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DeepSpeech
未验证 提交 a9422260 编写于 作者: H Hui Zhang 提交者： GitHub
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Merge pull request #1483 from zh794390558/doc 

[doc] update ctc loss compare
上级 fe350ddd 6b1fe701
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Showing with 109 addition and 114 deletion
.pre-commit-config.yaml
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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()
docs/topic/ctc/ctc_loss_compare.ipynb
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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
浏览文件 @ a9422260
......@@ -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/t2s/datasets/dataset.py
浏览文件 @ a9422260
......@@ -258,4 +258,4 @@ class ChainDataset(Dataset):
return dataset[i]
i -= len(dataset)
raise IndexError("dataset index out of range")
\ No newline at end of file
raise IndexError("dataset index out of range")
utils/DER.py
浏览文件 @ a9422260
......@@ -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).+(?=\*\*\*)")
......
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