-timer
-tqdm
-typeguard
-unidecode
-visualdl
-webrtcvad
-yacs~=0.1.8
-yq
-zhon

setup.py

@@ -27,47 +27,53 @@ from setuptools.command.install import install
 
 HERE = Path(os.path.abspath(os.path.dirname(__file__)))
 
-VERSION = '0.1.1'
+VERSION = '0.1.2'
+
+base = [
+    "editdistance",
+    "g2p_en",
+    "g2pM",
+    "h5py",
+    "inflect",
+    "jieba",
+    "jsonlines",
+    "kaldiio",
+    "librosa==0.8.1",
+    "loguru",
+    "matplotlib",
+    "nara_wpe",
+    "pandas",
+    "paddleaudio",
+    "paddlenlp",
+    "paddlespeech_feat",
+    "praatio==5.0.0",
+    "pypinyin",
+    "python-dateutil",
+    "pyworld",
+    "resampy==0.2.2",
+    "sacrebleu",
+    "scipy",
+    "sentencepiece~=0.1.96",
+    "soundfile~=0.10",
+    "textgrid",
+    "timer",
+    "tqdm",
+    "typeguard",
+    "visualdl",
+    "webrtcvad",
+    "yacs~=0.1.8",
+]
+
+server = [
+    "fastapi",
+    "uvicorn",
+    "pattern_singleton",
+    "prettytable",
+]
 
 requirements = {
-    "install": [
-        "editdistance",
-        "g2p_en",
-        "g2pM",
-        "h5py",
-        "inflect",
-        "jieba",
-        "jsonlines",
-        "kaldiio",
-        "librosa",
-        "loguru",
-        "matplotlib",
-        "nara_wpe",
-        "pandas",
-        "paddleaudio",
-        "paddlenlp",
-        "paddlespeech_feat",
-        "praatio==5.0.0",
-        "pypinyin",
-        "python-dateutil",
-        "pyworld",
-        "resampy==0.2.2",
-        "sacrebleu",
-        "scipy",
-        "sentencepiece~=0.1.96",
-        "soundfile~=0.10",
-        "textgrid",
-        "timer",
-        "tqdm",
-        "typeguard",
-        "visualdl",
-        "webrtcvad",
-        "yacs~=0.1.8",
-        # fastapi server
-        "fastapi",
-        "uvicorn",
-        "prettytable"
-    ],
+    "install":
+    base + server,
     "develop": [
         "ConfigArgParse",
         "coverage",

utils/DER.py

@@ -23,10 +23,11 @@ Credits
  This code is adapted from https://github.com/nryant/dscore
 """
 import argparse
-from distutils.util import strtobool
 import os
 import re
 import subprocess
+from distutils.util import strtobool
+
 import numpy as np
 
 FILE_IDS = re.compile(r"(?<=Speaker Diarization for).+(?=\*\*\*)")