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fix some variables

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This commit is contained in:
lyblsgo 2023-04-19 11:33:08 +08:00
parent 4175b38a91
commit 2304327a3f
71 changed files with 8874 additions and 552 deletions
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3
funasr/runtime/onnxruntime/CMakeLists.txt
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@ -25,6 +25,9 @@ ELSE()
link_directories(${ONNXRUNTIME_DIR}/lib)
endif()
include_directories(${PROJECT_SOURCE_DIR}/kaldi-native-fbank)
add_subdirectory("./third_party/yaml-cpp")
add_subdirectory(kaldi-native-fbank/kaldi-native-fbank/csrc)
add_subdirectory(src)
add_subdirectory(tester)

9
funasr/runtime/onnxruntime/kaldi-native-fbank/.clang-format Normal file
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@ -0,0 +1,9 @@
---
BasedOnStyle: Google
---
Language: Cpp
Cpp11BracedListStyle: true
Standard: Cpp11
DerivePointerAlignment: false
PointerAlignment: Right
---

70
funasr/runtime/onnxruntime/kaldi-native-fbank/.github/workflows/linux-macos.yaml vendored Normal file
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@ -0,0 +1,70 @@
name: linux-macos
on:
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: linux-macos-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
linux_macos:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest]
steps:
- uses: actions/checkout@v2
with:
fetch-depth: 0
- name: Configure Cmake
shell: bash
run: |
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=Release ..
- name: Build kaldi-native-fbank for ubuntu/macos
if: startsWith(matrix.os, 'ubuntu') || startsWith(matrix.os, 'macos')
run: |
cd build
make -j2
ctest --output-on-failure
- name: Run tests for ubuntu/macos
if: startsWith(matrix.os, 'ubuntu') || startsWith(matrix.os, 'macos')
run: |
cd build
ctest --output-on-failure
- name: Setup Python
uses: actions/setup-python@v2
with:
python-version: "3.8"
- name: Install Python dependencies
shell: bash
run: |
python3 -m pip install --upgrade pip
python3 -m pip install wheel twine setuptools
- name: Build Python
shell: bash
run: |
python3 setup.py install
- name: Display Python package version
shell: bash
run: |
python3 -c "import kaldi_native_fbank; print(kaldi_native_fbank.__version__)"

97
funasr/runtime/onnxruntime/kaldi-native-fbank/.github/workflows/windows-x64.yaml vendored Normal file
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@ -0,0 +1,97 @@
name: windows-x64
on:
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: windows-x64-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
windows_x64:
runs-on: ${{ matrix.os }}
name: ${{ matrix.vs-version }}
strategy:
fail-fast: false
matrix:
include:
- vs-version: vs2015
toolset-version: v140
os: windows-2019
- vs-version: vs2017
toolset-version: v141
os: windows-2019
- vs-version: vs2019
toolset-version: v142
os: windows-2022
- vs-version: vs2022
toolset-version: v143
os: windows-2022
steps:
- uses: actions/checkout@v2
with:
fetch-depth: 0
- name: Configure CMake
shell: bash
run: |
mkdir build
cd build
cmake -T ${{ matrix.toolset-version}},host=x64 -D CMAKE_BUILD_TYPE=Release ..
- name: Build kaldi-native-fbank for windows
shell: bash
run: |
cd build
cmake --build . --target ALL_BUILD --config Release
cat CMakeCache.txt
- name: Run tests for windows
shell: bash
run: |
cd build
ctest --verbose -C Release --output-on-failure -E py
- name: Setup Python
uses: actions/setup-python@v2
with:
python-version: "3.8"
- name: Install Python dependencies
shell: bash
run: |
export KALDI_NATIVE_FBANK_CMAKE_ARGS="-T ${{ matrix.toolset-version}},host=x64 -A x64"
python3 -m pip install --upgrade pip pytest
python3 -m pip install wheel twine setuptools
- name: Build Python
shell: bash
run: |
export KALDI_NATIVE_FBANK_CMAKE_ARGS="-T ${{ matrix.toolset-version}},host=x64 -A x64"
python3 setup.py install
- name: Display Python package version
shell: bash
run: |
python3 -c "import kaldi_native_fbank; print(kaldi_native_fbank.__version__)"
- name: Run Python tests
shell: bash
run: |
cd kaldi-native-fbank/python/tests
python3 ./test_fbank_options.py
python3 ./test_frame_extraction_options.py
python3 ./test_mel_bank_options.py

67
funasr/runtime/onnxruntime/kaldi-native-fbank/.github/workflows/windows-x86.yaml vendored Normal file
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@ -0,0 +1,67 @@
name: windows-x86
on:
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: windows-x86-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
windows_x86:
runs-on: ${{ matrix.os }}
name: ${{ matrix.vs-version }}
strategy:
fail-fast: false
matrix:
include:
- vs-version: vs2015
toolset-version: v140
os: windows-2019
- vs-version: vs2017
toolset-version: v141
os: windows-2019
- vs-version: vs2019
toolset-version: v142
os: windows-2022
- vs-version: vs2022
toolset-version: v143
os: windows-2022
steps:
- uses: actions/checkout@v2
with:
fetch-depth: 0
- name: Configure CMake
shell: bash
run: |
mkdir build
cd build
cmake -T ${{ matrix.toolset-version}},host=x64 -A Win32 -D CMAKE_BUILD_TYPE=Release -DKALDI_NATIVE_FBANK_BUILD_PYTHON=OFF ..
cat CMakeCache.txt
- name: Build kaldi-native-fbank for windows
shell: bash
run: |
cd build
cmake --build . --target ALL_BUILD --config Release
- name: Run tests for windows
shell: bash
run: |
cd build
ctest --verbose -C Release --output-on-failure -E py

115
funasr/runtime/onnxruntime/kaldi-native-fbank/CMakeLists.txt Normal file
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@ -0,0 +1,115 @@
if("x${CMAKE_SOURCE_DIR}" STREQUAL "x${CMAKE_BINARY_DIR}")
message(FATAL_ERROR "\
In-source build is not a good practice.
Please use:
mkdir build
cd build
cmake ..
to build this project"
)
endif()
if(CMAKE_TOOLCHAIN_FILE)
set(_BUILD_PYTHON OFF)
set(_BUILD_TESTS OFF)
else()
set(_BUILD_PYTHON ON)
set(_BUILD_TESTS ON)
endif()
if(POLICY CMP0057)
cmake_policy(SET CMP0057 NEW)
endif()
cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
project(kaldi-native-fbank CXX C)
set(KALDI_NATIVE_FBANK_VERSION "1.13")
if(NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE Release)
endif()
message(STATUS "CMAKE_BUILD_TYPE: ${CMAKE_BUILD_TYPE}")
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/bin")
set(CMAKE_SKIP_BUILD_RPATH FALSE)
set(BUILD_RPATH_USE_ORIGIN TRUE)
set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
if(NOT APPLE)
set(kaldi_native_fbank_rpath_origin "$ORIGIN")
else()
set(kaldi_native_fbank_rpath_origin "@loader_path")
endif()
set(CMAKE_INSTALL_RPATH ${kaldi_native_fbank_rpath_origin})
set(CMAKE_BUILD_RPATH ${kaldi_native_fbank_rpath_origin})
set(CMAKE_CXX_STANDARD 14 CACHE STRING "The C++ version to be used.")
if(NOT DEFINED BUILD_SHARED_LIBS)
set(BUILD_SHARED_LIBS ON)
endif()
message(STATUS "BUILD_SHARED_LIBS: ${BUILD_SHARED_LIBS}")
option(KALDI_NATIVE_FBANK_BUILD_TESTS "Whether to build tests or not" ${_BUILD_TESTS})
option(KALDI_NATIVE_FBANK_BUILD_PYTHON "Whether to build Python extension" ${_BUILD_PYTHON})
option(KALDI_NATIVE_FBANK_ENABLE_CHECK "Whether to build with log" OFF)
message(STATUS "KALDI_NATIVE_FBANK_BUILD_TESTS: ${KALDI_NATIVE_FBANK_BUILD_TESTS}")
message(STATUS "KALDI_NATIVE_FBANK_BUILD_PYTHON: ${KALDI_NATIVE_FBANK_BUILD_PYTHON}")
message(STATUS "KALDI_NATIVE_FBANK_ENABLE_CHECK: ${KALDI_NATIVE_FBANK_ENABLE_CHECK}")
list(APPEND CMAKE_MODULE_PATH ${CMAKE_SOURCE_DIR}/cmake/Modules)
list(APPEND CMAKE_MODULE_PATH ${CMAKE_SOURCE_DIR}/cmake)
message(STATUS "KALDI_NATIVE_FBANK_ENABLE_CHECK: ${KALDI_NATIVE_FBANK_ENABLE_CHECK}")
if(WIN32)
add_definitions(-DNOMINMAX) # Otherwise, std::max() and std::min() won't work
endif()
if(KALDI_NATIVE_FBANK_BUILD_PYTHON)
include(pybind11)
endif()
if(KALDI_NATIVE_FBANK_BUILD_TESTS)
enable_testing()
include(googletest)
endif()
if(NOT CMAKE_INSTALL_PREFIX)
set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install")
endif()
message(STATUS "CMAKE_CXX_FLAGS: ${CMAKE_CXX_FLAGS}")
message(STATUS "CMAKE_INSTALL_PREFIX: ${CMAKE_INSTALL_PREFIX}")
include(CheckIncludeFileCXX)
check_include_file_cxx(cxxabi.h KNF_HAVE_CXXABI_H)
check_include_file_cxx(execinfo.h KNF_HAVE_EXECINFO_H)
include_directories(${CMAKE_SOURCE_DIR})
if(WIN32 AND MSVC)
# disable various warnings for MSVC
# 4244: '=': conversion from 'double' to 'float', possible loss of data
# 4267: 'return': conversion from 'size_t' to 'int32_t', possible loss of data
# 4624: destructor was implicitly defined as deleted because a base class destructor is inaccessible or deleted
set(disabled_warnings
/wd4244
/wd4267
/wd4624
)
message(STATUS "Disabled warnings: ${disabled_warnings}")
foreach(w IN LISTS disabled_warnings)
string(APPEND CMAKE_CXX_FLAGS " ${w} ")
endforeach()
endif()
add_subdirectory(kaldi-native-fbank)

211
funasr/runtime/onnxruntime/kaldi-native-fbank/LICENSE Normal file
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@ -0,0 +1,211 @@
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NOTE (this is not from the Apache License): The copyright model is that
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5
funasr/runtime/onnxruntime/kaldi-native-fbank/MANIFEST.in Normal file
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@ -0,0 +1,5 @@
include LICENSE
include README.md
include CMakeLists.txt
recursive-include kaldi-native-fbank *.*
recursive-include cmake *.*

106
funasr/runtime/onnxruntime/kaldi-native-fbank/README.md Normal file
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@ -0,0 +1,106 @@
# Introduction
Kaldi-compatible online fbank feature extractor without external dependencies.
Tested on the following architectures and operating systems:
- Linux
- macOS
- Windows
- Android
- x86
- arm
- aarch64
# Usage
See the following CMake-based speech recognition (i.e., text-to-speech) projects
for its usage:
- <https://github.com/k2-fsa/sherpa-ncnn>
- Specifically, please have a look at <https://github.com/k2-fsa/sherpa-ncnn/blob/master/sherpa-ncnn/csrc/features.h>
- <https://github.com/k2-fsa/sherpa-onnx>
They use `kaldi-native-fbank` to compute fbank features for **real-time**
speech recognition.
# Python APIs
First, please install `kaldi-native-fbank` by
```bash
git clone https://github.com/csukuangfj/kaldi-native-fbank
cd kaldi-native-fbank
python3 setup.py install
```
or use
```bash
pip install kaldi-native-fbank
```
To check that you have installed `kaldi-native-fbank` successfully, please use
```
python3 -c "import kaldi_native_fbank; print(kaldi_native_fbank.__version__)"
```
which should print the version you have installed.
Please refer to
<https://github.com/csukuangfj/kaldi-native-fbank/blob/master/kaldi-native-fbank/python/tests/test_online_fbank.py>
for usages.
For easier reference, we post the above file below:
```python3
#!/usr/bin/env python3
import sys
try:
import kaldifeat
except:
print("Please install kaldifeat first")
sys.exit(0)
import kaldi_native_fbank as knf
import torch
def main():
sampling_rate = 16000
samples = torch.randn(16000 * 10)
opts = kaldifeat.FbankOptions()
opts.frame_opts.dither = 0
opts.mel_opts.num_bins = 80
opts.frame_opts.snip_edges = False
opts.mel_opts.debug_mel = False
online_fbank = kaldifeat.OnlineFbank(opts)
online_fbank.accept_waveform(sampling_rate, samples)
opts = knf.FbankOptions()
opts.frame_opts.dither = 0
opts.mel_opts.num_bins = 80
opts.frame_opts.snip_edges = False
opts.mel_opts.debug_mel = False
fbank = knf.OnlineFbank(opts)
fbank.accept_waveform(sampling_rate, samples.tolist())
assert online_fbank.num_frames_ready == fbank.num_frames_ready
for i in range(fbank.num_frames_ready):
f1 = online_fbank.get_frame(i)
f2 = torch.from_numpy(fbank.get_frame(i))
assert torch.allclose(f1, f2, atol=1e-3), (i, (f1 - f2).abs().max())
if __name__ == "__main__":
torch.manual_seed(20220825)
main()
print("success")
```

916
funasr/runtime/onnxruntime/kaldi-native-fbank/cmake/Modules/FetchContent.cmake Normal file
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# Distributed under the OSI-approved BSD 3-Clause License. See accompanying
# file Copyright.txt or https://cmake.org/licensing for details.
#[=======================================================================[.rst:
FetchContent
------------------
.. only:: html
.. contents::
Overview
^^^^^^^^
This module enables populating content at configure time via any method
supported by the :module:`ExternalProject` module. Whereas
:command:`ExternalProject_Add` downloads at build time, the
``FetchContent`` module makes content available immediately, allowing the
configure step to use the content in commands like :command:`add_subdirectory`,
:command:`include` or :command:`file` operations.
Content population details would normally be defined separately from the
command that performs the actual population. Projects should also
check whether the content has already been populated somewhere else in the
project hierarchy. Typical usage would look something like this:
.. code-block:: cmake
FetchContent_Declare(
googletest
GIT_REPOSITORY https://github.com/google/googletest.git
GIT_TAG release-1.8.0
)
FetchContent_GetProperties(googletest)
if(NOT googletest_POPULATED)
FetchContent_Populate(googletest)
add_subdirectory(${googletest_SOURCE_DIR} ${googletest_BINARY_DIR})
endif()
When using the above pattern with a hierarchical project arrangement,
projects at higher levels in the hierarchy are able to define or override
the population details of content specified anywhere lower in the project
hierarchy. The ability to detect whether content has already been
populated ensures that even if multiple child projects want certain content
to be available, the first one to populate it wins. The other child project
can simply make use of the already available content instead of repeating
the population for itself. See the
:ref:`Examples <fetch-content-examples>` section which demonstrates
this scenario.
The ``FetchContent`` module also supports defining and populating
content in a single call, with no check for whether the content has been
populated elsewhere in the project already. This is a more low level
operation and would not normally be the way the module is used, but it is
sometimes useful as part of implementing some higher level feature or to
populate some content in CMake's script mode.
Declaring Content Details
^^^^^^^^^^^^^^^^^^^^^^^^^
.. command:: FetchContent_Declare
.. code-block:: cmake
FetchContent_Declare(<name> <contentOptions>...)
The ``FetchContent_Declare()`` function records the options that describe
how to populate the specified content, but if such details have already
been recorded earlier in this project (regardless of where in the project
hierarchy), this and all later calls for the same content ``<name>`` are
ignored. This "first to record, wins" approach is what allows hierarchical
projects to have parent projects override content details of child projects.
The content ``<name>`` can be any string without spaces, but good practice
would be to use only letters, numbers and underscores. The name will be
treated case-insensitively and it should be obvious for the content it
represents, often being the name of the child project or the value given
to its top level :command:`project` command (if it is a CMake project).
For well-known public projects, the name should generally be the official
name of the project. Choosing an unusual name makes it unlikely that other
projects needing that same content will use the same name, leading to
the content being populated multiple times.
The ``<contentOptions>`` can be any of the download or update/patch options
that the :command:`ExternalProject_Add` command understands. The configure,
build, install and test steps are explicitly disabled and therefore options
related to them will be ignored. In most cases, ``<contentOptions>`` will
just be a couple of options defining the download method and method-specific
details like a commit tag or archive hash. For example:
.. code-block:: cmake
FetchContent_Declare(
googletest
GIT_REPOSITORY https://github.com/google/googletest.git
GIT_TAG release-1.8.0
)
FetchContent_Declare(
myCompanyIcons
URL https://intranet.mycompany.com/assets/iconset_1.12.tar.gz
URL_HASH 5588a7b18261c20068beabfb4f530b87
)
FetchContent_Declare(
myCompanyCertificates
SVN_REPOSITORY svn+ssh://svn.mycompany.com/srv/svn/trunk/certs
SVN_REVISION -r12345
)
Populating The Content
^^^^^^^^^^^^^^^^^^^^^^
.. command:: FetchContent_Populate
.. code-block:: cmake
FetchContent_Populate( <name> )
In most cases, the only argument given to ``FetchContent_Populate()`` is the
``<name>``. When used this way, the command assumes the content details have
been recorded by an earlier call to :command:`FetchContent_Declare`. The
details are stored in a global property, so they are unaffected by things
like variable or directory scope. Therefore, it doesn't matter where in the
project the details were previously declared, as long as they have been
declared before the call to ``FetchContent_Populate()``. Those saved details
are then used to construct a call to :command:`ExternalProject_Add` in a
private sub-build to perform the content population immediately. The
implementation of ``ExternalProject_Add()`` ensures that if the content has
already been populated in a previous CMake run, that content will be reused
rather than repopulating them again. For the common case where population
involves downloading content, the cost of the download is only paid once.
An internal global property records when a particular content population
request has been processed. If ``FetchContent_Populate()`` is called more
than once for the same content name within a configure run, the second call
will halt with an error. Projects can and should check whether content
population has already been processed with the
:command:`FetchContent_GetProperties` command before calling
``FetchContent_Populate()``.
``FetchContent_Populate()`` will set three variables in the scope of the
caller; ``<lcName>_POPULATED``, ``<lcName>_SOURCE_DIR`` and
``<lcName>_BINARY_DIR``, where ``<lcName>`` is the lowercased ``<name>``.
``<lcName>_POPULATED`` will always be set to ``True`` by the call.
``<lcName>_SOURCE_DIR`` is the location where the
content can be found upon return (it will have already been populated), while
``<lcName>_BINARY_DIR`` is a directory intended for use as a corresponding
build directory. The main use case for the two directory variables is to
call :command:`add_subdirectory` immediately after population, i.e.:
.. code-block:: cmake
FetchContent_Populate(FooBar ...)
add_subdirectory(${foobar_SOURCE_DIR} ${foobar_BINARY_DIR})
The values of the three variables can also be retrieved from anywhere in the
project hierarchy using the :command:`FetchContent_GetProperties` command.
A number of cache variables influence the behavior of all content population
performed using details saved from a :command:`FetchContent_Declare` call:
``FETCHCONTENT_BASE_DIR``
In most cases, the saved details do not specify any options relating to the
directories to use for the internal sub-build, final source and build areas.
It is generally best to leave these decisions up to the ``FetchContent``
module to handle on the project's behalf. The ``FETCHCONTENT_BASE_DIR``
cache variable controls the point under which all content population
directories are collected, but in most cases developers would not need to
change this. The default location is ``${CMAKE_BINARY_DIR}/_deps``, but if
developers change this value, they should aim to keep the path short and
just below the top level of the build tree to avoid running into path
length problems on Windows.
``FETCHCONTENT_QUIET``
The logging output during population can be quite verbose, making the
configure stage quite noisy. This cache option (``ON`` by default) hides
all population output unless an error is encountered. If experiencing
problems with hung downloads, temporarily switching this option off may
help diagnose which content population is causing the issue.
``FETCHCONTENT_FULLY_DISCONNECTED``
When this option is enabled, no attempt is made to download or update
any content. It is assumed that all content has already been populated in
a previous run or the source directories have been pointed at existing
contents the developer has provided manually (using options described
further below). When the developer knows that no changes have been made to
any content details, turning this option ``ON`` can significantly speed up
the configure stage. It is ``OFF`` by default.
``FETCHCONTENT_UPDATES_DISCONNECTED``
This is a less severe download/update control compared to
``FETCHCONTENT_FULLY_DISCONNECTED``. Instead of bypassing all download and
update logic, the ``FETCHCONTENT_UPDATES_DISCONNECTED`` only disables the
update stage. Therefore, if content has not been downloaded previously,
it will still be downloaded when this option is enabled. This can speed up
the configure stage, but not as much as
``FETCHCONTENT_FULLY_DISCONNECTED``. It is ``OFF`` by default.
In addition to the above cache variables, the following cache variables are
also defined for each content name (``<ucName>`` is the uppercased value of
``<name>``):
``FETCHCONTENT_SOURCE_DIR_<ucName>``
If this is set, no download or update steps are performed for the specified
content and the ``<lcName>_SOURCE_DIR`` variable returned to the caller is
pointed at this location. This gives developers a way to have a separate
checkout of the content that they can modify freely without interference
from the build. The build simply uses that existing source, but it still
defines ``<lcName>_BINARY_DIR`` to point inside its own build area.
Developers are strongly encouraged to use this mechanism rather than
editing the sources populated in the default location, as changes to
sources in the default location can be lost when content population details
are changed by the project.
``FETCHCONTENT_UPDATES_DISCONNECTED_<ucName>``
This is the per-content equivalent of
``FETCHCONTENT_UPDATES_DISCONNECTED``. If the global option or this option
is ``ON``, then updates will be disabled for the named content.
Disabling updates for individual content can be useful for content whose
details rarely change, while still leaving other frequently changing
content with updates enabled.
The ``FetchContent_Populate()`` command also supports a syntax allowing the
content details to be specified directly rather than using any saved
details. This is more low-level and use of this form is generally to be
avoided in favour of using saved content details as outlined above.
Nevertheless, in certain situations it can be useful to invoke the content
population as an isolated operation (typically as part of implementing some
other higher level feature or when using CMake in script mode):
.. code-block:: cmake
FetchContent_Populate( <name>
[QUIET]
[SUBBUILD_DIR <subBuildDir>]
[SOURCE_DIR <srcDir>]
[BINARY_DIR <binDir>]
...
)
This form has a number of key differences to that where only ``<name>`` is
provided:
- All required population details are assumed to have been provided directly
in the call to ``FetchContent_Populate()``. Any saved details for
``<name>`` are ignored.
- No check is made for whether content for ``<name>`` has already been
populated.
- No global property is set to record that the population has occurred.
- No global properties record the source or binary directories used for the
populated content.
- The ``FETCHCONTENT_FULLY_DISCONNECTED`` and
``FETCHCONTENT_UPDATES_DISCONNECTED`` cache variables are ignored.
The ``<lcName>_SOURCE_DIR`` and ``<lcName>_BINARY_DIR`` variables are still
returned to the caller, but since these locations are not stored as global
properties when this form is used, they are only available to the calling
scope and below rather than the entire project hierarchy. No
``<lcName>_POPULATED`` variable is set in the caller's scope with this form.
The supported options for ``FetchContent_Populate()`` are the same as those
for :command:`FetchContent_Declare()`. Those few options shown just
above are either specific to ``FetchContent_Populate()`` or their behavior is
slightly modified from how :command:`ExternalProject_Add` treats them.
``QUIET``
The ``QUIET`` option can be given to hide the output associated with
populating the specified content. If the population fails, the output will
be shown regardless of whether this option was given or not so that the
cause of the failure can be diagnosed. The global ``FETCHCONTENT_QUIET``
cache variable has no effect on ``FetchContent_Populate()`` calls where the
content details are provided directly.
``SUBBUILD_DIR``
The ``SUBBUILD_DIR`` argument can be provided to change the location of the
sub-build created to perform the population. The default value is
``${CMAKE_CURRENT_BINARY_DIR}/<lcName>-subbuild`` and it would be unusual
to need to override this default. If a relative path is specified, it will
be interpreted as relative to :variable:`CMAKE_CURRENT_BINARY_DIR`.
``SOURCE_DIR``, ``BINARY_DIR``
The ``SOURCE_DIR`` and ``BINARY_DIR`` arguments are supported by
:command:`ExternalProject_Add`, but different default values are used by
``FetchContent_Populate()``. ``SOURCE_DIR`` defaults to
``${CMAKE_CURRENT_BINARY_DIR}/<lcName>-src`` and ``BINARY_DIR`` defaults to
``${CMAKE_CURRENT_BINARY_DIR}/<lcName>-build``. If a relative path is
specified, it will be interpreted as relative to
:variable:`CMAKE_CURRENT_BINARY_DIR`.
In addition to the above explicit options, any other unrecognized options are
passed through unmodified to :command:`ExternalProject_Add` to perform the
download, patch and update steps. The following options are explicitly
prohibited (they are disabled by the ``FetchContent_Populate()`` command):
- ``CONFIGURE_COMMAND``
- ``BUILD_COMMAND``
- ``INSTALL_COMMAND``
- ``TEST_COMMAND``
If using ``FetchContent_Populate()`` within CMake's script mode, be aware
that the implementation sets up a sub-build which therefore requires a CMake
generator and build tool to be available. If these cannot be found by
default, then the :variable:`CMAKE_GENERATOR` and/or
:variable:`CMAKE_MAKE_PROGRAM` variables will need to be set appropriately
on the command line invoking the script.
Retrieve Population Properties
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. command:: FetchContent_GetProperties
When using saved content details, a call to :command:`FetchContent_Populate`
records information in global properties which can be queried at any time.
This information includes the source and binary directories associated with
the content and also whether or not the content population has been processed
during the current configure run.
.. code-block:: cmake
FetchContent_GetProperties( <name>
[SOURCE_DIR <srcDirVar>]
[BINARY_DIR <binDirVar>]
[POPULATED <doneVar>]
)
The ``SOURCE_DIR``, ``BINARY_DIR`` and ``POPULATED`` options can be used to
specify which properties should be retrieved. Each option accepts a value
which is the name of the variable in which to store that property. Most of
the time though, only ``<name>`` is given, in which case the call will then
set the same variables as a call to
:command:`FetchContent_Populate(name) <FetchContent_Populate>`. This allows
the following canonical pattern to be used, which ensures that the relevant
variables will always be defined regardless of whether or not the population
has been performed elsewhere in the project already:
.. code-block:: cmake
FetchContent_GetProperties(foobar)
if(NOT foobar_POPULATED)
FetchContent_Populate(foobar)
# Set any custom variables, etc. here, then
# populate the content as part of this build
add_subdirectory(${foobar_SOURCE_DIR} ${foobar_BINARY_DIR})
endif()
The above pattern allows other parts of the overall project hierarchy to
re-use the same content and ensure that it is only populated once.
.. _`fetch-content-examples`:
Examples
^^^^^^^^
Consider a project hierarchy where ``projA`` is the top level project and it
depends on projects ``projB`` and ``projC``. Both ``projB`` and ``projC``
can be built standalone and they also both depend on another project
``projD``. For simplicity, this example will assume that all four projects
are available on a company git server. The ``CMakeLists.txt`` of each project
might have sections like the following:
*projA*:
.. code-block:: cmake
include(FetchContent)
FetchContent_Declare(
projB
GIT_REPOSITORY git@mycompany.com/git/projB.git
GIT_TAG 4a89dc7e24ff212a7b5167bef7ab079d
)
FetchContent_Declare(
projC
GIT_REPOSITORY git@mycompany.com/git/projC.git
GIT_TAG 4ad4016bd1d8d5412d135cf8ceea1bb9
)
FetchContent_Declare(
projD
GIT_REPOSITORY git@mycompany.com/git/projD.git
GIT_TAG origin/integrationBranch
)
FetchContent_GetProperties(projB)
if(NOT projb_POPULATED)
FetchContent_Populate(projB)
add_subdirectory(${projb_SOURCE_DIR} ${projb_BINARY_DIR})
endif()
FetchContent_GetProperties(projC)
if(NOT projc_POPULATED)
FetchContent_Populate(projC)
add_subdirectory(${projc_SOURCE_DIR} ${projc_BINARY_DIR})
endif()
*projB*:
.. code-block:: cmake
include(FetchContent)
FetchContent_Declare(
projD
GIT_REPOSITORY git@mycompany.com/git/projD.git
GIT_TAG 20b415f9034bbd2a2e8216e9a5c9e632
)
FetchContent_GetProperties(projD)
if(NOT projd_POPULATED)
FetchContent_Populate(projD)
add_subdirectory(${projd_SOURCE_DIR} ${projd_BINARY_DIR})
endif()
*projC*:
.. code-block:: cmake
include(FetchContent)
FetchContent_Declare(
projD
GIT_REPOSITORY git@mycompany.com/git/projD.git
GIT_TAG 7d9a17ad2c962aa13e2fbb8043fb6b8a
)
FetchContent_GetProperties(projD)
if(NOT projd_POPULATED)
FetchContent_Populate(projD)
add_subdirectory(${projd_SOURCE_DIR} ${projd_BINARY_DIR})
endif()
A few key points should be noted in the above:
- ``projB`` and ``projC`` define different content details for ``projD``,
but ``projA`` also defines a set of content details for ``projD`` and
because ``projA`` will define them first, the details from ``projB`` and
``projC`` will not be used. The override details defined by ``projA``
are not required to match either of those from ``projB`` or ``projC``, but
it is up to the higher level project to ensure that the details it does
define still make sense for the child projects.
- While ``projA`` defined content details for ``projD``, it did not need
to explicitly call ``FetchContent_Populate(projD)`` itself. Instead, it
leaves that to a child project to do (in this case it will be ``projB``
since it is added to the build ahead of ``projC``). If ``projA`` needed to
customize how the ``projD`` content was brought into the build as well
(e.g. define some CMake variables before calling
:command:`add_subdirectory` after populating), it would do the call to
``FetchContent_Populate()``, etc. just as it did for the ``projB`` and
``projC`` content. For higher level projects, it is usually enough to
just define the override content details and leave the actual population
to the child projects. This saves repeating the same thing at each level
of the project hierarchy unnecessarily.
- Even though ``projA`` is the top level project in this example, it still
checks whether ``projB`` and ``projC`` have already been populated before
going ahead to do those populations. This makes ``projA`` able to be more
easily incorporated as a child of some other higher level project in the
future if required. Always protect a call to
:command:`FetchContent_Populate` with a check to
:command:`FetchContent_GetProperties`, even in what may be considered a top
level project at the time.
The following example demonstrates how one might download and unpack a
firmware tarball using CMake's :manual:`script mode <cmake(1)>`. The call to
:command:`FetchContent_Populate` specifies all the content details and the
unpacked firmware will be placed in a ``firmware`` directory below the
current working directory.
*getFirmware.cmake*:
.. code-block:: cmake
# NOTE: Intended to be run in script mode with cmake -P
include(FetchContent)
FetchContent_Populate(
firmware
URL https://mycompany.com/assets/firmware-1.23-arm.tar.gz
URL_HASH MD5=68247684da89b608d466253762b0ff11
SOURCE_DIR firmware
)
#]=======================================================================]
set(__FetchContent_privateDir "${CMAKE_CURRENT_LIST_DIR}/FetchContent")
#=======================================================================
# Recording and retrieving content details for later population
#=======================================================================
# Internal use, projects must not call this directly. It is
# intended for use by FetchContent_Declare() only.
#
# Sets a content-specific global property (not meant for use
# outside of functions defined here in this file) which can later
# be retrieved using __FetchContent_getSavedDetails() with just the
# same content name. If there is already a value stored in the
# property, it is left unchanged and this call has no effect.
# This allows parent projects to define the content details,
# overriding anything a child project may try to set (properties
# are not cached between runs, so the first thing to set it in a
# build will be in control).
function(__FetchContent_declareDetails contentName)
string(TOLOWER ${contentName} contentNameLower)
set(propertyName "_FetchContent_${contentNameLower}_savedDetails")
get_property(alreadyDefined GLOBAL PROPERTY ${propertyName} DEFINED)
if(NOT alreadyDefined)
define_property(GLOBAL PROPERTY ${propertyName}
BRIEF_DOCS "Internal implementation detail of FetchContent_Populate()"
FULL_DOCS "Details used by FetchContent_Populate() for ${contentName}"
)
set_property(GLOBAL PROPERTY ${propertyName} ${ARGN})
endif()
endfunction()
# Internal use, projects must not call this directly. It is
# intended for use by the FetchContent_Declare() function.
#
# Retrieves details saved for the specified content in an
# earlier call to __FetchContent_declareDetails().
function(__FetchContent_getSavedDetails contentName outVar)
string(TOLOWER ${contentName} contentNameLower)
set(propertyName "_FetchContent_${contentNameLower}_savedDetails")
get_property(alreadyDefined GLOBAL PROPERTY ${propertyName} DEFINED)
if(NOT alreadyDefined)
message(FATAL_ERROR "No content details recorded for ${contentName}")
endif()
get_property(propertyValue GLOBAL PROPERTY ${propertyName})
set(${outVar} "${propertyValue}" PARENT_SCOPE)
endfunction()
# Saves population details of the content, sets defaults for the
# SOURCE_DIR and BUILD_DIR.
function(FetchContent_Declare contentName)
set(options "")
set(oneValueArgs SVN_REPOSITORY)
set(multiValueArgs "")
cmake_parse_arguments(ARG "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
unset(srcDirSuffix)
unset(svnRepoArgs)
if(ARG_SVN_REPOSITORY)
# Add a hash of the svn repository URL to the source dir. This works
# around the problem where if the URL changes, the download would
# fail because it tries to checkout/update rather than switch the
# old URL to the new one. We limit the hash to the first 7 characters
# so that the source path doesn't get overly long (which can be a
# problem on windows due to path length limits).
string(SHA1 urlSHA ${ARG_SVN_REPOSITORY})
string(SUBSTRING ${urlSHA} 0 7 urlSHA)
set(srcDirSuffix "-${urlSHA}")
set(svnRepoArgs SVN_REPOSITORY ${ARG_SVN_REPOSITORY})
endif()
string(TOLOWER ${contentName} contentNameLower)
__FetchContent_declareDetails(
${contentNameLower}
SOURCE_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-src${srcDirSuffix}"
BINARY_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-build"
${svnRepoArgs}
# List these last so they can override things we set above
${ARG_UNPARSED_ARGUMENTS}
)
endfunction()
#=======================================================================
# Set/get whether the specified content has been populated yet.
# The setter also records the source and binary dirs used.
#=======================================================================
# Internal use, projects must not call this directly. It is
# intended for use by the FetchContent_Populate() function to
# record when FetchContent_Populate() is called for a particular
# content name.
function(__FetchContent_setPopulated contentName sourceDir binaryDir)
string(TOLOWER ${contentName} contentNameLower)
set(prefix "_FetchContent_${contentNameLower}")
set(propertyName "${prefix}_sourceDir")
define_property(GLOBAL PROPERTY ${propertyName}
BRIEF_DOCS "Internal implementation detail of FetchContent_Populate()"
FULL_DOCS "Details used by FetchContent_Populate() for ${contentName}"
)
set_property(GLOBAL PROPERTY ${propertyName} ${sourceDir})
set(propertyName "${prefix}_binaryDir")
define_property(GLOBAL PROPERTY ${propertyName}
BRIEF_DOCS "Internal implementation detail of FetchContent_Populate()"
FULL_DOCS "Details used by FetchContent_Populate() for ${contentName}"
)
set_property(GLOBAL PROPERTY ${propertyName} ${binaryDir})
set(propertyName "${prefix}_populated")
define_property(GLOBAL PROPERTY ${propertyName}
BRIEF_DOCS "Internal implementation detail of FetchContent_Populate()"
FULL_DOCS "Details used by FetchContent_Populate() for ${contentName}"
)
set_property(GLOBAL PROPERTY ${propertyName} True)
endfunction()
# Set variables in the calling scope for any of the retrievable
# properties. If no specific properties are requested, variables
# will be set for all retrievable properties.
#
# This function is intended to also be used by projects as the canonical
# way to detect whether they should call FetchContent_Populate()
# and pull the populated source into the build with add_subdirectory(),
# if they are using the populated content in that way.
function(FetchContent_GetProperties contentName)
string(TOLOWER ${contentName} contentNameLower)
set(options "")
set(oneValueArgs SOURCE_DIR BINARY_DIR POPULATED)
set(multiValueArgs "")
cmake_parse_arguments(ARG "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if(NOT ARG_SOURCE_DIR AND
NOT ARG_BINARY_DIR AND
NOT ARG_POPULATED)
# No specific properties requested, provide them all
set(ARG_SOURCE_DIR ${contentNameLower}_SOURCE_DIR)
set(ARG_BINARY_DIR ${contentNameLower}_BINARY_DIR)
set(ARG_POPULATED ${contentNameLower}_POPULATED)
endif()
set(prefix "_FetchContent_${contentNameLower}")
if(ARG_SOURCE_DIR)
set(propertyName "${prefix}_sourceDir")
get_property(value GLOBAL PROPERTY ${propertyName})
if(value)
set(${ARG_SOURCE_DIR} ${value} PARENT_SCOPE)
endif()
endif()
if(ARG_BINARY_DIR)
set(propertyName "${prefix}_binaryDir")
get_property(value GLOBAL PROPERTY ${propertyName})
if(value)
set(${ARG_BINARY_DIR} ${value} PARENT_SCOPE)
endif()
endif()
if(ARG_POPULATED)
set(propertyName "${prefix}_populated")
get_property(value GLOBAL PROPERTY ${propertyName} DEFINED)
set(${ARG_POPULATED} ${value} PARENT_SCOPE)
endif()
endfunction()
#=======================================================================
# Performing the population
#=======================================================================
# The value of contentName will always have been lowercased by the caller.
# All other arguments are assumed to be options that are understood by
# ExternalProject_Add(), except for QUIET and SUBBUILD_DIR.
function(__FetchContent_directPopulate contentName)
set(options
QUIET
)
set(oneValueArgs
SUBBUILD_DIR
SOURCE_DIR
BINARY_DIR
# Prevent the following from being passed through
CONFIGURE_COMMAND
BUILD_COMMAND
INSTALL_COMMAND
TEST_COMMAND
)
set(multiValueArgs "")
cmake_parse_arguments(ARG "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if(NOT ARG_SUBBUILD_DIR)
message(FATAL_ERROR "Internal error: SUBBUILD_DIR not set")
elseif(NOT IS_ABSOLUTE "${ARG_SUBBUILD_DIR}")
set(ARG_SUBBUILD_DIR "${CMAKE_CURRENT_BINARY_DIR}/${ARG_SUBBUILD_DIR}")
endif()
if(NOT ARG_SOURCE_DIR)
message(FATAL_ERROR "Internal error: SOURCE_DIR not set")
elseif(NOT IS_ABSOLUTE "${ARG_SOURCE_DIR}")
set(ARG_SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/${ARG_SOURCE_DIR}")
endif()
if(NOT ARG_BINARY_DIR)
message(FATAL_ERROR "Internal error: BINARY_DIR not set")
elseif(NOT IS_ABSOLUTE "${ARG_BINARY_DIR}")
set(ARG_BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/${ARG_BINARY_DIR}")
endif()
# Ensure the caller can know where to find the source and build directories
# with some convenient variables. Doing this here ensures the caller sees
# the correct result in the case where the default values are overridden by
# the content details set by the project.
set(${contentName}_SOURCE_DIR "${ARG_SOURCE_DIR}" PARENT_SCOPE)
set(${contentName}_BINARY_DIR "${ARG_BINARY_DIR}" PARENT_SCOPE)
# The unparsed arguments may contain spaces, so build up ARG_EXTRA
# in such a way that it correctly substitutes into the generated
# CMakeLists.txt file with each argument quoted.
unset(ARG_EXTRA)
foreach(arg IN LISTS ARG_UNPARSED_ARGUMENTS)
set(ARG_EXTRA "${ARG_EXTRA} \"${arg}\"")
endforeach()
# Hide output if requested, but save it to a variable in case there's an
# error so we can show the output upon failure. When not quiet, don't
# capture the output to a variable because the user may want to see the
# output as it happens (e.g. progress during long downloads). Combine both
# stdout and stderr in the one capture variable so the output stays in order.
if (ARG_QUIET)
set(outputOptions
OUTPUT_VARIABLE capturedOutput
ERROR_VARIABLE capturedOutput
)
else()
set(capturedOutput)
set(outputOptions)
message(STATUS "Populating ${contentName}")
endif()
if(CMAKE_GENERATOR)
set(generatorOpts "-G${CMAKE_GENERATOR}")
if(CMAKE_GENERATOR_PLATFORM)
list(APPEND generatorOpts "-A${CMAKE_GENERATOR_PLATFORM}")
endif()
if(CMAKE_GENERATOR_TOOLSET)
list(APPEND generatorOpts "-T${CMAKE_GENERATOR_TOOLSET}")
endif()
if(CMAKE_MAKE_PROGRAM)
list(APPEND generatorOpts "-DCMAKE_MAKE_PROGRAM:FILEPATH=${CMAKE_MAKE_PROGRAM}")
endif()
else()
# Likely we've been invoked via CMake's script mode where no
# generator is set (and hence CMAKE_MAKE_PROGRAM could not be
# trusted even if provided). We will have to rely on being
# able to find the default generator and build tool.
unset(generatorOpts)
endif()
# Create and build a separate CMake project to carry out the population.
# If we've already previously done these steps, they will not cause
# anything to be updated, so extra rebuilds of the project won't occur.
# Make sure to pass through CMAKE_MAKE_PROGRAM in case the main project
# has this set to something not findable on the PATH.
configure_file("${__FetchContent_privateDir}/CMakeLists.cmake.in"
"${ARG_SUBBUILD_DIR}/CMakeLists.txt")
execute_process(
COMMAND ${CMAKE_COMMAND} ${generatorOpts} .
RESULT_VARIABLE result
${outputOptions}
WORKING_DIRECTORY "${ARG_SUBBUILD_DIR}"
)
if(result)
if(capturedOutput)
message("${capturedOutput}")
endif()
message(FATAL_ERROR "CMake step for ${contentName} failed: ${result}")
endif()
execute_process(
COMMAND ${CMAKE_COMMAND} --build .
RESULT_VARIABLE result
${outputOptions}
WORKING_DIRECTORY "${ARG_SUBBUILD_DIR}"
)
if(result)
if(capturedOutput)
message("${capturedOutput}")
endif()
message(FATAL_ERROR "Build step for ${contentName} failed: ${result}")
endif()
endfunction()
option(FETCHCONTENT_FULLY_DISCONNECTED "Disables all attempts to download or update content and assumes source dirs already exist")
option(FETCHCONTENT_UPDATES_DISCONNECTED "Enables UPDATE_DISCONNECTED behavior for all content population")
option(FETCHCONTENT_QUIET "Enables QUIET option for all content population" ON)
set(FETCHCONTENT_BASE_DIR "${CMAKE_BINARY_DIR}/_deps" CACHE PATH "Directory under which to collect all populated content")
# Populate the specified content using details stored from
# an earlier call to FetchContent_Declare().
function(FetchContent_Populate contentName)
if(NOT contentName)
message(FATAL_ERROR "Empty contentName not allowed for FetchContent_Populate()")
endif()
string(TOLOWER ${contentName} contentNameLower)
if(ARGN)
# This is the direct population form with details fully specified
# as part of the call, so we already have everything we need
__FetchContent_directPopulate(
${contentNameLower}
SUBBUILD_DIR "${CMAKE_CURRENT_BINARY_DIR}/${contentNameLower}-subbuild"
SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/${contentNameLower}-src"
BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/${contentNameLower}-build"
${ARGN} # Could override any of the above ..._DIR variables
)
# Pass source and binary dir variables back to the caller
set(${contentNameLower}_SOURCE_DIR "${${contentNameLower}_SOURCE_DIR}" PARENT_SCOPE)
set(${contentNameLower}_BINARY_DIR "${${contentNameLower}_BINARY_DIR}" PARENT_SCOPE)
# Don't set global properties, or record that we did this population, since
# this was a direct call outside of the normal declared details form.
# We only want to save values in the global properties for content that
# honours the hierarchical details mechanism so that projects are not
# robbed of the ability to override details set in nested projects.
return()
endif()
# No details provided, so assume they were saved from an earlier call
# to FetchContent_Declare(). Do a check that we haven't already
# populated this content before in case the caller forgot to check.
FetchContent_GetProperties(${contentName})
if(${contentNameLower}_POPULATED)
message(FATAL_ERROR "Content ${contentName} already populated in ${${contentNameLower}_SOURCE_DIR}")
endif()
string(TOUPPER ${contentName} contentNameUpper)
set(FETCHCONTENT_SOURCE_DIR_${contentNameUpper}
"${FETCHCONTENT_SOURCE_DIR_${contentNameUpper}}"
CACHE PATH "When not empty, overrides where to find pre-populated content for ${contentName}")
if(FETCHCONTENT_SOURCE_DIR_${contentNameUpper})
# The source directory has been explicitly provided in the cache,
# so no population is required
set(${contentNameLower}_SOURCE_DIR "${FETCHCONTENT_SOURCE_DIR_${contentNameUpper}}")
set(${contentNameLower}_BINARY_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-build")
elseif(FETCHCONTENT_FULLY_DISCONNECTED)
# Bypass population and assume source is already there from a previous run
set(${contentNameLower}_SOURCE_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-src")
set(${contentNameLower}_BINARY_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-build")
else()
# Support both a global "disconnect all updates" and a per-content
# update test (either one being set disables updates for this content).
option(FETCHCONTENT_UPDATES_DISCONNECTED_${contentNameUpper}
"Enables UPDATE_DISCONNECTED behavior just for population of ${contentName}")
if(FETCHCONTENT_UPDATES_DISCONNECTED OR
FETCHCONTENT_UPDATES_DISCONNECTED_${contentNameUpper})
set(disconnectUpdates True)
else()
set(disconnectUpdates False)
endif()
if(FETCHCONTENT_QUIET)
set(quietFlag QUIET)
else()
unset(quietFlag)
endif()
__FetchContent_getSavedDetails(${contentName} contentDetails)
if("${contentDetails}" STREQUAL "")
message(FATAL_ERROR "No details have been set for content: ${contentName}")
endif()
__FetchContent_directPopulate(
${contentNameLower}
${quietFlag}
UPDATE_DISCONNECTED ${disconnectUpdates}
SUBBUILD_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-subbuild"
SOURCE_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-src"
BINARY_DIR "${FETCHCONTENT_BASE_DIR}/${contentNameLower}-build"
# Put the saved details last so they can override any of the
# the options we set above (this can include SOURCE_DIR or
# BUILD_DIR)
${contentDetails}
)
endif()
__FetchContent_setPopulated(
${contentName}
${${contentNameLower}_SOURCE_DIR}
${${contentNameLower}_BINARY_DIR}
)
# Pass variables back to the caller. The variables passed back here
# must match what FetchContent_GetProperties() sets when it is called
# with just the content name.
set(${contentNameLower}_SOURCE_DIR "${${contentNameLower}_SOURCE_DIR}" PARENT_SCOPE)
set(${contentNameLower}_BINARY_DIR "${${contentNameLower}_BINARY_DIR}" PARENT_SCOPE)
set(${contentNameLower}_POPULATED True PARENT_SCOPE)
endfunction()

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# Distributed under the OSI-approved BSD 3-Clause License. See accompanying
# file Copyright.txt or https://cmake.org/licensing for details.
cmake_minimum_required(VERSION ${CMAKE_VERSION})
# We name the project and the target for the ExternalProject_Add() call
# to something that will highlight to the user what we are working on if
# something goes wrong and an error message is produced.
project(${contentName}-populate NONE)
include(ExternalProject)
ExternalProject_Add(${contentName}-populate
${ARG_EXTRA}
SOURCE_DIR "${ARG_SOURCE_DIR}"
BINARY_DIR "${ARG_BINARY_DIR}"
CONFIGURE_COMMAND ""
BUILD_COMMAND ""
INSTALL_COMMAND ""
TEST_COMMAND ""
)

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## FetchContent
`FetchContent.cmake` and `FetchContent/CMakeLists.cmake.in`
are copied from `cmake/3.11.0/share/cmake-3.11/Modules`.

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# Copyright (c) 2021 Xiaomi Corporation (author: Fangjun Kuang)
import glob
import os
import platform
import shutil
import sys
from pathlib import Path
import setuptools
from setuptools.command.build_ext import build_ext
def is_for_pypi():
ans = os.environ.get("KALDI_NATIVE_FBANK_IS_FOR_PYPI", None)
return ans is not None
def is_macos():
return platform.system() == "Darwin"
def is_windows():
return platform.system() == "Windows"
try:
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
class bdist_wheel(_bdist_wheel):
def finalize_options(self):
_bdist_wheel.finalize_options(self)
# In this case, the generated wheel has a name in the form
# kaldifeat-xxx-pyxx-none-any.whl
if is_for_pypi() and not is_macos():
self.root_is_pure = True
else:
# The generated wheel has a name ending with
# -linux_x86_64.whl
self.root_is_pure = False
except ImportError:
bdist_wheel = None
def cmake_extension(name, *args, **kwargs) -> setuptools.Extension:
kwargs["language"] = "c++"
sources = []
return setuptools.Extension(name, sources, *args, **kwargs)
class BuildExtension(build_ext):
def build_extension(self, ext: setuptools.extension.Extension):
# build/temp.linux-x86_64-3.8
os.makedirs(self.build_temp, exist_ok=True)
# build/lib.linux-x86_64-3.8
os.makedirs(self.build_lib, exist_ok=True)
install_dir = Path(self.build_lib).resolve() / "kaldi_native_fbank"
kaldi_native_fbank_dir = Path(__file__).parent.parent.resolve()
cmake_args = os.environ.get("KALDI_NATIVE_FBANK_CMAKE_ARGS", "")
make_args = os.environ.get("KALDI_NATIVE_FBANK_MAKE_ARGS", "")
system_make_args = os.environ.get("MAKEFLAGS", "")
if cmake_args == "":
cmake_args = "-DCMAKE_BUILD_TYPE=Release"
extra_cmake_args = f" -DCMAKE_INSTALL_PREFIX={install_dir} "
extra_cmake_args += " -DKALDI_NATIVE_FBANK_BUILD_TESTS=OFF "
if "PYTHON_EXECUTABLE" not in cmake_args:
print(f"Setting PYTHON_EXECUTABLE to {sys.executable}")
cmake_args += f" -DPYTHON_EXECUTABLE={sys.executable}"
cmake_args += extra_cmake_args
if is_windows():
build_cmd = f"""
cmake {cmake_args} -B {self.build_temp} -S {kaldi_native_fbank_dir}
cmake --build {self.build_temp} --target install --config Release -- -m
"""
print(f"build command is:\n{build_cmd}")
ret = os.system(
f"cmake {cmake_args} -B {self.build_temp} -S {kaldi_native_fbank_dir}"
)
if ret != 0:
raise Exception("Failed to configure kaldi_native_fbank")
ret = os.system(
f"cmake --build {self.build_temp} --target install --config Release -- -m"
)
if ret != 0:
raise Exception("Failed to install kaldi_native_fbank")
else:
if make_args == "" and system_make_args == "":
print("For fast compilation, run:")
print(
'export KALDI_NATIVE_FBANK_MAKE_ARGS="-j"; python setup.py install'
)
build_cmd = f"""
cd {self.build_temp}
cmake {cmake_args} {kaldi_native_fbank_dir}
make {make_args} install
"""
print(f"build command is:\n{build_cmd}")
ret = os.system(build_cmd)
if ret != 0:
raise Exception(
"\nBuild kaldi-native-fbank failed. Please check the error message.\n"
"You can ask for help by creating an issue on GitHub.\n"
"\nClick:\n\thttps://github.com/csukuangfj/kaldi-native-fbank/issues/new\n" # noqa
)

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function(download_googltest)
if(CMAKE_VERSION VERSION_LESS 3.11)
list(APPEND CMAKE_MODULE_PATH ${CMAKE_SOURCE_DIR}/cmake/Modules)
endif()
include(FetchContent)
set(googletest_URL "https://github.com/google/googletest/archive/release-1.10.0.tar.gz")
set(googletest_HASH "SHA256=9dc9157a9a1551ec7a7e43daea9a694a0bb5fb8bec81235d8a1e6ef64c716dcb")
set(BUILD_GMOCK ON CACHE BOOL "" FORCE)
set(INSTALL_GTEST OFF CACHE BOOL "" FORCE)
set(gtest_disable_pthreads ON CACHE BOOL "" FORCE)
set(gtest_force_shared_crt ON CACHE BOOL "" FORCE)
FetchContent_Declare(googletest
URL ${googletest_URL}
URL_HASH ${googletest_HASH}
)
FetchContent_GetProperties(googletest)
if(NOT googletest_POPULATED)
message(STATUS "Downloading googletest from ${googletest_URL}")
FetchContent_Populate(googletest)
endif()
message(STATUS "googletest is downloaded to ${googletest_SOURCE_DIR}")
message(STATUS "googletest's binary dir is ${googletest_BINARY_DIR}")
if(APPLE)
set(CMAKE_MACOSX_RPATH ON) # to solve the following warning on macOS
endif()
#[==[
-- Generating done
Policy CMP0042 is not set: MACOSX_RPATH is enabled by default. Run "cmake
--help-policy CMP0042" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
MACOSX_RPATH is not specified for the following targets:
gmock
gmock_main
gtest
gtest_main
This warning is for project developers. Use -Wno-dev to suppress it.
]==]
add_subdirectory(${googletest_SOURCE_DIR} ${googletest_BINARY_DIR} EXCLUDE_FROM_ALL)
target_include_directories(gtest
INTERFACE
${googletest_SOURCE_DIR}/googletest/include
${googletest_SOURCE_DIR}/googlemock/include
)
endfunction()
download_googltest()

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function(download_pybind11)
if(CMAKE_VERSION VERSION_LESS 3.11)
list(APPEND CMAKE_MODULE_PATH ${CMAKE_SOURCE_DIR}/cmake/Modules)
endif()
include(FetchContent)
set(pybind11_URL "https://github.com/pybind/pybind11/archive/refs/tags/v2.9.2.tar.gz")
set(pybind11_HASH "SHA256=6bd528c4dbe2276635dc787b6b1f2e5316cf6b49ee3e150264e455a0d68d19c1")
# If you don't have access to the Internet, please download it to your
# local drive and modify the following line according to your needs.
if(EXISTS "/star-fj/fangjun/download/github/pybind11-2.9.2.tar.gz")
set(pybind11_URL "file:///star-fj/fangjun/download/github/pybind11-2.9.2.tar.gz")
elseif(EXISTS "/Users/fangjun/Downloads/pybind11-2.9.2.tar.gz")
set(pybind11_URL "file:///Users/fangjun/Downloads/pybind11-2.9.2.tar.gz")
elseif(EXISTS "/tmp/pybind11-2.9.2.tar.gz")
set(pybind11_URL "file:///tmp/pybind11-2.9.2.tar.gz")
endif()
FetchContent_Declare(pybind11
URL ${pybind11_URL}
URL_HASH ${pybind11_HASH}
)
FetchContent_GetProperties(pybind11)
if(NOT pybind11_POPULATED)
message(STATUS "Downloading pybind11 from ${pybind11_URL}")
FetchContent_Populate(pybind11)
endif()
message(STATUS "pybind11 is downloaded to ${pybind11_SOURCE_DIR}")
add_subdirectory(${pybind11_SOURCE_DIR} ${pybind11_BINARY_DIR} EXCLUDE_FROM_ALL)
endfunction()
download_pybind11()

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add_subdirectory(csrc)
if(KALDI_NATIVE_FBANK_BUILD_PYTHON)
message(STATUS "Building Python")
add_subdirectory(python)
else()
message(STATUS "Disable building Python")
endif()

8
funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/csrc/CMakeLists.txt Normal file
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add_library(csrc STATIC
feature-fbank.cc
feature-functions.cc
feature-window.cc
fftsg.c
mel-computations.cc
online-feature.cc
rfft.cc)

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funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/csrc/CMakeLists.txt.bak Normal file
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include_directories(${PROJECT_SOURCE_DIR})
set(sources
feature-fbank.cc
feature-functions.cc
feature-window.cc
fftsg.c
mel-computations.cc
online-feature.cc
rfft.cc
)
if(KALDI_NATIVE_FBANK_ENABLE_CHECK)
list(APPEND sources log.cc)
endif()
add_library(kaldi-native-fbank-core ${sources})
if(KALDI_NATIVE_FBANK_ENABLE_CHECK)
target_compile_definitions(kaldi-native-fbank-core PUBLIC KNF_ENABLE_CHECK=1)
if(KNF_HAVE_EXECINFO_H)
target_compile_definitions(kaldi-native-fbank-core PRIVATE KNF_HAVE_EXECINFO_H=1)
endif()
if(KNF_HAVE_CXXABI_H)
target_compile_definitions(kaldi-native-fbank-core PRIVATE KNF_HAVE_CXXABI_H=1)
endif()
endif()
# We are using std::call_once() in log.h,which requires us to link with -pthread
if(NOT WIN32 AND KALDI_NATIVE_FBANK_ENABLE_CHECK)
target_link_libraries(kaldi-native-fbank-core -pthread)
endif()
if(KALDI_NATIVE_FBANK_BUILD_TESTS)
add_executable(test-online-fbank test-online-fbank.cc)
target_link_libraries(test-online-fbank kaldi-native-fbank-core)
endif()
function(kaldi_native_fbank_add_test source)
get_filename_component(name ${source} NAME_WE)
add_executable(${name} "${source}")
target_link_libraries(${name}
PRIVATE
kaldi-native-fbank-core
gtest
gtest_main
)
add_test(NAME "Test.${name}"
COMMAND
$<TARGET_FILE:${name}>
)
endfunction()
# please sort the source files alphabetically
set(test_srcs
# test-online-feature.cc
test-log.cc
test-rfft.cc
)
if(KALDI_NATIVE_FBANK_BUILD_TESTS)
foreach(source IN LISTS test_srcs)
kaldi_native_fbank_add_test(${source})
endforeach()
endif()
install(TARGETS kaldi-native-fbank-core
DESTINATION lib
)
if(KALDI_NATIVE_FBANK_BUILD_TESTS)
install(TARGETS test-online-fbank
DESTINATION bin
)
endif()
file(MAKE_DIRECTORY
DESTINATION
${PROJECT_BINARY_DIR}/include/kaldi-native-fbank/csrc
)
file(GLOB_RECURSE all_headers *.h)
file(COPY
${all_headers}
DESTINATION
${PROJECT_BINARY_DIR}/include/kaldi-native-fbank/csrc
)
install(FILES ${all_headers}
DESTINATION include/kaldi-native-fbank/csrc
)

120
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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/feature-fbank.cc
//
#include "kaldi-native-fbank/csrc/feature-fbank.h"
#include <algorithm>
#include <cmath>
#include <limits>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-functions.h"
namespace knf {
static void Sqrt(float *in_out, int32_t n) {
for (int32_t i = 0; i != n; ++i) {
in_out[i] = std::sqrt(in_out[i]);
}
}
std::ostream &operator<<(std::ostream &os, const FbankOptions &opts) {
os << opts.ToString();
return os;
}
FbankComputer::FbankComputer(const FbankOptions &opts)
: opts_(opts), rfft_(opts.frame_opts.PaddedWindowSize()) {
if (opts.energy_floor > 0.0f) {
log_energy_floor_ = logf(opts.energy_floor);
}
// We'll definitely need the filterbanks info for VTLN warping factor 1.0.
// [note: this call caches it.]
GetMelBanks(1.0f);
}
FbankComputer::~FbankComputer() {
for (auto iter = mel_banks_.begin(); iter != mel_banks_.end(); ++iter)
delete iter->second;
}
const MelBanks *FbankComputer::GetMelBanks(float vtln_warp) {
MelBanks *this_mel_banks = nullptr;
// std::map<float, MelBanks *>::iterator iter = mel_banks_.find(vtln_warp);
auto iter = mel_banks_.find(vtln_warp);
if (iter == mel_banks_.end()) {
this_mel_banks = new MelBanks(opts_.mel_opts, opts_.frame_opts, vtln_warp);
mel_banks_[vtln_warp] = this_mel_banks;
} else {
this_mel_banks = iter->second;
}
return this_mel_banks;
}
void FbankComputer::Compute(float signal_raw_log_energy, float vtln_warp,
std::vector<float> *signal_frame, float *feature) {
const MelBanks &mel_banks = *(GetMelBanks(vtln_warp));
KNF_CHECK_EQ(signal_frame->size(), opts_.frame_opts.PaddedWindowSize());
// Compute energy after window function (not the raw one).
if (opts_.use_energy && !opts_.raw_energy) {
signal_raw_log_energy = std::log(
std::max<float>(InnerProduct(signal_frame->data(), signal_frame->data(),
signal_frame->size()),
std::numeric_limits<float>::epsilon()));
}
rfft_.Compute(signal_frame->data()); // signal_frame is modified in-place
ComputePowerSpectrum(signal_frame);
// Use magnitude instead of power if requested.
if (!opts_.use_power) {
Sqrt(signal_frame->data(), signal_frame->size() / 2 + 1);
}
int32_t mel_offset = ((opts_.use_energy && !opts_.htk_compat) ? 1 : 0);
// Its length is opts_.mel_opts.num_bins
float *mel_energies = feature + mel_offset;
// Sum with mel filter banks over the power spectrum
mel_banks.Compute(signal_frame->data(), mel_energies);
if (opts_.use_log_fbank) {
// Avoid log of zero (which should be prevented anyway by dithering).
for (int32_t i = 0; i != opts_.mel_opts.num_bins; ++i) {
auto t = std::max(mel_energies[i], std::numeric_limits<float>::epsilon());
mel_energies[i] = std::log(t);
}
}
// Copy energy as first value (or the last, if htk_compat == true).
if (opts_.use_energy) {
if (opts_.energy_floor > 0.0 && signal_raw_log_energy < log_energy_floor_) {
signal_raw_log_energy = log_energy_floor_;
}
int32_t energy_index = opts_.htk_compat ? opts_.mel_opts.num_bins : 0;
feature[energy_index] = signal_raw_log_energy;
}
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/feature-fbank.h
#ifndef KALDI_NATIVE_FBANK_CSRC_FEATURE_FBANK_H_
#define KALDI_NATIVE_FBANK_CSRC_FEATURE_FBANK_H_
#include <map>
#include <string>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-window.h"
#include "kaldi-native-fbank/csrc/mel-computations.h"
#include "kaldi-native-fbank/csrc/rfft.h"
namespace knf {
struct FbankOptions {
FrameExtractionOptions frame_opts;
MelBanksOptions mel_opts;
// append an extra dimension with energy to the filter banks
bool use_energy = false;
float energy_floor = 0.0f; // active iff use_energy==true
// If true, compute log_energy before preemphasis and windowing
// If false, compute log_energy after preemphasis ans windowing
bool raw_energy = true; // active iff use_energy==true
// If true, put energy last (if using energy)
// If false, put energy first
bool htk_compat = false; // active iff use_energy==true
// if true (default), produce log-filterbank, else linear
bool use_log_fbank = true;
// if true (default), use power in filterbank
// analysis, else magnitude.
bool use_power = true;
FbankOptions() { mel_opts.num_bins = 23; }
std::string ToString() const {
std::ostringstream os;
os << "frame_opts: \n";
os << frame_opts << "\n";
os << "\n";
os << "mel_opts: \n";
os << mel_opts << "\n";
os << "use_energy: " << use_energy << "\n";
os << "energy_floor: " << energy_floor << "\n";
os << "raw_energy: " << raw_energy << "\n";
os << "htk_compat: " << htk_compat << "\n";
os << "use_log_fbank: " << use_log_fbank << "\n";
os << "use_power: " << use_power << "\n";
return os.str();
}
};
std::ostream &operator<<(std::ostream &os, const FbankOptions &opts);
class FbankComputer {
public:
using Options = FbankOptions;
explicit FbankComputer(const FbankOptions &opts);
~FbankComputer();
int32_t Dim() const {
return opts_.mel_opts.num_bins + (opts_.use_energy ? 1 : 0);
}
// if true, compute log_energy_pre_window but after dithering and dc removal
bool NeedRawLogEnergy() const { return opts_.use_energy && opts_.raw_energy; }
const FrameExtractionOptions &GetFrameOptions() const {
return opts_.frame_opts;
}
const FbankOptions &GetOptions() const { return opts_; }
/**
Function that computes one frame of features from
one frame of signal.
@param [in] signal_raw_log_energy The log-energy of the frame of the signal
prior to windowing and pre-emphasis, or
log(numeric_limits<float>::min()), whichever is greater. Must be
ignored by this function if this class returns false from
this->NeedsRawLogEnergy().
@param [in] vtln_warp The VTLN warping factor that the user wants
to be applied when computing features for this utterance. Will
normally be 1.0, meaning no warping is to be done. The value will
be ignored for feature types that don't support VLTN, such as
spectrogram features.
@param [in] signal_frame One frame of the signal,
as extracted using the function ExtractWindow() using the options
returned by this->GetFrameOptions(). The function will use the
vector as a workspace, which is why it's a non-const pointer.
@param [out] feature Pointer to a vector of size this->Dim(), to which
the computed feature will be written. It should be pre-allocated.
*/
void Compute(float signal_raw_log_energy, float vtln_warp,
std::vector<float> *signal_frame, float *feature);
private:
const MelBanks *GetMelBanks(float vtln_warp);
FbankOptions opts_;
float log_energy_floor_;
std::map<float, MelBanks *> mel_banks_; // float is VTLN coefficient.
Rfft rfft_;
};
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_FEATURE_FBANK_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/feature-functions.cc
#include "kaldi-native-fbank/csrc/feature-functions.h"
#include <cstdint>
#include <vector>
namespace knf {
void ComputePowerSpectrum(std::vector<float> *complex_fft) {
int32_t dim = complex_fft->size();
// now we have in complex_fft, first half of complex spectrum
// it's stored as [real0, realN/2, real1, im1, real2, im2, ...]
float *p = complex_fft->data();
int32_t half_dim = dim / 2;
float first_energy = p[0] * p[0];
float last_energy = p[1] * p[1]; // handle this special case
for (int32_t i = 1; i < half_dim; ++i) {
float real = p[i * 2];
float im = p[i * 2 + 1];
p[i] = real * real + im * im;
}
p[0] = first_energy;
p[half_dim] = last_energy; // Will actually never be used, and anyway
// if the signal has been bandlimited sensibly this should be zero.
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/feature-functions.h
#ifndef KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_
#define KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_
#include <vector>
namespace knf {
// ComputePowerSpectrum converts a complex FFT (as produced by the FFT
// functions in csrc/rfft.h), and converts it into
// a power spectrum. If the complex FFT is a vector of size n (representing
// half of the complex FFT of a real signal of size n, as described there),
// this function computes in the first (n/2) + 1 elements of it, the
// energies of the fft bins from zero to the Nyquist frequency. Contents of the
// remaining (n/2) - 1 elements are undefined at output.
void ComputePowerSpectrum(std::vector<float> *complex_fft);
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_

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// kaldi-native-fbank/csrc/feature-window.cc
//
// Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
// This file is copied/modified from kaldi/src/feat/feature-window.cc
#include "kaldi-native-fbank/csrc/feature-window.h"
#include <algorithm>
#include <cmath>
#include <limits>
#include <vector>
#ifndef M_2PI
#define M_2PI 6.283185307179586476925286766559005
#endif
namespace knf {
std::ostream &operator<<(std::ostream &os, const FrameExtractionOptions &opts) {
os << opts.ToString();
return os;
}
FeatureWindowFunction::FeatureWindowFunction(const FrameExtractionOptions &opts)
: window_(opts.WindowSize()) {
int32_t frame_length = opts.WindowSize();
KNF_CHECK_GT(frame_length, 0);
float *window_data = window_.data();
double a = M_2PI / (frame_length - 1);
for (int32_t i = 0; i < frame_length; i++) {
double i_fl = static_cast<double>(i);
if (opts.window_type == "hanning") {
window_data[i] = 0.5 - 0.5 * cos(a * i_fl);
} else if (opts.window_type == "sine") {
// when you are checking ws wikipedia, please
// note that 0.5 * a = M_PI/(frame_length-1)
window_data[i] = sin(0.5 * a * i_fl);
} else if (opts.window_type == "hamming") {
window_data[i] = 0.54 - 0.46 * cos(a * i_fl);
} else if (opts.window_type ==
"povey") { // like hamming but goes to zero at edges.
window_data[i] = pow(0.5 - 0.5 * cos(a * i_fl), 0.85);
} else if (opts.window_type == "rectangular") {
window_data[i] = 1.0;
} else if (opts.window_type == "blackman") {
window_data[i] = opts.blackman_coeff - 0.5 * cos(a * i_fl) +
(0.5 - opts.blackman_coeff) * cos(2 * a * i_fl);
} else {
KNF_LOG(FATAL) << "Invalid window type " << opts.window_type;
}
}
}
void FeatureWindowFunction::Apply(float *wave) const {
int32_t window_size = window_.size();
const float *p = window_.data();
for (int32_t k = 0; k != window_size; ++k) {
wave[k] *= p[k];
}
}
int64_t FirstSampleOfFrame(int32_t frame, const FrameExtractionOptions &opts) {
int64_t frame_shift = opts.WindowShift();
if (opts.snip_edges) {
return frame * frame_shift;
} else {
int64_t midpoint_of_frame = frame_shift * frame + frame_shift / 2,
beginning_of_frame = midpoint_of_frame - opts.WindowSize() / 2;
return beginning_of_frame;
}
}
int32_t NumFrames(int64_t num_samples, const FrameExtractionOptions &opts,
bool flush /*= true*/) {
int64_t frame_shift = opts.WindowShift();
int64_t frame_length = opts.WindowSize();
if (opts.snip_edges) {
// with --snip-edges=true (the default), we use a HTK-like approach to
// determining the number of frames-- all frames have to fit completely into
// the waveform, and the first frame begins at sample zero.
if (num_samples < frame_length)
return 0;
else
return (1 + ((num_samples - frame_length) / frame_shift));
// You can understand the expression above as follows: 'num_samples -
// frame_length' is how much room we have to shift the frame within the
// waveform; 'frame_shift' is how much we shift it each time; and the ratio
// is how many times we can shift it (integer arithmetic rounds down).
} else {
// if --snip-edges=false, the number of frames is determined by rounding the
// (file-length / frame-shift) to the nearest integer. The point of this
// formula is to make the number of frames an obvious and predictable
// function of the frame shift and signal length, which makes many
// segmentation-related questions simpler.
//
// Because integer division in C++ rounds toward zero, we add (half the
// frame-shift minus epsilon) before dividing, to have the effect of
// rounding towards the closest integer.
int32_t num_frames = (num_samples + (frame_shift / 2)) / frame_shift;
if (flush) return num_frames;
// note: 'end' always means the last plus one, i.e. one past the last.
int64_t end_sample_of_last_frame =
FirstSampleOfFrame(num_frames - 1, opts) + frame_length;
// the following code is optimized more for clarity than efficiency.
// If flush == false, we can't output frames that extend past the end
// of the signal.
while (num_frames > 0 && end_sample_of_last_frame > num_samples) {
num_frames--;
end_sample_of_last_frame -= frame_shift;
}
return num_frames;
}
}
void ExtractWindow(int64_t sample_offset, const std::vector<float> &wave,
int32_t f, const FrameExtractionOptions &opts,
const FeatureWindowFunction &window_function,
std::vector<float> *window,
float *log_energy_pre_window /*= nullptr*/) {
KNF_CHECK(sample_offset >= 0 && wave.size() != 0);
int32_t frame_length = opts.WindowSize();
int32_t frame_length_padded = opts.PaddedWindowSize();
int64_t num_samples = sample_offset + wave.size();
int64_t start_sample = FirstSampleOfFrame(f, opts);
int64_t end_sample = start_sample + frame_length;
if (opts.snip_edges) {
KNF_CHECK(start_sample >= sample_offset && end_sample <= num_samples);
} else {
KNF_CHECK(sample_offset == 0 || start_sample >= sample_offset);
}
if (window->size() != frame_length_padded) {
window->resize(frame_length_padded);
}
// wave_start and wave_end are start and end indexes into 'wave', for the
// piece of wave that we're trying to extract.
int32_t wave_start = int32_t(start_sample - sample_offset);
int32_t wave_end = wave_start + frame_length;
if (wave_start >= 0 && wave_end <= wave.size()) {
// the normal case-- no edge effects to consider.
std::copy(wave.begin() + wave_start,
wave.begin() + wave_start + frame_length, window->data());
} else {
// Deal with any end effects by reflection, if needed. This code will only
// be reached for about two frames per utterance, so we don't concern
// ourselves excessively with efficiency.
int32_t wave_dim = wave.size();
for (int32_t s = 0; s < frame_length; ++s) {
int32_t s_in_wave = s + wave_start;
while (s_in_wave < 0 || s_in_wave >= wave_dim) {
// reflect around the beginning or end of the wave.
// e.g. -1 -> 0, -2 -> 1.
// dim -> dim - 1, dim + 1 -> dim - 2.
// the code supports repeated reflections, although this
// would only be needed in pathological cases.
if (s_in_wave < 0)
s_in_wave = -s_in_wave - 1;
else
s_in_wave = 2 * wave_dim - 1 - s_in_wave;
}
(*window)[s] = wave[s_in_wave];
}
}
ProcessWindow(opts, window_function, window->data(), log_energy_pre_window);
}
static void RemoveDcOffset(float *d, int32_t n) {
float sum = 0;
for (int32_t i = 0; i != n; ++i) {
sum += d[i];
}
float mean = sum / n;
for (int32_t i = 0; i != n; ++i) {
d[i] -= mean;
}
}
float InnerProduct(const float *a, const float *b, int32_t n) {
float sum = 0;
for (int32_t i = 0; i != n; ++i) {
sum += a[i] * b[i];
}
return sum;
}
static void Preemphasize(float *d, int32_t n, float preemph_coeff) {
if (preemph_coeff == 0.0) {
return;
}
KNF_CHECK(preemph_coeff >= 0.0 && preemph_coeff <= 1.0);
for (int32_t i = n - 1; i > 0; --i) {
d[i] -= preemph_coeff * d[i - 1];
}
d[0] -= preemph_coeff * d[0];
}
void ProcessWindow(const FrameExtractionOptions &opts,
const FeatureWindowFunction &window_function, float *window,
float *log_energy_pre_window /*= nullptr*/) {
int32_t frame_length = opts.WindowSize();
// // TODO(fangjun): Remove dither
// KNF_CHECK_EQ(opts.dither, 0);
// Add dither function
// https://github.com/kaldi-asr/kaldi/blob/master/src/feat/feature-window.cc
if (opts.dither!=0) {
// kaldi::RandomState rstate;
// rstate.seed=0;
// for (int32 i = 0; i < frame_length; i++)
// window[i] += RandGauss(&rstate) * opts.dither;
}
if (opts.remove_dc_offset) {
RemoveDcOffset(window, frame_length);
}
if (log_energy_pre_window != NULL) {
float energy = std::max<float>(InnerProduct(window, window, frame_length),
std::numeric_limits<float>::epsilon());
*log_energy_pre_window = std::log(energy);
}
if (opts.preemph_coeff != 0.0) {
Preemphasize(window, frame_length, opts.preemph_coeff);
}
window_function.Apply(window);
}
} // namespace knf

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// kaldi-native-fbank/csrc/feature-window.h
//
// Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
// This file is copied/modified from kaldi/src/feat/feature-window.h
#ifndef KALDI_NATIVE_FBANK_CSRC_FEATURE_WINDOW_H_
#define KALDI_NATIVE_FBANK_CSRC_FEATURE_WINDOW_H_
#include <sstream>
#include <string>
#include <vector>
#include "kaldi-native-fbank/csrc/log.h"
namespace knf {
inline int32_t RoundUpToNearestPowerOfTwo(int32_t n) {
// copied from kaldi/src/base/kaldi-math.cc
KNF_CHECK_GT(n, 0);
n--;
n |= n >> 1;
n |= n >> 2;
n |= n >> 4;
n |= n >> 8;
n |= n >> 16;
return n + 1;
}
struct FrameExtractionOptions {
float samp_freq = 16000;
float frame_shift_ms = 10.0f; // in milliseconds.
float frame_length_ms = 25.0f; // in milliseconds.
float dither = 1.0f; // Amount of dithering, 0.0 means no dither.
float preemph_coeff = 0.97f; // Preemphasis coefficient.
bool remove_dc_offset = true; // Subtract mean of wave before FFT.
std::string window_type = "povey"; // e.g. Hamming window
// May be "hamming", "rectangular", "povey", "hanning", "sine", "blackman"
// "povey" is a window I made to be similar to Hamming but to go to zero at
// the edges, it's pow((0.5 - 0.5*cos(n/N*2*pi)), 0.85) I just don't think the
// Hamming window makes sense as a windowing function.
bool round_to_power_of_two = true;
float blackman_coeff = 0.42f;
bool snip_edges = true;
// bool allow_downsample = false;
// bool allow_upsample = false;
// Used for streaming feature extraction. It indicates the number
// of feature frames to keep in the recycling vector. -1 means to
// keep all feature frames.
int32_t max_feature_vectors = -1;
int32_t WindowShift() const {
return static_cast<int32_t>(samp_freq * 0.001f * frame_shift_ms);
}
int32_t WindowSize() const {
return static_cast<int32_t>(samp_freq * 0.001f * frame_length_ms);
}
int32_t PaddedWindowSize() const {
return (round_to_power_of_two ? RoundUpToNearestPowerOfTwo(WindowSize())
: WindowSize());
}
std::string ToString() const {
std::ostringstream os;
#define KNF_PRINT(x) os << #x << ": " << x << "\n"
KNF_PRINT(samp_freq);
KNF_PRINT(frame_shift_ms);
KNF_PRINT(frame_length_ms);
KNF_PRINT(dither);
KNF_PRINT(preemph_coeff);
KNF_PRINT(remove_dc_offset);
KNF_PRINT(window_type);
KNF_PRINT(round_to_power_of_two);
KNF_PRINT(blackman_coeff);
KNF_PRINT(snip_edges);
// KNF_PRINT(allow_downsample);
// KNF_PRINT(allow_upsample);
KNF_PRINT(max_feature_vectors);
#undef KNF_PRINT
return os.str();
}
};
std::ostream &operator<<(std::ostream &os, const FrameExtractionOptions &opts);
class FeatureWindowFunction {
public:
FeatureWindowFunction() = default;
explicit FeatureWindowFunction(const FrameExtractionOptions &opts);
/**
* @param wave Pointer to a 1-D array of shape [window_size].
* It is modified in-place: wave[i] = wave[i] * window_[i].
* @param
*/
void Apply(float *wave) const;
private:
std::vector<float> window_; // of size opts.WindowSize()
};
int64_t FirstSampleOfFrame(int32_t frame, const FrameExtractionOptions &opts);
/**
This function returns the number of frames that we can extract from a wave
file with the given number of samples in it (assumed to have the same
sampling rate as specified in 'opts').
@param [in] num_samples The number of samples in the wave file.
@param [in] opts The frame-extraction options class
@param [in] flush True if we are asserting that this number of samples
is 'all there is', false if we expecting more data to possibly come in. This
only makes a difference to the answer
if opts.snips_edges== false. For offline feature extraction you always want
flush == true. In an online-decoding context, once you know (or decide) that
no more data is coming in, you'd call it with flush == true at the end to
flush out any remaining data.
*/
int32_t NumFrames(int64_t num_samples, const FrameExtractionOptions &opts,
bool flush = true);
/*
ExtractWindow() extracts a windowed frame of waveform (possibly with a
power-of-two, padded size, depending on the config), including all the
processing done by ProcessWindow().
@param [in] sample_offset If 'wave' is not the entire waveform, but
part of it to the left has been discarded, then the
number of samples prior to 'wave' that we have
already discarded. Set this to zero if you are
processing the entire waveform in one piece, or
if you get 'no matching function' compilation
errors when updating the code.
@param [in] wave The waveform
@param [in] f The frame index to be extracted, with
0 <= f < NumFrames(sample_offset + wave.Dim(), opts, true)
@param [in] opts The options class to be used
@param [in] window_function The windowing function, as derived from the
options class.
@param [out] window The windowed, possibly-padded waveform to be
extracted. Will be resized as needed.
@param [out] log_energy_pre_window If non-NULL, the log-energy of
the signal prior to pre-emphasis and multiplying by
the windowing function will be written to here.
*/
void ExtractWindow(int64_t sample_offset, const std::vector<float> &wave,
int32_t f, const FrameExtractionOptions &opts,
const FeatureWindowFunction &window_function,
std::vector<float> *window,
float *log_energy_pre_window = nullptr);
/**
This function does all the windowing steps after actually
extracting the windowed signal: depending on the
configuration, it does dithering, dc offset removal,
preemphasis, and multiplication by the windowing function.
@param [in] opts The options class to be used
@param [in] window_function The windowing function-- should have
been initialized using 'opts'.
@param [in,out] window A vector of size opts.WindowSize(). Note:
it will typically be a sub-vector of a larger vector of size
opts.PaddedWindowSize(), with the remaining samples zero,
as the FFT code is more efficient if it operates on data with
power-of-two size.
@param [out] log_energy_pre_window If non-NULL, then after dithering and
DC offset removal, this function will write to this pointer the log of
the total energy (i.e. sum-squared) of the frame.
*/
void ProcessWindow(const FrameExtractionOptions &opts,
const FeatureWindowFunction &window_function, float *window,
float *log_energy_pre_window = nullptr);
// Compute the inner product of two vectors
float InnerProduct(const float *a, const float *b, int32_t n);
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_FEATURE_WINDOW_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
/*
* Stack trace related stuff is from kaldi.
* Refer to
* https://github.com/kaldi-asr/kaldi/blob/master/src/base/kaldi-error.cc
*/
#include "kaldi-native-fbank/csrc/log.h"
#ifdef KNF_HAVE_EXECINFO_H
#include <execinfo.h> // To get stack trace in error messages.
#ifdef KNF_HAVE_CXXABI_H
#include <cxxabi.h> // For name demangling.
// Useful to decode the stack trace, but only used if we have execinfo.h
#endif // KNF_HAVE_CXXABI_H
#endif // KNF_HAVE_EXECINFO_H
#include <stdlib.h>
#include <ctime>
#include <iomanip>
#include <string>
namespace knf {
std::string GetDateTimeStr() {
std::ostringstream os;
std::time_t t = std::time(nullptr);
std::tm tm = *std::localtime(&t);
os << std::put_time(&tm, "%F %T"); // yyyy-mm-dd hh:mm:ss
return os.str();
}
static bool LocateSymbolRange(const std::string &trace_name, std::size_t *begin,
std::size_t *end) {
// Find the first '_' with leading ' ' or '('.
*begin = std::string::npos;
for (std::size_t i = 1; i < trace_name.size(); ++i) {
if (trace_name[i] != '_') {
continue;
}
if (trace_name[i - 1] == ' ' || trace_name[i - 1] == '(') {
*begin = i;
break;
}
}
if (*begin == std::string::npos) {
return false;
}
*end = trace_name.find_first_of(" +", *begin);
return *end != std::string::npos;
}
#ifdef KNF_HAVE_EXECINFO_H
static std::string Demangle(const std::string &trace_name) {
#ifndef KNF_HAVE_CXXABI_H
return trace_name;
#else // KNF_HAVE_CXXABI_H
// Try demangle the symbol. We are trying to support the following formats
// produced by different platforms:
//
// Linux:
// ./kaldi-error-test(_ZN5kaldi13UnitTestErrorEv+0xb) [0x804965d]
//
// Mac:
// 0 server 0x000000010f67614d _ZNK5kaldi13MessageLogger10LogMessageEv + 813
//
// We want to extract the name e.g., '_ZN5kaldi13UnitTestErrorEv' and
// demangle it info a readable name like kaldi::UnitTextError.
std::size_t begin, end;
if (!LocateSymbolRange(trace_name, &begin, &end)) {
return trace_name;
}
std::string symbol = trace_name.substr(begin, end - begin);
int status;
char *demangled_name = abi::__cxa_demangle(symbol.c_str(), 0, 0, &status);
if (status == 0 && demangled_name != nullptr) {
symbol = demangled_name;
free(demangled_name);
}
return trace_name.substr(0, begin) + symbol +
trace_name.substr(end, std::string::npos);
#endif // KNF_HAVE_CXXABI_H
}
#endif // KNF_HAVE_EXECINFO_H
std::string GetStackTrace() {
std::string ans;
#ifdef KNF_HAVE_EXECINFO_H
constexpr const std::size_t kMaxTraceSize = 50;
constexpr const std::size_t kMaxTracePrint = 50; // Must be even.
// Buffer for the trace.
void *trace[kMaxTraceSize];
// Get the trace.
std::size_t size = backtrace(trace, kMaxTraceSize);
// Get the trace symbols.
char **trace_symbol = backtrace_symbols(trace, size);
if (trace_symbol == nullptr) return ans;
// Compose a human-readable backtrace string.
ans += "[ Stack-Trace: ]\n";
if (size <= kMaxTracePrint) {
for (std::size_t i = 0; i < size; ++i) {
ans += Demangle(trace_symbol[i]) + "\n";
}
} else { // Print out first+last (e.g.) 5.
for (std::size_t i = 0; i < kMaxTracePrint / 2; ++i) {
ans += Demangle(trace_symbol[i]) + "\n";
}
ans += ".\n.\n.\n";
for (std::size_t i = size - kMaxTracePrint / 2; i < size; ++i) {
ans += Demangle(trace_symbol[i]) + "\n";
}
if (size == kMaxTraceSize)
ans += ".\n.\n.\n"; // Stack was too long, probably a bug.
}
// We must free the array of pointers allocated by backtrace_symbols(),
// but not the strings themselves.
free(trace_symbol);
#endif // KNF_HAVE_EXECINFO_H
return ans;
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// The content in this file is copied/modified from
// https://github.com/k2-fsa/k2/blob/master/k2/csrc/log.h
#ifndef KALDI_NATIVE_FBANK_CSRC_LOG_H_
#define KALDI_NATIVE_FBANK_CSRC_LOG_H_
#include <stdio.h>
#include <mutex> // NOLINT
#include <sstream>
#include <string>
namespace knf {
#if KNF_ENABLE_CHECK
#if defined(NDEBUG)
constexpr bool kDisableDebug = true;
#else
constexpr bool kDisableDebug = false;
#endif
enum class LogLevel {
kTrace = 0,
kDebug = 1,
kInfo = 2,
kWarning = 3,
kError = 4,
kFatal = 5, // print message and abort the program
};
// They are used in KNF_LOG(xxx), so their names
// do not follow the google c++ code style
//
// You can use them in the following way:
//
// KNF_LOG(TRACE) << "some message";
// KNF_LOG(DEBUG) << "some message";
#ifndef _MSC_VER
constexpr LogLevel TRACE = LogLevel::kTrace;
constexpr LogLevel DEBUG = LogLevel::kDebug;
constexpr LogLevel INFO = LogLevel::kInfo;
constexpr LogLevel WARNING = LogLevel::kWarning;
constexpr LogLevel ERROR = LogLevel::kError;
constexpr LogLevel FATAL = LogLevel::kFatal;
#else
#define TRACE LogLevel::kTrace
#define DEBUG LogLevel::kDebug
#define INFO LogLevel::kInfo
#define WARNING LogLevel::kWarning
#define ERROR LogLevel::kError
#define FATAL LogLevel::kFatal
#endif
std::string GetStackTrace();
/* Return the current log level.
If the current log level is TRACE, then all logged messages are printed out.
If the current log level is DEBUG, log messages with "TRACE" level are not
shown and all other levels are printed out.
Similarly, if the current log level is INFO, log message with "TRACE" and
"DEBUG" are not shown and all other levels are printed out.
If it is FATAL, then only FATAL messages are shown.
*/
inline LogLevel GetCurrentLogLevel() {
static LogLevel log_level = INFO;
static std::once_flag init_flag;
std::call_once(init_flag, []() {
const char *env_log_level = std::getenv("KNF_LOG_LEVEL");
if (env_log_level == nullptr) return;
std::string s = env_log_level;
if (s == "TRACE")
log_level = TRACE;
else if (s == "DEBUG")
log_level = DEBUG;
else if (s == "INFO")
log_level = INFO;
else if (s == "WARNING")
log_level = WARNING;
else if (s == "ERROR")
log_level = ERROR;
else if (s == "FATAL")
log_level = FATAL;
else
fprintf(stderr,
"Unknown KNF_LOG_LEVEL: %s"
"\nSupported values are: "
"TRACE, DEBUG, INFO, WARNING, ERROR, FATAL",
s.c_str());
});
return log_level;
}
inline bool EnableAbort() {
static std::once_flag init_flag;
static bool enable_abort = false;
std::call_once(init_flag, []() {
enable_abort = (std::getenv("KNF_ABORT") != nullptr);
});
return enable_abort;
}
class Logger {
public:
Logger(const char *filename, const char *func_name, uint32_t line_num,
LogLevel level)
: filename_(filename),
func_name_(func_name),
line_num_(line_num),
level_(level) {
cur_level_ = GetCurrentLogLevel();
fprintf(stderr, "here\n");
switch (level) {
case TRACE:
if (cur_level_ <= TRACE) fprintf(stderr, "[T] ");
break;
case DEBUG:
if (cur_level_ <= DEBUG) fprintf(stderr, "[D] ");
break;
case INFO:
if (cur_level_ <= INFO) fprintf(stderr, "[I] ");
break;
case WARNING:
if (cur_level_ <= WARNING) fprintf(stderr, "[W] ");
break;
case ERROR:
if (cur_level_ <= ERROR) fprintf(stderr, "[E] ");
break;
case FATAL:
if (cur_level_ <= FATAL) fprintf(stderr, "[F] ");
break;
}
if (cur_level_ <= level_) {
fprintf(stderr, "%s:%u:%s ", filename, line_num, func_name);
}
}
~Logger() noexcept(false) {
static constexpr const char *kErrMsg = R"(
Some bad things happened. Please read the above error messages and stack
trace. If you are using Python, the following command may be helpful:
gdb --args python /path/to/your/code.py
(You can use `gdb` to debug the code. Please consider compiling
a debug version of KNF.).
If you are unable to fix it, please open an issue at:
https://github.com/csukuangfj/kaldi-native-fbank/issues/new
)";
fprintf(stderr, "\n");
if (level_ == FATAL) {
std::string stack_trace = GetStackTrace();
if (!stack_trace.empty()) {
fprintf(stderr, "\n\n%s\n", stack_trace.c_str());
}
fflush(nullptr);
#ifndef __ANDROID_API__
if (EnableAbort()) {
// NOTE: abort() will terminate the program immediately without
// printing the Python stack backtrace.
abort();
}
throw std::runtime_error(kErrMsg);
#else
abort();
#endif
}
}
const Logger &operator<<(bool b) const {
if (cur_level_ <= level_) {
fprintf(stderr, b ? "true" : "false");
}
return *this;
}
const Logger &operator<<(int8_t i) const {
if (cur_level_ <= level_) fprintf(stderr, "%d", i);
return *this;
}
const Logger &operator<<(const char *s) const {
if (cur_level_ <= level_) fprintf(stderr, "%s", s);
return *this;
}
const Logger &operator<<(int32_t i) const {
if (cur_level_ <= level_) fprintf(stderr, "%d", i);
return *this;
}
const Logger &operator<<(uint32_t i) const {
if (cur_level_ <= level_) fprintf(stderr, "%u", i);
return *this;
}
const Logger &operator<<(uint64_t i) const {
if (cur_level_ <= level_)
fprintf(stderr, "%llu", (long long unsigned int)i); // NOLINT
return *this;
}
const Logger &operator<<(int64_t i) const {
if (cur_level_ <= level_)
fprintf(stderr, "%lli", (long long int)i); // NOLINT
return *this;
}
const Logger &operator<<(float f) const {
if (cur_level_ <= level_) fprintf(stderr, "%f", f);
return *this;
}
const Logger &operator<<(double d) const {
if (cur_level_ <= level_) fprintf(stderr, "%f", d);
return *this;
}
template <typename T>
const Logger &operator<<(const T &t) const {
// require T overloads operator<<
std::ostringstream os;
os << t;
return *this << os.str().c_str();
}
// specialization to fix compile error: `stringstream << nullptr` is ambiguous
const Logger &operator<<(const std::nullptr_t &null) const {
if (cur_level_ <= level_) *this << "(null)";
return *this;
}
private:
const char *filename_;
const char *func_name_;
uint32_t line_num_;
LogLevel level_;
LogLevel cur_level_;
};
#endif // KNF_ENABLE_CHECK
class Voidifier {
public:
#if KNF_ENABLE_CHECK
void operator&(const Logger &) const {}
#endif
};
#if !defined(KNF_ENABLE_CHECK)
template <typename T>
const Voidifier &operator<<(const Voidifier &v, T &&) {
return v;
}
#endif
} // namespace knf
#define KNF_STATIC_ASSERT(x) static_assert(x, "")
#ifdef KNF_ENABLE_CHECK
#if defined(__clang__) || defined(__GNUC__) || defined(__GNUG__) || \
defined(__PRETTY_FUNCTION__)
// for clang and GCC
#define KNF_FUNC __PRETTY_FUNCTION__
#else
// for other compilers
#define KNF_FUNC __func__
#endif
#define KNF_CHECK(x) \
(x) ? (void)0 \
: ::knf::Voidifier() & \
::knf::Logger(__FILE__, KNF_FUNC, __LINE__, ::knf::FATAL) \
<< "Check failed: " << #x << " "
// WARNING: x and y may be evaluated multiple times, but this happens only
// when the check fails. Since the program aborts if it fails, we don't think
// the extra evaluation of x and y matters.
//
// CAUTION: we recommend the following use case:
//
// auto x = Foo();
// auto y = Bar();
// KNF_CHECK_EQ(x, y) << "Some message";
//
// And please avoid
//
// KNF_CHECK_EQ(Foo(), Bar());
//
// if `Foo()` or `Bar()` causes some side effects, e.g., changing some
// local static variables or global variables.
#define _KNF_CHECK_OP(x, y, op) \
((x)op(y)) ? (void)0 \
: ::knf::Voidifier() & \
::knf::Logger(__FILE__, KNF_FUNC, __LINE__, ::knf::FATAL) \
<< "Check failed: " << #x << " " << #op << " " << #y \
<< " (" << (x) << " vs. " << (y) << ") "
#define KNF_CHECK_EQ(x, y) _KNF_CHECK_OP(x, y, ==)
#define KNF_CHECK_NE(x, y) _KNF_CHECK_OP(x, y, !=)
#define KNF_CHECK_LT(x, y) _KNF_CHECK_OP(x, y, <)
#define KNF_CHECK_LE(x, y) _KNF_CHECK_OP(x, y, <=)
#define KNF_CHECK_GT(x, y) _KNF_CHECK_OP(x, y, >)
#define KNF_CHECK_GE(x, y) _KNF_CHECK_OP(x, y, >=)
#define KNF_LOG(x) ::knf::Logger(__FILE__, KNF_FUNC, __LINE__, ::knf::x)
// ------------------------------------------------------------
// For debug check
// ------------------------------------------------------------
// If you define the macro "-D NDEBUG" while compiling kaldi-native-fbank,
// the following macros are in fact empty and does nothing.
#define KNF_DCHECK(x) ::knf::kDisableDebug ? (void)0 : KNF_CHECK(x)
#define KNF_DCHECK_EQ(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_EQ(x, y)
#define KNF_DCHECK_NE(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_NE(x, y)
#define KNF_DCHECK_LT(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_LT(x, y)
#define KNF_DCHECK_LE(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_LE(x, y)
#define KNF_DCHECK_GT(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_GT(x, y)
#define KNF_DCHECK_GE(x, y) ::knf::kDisableDebug ? (void)0 : KNF_CHECK_GE(x, y)
#define KNF_DLOG(x) \
::knf::kDisableDebug ? (void)0 : ::knf::Voidifier() & KNF_LOG(x)
#else
#define KNF_CHECK(x) ::knf::Voidifier()
#define KNF_LOG(x) ::knf::Voidifier()
#define KNF_CHECK_EQ(x, y) ::knf::Voidifier()
#define KNF_CHECK_NE(x, y) ::knf::Voidifier()
#define KNF_CHECK_LT(x, y) ::knf::Voidifier()
#define KNF_CHECK_LE(x, y) ::knf::Voidifier()
#define KNF_CHECK_GT(x, y) ::knf::Voidifier()
#define KNF_CHECK_GE(x, y) ::knf::Voidifier()
#define KNF_DCHECK(x) ::knf::Voidifier()
#define KNF_DLOG(x) ::knf::Voidifier()
#define KNF_DCHECK_EQ(x, y) ::knf::Voidifier()
#define KNF_DCHECK_NE(x, y) ::knf::Voidifier()
#define KNF_DCHECK_LT(x, y) ::knf::Voidifier()
#define KNF_DCHECK_LE(x, y) ::knf::Voidifier()
#define KNF_DCHECK_GT(x, y) ::knf::Voidifier()
#define KNF_DCHECK_GE(x, y) ::knf::Voidifier()
#endif // KNF_CHECK_NE
#endif // KALDI_NATIVE_FBANK_CSRC_LOG_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/mel-computations.cc
#include "kaldi-native-fbank/csrc/mel-computations.h"
#include <algorithm>
#include <sstream>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-window.h"
namespace knf {
std::ostream &operator<<(std::ostream &os, const MelBanksOptions &opts) {
os << opts.ToString();
return os;
}
float MelBanks::VtlnWarpFreq(
float vtln_low_cutoff, // upper+lower frequency cutoffs for VTLN.
float vtln_high_cutoff,
float low_freq, // upper+lower frequency cutoffs in mel computation
float high_freq, float vtln_warp_factor, float freq) {
/// This computes a VTLN warping function that is not the same as HTK's one,
/// but has similar inputs (this function has the advantage of never producing
/// empty bins).
/// This function computes a warp function F(freq), defined between low_freq
/// and high_freq inclusive, with the following properties:
/// F(low_freq) == low_freq
/// F(high_freq) == high_freq
/// The function is continuous and piecewise linear with two inflection
/// points.
/// The lower inflection point (measured in terms of the unwarped
/// frequency) is at frequency l, determined as described below.
/// The higher inflection point is at a frequency h, determined as
/// described below.
/// If l <= f <= h, then F(f) = f/vtln_warp_factor.
/// If the higher inflection point (measured in terms of the unwarped
/// frequency) is at h, then max(h, F(h)) == vtln_high_cutoff.
/// Since (by the last point) F(h) == h/vtln_warp_factor, then
/// max(h, h/vtln_warp_factor) == vtln_high_cutoff, so
/// h = vtln_high_cutoff / max(1, 1/vtln_warp_factor).
/// = vtln_high_cutoff * min(1, vtln_warp_factor).
/// If the lower inflection point (measured in terms of the unwarped
/// frequency) is at l, then min(l, F(l)) == vtln_low_cutoff
/// This implies that l = vtln_low_cutoff / min(1, 1/vtln_warp_factor)
/// = vtln_low_cutoff * max(1, vtln_warp_factor)
if (freq < low_freq || freq > high_freq)
return freq; // in case this gets called
// for out-of-range frequencies, just return the freq.
KNF_CHECK_GT(vtln_low_cutoff, low_freq);
KNF_CHECK_LT(vtln_high_cutoff, high_freq);
float one = 1.0f;
float l = vtln_low_cutoff * std::max(one, vtln_warp_factor);
float h = vtln_high_cutoff * std::min(one, vtln_warp_factor);
float scale = 1.0f / vtln_warp_factor;
float Fl = scale * l; // F(l);
float Fh = scale * h; // F(h);
KNF_CHECK(l > low_freq && h < high_freq);
// slope of left part of the 3-piece linear function
float scale_left = (Fl - low_freq) / (l - low_freq);
// [slope of center part is just "scale"]
// slope of right part of the 3-piece linear function
float scale_right = (high_freq - Fh) / (high_freq - h);
if (freq < l) {
return low_freq + scale_left * (freq - low_freq);
} else if (freq < h) {
return scale * freq;
} else { // freq >= h
return high_freq + scale_right * (freq - high_freq);
}
}
float MelBanks::VtlnWarpMelFreq(
float vtln_low_cutoff, // upper+lower frequency cutoffs for VTLN.
float vtln_high_cutoff,
float low_freq, // upper+lower frequency cutoffs in mel computation
float high_freq, float vtln_warp_factor, float mel_freq) {
return MelScale(VtlnWarpFreq(vtln_low_cutoff, vtln_high_cutoff, low_freq,
high_freq, vtln_warp_factor,
InverseMelScale(mel_freq)));
}
MelBanks::MelBanks(const MelBanksOptions &opts,
const FrameExtractionOptions &frame_opts,
float vtln_warp_factor)
: htk_mode_(opts.htk_mode) {
int32_t num_bins = opts.num_bins;
if (num_bins < 3) KNF_LOG(FATAL) << "Must have at least 3 mel bins";
float sample_freq = frame_opts.samp_freq;
int32_t window_length_padded = frame_opts.PaddedWindowSize();
KNF_CHECK_EQ(window_length_padded % 2, 0);
int32_t num_fft_bins = window_length_padded / 2;
float nyquist = 0.5f * sample_freq;
float low_freq = opts.low_freq, high_freq;
if (opts.high_freq > 0.0f)
high_freq = opts.high_freq;
else
high_freq = nyquist + opts.high_freq;
if (low_freq < 0.0f || low_freq >= nyquist || high_freq <= 0.0f ||
high_freq > nyquist || high_freq <= low_freq) {
KNF_LOG(FATAL) << "Bad values in options: low-freq " << low_freq
<< " and high-freq " << high_freq << " vs. nyquist "
<< nyquist;
}
float fft_bin_width = sample_freq / window_length_padded;
// fft-bin width [think of it as Nyquist-freq / half-window-length]
float mel_low_freq = MelScale(low_freq);
float mel_high_freq = MelScale(high_freq);
debug_ = opts.debug_mel;
// divide by num_bins+1 in next line because of end-effects where the bins
// spread out to the sides.
float mel_freq_delta = (mel_high_freq - mel_low_freq) / (num_bins + 1);
float vtln_low = opts.vtln_low, vtln_high = opts.vtln_high;
if (vtln_high < 0.0f) {
vtln_high += nyquist;
}
if (vtln_warp_factor != 1.0f &&
(vtln_low < 0.0f || vtln_low <= low_freq || vtln_low >= high_freq ||
vtln_high <= 0.0f || vtln_high >= high_freq || vtln_high <= vtln_low)) {
KNF_LOG(FATAL) << "Bad values in options: vtln-low " << vtln_low
<< " and vtln-high " << vtln_high << ", versus "
<< "low-freq " << low_freq << " and high-freq " << high_freq;
}
bins_.resize(num_bins);
center_freqs_.resize(num_bins);
for (int32_t bin = 0; bin < num_bins; ++bin) {
float left_mel = mel_low_freq + bin * mel_freq_delta,
center_mel = mel_low_freq + (bin + 1) * mel_freq_delta,
right_mel = mel_low_freq + (bin + 2) * mel_freq_delta;
if (vtln_warp_factor != 1.0f) {
left_mel = VtlnWarpMelFreq(vtln_low, vtln_high, low_freq, high_freq,
vtln_warp_factor, left_mel);
center_mel = VtlnWarpMelFreq(vtln_low, vtln_high, low_freq, high_freq,
vtln_warp_factor, center_mel);
right_mel = VtlnWarpMelFreq(vtln_low, vtln_high, low_freq, high_freq,
vtln_warp_factor, right_mel);
}
center_freqs_[bin] = InverseMelScale(center_mel);
// this_bin will be a vector of coefficients that is only
// nonzero where this mel bin is active.
std::vector<float> this_bin(num_fft_bins);
int32_t first_index = -1, last_index = -1;
for (int32_t i = 0; i < num_fft_bins; ++i) {
float freq = (fft_bin_width * i); // Center frequency of this fft
// bin.
float mel = MelScale(freq);
if (mel > left_mel && mel < right_mel) {
float weight;
if (mel <= center_mel)
weight = (mel - left_mel) / (center_mel - left_mel);
else
weight = (right_mel - mel) / (right_mel - center_mel);
this_bin[i] = weight;
if (first_index == -1) first_index = i;
last_index = i;
}
}
KNF_CHECK(first_index != -1 && last_index >= first_index &&
"You may have set num_mel_bins too large.");
bins_[bin].first = first_index;
int32_t size = last_index + 1 - first_index;
bins_[bin].second.insert(bins_[bin].second.end(),
this_bin.begin() + first_index,
this_bin.begin() + first_index + size);
// Replicate a bug in HTK, for testing purposes.
if (opts.htk_mode && bin == 0 && mel_low_freq != 0.0f) {
bins_[bin].second[0] = 0.0;
}
} // for (int32_t bin = 0; bin < num_bins; ++bin) {
if (debug_) {
std::ostringstream os;
for (size_t i = 0; i < bins_.size(); i++) {
os << "bin " << i << ", offset = " << bins_[i].first << ", vec = ";
for (auto k : bins_[i].second) os << k << ", ";
os << "\n";
}
KNF_LOG(INFO) << os.str();
}
}
// "power_spectrum" contains fft energies.
void MelBanks::Compute(const float *power_spectrum,
float *mel_energies_out) const {
int32_t num_bins = bins_.size();
for (int32_t i = 0; i < num_bins; i++) {
int32_t offset = bins_[i].first;
const auto &v = bins_[i].second;
float energy = 0;
for (int32_t k = 0; k != v.size(); ++k) {
energy += v[k] * power_spectrum[k + offset];
}
// HTK-like flooring- for testing purposes (we prefer dither)
if (htk_mode_ && energy < 1.0) {
energy = 1.0;
}
mel_energies_out[i] = energy;
// The following assert was added due to a problem with OpenBlas that
// we had at one point (it was a bug in that library). Just to detect
// it early.
KNF_CHECK_EQ(energy, energy); // check that energy is not nan
}
if (debug_) {
fprintf(stderr, "MEL BANKS:\n");
for (int32_t i = 0; i < num_bins; i++)
fprintf(stderr, " %f", mel_energies_out[i]);
fprintf(stderr, "\n");
}
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/mel-computations.h
#ifndef KALDI_NATIVE_FBANK_CSRC_MEL_COMPUTATIONS_H_
#define KALDI_NATIVE_FBANK_CSRC_MEL_COMPUTATIONS_H_
#include <cmath>
#include <string>
#include <utility>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-window.h"
namespace knf {
struct MelBanksOptions {
int32_t num_bins = 25; // e.g. 25; number of triangular bins
float low_freq = 20; // e.g. 20; lower frequency cutoff
// an upper frequency cutoff; 0 -> no cutoff, negative
// ->added to the Nyquist frequency to get the cutoff.
float high_freq = 0;
float vtln_low = 100; // vtln lower cutoff of warping function.
// vtln upper cutoff of warping function: if negative, added
// to the Nyquist frequency to get the cutoff.
float vtln_high = -500;
bool debug_mel = false;
// htk_mode is a "hidden" config, it does not show up on command line.
// Enables more exact compatibility with HTK, for testing purposes. Affects
// mel-energy flooring and reproduces a bug in HTK.
bool htk_mode = false;
std::string ToString() const {
std::ostringstream os;
os << "num_bins: " << num_bins << "\n";
os << "low_freq: " << low_freq << "\n";
os << "high_freq: " << high_freq << "\n";
os << "vtln_low: " << vtln_low << "\n";
os << "vtln_high: " << vtln_high << "\n";
os << "debug_mel: " << debug_mel << "\n";
os << "htk_mode: " << htk_mode << "\n";
return os.str();
}
};
std::ostream &operator<<(std::ostream &os, const MelBanksOptions &opts);
class MelBanks {
public:
static inline float InverseMelScale(float mel_freq) {
return 700.0f * (expf(mel_freq / 1127.0f) - 1.0f);
}
static inline float MelScale(float freq) {
return 1127.0f * logf(1.0f + freq / 700.0f);
}
static float VtlnWarpFreq(
float vtln_low_cutoff,
float vtln_high_cutoff, // discontinuities in warp func
float low_freq,
float high_freq, // upper+lower frequency cutoffs in
// the mel computation
float vtln_warp_factor, float freq);
static float VtlnWarpMelFreq(float vtln_low_cutoff, float vtln_high_cutoff,
float low_freq, float high_freq,
float vtln_warp_factor, float mel_freq);
// TODO(fangjun): Remove vtln_warp_factor
MelBanks(const MelBanksOptions &opts,
const FrameExtractionOptions &frame_opts, float vtln_warp_factor);
/// Compute Mel energies (note: not log energies).
/// At input, "fft_energies" contains the FFT energies (not log).
///
/// @param fft_energies 1-D array of size num_fft_bins/2+1
/// @param mel_energies_out 1-D array of size num_mel_bins
void Compute(const float *fft_energies, float *mel_energies_out) const;
int32_t NumBins() const { return bins_.size(); }
private:
// center frequencies of bins, numbered from 0 ... num_bins-1.
// Needed by GetCenterFreqs().
std::vector<float> center_freqs_;
// the "bins_" vector is a vector, one for each bin, of a pair:
// (the first nonzero fft-bin), (the vector of weights).
std::vector<std::pair<int32_t, std::vector<float>>> bins_;
// TODO(fangjun): Remove debug_ and htk_mode_
bool debug_;
bool htk_mode_;
};
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_MEL_COMPUTATIONS_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// The content in this file is copied/modified from
// This file is copied/modified from kaldi/src/feat/online-feature.cc
#include "kaldi-native-fbank/csrc/online-feature.h"
#include <algorithm>
#include <utility>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-window.h"
#include "kaldi-native-fbank/csrc/log.h"
namespace knf {
RecyclingVector::RecyclingVector(int32_t items_to_hold)
: items_to_hold_(items_to_hold == 0 ? -1 : items_to_hold),
first_available_index_(0) {}
const float *RecyclingVector::At(int32_t index) const {
if (index < first_available_index_) {
KNF_LOG(FATAL) << "Attempted to retrieve feature vector that was "
"already removed by the RecyclingVector (index = "
<< index << "; "
<< "first_available_index = " << first_available_index_
<< "; "
<< "size = " << Size() << ")";
}
// 'at' does size checking.
return items_.at(index - first_available_index_).data();
}
void RecyclingVector::PushBack(std::vector<float> item) {
// Note: -1 is a larger number when treated as unsigned
if (items_.size() == static_cast<size_t>(items_to_hold_)) {
items_.pop_front();
++first_available_index_;
}
items_.push_back(std::move(item));
}
int32_t RecyclingVector::Size() const {
return first_available_index_ + static_cast<int32_t>(items_.size());
}
template <class C>
OnlineGenericBaseFeature<C>::OnlineGenericBaseFeature(
const typename C::Options &opts)
: computer_(opts),
window_function_(computer_.GetFrameOptions()),
features_(opts.frame_opts.max_feature_vectors),
input_finished_(false),
waveform_offset_(0) {
// RE the following assert: search for ONLINE_IVECTOR_LIMIT in
// online-ivector-feature.cc.
// Casting to uint32, an unsigned type, means that -1 would be treated
// as `very large`.
KNF_CHECK(static_cast<uint32_t>(opts.frame_opts.max_feature_vectors) > 200);
}
template <class C>
void OnlineGenericBaseFeature<C>::AcceptWaveform(float sampling_rate,
const float *waveform,
int32_t n) {
if (n == 0) {
return; // Nothing to do.
}
if (input_finished_) {
KNF_LOG(FATAL) << "AcceptWaveform called after InputFinished() was called.";
}
KNF_CHECK_EQ(sampling_rate, computer_.GetFrameOptions().samp_freq);
waveform_remainder_.insert(waveform_remainder_.end(), waveform, waveform + n);
ComputeFeatures();
}
template <class C>
void OnlineGenericBaseFeature<C>::InputFinished() {
input_finished_ = true;
ComputeFeatures();
}
template <class C>
void OnlineGenericBaseFeature<C>::ComputeFeatures() {
const FrameExtractionOptions &frame_opts = computer_.GetFrameOptions();
int64_t num_samples_total = waveform_offset_ + waveform_remainder_.size();
int32_t num_frames_old = features_.Size();
int32_t num_frames_new =
NumFrames(num_samples_total, frame_opts, input_finished_);
KNF_CHECK_GE(num_frames_new, num_frames_old);
// note: this online feature-extraction code does not support VTLN.
float vtln_warp = 1.0;
std::vector<float> window;
bool need_raw_log_energy = computer_.NeedRawLogEnergy();
for (int32_t frame = num_frames_old; frame < num_frames_new; ++frame) {
std::fill(window.begin(), window.end(), 0);
float raw_log_energy = 0.0;
ExtractWindow(waveform_offset_, waveform_remainder_, frame, frame_opts,
window_function_, &window,
need_raw_log_energy ? &raw_log_energy : nullptr);
std::vector<float> this_feature(computer_.Dim());
computer_.Compute(raw_log_energy, vtln_warp, &window, this_feature.data());
features_.PushBack(std::move(this_feature));
}
// OK, we will now discard any portion of the signal that will not be
// necessary to compute frames in the future.
int64_t first_sample_of_next_frame =
FirstSampleOfFrame(num_frames_new, frame_opts);
int32_t samples_to_discard = first_sample_of_next_frame - waveform_offset_;
if (samples_to_discard > 0) {
// discard the leftmost part of the waveform that we no longer need.
int32_t new_num_samples =
static_cast<int32_t>(waveform_remainder_.size()) - samples_to_discard;
if (new_num_samples <= 0) {
// odd, but we'll try to handle it.
waveform_offset_ += waveform_remainder_.size();
waveform_remainder_.resize(0);
} else {
std::vector<float> new_remainder(new_num_samples);
std::copy(waveform_remainder_.begin() + samples_to_discard,
waveform_remainder_.end(), new_remainder.begin());
waveform_offset_ += samples_to_discard;
waveform_remainder_.swap(new_remainder);
}
}
}
template class OnlineGenericBaseFeature<FbankComputer>;
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
// The content in this file is copied/modified from
// This file is copied/modified from kaldi/src/feat/online-feature.h
#ifndef KALDI_NATIVE_FBANK_CSRC_ONLINE_FEATURE_H_
#define KALDI_NATIVE_FBANK_CSRC_ONLINE_FEATURE_H_
#include <cstdint>
#include <deque>
#include <vector>
#include "kaldi-native-fbank/csrc/feature-fbank.h"
namespace knf {
/// This class serves as a storage for feature vectors with an option to limit
/// the memory usage by removing old elements. The deleted frames indices are
/// "remembered" so that regardless of the MAX_ITEMS setting, the user always
/// provides the indices as if no deletion was being performed.
/// This is useful when processing very long recordings which would otherwise
/// cause the memory to eventually blow up when the features are not being
/// removed.
class RecyclingVector {
public:
/// By default it does not remove any elements.
explicit RecyclingVector(int32_t items_to_hold = -1);
~RecyclingVector() = default;
RecyclingVector(const RecyclingVector &) = delete;
RecyclingVector &operator=(const RecyclingVector &) = delete;
// The pointer is owned by RecyclingVector
// Users should not free it
const float *At(int32_t index) const;
void PushBack(std::vector<float> item);
/// This method returns the size as if no "recycling" had happened,
/// i.e. equivalent to the number of times the PushBack method has been
/// called.
int32_t Size() const;
private:
std::deque<std::vector<float>> items_;
int32_t items_to_hold_;
int32_t first_available_index_;
};
/// This is a templated class for online feature extraction;
/// it's templated on a class like MfccComputer or PlpComputer
/// that does the basic feature extraction.
template <class C>
class OnlineGenericBaseFeature {
public:
// Constructor from options class
explicit OnlineGenericBaseFeature(const typename C::Options &opts);
int32_t Dim() const { return computer_.Dim(); }
float FrameShiftInSeconds() const {
return computer_.GetFrameOptions().frame_shift_ms / 1000.0f;
}
int32_t NumFramesReady() const { return features_.Size(); }
// Note: IsLastFrame() will only ever return true if you have called
// InputFinished() (and this frame is the last frame).
bool IsLastFrame(int32_t frame) const {
return input_finished_ && frame == NumFramesReady() - 1;
}
const float *GetFrame(int32_t frame) const { return features_.At(frame); }
// This would be called from the application, when you get
// more wave data. Note: the sampling_rate is only provided so
// the code can assert that it matches the sampling rate
// expected in the options.
//
// @param sampling_rate The sampling_rate of the input waveform
// @param waveform Pointer to a 1-D array of size n
// @param n Number of entries in waveform
void AcceptWaveform(float sampling_rate, const float *waveform, int32_t n);
// InputFinished() tells the class you won't be providing any
// more waveform. This will help flush out the last frame or two
// of features, in the case where snip-edges == false; it also
// affects the return value of IsLastFrame().
void InputFinished();
private:
// This function computes any additional feature frames that it is possible to
// compute from 'waveform_remainder_', which at this point may contain more
// than just a remainder-sized quantity (because AcceptWaveform() appends to
// waveform_remainder_ before calling this function). It adds these feature
// frames to features_, and shifts off any now-unneeded samples of input from
// waveform_remainder_ while incrementing waveform_offset_ by the same amount.
void ComputeFeatures();
C computer_; // class that does the MFCC or PLP or filterbank computation
FeatureWindowFunction window_function_;
// features_ is the Mfcc or Plp or Fbank features that we have already
// computed.
RecyclingVector features_;
// True if the user has called "InputFinished()"
bool input_finished_;
// waveform_offset_ is the number of samples of waveform that we have
// already discarded, i.e. that were prior to 'waveform_remainder_'.
int64_t waveform_offset_;
// waveform_remainder_ is a short piece of waveform that we may need to keep
// after extracting all the whole frames we can (whatever length of feature
// will be required for the next phase of computation).
// It is a 1-D tensor
std::vector<float> waveform_remainder_;
};
using OnlineFbank = OnlineGenericBaseFeature<FbankComputer>;
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_ONLINE_FEATURE_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/csrc/rfft.h"
#include <algorithm>
#include <cmath>
#include <vector>
#include "kaldi-native-fbank/csrc/log.h"
// see fftsg.c
#ifdef __cplusplus
extern "C" void rdft(int n, int isgn, double *a, int *ip, double *w);
#else
void rdft(int n, int isgn, double *a, int *ip, double *w);
#endif
namespace knf {
class Rfft::RfftImpl {
public:
explicit RfftImpl(int32_t n) : n_(n), ip_(2 + std::sqrt(n / 2)), w_(n / 2) {
KNF_CHECK_EQ(n & (n - 1), 0);
}
void Compute(float *in_out) {
std::vector<double> d(in_out, in_out + n_);
Compute(d.data());
std::copy(d.begin(), d.end(), in_out);
}
void Compute(double *in_out) {
// 1 means forward fft
rdft(n_, 1, in_out, ip_.data(), w_.data());
}
private:
int32_t n_;
std::vector<int32_t> ip_;
std::vector<double> w_;
};
Rfft::Rfft(int32_t n) : impl_(std::make_unique<RfftImpl>(n)) {}
Rfft::~Rfft() = default;
void Rfft::Compute(float *in_out) { impl_->Compute(in_out); }
void Rfft::Compute(double *in_out) { impl_->Compute(in_out); }
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_CSRC_RFFT_H_
#define KALDI_NATIVE_FBANK_CSRC_RFFT_H_
#include <memory>
namespace knf {
// n-point Real discrete Fourier transform
// where n is a power of 2. n >= 2
//
// R[k] = sum_j=0^n-1 in[j]*cos(2*pi*j*k/n), 0<=k<=n/2
// I[k] = sum_j=0^n-1 in[j]*sin(2*pi*j*k/n), 0<k<n/2
class Rfft {
public:
// @param n Number of fft bins. it should be a power of 2.
explicit Rfft(int32_t n);
~Rfft();
/** @param in_out A 1-D array of size n.
* On return:
* in_out[0] = R[0]
* in_out[1] = R[n/2]
* for 1 < k < n/2,
* in_out[2*k] = R[k]
* in_out[2*k+1] = I[k]
*
*/
void Compute(float *in_out);
void Compute(double *in_out);
private:
class RfftImpl;
std::unique_ptr<RfftImpl> impl_;
};
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_RFFT_H_

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/**
* Copyright 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "gtest/gtest.h"
#include "kaldi-native-fbank/csrc/log.h"
namespace knf {
#if KNF_ENABLE_CHECK
TEST(Log, TestLog) {
KNF_LOG(TRACE) << "this is a trace message";
KNF_LOG(DEBUG) << "this is a debug message";
KNF_LOG(INFO) << "this is an info message";
KNF_LOG(WARNING) << "this is a warning message";
KNF_LOG(ERROR) << "this is an error message";
ASSERT_THROW(KNF_LOG(FATAL) << "This will crash the program",
std::runtime_error);
// For debug build
KNF_DLOG(TRACE) << "this is a trace message for debug build";
KNF_DLOG(DEBUG) << "this is a trace message for debug build";
KNF_DLOG(INFO) << "this is a trace message for debug build";
KNF_DLOG(ERROR) << "this is an error message for debug build";
KNF_DLOG(WARNING) << "this is a trace message for debug build";
#if !defined(NDEBUG)
ASSERT_THROW(KNF_DLOG(FATAL) << "this is a trace message for debug build",
std::runtime_error);
#endif
}
TEST(Log, TestCheck) {
KNF_CHECK_EQ(1, 1) << "ok";
KNF_CHECK_LE(1, 3) << "ok";
KNF_CHECK_LT(1, 2) << "ok";
KNF_CHECK_GT(2, 1) << "ok";
KNF_CHECK_GE(2, 1) << "ok";
ASSERT_THROW(KNF_CHECK_EQ(2, 1) << "bad things happened", std::runtime_error);
// for debug build
KNF_DCHECK_EQ(1, 1) << "ok";
KNF_DCHECK_LE(1, 3) << "ok";
KNF_DCHECK_LT(1, 2) << "ok";
KNF_DCHECK_GT(2, 1) << "ok";
KNF_DCHECK_GE(2, 1) << "ok";
#if !defined(NDEBUG)
ASSERT_THROW(KNF_CHECK_EQ(2, 1) << "bad things happened", std::runtime_error);
#endif
}
#endif
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include <iostream>
#include "kaldi-native-fbank/csrc/online-feature.h"
int main() {
knf::FbankOptions opts;
opts.frame_opts.dither = 0;
opts.mel_opts.num_bins = 10;
knf::OnlineFbank fbank(opts);
for (int32_t i = 0; i < 1600; ++i) {
float s = (i * i - i / 2) / 32767.;
fbank.AcceptWaveform(16000, &s, 1);
}
std::ostringstream os;
int32_t n = fbank.NumFramesReady();
for (int32_t i = 0; i != n; ++i) {
const float *frame = fbank.GetFrame(i);
for (int32_t k = 0; k != opts.mel_opts.num_bins; ++k) {
os << frame[k] << ", ";
}
os << "\n";
}
std::cout << os.str() << "\n";
return 0;
}

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "gtest/gtest.h"
#include "kaldi-native-fbank/csrc/online-feature.h"
namespace knf {
TEST(RecyclingVector, TestUnlimited) {
RecyclingVector v(-1);
constexpr int32_t N = 100;
for (int32_t i = 0; i != N; ++i) {
std::unique_ptr<float[]> p(new float[3]{i, i + 1, i + 2});
v.PushBack(std::move(p));
}
ASSERT_EQ(v.Size(), N);
for (int32_t i = 0; i != N; ++i) {
const float *t = v.At(i);
for (int32_t k = 0; k != 3; ++k) {
EXPECT_EQ(t[k], (i + k));
}
}
}
TEST(RecyclingVector, Testlimited) {
constexpr int32_t K = 3;
constexpr int32_t N = 10;
RecyclingVector v(K);
for (int32_t i = 0; i != N; ++i) {
std::unique_ptr<float[]> p(new float[3]{i, i + 1, i + 2});
v.PushBack(std::move(p));
}
ASSERT_EQ(v.Size(), N);
for (int32_t i = N - K; i != N; ++i) {
const float *t = v.At(i);
for (int32_t k = 0; k != 3; ++k) {
EXPECT_EQ(t[k], (i + k));
}
}
}
} // namespace knf

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/**
* Copyright 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "gtest/gtest.h"
#include "kaldi-native-fbank/csrc/rfft.h"
namespace knf {
#if 0
>>> import torch
>>> a = torch.tensor([1., -1, 3, 8, 20, 6, 0, 2])
>>> torch.fft.rfft(a)
tensor([ 39.0000+0.0000j, -28.1924-2.2929j, 18.0000+5.0000j, -9.8076+3.7071j,
9.0000+0.0000j])
#endif
TEST(Rfft, TestRfft) {
knf::Rfft fft(8);
for (int32_t i = 0; i != 10; ++i) {
std::vector<float> d = {1, -1, 3, 8, 20, 6, 0, 2};
fft.Compute(d.data());
EXPECT_EQ(d[0], 39);
EXPECT_EQ(d[1], 9);
EXPECT_NEAR(d[2], -28.1924, 1e-3);
EXPECT_NEAR(-d[3], -2.2929, 1e-3);
EXPECT_NEAR(d[4], 18, 1e-3);
EXPECT_NEAR(-d[5], 5, 1e-3);
EXPECT_NEAR(d[6], -9.8076, 1e-3);
EXPECT_NEAR(-d[7], 3.7071, 1e-3);
}
}
} // namespace knf

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add_subdirectory(csrc)
add_subdirectory(tests)

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pybind11_add_module(_kaldi_native_fbank
feature-fbank.cc
feature-window.cc
kaldi-native-fbank.cc
mel-computations.cc
online-feature.cc
utils.cc
)
if(APPLE)
execute_process(
COMMAND "${PYTHON_EXECUTABLE}" -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())"
OUTPUT_STRIP_TRAILING_WHITESPACE
OUTPUT_VARIABLE PYTHON_SITE_PACKAGE_DIR
)
message(STATUS "PYTHON_SITE_PACKAGE_DIR: ${PYTHON_SITE_PACKAGE_DIR}")
target_link_libraries(_kaldi_native_fbank PRIVATE "-Wl,-rpath,${PYTHON_SITE_PACKAGE_DIR}")
endif()
if(NOT WIN32)
target_link_libraries(_kaldi_native_fbank PRIVATE "-Wl,-rpath,${kaldi_native_fbank_rpath_origin}/kaldi_native_fbank/lib")
endif()
target_link_libraries(_kaldi_native_fbank PRIVATE kaldi-native-fbank-core)
install(TARGETS _kaldi_native_fbank
DESTINATION ../
)

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/feature-fbank.h"
#include <memory>
#include <string>
#include "kaldi-native-fbank/csrc/feature-fbank.h"
#include "kaldi-native-fbank/python/csrc/utils.h"
namespace knf {
static void PybindFbankOptions(py::module &m) { // NOLINT
using PyClass = FbankOptions;
py::class_<PyClass>(m, "FbankOptions")
.def(py::init<>())
.def_readwrite("frame_opts", &PyClass::frame_opts)
.def_readwrite("mel_opts", &PyClass::mel_opts)
.def_readwrite("use_energy", &PyClass::use_energy)
.def_readwrite("energy_floor", &PyClass::energy_floor)
.def_readwrite("raw_energy", &PyClass::raw_energy)
.def_readwrite("htk_compat", &PyClass::htk_compat)
.def_readwrite("use_log_fbank", &PyClass::use_log_fbank)
.def_readwrite("use_power", &PyClass::use_power)
.def("__str__",
[](const PyClass &self) -> std::string { return self.ToString(); })
.def("as_dict",
[](const PyClass &self) -> py::dict { return AsDict(self); })
.def_static(
"from_dict",
[](py::dict dict) -> PyClass { return FbankOptionsFromDict(dict); })
.def(py::pickle(
[](const PyClass &self) -> py::dict { return AsDict(self); },
[](py::dict dict) -> PyClass { return FbankOptionsFromDict(dict); }));
}
void PybindFeatureFbank(py::module &m) { // NOLINT
PybindFbankOptions(m);
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_FBANK_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_FBANK_H_
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
namespace knf {
void PybindFeatureFbank(py::module &m); // NOLINT
} // namespace knf
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_FBANK_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/feature-window.h"
#include <string>
#include "kaldi-native-fbank/csrc/feature-window.h"
#include "kaldi-native-fbank/python/csrc/utils.h"
namespace knf {
static void PybindFrameExtractionOptions(py::module &m) { // NOLINT
using PyClass = FrameExtractionOptions;
py::class_<PyClass>(m, "FrameExtractionOptions")
.def(py::init<>())
.def_readwrite("samp_freq", &PyClass::samp_freq)
.def_readwrite("frame_shift_ms", &PyClass::frame_shift_ms)
.def_readwrite("frame_length_ms", &PyClass::frame_length_ms)
.def_readwrite("dither", &PyClass::dither)
.def_readwrite("preemph_coeff", &PyClass::preemph_coeff)
.def_readwrite("remove_dc_offset", &PyClass::remove_dc_offset)
.def_readwrite("window_type", &PyClass::window_type)
.def_readwrite("round_to_power_of_two", &PyClass::round_to_power_of_two)
.def_readwrite("blackman_coeff", &PyClass::blackman_coeff)
.def_readwrite("snip_edges", &PyClass::snip_edges)
.def_readwrite("max_feature_vectors", &PyClass::max_feature_vectors)
.def("as_dict",
[](const PyClass &self) -> py::dict { return AsDict(self); })
.def_static("from_dict",
[](py::dict dict) -> PyClass {
return FrameExtractionOptionsFromDict(dict);
})
#if 0
.def_readwrite("allow_downsample",
&PyClass::allow_downsample)
.def_readwrite("allow_upsample", &PyClass::allow_upsample)
#endif
.def("__str__",
[](const PyClass &self) -> std::string { return self.ToString(); })
.def(py::pickle(
[](const PyClass &self) -> py::dict { return AsDict(self); },
[](py::dict dict) -> PyClass {
return FrameExtractionOptionsFromDict(dict);
}));
}
void PybindFeatureWindow(py::module &m) { // NOLINT
PybindFrameExtractionOptions(m);
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_WINDOW_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_WINDOW_H_
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
namespace knf {
void PybindFeatureWindow(py::module &m); // NOLINT
} // namespace knf
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_FEATURE_WINDOW_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
#include "kaldi-native-fbank/python/csrc/feature-fbank.h"
#include "kaldi-native-fbank/python/csrc/feature-window.h"
#include "kaldi-native-fbank/python/csrc/mel-computations.h"
#include "kaldi-native-fbank/python/csrc/online-feature.h"
namespace knf {
PYBIND11_MODULE(_kaldi_native_fbank, m) {
m.doc() = "Python wrapper for kaldi native fbank";
PybindFeatureWindow(m);
PybindMelComputations(m);
PybindFeatureFbank(m);
PybindOnlineFeature(m);
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_KALDI_NATIVE_FBANK_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_KALDI_NATIVE_FBANK_H_
#include "pybind11/numpy.h"
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
namespace py = pybind11;
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_KALDI_NATIVE_FBANK_H_

58
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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/mel-computations.h"
#include <string>
#include "kaldi-native-fbank/csrc/mel-computations.h"
#include "kaldi-native-fbank/python/csrc/utils.h"
namespace knf {
static void PybindMelBanksOptions(py::module &m) { // NOLINT
using PyClass = MelBanksOptions;
py::class_<PyClass>(m, "MelBanksOptions")
.def(py::init<>())
.def_readwrite("num_bins", &PyClass::num_bins)
.def_readwrite("low_freq", &PyClass::low_freq)
.def_readwrite("high_freq", &PyClass::high_freq)
.def_readwrite("vtln_low", &PyClass::vtln_low)
.def_readwrite("vtln_high", &PyClass::vtln_high)
.def_readwrite("debug_mel", &PyClass::debug_mel)
.def_readwrite("htk_mode", &PyClass::htk_mode)
.def("__str__",
[](const PyClass &self) -> std::string { return self.ToString(); })
.def("as_dict",
[](const PyClass &self) -> py::dict { return AsDict(self); })
.def_static("from_dict",
[](py::dict dict) -> PyClass {
return MelBanksOptionsFromDict(dict);
})
.def(py::pickle(
[](const PyClass &self) -> py::dict { return AsDict(self); },
[](py::dict dict) -> PyClass {
return MelBanksOptionsFromDict(dict);
}));
}
void PybindMelComputations(py::module &m) { // NOLINT
PybindMelBanksOptions(m);
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_MEL_COMPUTATIONS_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_MEL_COMPUTATIONS_H_
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
namespace knf {
void PybindMelComputations(py::module &m); // NOLINT
} // namespace knf
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_MEL_COMPUTATIONS_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/online-feature.h"
#include <string>
#include <vector>
#include "kaldi-native-fbank/csrc/online-feature.h"
namespace knf {
template <typename C>
void PybindOnlineFeatureTpl(py::module &m, // NOLINT
const std::string &class_name,
const std::string &class_help_doc = "") {
using PyClass = OnlineGenericBaseFeature<C>;
using Options = typename C::Options;
py::class_<PyClass>(m, class_name.c_str(), class_help_doc.c_str())
.def(py::init<const Options &>(), py::arg("opts"))
.def_property_readonly("dim", &PyClass::Dim)
.def_property_readonly("frame_shift_in_seconds",
&PyClass::FrameShiftInSeconds)
.def_property_readonly("num_frames_ready", &PyClass::NumFramesReady)
.def("is_last_frame", &PyClass::IsLastFrame, py::arg("frame"))
.def(
"get_frame",
[](py::object obj, int32_t frame) {
auto *self = obj.cast<PyClass *>();
const float *f = self->GetFrame(frame);
return py::array_t<float>({self->Dim()}, // shape
{sizeof(float)}, // stride in bytes
f, // ptr
obj); // it will increase the reference
// count of **this** vector
},
py::arg("frame"))
.def(
"accept_waveform",
[](PyClass &self, float sampling_rate,
const std::vector<float> &waveform) {
self.AcceptWaveform(sampling_rate, waveform.data(),
waveform.size());
},
py::arg("sampling_rate"), py::arg("waveform"),
py::call_guard<py::gil_scoped_release>())
.def("input_finished", &PyClass::InputFinished);
}
void PybindOnlineFeature(py::module &m) { // NOLINT
PybindOnlineFeatureTpl<FbankComputer>(m, "OnlineFbank");
}
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_ONLINE_FEATURE_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_ONLINE_FEATURE_H_
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
namespace knf {
void PybindOnlineFeature(py::module &m); // NOLINT
} // namespace knf
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_ONLINE_FEATURE_H_

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#include "kaldi-native-fbank/python/csrc/utils.h"
#include <string>
#include "kaldi-native-fbank/csrc/feature-window.h"
#define FROM_DICT(type, key) \
if (dict.contains(#key)) { \
opts.key = py::type(dict[#key]); \
}
#define AS_DICT(key) dict[#key] = opts.key
namespace knf {
FrameExtractionOptions FrameExtractionOptionsFromDict(py::dict dict) {
FrameExtractionOptions opts;
FROM_DICT(float_, samp_freq);
FROM_DICT(float_, frame_shift_ms);
FROM_DICT(float_, frame_length_ms);
FROM_DICT(float_, dither);
FROM_DICT(float_, preemph_coeff);
FROM_DICT(bool_, remove_dc_offset);
FROM_DICT(str, window_type);
FROM_DICT(bool_, round_to_power_of_two);
FROM_DICT(float_, blackman_coeff);
FROM_DICT(bool_, snip_edges);
FROM_DICT(int_, max_feature_vectors);
return opts;
}
py::dict AsDict(const FrameExtractionOptions &opts) {
py::dict dict;
AS_DICT(samp_freq);
AS_DICT(frame_shift_ms);
AS_DICT(frame_length_ms);
AS_DICT(dither);
AS_DICT(preemph_coeff);
AS_DICT(remove_dc_offset);
AS_DICT(window_type);
AS_DICT(round_to_power_of_two);
AS_DICT(blackman_coeff);
AS_DICT(snip_edges);
AS_DICT(max_feature_vectors);
return dict;
}
MelBanksOptions MelBanksOptionsFromDict(py::dict dict) {
MelBanksOptions opts;
FROM_DICT(int_, num_bins);
FROM_DICT(float_, low_freq);
FROM_DICT(float_, high_freq);
FROM_DICT(float_, vtln_low);
FROM_DICT(float_, vtln_high);
FROM_DICT(bool_, debug_mel);
FROM_DICT(bool_, htk_mode);
return opts;
}
py::dict AsDict(const MelBanksOptions &opts) {
py::dict dict;
AS_DICT(num_bins);
AS_DICT(low_freq);
AS_DICT(high_freq);
AS_DICT(vtln_low);
AS_DICT(vtln_high);
AS_DICT(debug_mel);
AS_DICT(htk_mode);
return dict;
}
FbankOptions FbankOptionsFromDict(py::dict dict) {
FbankOptions opts;
if (dict.contains("frame_opts")) {
opts.frame_opts = FrameExtractionOptionsFromDict(dict["frame_opts"]);
}
if (dict.contains("mel_opts")) {
opts.mel_opts = MelBanksOptionsFromDict(dict["mel_opts"]);
}
FROM_DICT(bool_, use_energy);
FROM_DICT(float_, energy_floor);
FROM_DICT(bool_, raw_energy);
FROM_DICT(bool_, htk_compat);
FROM_DICT(bool_, use_log_fbank);
FROM_DICT(bool_, use_power);
return opts;
}
py::dict AsDict(const FbankOptions &opts) {
py::dict dict;
dict["frame_opts"] = AsDict(opts.frame_opts);
dict["mel_opts"] = AsDict(opts.mel_opts);
AS_DICT(use_energy);
AS_DICT(energy_floor);
AS_DICT(raw_energy);
AS_DICT(htk_compat);
AS_DICT(use_log_fbank);
AS_DICT(use_power);
return dict;
}
#undef FROM_DICT
#undef AS_DICT
} // namespace knf

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* 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 specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_PYTHON_CSRC_UTILS_H_
#define KALDI_NATIVE_FBANK_PYTHON_CSRC_UTILS_H_
#include "kaldi-native-fbank/csrc/feature-fbank.h"
#include "kaldi-native-fbank/csrc/feature-window.h"
#include "kaldi-native-fbank/csrc/mel-computations.h"
#include "kaldi-native-fbank/python/csrc/kaldi-native-fbank.h"
/*
* This file contains code about `from_dict` and
* `as_dict` for various options in kaldi-native-fbank.
*
* Regarding `from_dict`, users don't need to provide
* all the fields in the options. If some fields
* are not provided, it just uses the default one.
*
* If the provided dict in `from_dict` is empty,
* all fields use their default values.
*/
namespace knf {
FrameExtractionOptions FrameExtractionOptionsFromDict(py::dict dict);
py::dict AsDict(const FrameExtractionOptions &opts);
MelBanksOptions MelBanksOptionsFromDict(py::dict dict);
py::dict AsDict(const MelBanksOptions &opts);
FbankOptions FbankOptionsFromDict(py::dict dict);
py::dict AsDict(const FbankOptions &opts);
} // namespace knf
#endif // KALDI_NATIVE_FBANK_PYTHON_CSRC_UTILS_H_

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from _kaldi_native_fbank import (
FrameExtractionOptions,
MelBanksOptions,
OnlineFbank,
FbankOptions,
)

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function(kaldi_native_fbank_add_py_test source)
get_filename_component(name ${source} NAME_WE)
set(name "${name}_py")
message(STATUS "source: ${source}")
add_test(NAME ${name}
COMMAND
"${PYTHON_EXECUTABLE}"
"${CMAKE_CURRENT_SOURCE_DIR}/${source}"
)
get_filename_component(kaldi_native_fbank_path ${CMAKE_CURRENT_LIST_DIR} DIRECTORY)
set_property(TEST ${name}
PROPERTY ENVIRONMENT "PYTHONPATH=${kaldi_native_fbank_path}:$<TARGET_FILE_DIR:_kaldi_native_fbank>:$ENV{PYTHONPATH}"
)
endfunction()
# please sort the files in alphabetic order
set(py_test_files
test_frame_extraction_options.py
test_mel_bank_options.py
test_fbank_options.py
)
if(KALDI_NATIVE_FBANK_BUILD_TESTS)
foreach(source IN LISTS py_test_files)
kaldi_native_fbank_add_py_test(${source})
endforeach()
endif()

198
funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/python/tests/test_fbank_options.py Executable file
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@ -0,0 +1,198 @@
#!/usr/bin/env python3
#
# Copyright (c) 2021 Xiaomi Corporation (authors: Fangjun Kuang)
import pickle
import kaldi_native_fbank as knf
def test_default():
opts = knf.FbankOptions()
assert opts.frame_opts.samp_freq == 16000
assert opts.frame_opts.frame_shift_ms == 10.0
assert opts.frame_opts.frame_length_ms == 25.0
assert opts.frame_opts.dither == 1.0
assert abs(opts.frame_opts.preemph_coeff - 0.97) < 1e-6
assert opts.frame_opts.remove_dc_offset is True
assert opts.frame_opts.window_type == "povey"
assert opts.frame_opts.round_to_power_of_two is True
assert abs(opts.frame_opts.blackman_coeff - 0.42) < 1e-6
assert opts.frame_opts.snip_edges is True
assert opts.mel_opts.num_bins == 23
assert opts.mel_opts.low_freq == 20
assert opts.mel_opts.high_freq == 0
assert opts.mel_opts.vtln_low == 100
assert opts.mel_opts.vtln_high == -500
assert opts.mel_opts.debug_mel is False
assert opts.mel_opts.htk_mode is False
assert opts.use_energy is False
assert opts.energy_floor == 0.0
assert opts.raw_energy is True
assert opts.htk_compat is False
assert opts.use_log_fbank is True
assert opts.use_power is True
def test_set_get():
opts = knf.FbankOptions()
opts.use_energy = True
assert opts.use_energy is True
opts.energy_floor = 1
assert opts.energy_floor == 1
opts.raw_energy = False
assert opts.raw_energy is False
opts.htk_compat = True
assert opts.htk_compat is True
opts.use_log_fbank = False
assert opts.use_log_fbank is False
opts.use_power = False
assert opts.use_power is False
def test_set_get_frame_opts():
opts = knf.FbankOptions()
opts.frame_opts.samp_freq = 44100
assert opts.frame_opts.samp_freq == 44100
opts.frame_opts.frame_shift_ms = 20.5
assert opts.frame_opts.frame_shift_ms == 20.5
opts.frame_opts.frame_length_ms = 1
assert opts.frame_opts.frame_length_ms == 1
opts.frame_opts.dither = 0.5
assert opts.frame_opts.dither == 0.5
opts.frame_opts.preemph_coeff = 0.25
assert opts.frame_opts.preemph_coeff == 0.25
opts.frame_opts.remove_dc_offset = False
assert opts.frame_opts.remove_dc_offset is False
opts.frame_opts.window_type = "hanning"
assert opts.frame_opts.window_type == "hanning"
opts.frame_opts.round_to_power_of_two = False
assert opts.frame_opts.round_to_power_of_two is False
opts.frame_opts.blackman_coeff = 0.25
assert opts.frame_opts.blackman_coeff == 0.25
opts.frame_opts.snip_edges = False
assert opts.frame_opts.snip_edges is False
def test_set_get_mel_opts():
opts = knf.FbankOptions()
opts.mel_opts.num_bins = 100
assert opts.mel_opts.num_bins == 100
opts.mel_opts.low_freq = 22
assert opts.mel_opts.low_freq == 22
opts.mel_opts.high_freq = 1
assert opts.mel_opts.high_freq == 1
opts.mel_opts.vtln_low = 101
assert opts.mel_opts.vtln_low == 101
opts.mel_opts.vtln_high = -100
assert opts.mel_opts.vtln_high == -100
opts.mel_opts.debug_mel = True
assert opts.mel_opts.debug_mel is True
opts.mel_opts.htk_mode = True
assert opts.mel_opts.htk_mode is True
def test_from_empty_dict():
opts = knf.FbankOptions.from_dict({})
opts2 = knf.FbankOptions()
assert str(opts) == str(opts2)
def test_from_dict_partial():
d = {
"energy_floor": 10.5,
"htk_compat": True,
"mel_opts": {"num_bins": 80, "vtln_low": 1},
"frame_opts": {"window_type": "hanning"},
}
opts = knf.FbankOptions.from_dict(d)
assert opts.energy_floor == 10.5
assert opts.htk_compat is True
assert opts.mel_opts.num_bins == 80
assert opts.mel_opts.vtln_low == 1
assert opts.frame_opts.window_type == "hanning"
mel_opts = knf.MelBanksOptions.from_dict(d["mel_opts"])
assert str(opts.mel_opts) == str(mel_opts)
def test_from_dict_full_and_as_dict():
opts = knf.FbankOptions()
opts.htk_compat = True
opts.mel_opts.num_bins = 80
opts.frame_opts.samp_freq = 10
d = opts.as_dict()
assert d["htk_compat"] is True
assert d["mel_opts"]["num_bins"] == 80
assert d["frame_opts"]["samp_freq"] == 10
mel_opts = knf.MelBanksOptions()
mel_opts.num_bins = 80
assert d["mel_opts"] == mel_opts.as_dict()
frame_opts = knf.FrameExtractionOptions()
frame_opts.samp_freq = 10
assert d["frame_opts"] == frame_opts.as_dict()
opts2 = knf.FbankOptions.from_dict(d)
assert str(opts2) == str(opts)
d["htk_compat"] = False
opts3 = knf.FbankOptions.from_dict(d)
assert opts3.htk_compat is False
def test_pickle():
opts = knf.FbankOptions()
opts.use_energy = True
opts.use_power = False
opts.frame_opts.samp_freq = 44100
opts.mel_opts.num_bins = 100
data = pickle.dumps(opts)
opts2 = pickle.loads(data)
assert str(opts) == str(opts2)
def main():
test_default()
test_set_get()
test_set_get_frame_opts()
test_set_get_mel_opts()
test_from_empty_dict()
test_from_dict_partial()
test_from_dict_full_and_as_dict()
test_pickle()
if __name__ == "__main__":
main()

119
funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/python/tests/test_frame_extraction_options.py Executable file
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@ -0,0 +1,119 @@
#!/usr/bin/env python3
#
# Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
import pickle
import kaldi_native_fbank as knf
def test_default():
opts = knf.FrameExtractionOptions()
assert opts.samp_freq == 16000
assert opts.frame_shift_ms == 10.0
assert opts.frame_length_ms == 25.0
assert opts.dither == 1.0
assert abs(opts.preemph_coeff - 0.97) < 1e-6
assert opts.remove_dc_offset is True
assert opts.window_type == "povey"
assert opts.round_to_power_of_two is True
assert abs(opts.blackman_coeff - 0.42) < 1e-6
assert opts.snip_edges is True
def test_set_get():
opts = knf.FrameExtractionOptions()
opts.samp_freq = 44100
assert opts.samp_freq == 44100
opts.frame_shift_ms = 20.5
assert opts.frame_shift_ms == 20.5
opts.frame_length_ms = 1
assert opts.frame_length_ms == 1
opts.dither = 0.5
assert opts.dither == 0.5
opts.preemph_coeff = 0.25
assert opts.preemph_coeff == 0.25
opts.remove_dc_offset = False
assert opts.remove_dc_offset is False
opts.window_type = "hanning"
assert opts.window_type == "hanning"
opts.round_to_power_of_two = False
assert opts.round_to_power_of_two is False
opts.blackman_coeff = 0.25
assert opts.blackman_coeff == 0.25
opts.snip_edges = False
assert opts.snip_edges is False
def test_from_empty_dict():
opts = knf.FrameExtractionOptions.from_dict({})
opts2 = knf.FrameExtractionOptions()
assert str(opts) == str(opts2)
def test_from_dict_partial():
d = {"samp_freq": 10, "frame_shift_ms": 2}
opts = knf.FrameExtractionOptions.from_dict(d)
opts2 = knf.FrameExtractionOptions()
assert str(opts) != str(opts2)
opts2.samp_freq = 10
assert str(opts) != str(opts2)
opts2.frame_shift_ms = 2
assert str(opts) == str(opts2)
opts2.frame_shift_ms = 3
assert str(opts) != str(opts2)
def test_from_dict_full_and_as_dict():
opts = knf.FrameExtractionOptions()
opts.samp_freq = 20
opts.frame_length_ms = 100
d = opts.as_dict()
for key, value in d.items():
assert value == getattr(opts, key)
opts2 = knf.FrameExtractionOptions.from_dict(d)
assert str(opts2) == str(opts)
d["window_type"] = "hanning"
opts3 = knf.FrameExtractionOptions.from_dict(d)
assert opts3.window_type == "hanning"
def test_pickle():
opts = knf.FrameExtractionOptions()
opts.samp_freq = 44100
opts.dither = 5.5
data = pickle.dumps(opts)
opts2 = pickle.loads(data)
assert str(opts) == str(opts2)
def main():
test_default()
test_set_get()
test_from_empty_dict()
test_from_dict_partial()
test_from_dict_full_and_as_dict()
test_pickle()
if __name__ == "__main__":
main()

107
funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/python/tests/test_mel_bank_options.py Executable file
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@ -0,0 +1,107 @@
#!/usr/bin/env python3
#
# Copyright (c) 2021 Xiaomi Corporation (authors: Fangjun Kuang)
import pickle
import kaldi_native_fbank as knf
def test_default():
opts = knf.MelBanksOptions()
assert opts.num_bins == 25
assert opts.low_freq == 20
assert opts.high_freq == 0
assert opts.vtln_low == 100
assert opts.vtln_high == -500
assert opts.debug_mel is False
assert opts.htk_mode is False
def test_set_get():
opts = knf.MelBanksOptions()
opts.num_bins = 100
assert opts.num_bins == 100
opts.low_freq = 22
assert opts.low_freq == 22
opts.high_freq = 1
assert opts.high_freq == 1
opts.vtln_low = 101
assert opts.vtln_low == 101
opts.vtln_high = -100
assert opts.vtln_high == -100
opts.debug_mel = True
assert opts.debug_mel is True
opts.htk_mode = True
assert opts.htk_mode is True
def test_from_empty_dict():
opts = knf.MelBanksOptions.from_dict({})
opts2 = knf.MelBanksOptions()
assert str(opts) == str(opts2)
def test_from_dict_partial():
d = {"num_bins": 10, "debug_mel": True}
opts = knf.MelBanksOptions.from_dict(d)
opts2 = knf.MelBanksOptions()
assert str(opts) != str(opts2)
opts2.num_bins = 10
assert str(opts) != str(opts2)
opts2.debug_mel = True
assert str(opts) == str(opts2)
opts2.debug_mel = False
assert str(opts) != str(opts2)
def test_from_dict_full_and_as_dict():
opts = knf.MelBanksOptions()
opts.num_bins = 80
opts.vtln_high = 2
d = opts.as_dict()
for key, value in d.items():
assert value == getattr(opts, key)
opts2 = knf.MelBanksOptions.from_dict(d)
assert str(opts2) == str(opts)
d["htk_mode"] = True
opts3 = knf.MelBanksOptions.from_dict(d)
assert opts3.htk_mode is True
def test_pickle():
opts = knf.MelBanksOptions()
opts.num_bins = 100
opts.low_freq = 22
data = pickle.dumps(opts)
opts2 = pickle.loads(data)
assert str(opts) == str(opts2)
def main():
test_default()
test_set_get()
test_from_empty_dict()
test_from_dict_partial()
test_from_dict_full_and_as_dict()
test_pickle()
if __name__ == "__main__":
main()

48
funasr/runtime/onnxruntime/kaldi-native-fbank/kaldi-native-fbank/python/tests/test_online_fbank.py Executable file
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@ -0,0 +1,48 @@
#!/usr/bin/env python3
import sys
try:
import kaldifeat
except:
print("Please install kaldifeat first")
sys.exit(0)
import kaldi_native_fbank as knf
import torch
def main():
sampling_rate = 16000
samples = torch.randn(16000 * 10)
opts = kaldifeat.FbankOptions()
opts.frame_opts.dither = 0
opts.mel_opts.num_bins = 80
opts.frame_opts.snip_edges = False
opts.mel_opts.debug_mel = False
online_fbank = kaldifeat.OnlineFbank(opts)
online_fbank.accept_waveform(sampling_rate, samples)
opts = knf.FbankOptions()
opts.frame_opts.dither = 0
opts.mel_opts.num_bins = 80
opts.frame_opts.snip_edges = False
opts.mel_opts.debug_mel = False
fbank = knf.OnlineFbank(opts)
fbank.accept_waveform(sampling_rate, samples.tolist())
assert online_fbank.num_frames_ready == fbank.num_frames_ready
for i in range(fbank.num_frames_ready):
f1 = online_fbank.get_frame(i)
f2 = torch.from_numpy(fbank.get_frame(i))
assert torch.allclose(f1, f2, atol=1e-3), (i, (f1 - f2).abs().max())
if __name__ == "__main__":
torch.manual_seed(20220825)
main()
print("success")

126
funasr/runtime/onnxruntime/kaldi-native-fbank/scripts/check_style_cpplint.sh Executable file
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@ -0,0 +1,126 @@
#!/bin/bash
#
# Copyright 2020 Mobvoi Inc. (authors: Fangjun Kuang)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# 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 specific language governing permissions and
# limitations under the License.
#
# Usage:
#
# (1) To check files of the last commit
# ./scripts/check_style_cpplint.sh
#
# (2) To check changed files not committed yet
# ./scripts/check_style_cpplint.sh 1
#
# (3) To check all files in the project
# ./scripts/check_style_cpplint.sh 2
cpplint_version="1.5.4"
cur_dir=$(cd $(dirname $BASH_SOURCE) && pwd)
kaldi_native_fbank_dir=$(cd $cur_dir/.. && pwd)
build_dir=$kaldi_native_fbank_dir/build
mkdir -p $build_dir
cpplint_src=$build_dir/cpplint-${cpplint_version}/cpplint.py
if [ ! -d "$build_dir/cpplint-${cpplint_version}" ]; then
pushd $build_dir
if command -v wget &> /dev/null; then
wget https://github.com/cpplint/cpplint/archive/${cpplint_version}.tar.gz
elif command -v curl &> /dev/null; then
curl -O -SL https://github.com/cpplint/cpplint/archive/${cpplint_version}.tar.gz
else
echo "Please install wget or curl to download cpplint"
exit 1
fi
tar xf ${cpplint_version}.tar.gz
rm ${cpplint_version}.tar.gz
# cpplint will report the following error for: __host__ __device__ (
#
# Extra space before ( in function call [whitespace/parens] [4]
#
# the following patch disables the above error
sed -i "3490i\ not Search(r'__host__ __device__\\\s+\\\(', fncall) and" $cpplint_src
popd
fi
source $kaldi_native_fbank_dir/scripts/utils.sh
# return true if the given file is a c++ source file
# return false otherwise
function is_source_code_file() {
case "$1" in
*.cc|*.h|*.cu)
echo true;;
*)
echo false;;
esac
}
function check_style() {
python3 $cpplint_src $1 || abort $1
}
function check_last_commit() {
files=$(git diff HEAD^1 --name-only --diff-filter=ACDMRUXB)
echo $files
}
function check_current_dir() {
files=$(git status -s -uno --porcelain | awk '{
if (NF == 4) {
# a file has been renamed
print $NF
} else {
print $2
}}')
echo $files
}
function do_check() {
case "$1" in
1)
echo "Check changed files"
files=$(check_current_dir)
;;
2)
echo "Check all files"
files=$(find $kaldi_native_fbank_dir/kaldi-native-fbank -name "*.h" -o -name "*.cc" -o -name "*.cu")
;;
*)
echo "Check last commit"
files=$(check_last_commit)
;;
esac
for f in $files; do
need_check=$(is_source_code_file $f)
if $need_check; then
[[ -f $f ]] && check_style $f
fi
done
}
function main() {
do_check $1
ok "Great! Style check passed!"
}
cd $kaldi_native_fbank_dir
main $1

19
funasr/runtime/onnxruntime/kaldi-native-fbank/scripts/utils.sh Normal file
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@ -0,0 +1,19 @@
#!/bin/bash
default='\033[0m'
bold='\033[1m'
red='\033[31m'
green='\033[32m'
function ok() {
printf "${bold}${green}[OK]${default} $1\n"
}
function error() {
printf "${bold}${red}[FAILED]${default} $1\n"
}
function abort() {
printf "${bold}${red}[FAILED]${default} $1\n"
exit 1
}

64
funasr/runtime/onnxruntime/kaldi-native-fbank/setup.py Normal file
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@ -0,0 +1,64 @@
#!/usr/bin/env python3
#
# Copyright (c) 2021 Xiaomi Corporation (author: Fangjun Kuang)
import re
import setuptools
from cmake.cmake_extension import BuildExtension, bdist_wheel, cmake_extension
def read_long_description():
with open("README.md", encoding="utf8") as f:
readme = f.read()
return readme
def get_package_version():
with open("CMakeLists.txt") as f:
content = f.read()
match = re.search(r"set\(KALDI_NATIVE_FBANK_VERSION (.*)\)", content)
latest_version = match.group(1).strip('"')
return latest_version
package_name = "kaldi-native-fbank"
with open("kaldi-native-fbank/python/kaldi_native_fbank/__init__.py", "a") as f:
f.write(f"__version__ = '{get_package_version()}'\n")
setuptools.setup(
name=package_name,
version=get_package_version(),
author="Fangjun Kuang",
author_email="csukuangfj@gmail.com",
package_dir={"kaldi_native_fbank": "kaldi-native-fbank/python/kaldi_native_fbank"},
packages=["kaldi_native_fbank"],
url="https://github.com/csukuangfj/kaldi-native-fbank",
long_description=read_long_description(),
long_description_content_type="text/markdown",
ext_modules=[cmake_extension("_kaldi_native_fbank")],
cmdclass={"build_ext": BuildExtension, "bdist_wheel": bdist_wheel},
zip_safe=False,
classifiers=[
"Programming Language :: C++",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.6.0",
license="Apache licensed, as found in the LICENSE file",
)
# remove the line __version__ from kaldi-native-fbank/python/kaldi_native_fbank/__init__.py
with open("kaldi-native-fbank/python/kaldi_native_fbank/__init__.py", "r") as f:
lines = f.readlines()
with open("kaldi-native-fbank/python/kaldi_native_fbank/__init__.py", "w") as f:
for line in lines:
if "__version__" in line:
# skip __version__ = "x.x.x"
continue
f.write(line)

11
funasr/runtime/onnxruntime/kaldi-native-fbank/toolchains/README.md Normal file
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@ -0,0 +1,11 @@
# gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf.tar.xz
Go to <https://developer.arm.com/tools-and-software/open-source-software/developer-tools/gnu-toolchain/gnu-a/downloads/8-3-2019-03> to download the toolchain.
```bash
mkdir /ceph-fj/fangjun/software
cd /ceph-fj/fangjun/software
tar xvf /path/to/gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf.tar.xz
export PATH=/ceph-fj/fangjun/software/gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf/bin:$PATH
```

17
funasr/runtime/onnxruntime/kaldi-native-fbank/toolchains/arm-linux-gnueabihf.toolchain.cmake Normal file
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@ -0,0 +1,17 @@
# Copied from https://github.com/Tencent/ncnn/blob/master/toolchains/arm-linux-gnueabihf.toolchain.cmake
set(CMAKE_SYSTEM_NAME Linux)
set(CMAKE_SYSTEM_PROCESSOR arm)
set(CMAKE_C_COMPILER "arm-linux-gnueabihf-gcc")
set(CMAKE_CXX_COMPILER "arm-linux-gnueabihf-g++")
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
set(CMAKE_C_FLAGS "-march=armv7-a -mfloat-abi=hard -mfpu=neon")
set(CMAKE_CXX_FLAGS "-march=armv7-a -mfloat-abi=hard -mfpu=neon")
# cache flags
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}" CACHE STRING "c flags")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" CACHE STRING "c++ flags")

4
funasr/runtime/onnxruntime/src/CMakeLists.txt
View File

@ -22,7 +22,7 @@ if(WIN32)
target_compile_definitions(funasr PUBLIC -D_FUNASR_API_EXPORT)
else()
set(EXTRA_LIBS fftw3f pthread yaml-cpp)
set(EXTRA_LIBS fftw3f pthread yaml-cpp csrc)
target_include_directories(funasr PUBLIC "/usr/local/opt/fftw/include")
target_link_directories(funasr PUBLIC "/usr/local/opt/fftw/lib")
@ -34,7 +34,7 @@ else()
target_include_directories(funasr PUBLIC ${FFTW3F_INCLUDE_DIR})
target_link_directories(funasr PUBLIC ${FFTW3F_LIBRARY_DIR})
include_directories(${ONNXRUNTIME_DIR}/include)
include_directories(${ONNXRUNTIME_DIR}/include)
endif()
include_directories(${CMAKE_SOURCE_DIR}/include)

396
funasr/runtime/onnxruntime/src/FeatureExtract.cpp
View File

@ -1,396 +0,0 @@
#include "precomp.h"
using namespace std;
FeatureExtract::FeatureExtract(int mode) : mode(mode)
{
}
FeatureExtract::~FeatureExtract()
{
}
void FeatureExtract::reset()
{
speech.reset();
fqueue.reset();
}
int FeatureExtract::size()
{
return fqueue.size();
}
void FeatureExtract::insert(fftwf_plan plan, float *din, int len, int flag)
{
float* fft_input = (float *)fftwf_malloc(sizeof(float) * fft_size);
fftwf_complex* fft_out = (fftwf_complex *)fftwf_malloc(sizeof(fftwf_complex) * fft_size);
memset(fft_input, 0, sizeof(float) * fft_size);
const float *window = (const float *)&window_hex;
if (mode == 3)
window = (const float *)&window_hamm_hex;
speech.load(din, len);
int i, j;
float tmp_feature[80];
if (mode == 0 || mode == 2 || mode == 3) {
int ll = (speech.size() - window_size) / window_shift + 1;
fqueue.reinit(ll);
}
for (i = 0; i <= speech.size() - window_size; i = i + window_shift) {
float tmp_mean = 0;
for (j = 0; j < window_size; j++) {
tmp_mean += speech[i + j];
}
tmp_mean = tmp_mean / window_size;
float pre_val = (float)speech[i] - tmp_mean;
for (j = 0; j < window_size; j++) {
float win = window[j];
float cur_val = (float)speech[i + j] - tmp_mean;
fft_input[j] = win * (cur_val - 0.97 * pre_val);
pre_val = cur_val;
}
fftwf_execute_dft_r2c(plan, fft_input, fft_out);
melspect((float *)fft_out, tmp_feature);
int tmp_flag = S_MIDDLE;
if (flag == S_END && i > speech.size() - 560)
tmp_flag = S_END;
fqueue.push(tmp_feature, tmp_flag);
}
speech.update(i);
fftwf_free(fft_input);
fftwf_free(fft_out);
}
bool FeatureExtract::fetch(Tensor<float> *&dout)
{
if (fqueue.size() < 1) {
return false;
} else {
dout = fqueue.pop();
return true;
}
}
void FeatureExtract::global_cmvn(float *din)
{
const float *std;
const float *mean;
if (mode < 2) {
if (mode == 0) {
std = (const float *)global_cmvn_std_hex;
mean = (const float *)global_cmvn_mean_hex;
} else {
std = (const float *)global_cmvn_std_online_hex;
mean = (const float *)global_cmvn_mean_online_hex;
}
int i;
for (i = 0; i < 80; i++) {
float tmp = din[i] < 1e-7 ? 1e-7 : din[i];
tmp = log(tmp);
din[i] = (tmp - mean[i]) / std[i];
}
} else {
int i;
int val = 0x34000000;
float min_resol = *((float *)&val);
for (i = 0; i < 80; i++) {
float tmp = din[i] < min_resol ? min_resol : din[i];
din[i] = log(tmp);
}
}
}
void FeatureExtract::melspect(float *din, float *dout)
{
float fftmag[256];
const float *melcoe = (const float *)melcoe_hex;
int i;
for (i = 0; i < 256; i++) {
float real = din[2 * i];
float imag = din[2 * i + 1];
fftmag[i] = real * real + imag * imag;
}
dout[0] = melcoe[0] * fftmag[1] + melcoe[1] * fftmag[2];
dout[1] = melcoe[2] * fftmag[2];
dout[2] = melcoe[3] * fftmag[3];
dout[3] = melcoe[4] * fftmag[3] + melcoe[5] * fftmag[4];
dout[4] = melcoe[6] * fftmag[4] + melcoe[7] * fftmag[5];
dout[5] = melcoe[8] * fftmag[5] + melcoe[9] * fftmag[6];
dout[6] = melcoe[10] * fftmag[6] + melcoe[11] * fftmag[7];
dout[7] = melcoe[12] * fftmag[7];
dout[8] = melcoe[13] * fftmag[8];
dout[9] = melcoe[14] * fftmag[8] + melcoe[15] * fftmag[9];
dout[10] = melcoe[16] * fftmag[9] + melcoe[17] * fftmag[10];
dout[11] = melcoe[18] * fftmag[10] + melcoe[19] * fftmag[11];
dout[12] = melcoe[20] * fftmag[11] + melcoe[21] * fftmag[12] +
melcoe[22] * fftmag[13];
dout[13] = melcoe[23] * fftmag[12] + melcoe[24] * fftmag[13] +
melcoe[25] * fftmag[14];
dout[14] = melcoe[26] * fftmag[14] + melcoe[27] * fftmag[15];
dout[15] = melcoe[28] * fftmag[15] + melcoe[29] * fftmag[16];
dout[16] = melcoe[30] * fftmag[16] + melcoe[31] * fftmag[17];
dout[17] = melcoe[32] * fftmag[17] + melcoe[33] * fftmag[18];
dout[18] = melcoe[34] * fftmag[18] + melcoe[35] * fftmag[19] +
melcoe[36] * fftmag[20];
dout[19] = melcoe[37] * fftmag[19] + melcoe[38] * fftmag[20] +
melcoe[39] * fftmag[21];
dout[20] = melcoe[40] * fftmag[21] + melcoe[41] * fftmag[22];
dout[21] = melcoe[42] * fftmag[22] + melcoe[43] * fftmag[23] +
melcoe[44] * fftmag[24];
dout[22] = melcoe[45] * fftmag[23] + melcoe[46] * fftmag[24] +
melcoe[47] * fftmag[25];
dout[23] = melcoe[48] * fftmag[25] + melcoe[49] * fftmag[26] +
melcoe[50] * fftmag[27];
dout[24] = melcoe[51] * fftmag[26] + melcoe[52] * fftmag[27] +
melcoe[53] * fftmag[28];
dout[25] = melcoe[54] * fftmag[28] + melcoe[55] * fftmag[29] +
melcoe[56] * fftmag[30];
dout[26] = melcoe[57] * fftmag[29] + melcoe[58] * fftmag[30] +
melcoe[59] * fftmag[31] + melcoe[60] * fftmag[32];
dout[27] = melcoe[61] * fftmag[31] + melcoe[62] * fftmag[32] +
melcoe[63] * fftmag[33];
dout[28] = melcoe[64] * fftmag[33] + melcoe[65] * fftmag[34] +
melcoe[66] * fftmag[35];
dout[29] = melcoe[67] * fftmag[34] + melcoe[68] * fftmag[35] +
melcoe[69] * fftmag[36] + melcoe[70] * fftmag[37];
dout[30] = melcoe[71] * fftmag[36] + melcoe[72] * fftmag[37] +
melcoe[73] * fftmag[38] + melcoe[74] * fftmag[39];
dout[31] = melcoe[75] * fftmag[38] + melcoe[76] * fftmag[39] +
melcoe[77] * fftmag[40] + melcoe[78] * fftmag[41];
dout[32] = melcoe[79] * fftmag[40] + melcoe[80] * fftmag[41] +
melcoe[81] * fftmag[42] + melcoe[82] * fftmag[43];
dout[33] = melcoe[83] * fftmag[42] + melcoe[84] * fftmag[43] +
melcoe[85] * fftmag[44] + melcoe[86] * fftmag[45];
dout[34] = melcoe[87] * fftmag[44] + melcoe[88] * fftmag[45] +
melcoe[89] * fftmag[46] + melcoe[90] * fftmag[47];
dout[35] = melcoe[91] * fftmag[46] + melcoe[92] * fftmag[47] +
melcoe[93] * fftmag[48] + melcoe[94] * fftmag[49];
dout[36] = melcoe[95] * fftmag[48] + melcoe[96] * fftmag[49] +
melcoe[97] * fftmag[50] + melcoe[98] * fftmag[51];
dout[37] = melcoe[99] * fftmag[50] + melcoe[100] * fftmag[51] +
melcoe[101] * fftmag[52] + melcoe[102] * fftmag[53] +
melcoe[103] * fftmag[54];
dout[38] = melcoe[104] * fftmag[52] + melcoe[105] * fftmag[53] +
melcoe[106] * fftmag[54] + melcoe[107] * fftmag[55] +
melcoe[108] * fftmag[56];
dout[39] = melcoe[109] * fftmag[55] + melcoe[110] * fftmag[56] +
melcoe[111] * fftmag[57] + melcoe[112] * fftmag[58];
dout[40] = melcoe[113] * fftmag[57] + melcoe[114] * fftmag[58] +
melcoe[115] * fftmag[59] + melcoe[116] * fftmag[60] +
melcoe[117] * fftmag[61];
dout[41] = melcoe[118] * fftmag[59] + melcoe[119] * fftmag[60] +
melcoe[120] * fftmag[61] + melcoe[121] * fftmag[62] +
melcoe[122] * fftmag[63] + melcoe[123] * fftmag[64];
dout[42] = melcoe[124] * fftmag[62] + melcoe[125] * fftmag[63] +
melcoe[126] * fftmag[64] + melcoe[127] * fftmag[65] +
melcoe[128] * fftmag[66];
dout[43] = melcoe[129] * fftmag[65] + melcoe[130] * fftmag[66] +
melcoe[131] * fftmag[67] + melcoe[132] * fftmag[68] +
melcoe[133] * fftmag[69];
dout[44] = melcoe[134] * fftmag[67] + melcoe[135] * fftmag[68] +
melcoe[136] * fftmag[69] + melcoe[137] * fftmag[70] +
melcoe[138] * fftmag[71] + melcoe[139] * fftmag[72];
dout[45] = melcoe[140] * fftmag[70] + melcoe[141] * fftmag[71] +
melcoe[142] * fftmag[72] + melcoe[143] * fftmag[73] +
melcoe[144] * fftmag[74] + melcoe[145] * fftmag[75];
dout[46] = melcoe[146] * fftmag[73] + melcoe[147] * fftmag[74] +
melcoe[148] * fftmag[75] + melcoe[149] * fftmag[76] +
melcoe[150] * fftmag[77] + melcoe[151] * fftmag[78];
dout[47] = melcoe[152] * fftmag[76] + melcoe[153] * fftmag[77] +
melcoe[154] * fftmag[78] + melcoe[155] * fftmag[79] +
melcoe[156] * fftmag[80] + melcoe[157] * fftmag[81];
dout[48] = melcoe[158] * fftmag[79] + melcoe[159] * fftmag[80] +
melcoe[160] * fftmag[81] + melcoe[161] * fftmag[82] +
melcoe[162] * fftmag[83] + melcoe[163] * fftmag[84];
dout[49] = melcoe[164] * fftmag[82] + melcoe[165] * fftmag[83] +
melcoe[166] * fftmag[84] + melcoe[167] * fftmag[85] +
melcoe[168] * fftmag[86] + melcoe[169] * fftmag[87] +
melcoe[170] * fftmag[88];
dout[50] = melcoe[171] * fftmag[85] + melcoe[172] * fftmag[86] +
melcoe[173] * fftmag[87] + melcoe[174] * fftmag[88] +
melcoe[175] * fftmag[89] + melcoe[176] * fftmag[90] +
melcoe[177] * fftmag[91];
dout[51] = melcoe[178] * fftmag[89] + melcoe[179] * fftmag[90] +
melcoe[180] * fftmag[91] + melcoe[181] * fftmag[92] +
melcoe[182] * fftmag[93] + melcoe[183] * fftmag[94] +
melcoe[184] * fftmag[95];
dout[52] = melcoe[185] * fftmag[92] + melcoe[186] * fftmag[93] +
melcoe[187] * fftmag[94] + melcoe[188] * fftmag[95] +
melcoe[189] * fftmag[96] + melcoe[190] * fftmag[97] +
melcoe[191] * fftmag[98];
dout[53] = melcoe[192] * fftmag[96] + melcoe[193] * fftmag[97] +
melcoe[194] * fftmag[98] + melcoe[195] * fftmag[99] +
melcoe[196] * fftmag[100] + melcoe[197] * fftmag[101] +
melcoe[198] * fftmag[102];
dout[54] = melcoe[199] * fftmag[99] + melcoe[200] * fftmag[100] +
melcoe[201] * fftmag[101] + melcoe[202] * fftmag[102] +
melcoe[203] * fftmag[103] + melcoe[204] * fftmag[104] +
melcoe[205] * fftmag[105] + melcoe[206] * fftmag[106];
dout[55] = melcoe[207] * fftmag[103] + melcoe[208] * fftmag[104] +
melcoe[209] * fftmag[105] + melcoe[210] * fftmag[106] +
melcoe[211] * fftmag[107] + melcoe[212] * fftmag[108] +
melcoe[213] * fftmag[109] + melcoe[214] * fftmag[110];
dout[56] = melcoe[215] * fftmag[107] + melcoe[216] * fftmag[108] +
melcoe[217] * fftmag[109] + melcoe[218] * fftmag[110] +
melcoe[219] * fftmag[111] + melcoe[220] * fftmag[112] +
melcoe[221] * fftmag[113] + melcoe[222] * fftmag[114];
dout[57] = melcoe[223] * fftmag[111] + melcoe[224] * fftmag[112] +
melcoe[225] * fftmag[113] + melcoe[226] * fftmag[114] +
melcoe[227] * fftmag[115] + melcoe[228] * fftmag[116] +
melcoe[229] * fftmag[117] + melcoe[230] * fftmag[118] +
melcoe[231] * fftmag[119];
dout[58] = melcoe[232] * fftmag[115] + melcoe[233] * fftmag[116] +
melcoe[234] * fftmag[117] + melcoe[235] * fftmag[118] +
melcoe[236] * fftmag[119] + melcoe[237] * fftmag[120] +
melcoe[238] * fftmag[121] + melcoe[239] * fftmag[122] +
melcoe[240] * fftmag[123];
dout[59] = melcoe[241] * fftmag[120] + melcoe[242] * fftmag[121] +
melcoe[243] * fftmag[122] + melcoe[244] * fftmag[123] +
melcoe[245] * fftmag[124] + melcoe[246] * fftmag[125] +
melcoe[247] * fftmag[126] + melcoe[248] * fftmag[127] +
melcoe[249] * fftmag[128];
dout[60] = melcoe[250] * fftmag[124] + melcoe[251] * fftmag[125] +
melcoe[252] * fftmag[126] + melcoe[253] * fftmag[127] +
melcoe[254] * fftmag[128] + melcoe[255] * fftmag[129] +
melcoe[256] * fftmag[130] + melcoe[257] * fftmag[131] +
melcoe[258] * fftmag[132];
dout[61] = melcoe[259] * fftmag[129] + melcoe[260] * fftmag[130] +
melcoe[261] * fftmag[131] + melcoe[262] * fftmag[132] +
melcoe[263] * fftmag[133] + melcoe[264] * fftmag[134] +
melcoe[265] * fftmag[135] + melcoe[266] * fftmag[136] +
melcoe[267] * fftmag[137];
dout[62] = melcoe[268] * fftmag[133] + melcoe[269] * fftmag[134] +
melcoe[270] * fftmag[135] + melcoe[271] * fftmag[136] +
melcoe[272] * fftmag[137] + melcoe[273] * fftmag[138] +
melcoe[274] * fftmag[139] + melcoe[275] * fftmag[140] +
melcoe[276] * fftmag[141] + melcoe[277] * fftmag[142];
dout[63] = melcoe[278] * fftmag[138] + melcoe[279] * fftmag[139] +
melcoe[280] * fftmag[140] + melcoe[281] * fftmag[141] +
melcoe[282] * fftmag[142] + melcoe[283] * fftmag[143] +
melcoe[284] * fftmag[144] + melcoe[285] * fftmag[145] +
melcoe[286] * fftmag[146] + melcoe[287] * fftmag[147];
dout[64] = melcoe[288] * fftmag[143] + melcoe[289] * fftmag[144] +
melcoe[290] * fftmag[145] + melcoe[291] * fftmag[146] +
melcoe[292] * fftmag[147] + melcoe[293] * fftmag[148] +
melcoe[294] * fftmag[149] + melcoe[295] * fftmag[150] +
melcoe[296] * fftmag[151] + melcoe[297] * fftmag[152] +
melcoe[298] * fftmag[153];
dout[65] = melcoe[299] * fftmag[148] + melcoe[300] * fftmag[149] +
melcoe[301] * fftmag[150] + melcoe[302] * fftmag[151] +
melcoe[303] * fftmag[152] + melcoe[304] * fftmag[153] +
melcoe[305] * fftmag[154] + melcoe[306] * fftmag[155] +
melcoe[307] * fftmag[156] + melcoe[308] * fftmag[157] +
melcoe[309] * fftmag[158];
dout[66] = melcoe[310] * fftmag[154] + melcoe[311] * fftmag[155] +
melcoe[312] * fftmag[156] + melcoe[313] * fftmag[157] +
melcoe[314] * fftmag[158] + melcoe[315] * fftmag[159] +
melcoe[316] * fftmag[160] + melcoe[317] * fftmag[161] +
melcoe[318] * fftmag[162] + melcoe[319] * fftmag[163] +
melcoe[320] * fftmag[164];
dout[67] = melcoe[321] * fftmag[159] + melcoe[322] * fftmag[160] +
melcoe[323] * fftmag[161] + melcoe[324] * fftmag[162] +
melcoe[325] * fftmag[163] + melcoe[326] * fftmag[164] +
melcoe[327] * fftmag[165] + melcoe[328] * fftmag[166] +
melcoe[329] * fftmag[167] + melcoe[330] * fftmag[168] +
melcoe[331] * fftmag[169] + melcoe[332] * fftmag[170];
dout[68] = melcoe[333] * fftmag[165] + melcoe[334] * fftmag[166] +
melcoe[335] * fftmag[167] + melcoe[336] * fftmag[168] +
melcoe[337] * fftmag[169] + melcoe[338] * fftmag[170] +
melcoe[339] * fftmag[171] + melcoe[340] * fftmag[172] +
melcoe[341] * fftmag[173] + melcoe[342] * fftmag[174] +
melcoe[343] * fftmag[175] + melcoe[344] * fftmag[176];
dout[69] = melcoe[345] * fftmag[171] + melcoe[346] * fftmag[172] +
melcoe[347] * fftmag[173] + melcoe[348] * fftmag[174] +
melcoe[349] * fftmag[175] + melcoe[350] * fftmag[176] +
melcoe[351] * fftmag[177] + melcoe[352] * fftmag[178] +
melcoe[353] * fftmag[179] + melcoe[354] * fftmag[180] +
melcoe[355] * fftmag[181] + melcoe[356] * fftmag[182];
dout[70] = melcoe[357] * fftmag[177] + melcoe[358] * fftmag[178] +
melcoe[359] * fftmag[179] + melcoe[360] * fftmag[180] +
melcoe[361] * fftmag[181] + melcoe[362] * fftmag[182] +
melcoe[363] * fftmag[183] + melcoe[364] * fftmag[184] +
melcoe[365] * fftmag[185] + melcoe[366] * fftmag[186] +
melcoe[367] * fftmag[187] + melcoe[368] * fftmag[188];
dout[71] = melcoe[369] * fftmag[183] + melcoe[370] * fftmag[184] +
melcoe[371] * fftmag[185] + melcoe[372] * fftmag[186] +
melcoe[373] * fftmag[187] + melcoe[374] * fftmag[188] +
melcoe[375] * fftmag[189] + melcoe[376] * fftmag[190] +
melcoe[377] * fftmag[191] + melcoe[378] * fftmag[192] +
melcoe[379] * fftmag[193] + melcoe[380] * fftmag[194] +
melcoe[381] * fftmag[195];
dout[72] = melcoe[382] * fftmag[189] + melcoe[383] * fftmag[190] +
melcoe[384] * fftmag[191] + melcoe[385] * fftmag[192] +
melcoe[386] * fftmag[193] + melcoe[387] * fftmag[194] +
melcoe[388] * fftmag[195] + melcoe[389] * fftmag[196] +
melcoe[390] * fftmag[197] + melcoe[391] * fftmag[198] +
melcoe[392] * fftmag[199] + melcoe[393] * fftmag[200] +
melcoe[394] * fftmag[201] + melcoe[395] * fftmag[202];
dout[73] = melcoe[396] * fftmag[196] + melcoe[397] * fftmag[197] +
melcoe[398] * fftmag[198] + melcoe[399] * fftmag[199] +
melcoe[400] * fftmag[200] + melcoe[401] * fftmag[201] +
melcoe[402] * fftmag[202] + melcoe[403] * fftmag[203] +
melcoe[404] * fftmag[204] + melcoe[405] * fftmag[205] +
melcoe[406] * fftmag[206] + melcoe[407] * fftmag[207] +
melcoe[408] * fftmag[208] + melcoe[409] * fftmag[209];
dout[74] = melcoe[410] * fftmag[203] + melcoe[411] * fftmag[204] +
melcoe[412] * fftmag[205] + melcoe[413] * fftmag[206] +
melcoe[414] * fftmag[207] + melcoe[415] * fftmag[208] +
melcoe[416] * fftmag[209] + melcoe[417] * fftmag[210] +
melcoe[418] * fftmag[211] + melcoe[419] * fftmag[212] +
melcoe[420] * fftmag[213] + melcoe[421] * fftmag[214] +
melcoe[422] * fftmag[215] + melcoe[423] * fftmag[216];
dout[75] = melcoe[424] * fftmag[210] + melcoe[425] * fftmag[211] +
melcoe[426] * fftmag[212] + melcoe[427] * fftmag[213] +
melcoe[428] * fftmag[214] + melcoe[429] * fftmag[215] +
melcoe[430] * fftmag[216] + melcoe[431] * fftmag[217] +
melcoe[432] * fftmag[218] + melcoe[433] * fftmag[219] +
melcoe[434] * fftmag[220] + melcoe[435] * fftmag[221] +
melcoe[436] * fftmag[222] + melcoe[437] * fftmag[223];
dout[76] = melcoe[438] * fftmag[217] + melcoe[439] * fftmag[218] +
melcoe[440] * fftmag[219] + melcoe[441] * fftmag[220] +
melcoe[442] * fftmag[221] + melcoe[443] * fftmag[222] +
melcoe[444] * fftmag[223] + melcoe[445] * fftmag[224] +
melcoe[446] * fftmag[225] + melcoe[447] * fftmag[226] +
melcoe[448] * fftmag[227] + melcoe[449] * fftmag[228] +
melcoe[450] * fftmag[229] + melcoe[451] * fftmag[230] +
melcoe[452] * fftmag[231];
dout[77] = melcoe[453] * fftmag[224] + melcoe[454] * fftmag[225] +
melcoe[455] * fftmag[226] + melcoe[456] * fftmag[227] +
melcoe[457] * fftmag[228] + melcoe[458] * fftmag[229] +
melcoe[459] * fftmag[230] + melcoe[460] * fftmag[231] +
melcoe[461] * fftmag[232] + melcoe[462] * fftmag[233] +
melcoe[463] * fftmag[234] + melcoe[464] * fftmag[235] +
melcoe[465] * fftmag[236] + melcoe[466] * fftmag[237] +
melcoe[467] * fftmag[238] + melcoe[468] * fftmag[239];
dout[78] = melcoe[469] * fftmag[232] + melcoe[470] * fftmag[233] +
melcoe[471] * fftmag[234] + melcoe[472] * fftmag[235] +
melcoe[473] * fftmag[236] + melcoe[474] * fftmag[237] +
melcoe[475] * fftmag[238] + melcoe[476] * fftmag[239] +
melcoe[477] * fftmag[240] + melcoe[478] * fftmag[241] +
melcoe[479] * fftmag[242] + melcoe[480] * fftmag[243] +
melcoe[481] * fftmag[244] + melcoe[482] * fftmag[245] +
melcoe[483] * fftmag[246] + melcoe[484] * fftmag[247];
dout[79] = melcoe[485] * fftmag[240] + melcoe[486] * fftmag[241] +
melcoe[487] * fftmag[242] + melcoe[488] * fftmag[243] +
melcoe[489] * fftmag[244] + melcoe[490] * fftmag[245] +
melcoe[491] * fftmag[246] + melcoe[492] * fftmag[247] +
melcoe[493] * fftmag[248] + melcoe[494] * fftmag[249] +
melcoe[495] * fftmag[250] + melcoe[496] * fftmag[251] +
melcoe[497] * fftmag[252] + melcoe[498] * fftmag[253] +
melcoe[499] * fftmag[254] + melcoe[500] * fftmag[255];
global_cmvn(dout);
}

35
funasr/runtime/onnxruntime/src/FeatureExtract.h
View File

@ -1,35 +0,0 @@
#ifndef FEATUREEXTRACT_H
#define FEATUREEXTRACT_H
#include <fftw3.h>
#include <stdint.h>
#include "FeatureQueue.h"
#include "SpeechWrap.h"
#include "Tensor.h"
class FeatureExtract {
private:
SpeechWrap speech;
FeatureQueue fqueue;
int mode;
int fft_size = 512;
int window_size = 400;
int window_shift = 160;
//void fftw_init();
void melspect(float *din, float *dout);
void global_cmvn(float *din);
public:
FeatureExtract(int mode);
~FeatureExtract();
int size();
//int status();
void reset();
void insert(fftwf_plan plan, float *din, int len, int flag);
bool fetch(Tensor<float> *&dout);
};
#endif

1
funasr/runtime/onnxruntime/src/libfunasrapi.cpp
View File

@ -122,7 +122,6 @@ extern "C" {
FUNASR_RECOG_RESULT* pResult = new FUNASR_RECOG_RESULT;
pResult->snippet_time = audio.get_time_len();
while (audio.fetch(buff, len, flag) > 0) {
//pRecogObj->reset();
string msg = pRecogObj->forward(buff, len, flag);
pResult->msg+= msg;
nStep++;

223
funasr/runtime/onnxruntime/src/paraformer_onnx.cpp
View File

@ -18,10 +18,16 @@ ModelImp::ModelImp(const char* path,int nNumThread, bool quantize)
cmvn_path = pathAppend(path, "am.mvn");
config_path = pathAppend(path, "config.yaml");
fft_input = (float *)fftwf_malloc(sizeof(float) * fft_size);
fft_out = (fftwf_complex *)fftwf_malloc(sizeof(fftwf_complex) * fft_size);
memset(fft_input, 0, sizeof(float) * fft_size);
plan = fftwf_plan_dft_r2c_1d(fft_size, fft_input, fft_out, FFTW_ESTIMATE);
// knf options
fbank_opts.frame_opts.dither = 0;
fbank_opts.mel_opts.num_bins = 80;
fbank_opts.frame_opts.samp_freq = model_sample_rate;
fbank_opts.frame_opts.window_type = "hamming";
fbank_opts.frame_opts.frame_shift_ms = 10;
fbank_opts.frame_opts.frame_length_ms = 25;
fbank_opts.energy_floor = 0;
fbank_opts.mel_opts.debug_mel = false;
//fbank_ = std::make_unique<knf::OnlineFbank>(fbank_opts);
//sessionOptions.SetInterOpNumThreads(1);
sessionOptions.SetIntraOpNumThreads(nNumThread);
@ -57,38 +63,28 @@ ModelImp::~ModelImp()
{
if(vocab)
delete vocab;
fftwf_free(fft_input);
fftwf_free(fft_out);
fftwf_destroy_plan(plan);
fftwf_cleanup();
}
void ModelImp::reset()
{
}
void ModelImp::apply_lfr(Tensor<float>*& din)
{
int mm = din->size[2];
int ll = ceil(mm / 6.0);
Tensor<float>* tmp = new Tensor<float>(ll, 560);
int out_offset = 0;
for (int i = 0; i < ll; i++) {
for (int j = 0; j < 7; j++) {
int idx = i * 6 + j - 3;
if (idx < 0) {
idx = 0;
}
if (idx >= mm) {
idx = mm - 1;
}
memcpy(tmp->buff + out_offset, din->buff + idx * 80,
sizeof(float) * 80);
out_offset += 80;
}
vector<float> ModelImp::FbankKaldi(float sample_rate, const float* waves, int len) {
knf::OnlineFbank fbank_(fbank_opts);
fbank_.AcceptWaveform(sample_rate, waves, len);
//fbank_->InputFinished();
int32_t frames = fbank_.NumFramesReady();
int32_t feature_dim = fbank_opts.mel_opts.num_bins;
vector<float> features(frames * feature_dim);
float *p = features.data();
for (int32_t i = 0; i != frames; ++i) {
const float *f = fbank_.GetFrame(i);
std::copy(f, f + feature_dim, p);
p += feature_dim;
}
delete din;
din = tmp;
return features;
}
void ModelImp::load_cmvn(const char *filename)
@ -124,24 +120,6 @@ void ModelImp::load_cmvn(const char *filename)
}
}
void ModelImp::apply_cmvn(Tensor<float>* din)
{
const float* var;
const float* mean;
var = vars_list.data();
mean= means_list.data();
int m = din->size[2];
int n = din->size[3];
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
int idx = i * n + j;
din->buff[idx] = (din->buff[idx] + mean[j]) * var[j];
}
}
}
string ModelImp::greedy_search(float * in, int nLen )
{
vector<int> hyps;
@ -156,16 +134,115 @@ string ModelImp::greedy_search(float * in, int nLen )
return vocab->vector2stringV2(hyps);
}
vector<float> ModelImp::ApplyLFR(const std::vector<float> &in)
{
int32_t in_feat_dim = fbank_opts.mel_opts.num_bins;
int32_t in_num_frames = in.size() / in_feat_dim;
int32_t out_num_frames =
(in_num_frames - lfr_window_size) / lfr_window_shift + 1;
int32_t out_feat_dim = in_feat_dim * lfr_window_size;
std::vector<float> out(out_num_frames * out_feat_dim);
const float *p_in = in.data();
float *p_out = out.data();
for (int32_t i = 0; i != out_num_frames; ++i) {
std::copy(p_in, p_in + out_feat_dim, p_out);
p_out += out_feat_dim;
p_in += lfr_window_shift * in_feat_dim;
}
return out;
}
void ModelImp::ApplyCMVN(std::vector<float> *v)
{
int32_t dim = means_list.size();
int32_t num_frames = v->size() / dim;
float *p = v->data();
for (int32_t i = 0; i != num_frames; ++i) {
for (int32_t k = 0; k != dim; ++k) {
p[k] = (p[k] + means_list[k]) * vars_list[k];
}
p += dim;
}
}
// void ParaformerOnnxAsrModel::ForwardFunc(
// const std::vector<std::vector<float>>& chunk_feats,
// std::vector<std::vector<float>>* out_prob) {
// Ort::MemoryInfo memory_info =
// Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU);
// // 1. Prepare onnx required data, splice cached_feature_ and chunk_feats
// // chunk
// // int num_frames = cached_feature_.size() + chunk_feats.size();
// int num_frames = chunk_feats.size();
// const int feature_dim = chunk_feats[0].size();
// // 2. Generate 2 input nodes tensor
// // speech node { batch,frame number,feature dim }
// const int64_t paraformer_feats_shape[3] = {1, num_frames, feature_dim};
// std::vector<float> paraformer_feats;
// for (const auto & chunk_feat : chunk_feats) {
// paraformer_feats.insert(paraformer_feats.end(), chunk_feat.begin(), chunk_feat.end());
// }
// Ort::Value paraformer_feats_ort = Ort::Value::CreateTensor<float>(
// memory_info, paraformer_feats.data(), paraformer_feats.size(), paraformer_feats_shape, 3);
// // speech_lengths node {speech length,}
// const int64_t paraformer_length_shape[1] = {1};
// std::vector<int32_t> paraformer_length;
// paraformer_length.emplace_back(num_frames);
// Ort::Value paraformer_length_ort = Ort::Value::CreateTensor<int32_t>(
// memory_info, paraformer_length.data(), paraformer_length.size(), paraformer_length_shape, 1);
// // 3. Put nodes into onnx input vector
// std::vector<Ort::Value> paraformer_inputs;
// paraformer_inputs.emplace_back(std::move(paraformer_feats_ort));
// paraformer_inputs.emplace_back(std::move(paraformer_length_ort));
// // 4. Onnx infer
// std::vector<Ort::Value> paraformer_ort_outputs;
// try{
// VLOG(3) << "Start infer";
// paraformer_ort_outputs = paraformer_session_->Run(
// Ort::RunOptions{nullptr}, paraformer_in_names_.data(), paraformer_inputs.data(),
// paraformer_inputs.size(), paraformer_out_names_.data(), paraformer_out_names_.size());
// }catch (std::exception const& e) {
// // Catch "Non-zero status code returned error",usually because there is no asr result.
// // Need funasr to resolve.
// LOG(ERROR) << e.what();
// return;
// }
// // 5. Change infer result to output shapes
// float* logp_data = paraformer_ort_outputs[0].GetTensorMutableData<float>();
// auto type_info = paraformer_ort_outputs[0].GetTensorTypeAndShapeInfo();
// int num_outputs = type_info.GetShape()[1];
// int output_dim = type_info.GetShape()[2];
// out_prob->resize(num_outputs);
// for (int i = 0; i < num_outputs; i++) {
// (*out_prob)[i].resize(output_dim);
// memcpy((*out_prob)[i].data(), logp_data + i * output_dim,
// sizeof(float) * output_dim);
// }
// }
string ModelImp::forward(float* din, int len, int flag)
{
Tensor<float>* in;
FeatureExtract* fe = new FeatureExtract(3);
fe->reset();
fe->insert(plan, din, len, flag);
fe->fetch(in);
apply_lfr(in);
apply_cmvn(in);
Ort::RunOptions run_option;
int32_t in_feat_dim = fbank_opts.mel_opts.num_bins;
std::vector<float> wav_feats = FbankKaldi(model_sample_rate, din, len);
wav_feats = ApplyLFR(wav_feats);
ApplyCMVN(&wav_feats);
int32_t feat_dim = lfr_window_size*in_feat_dim;
int32_t num_frames = wav_feats.size() / feat_dim;
#ifdef _WIN_X86
Ort::MemoryInfo m_memoryInfo = Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU);
@ -173,29 +250,26 @@ string ModelImp::forward(float* din, int len, int flag)
Ort::MemoryInfo m_memoryInfo = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
#endif
std::array<int64_t, 3> input_shape_{ in->size[0],in->size[2],in->size[3] };
const int64_t input_shape_[3] = {1, num_frames, feat_dim};
Ort::Value onnx_feats = Ort::Value::CreateTensor<float>(m_memoryInfo,
in->buff,
in->buff_size,
input_shape_.data(),
input_shape_.size());
wav_feats.data(),
wav_feats.size(),
input_shape_,
3);
std::vector<int32_t> feats_len{ in->size[2] };
std::vector<int64_t> feats_len_dim{ 1 };
Ort::Value onnx_feats_len = Ort::Value::CreateTensor(
m_memoryInfo,
feats_len.data(),
feats_len.size() * sizeof(int32_t),
feats_len_dim.data(),
feats_len_dim.size(), ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32);
const int64_t paraformer_length_shape[1] = {1};
std::vector<int32_t> paraformer_length;
paraformer_length.emplace_back(num_frames);
Ort::Value onnx_feats_len = Ort::Value::CreateTensor<int32_t>(
m_memoryInfo, paraformer_length.data(), paraformer_length.size(), paraformer_length_shape, 1);
std::vector<Ort::Value> input_onnx;
input_onnx.emplace_back(std::move(onnx_feats));
input_onnx.emplace_back(std::move(onnx_feats_len));
string result;
try {
auto outputTensor = m_session->Run(run_option, m_szInputNames.data(), input_onnx.data(), m_szInputNames.size(), m_szOutputNames.data(), m_szOutputNames.size());
auto outputTensor = m_session->Run(Ort::RunOptions{nullptr}, m_szInputNames.data(), input_onnx.data(), input_onnx.size(), m_szOutputNames.data(), m_szOutputNames.size());
std::vector<int64_t> outputShape = outputTensor[0].GetTensorTypeAndShapeInfo().GetShape();
int64_t outputCount = std::accumulate(outputShape.begin(), outputShape.end(), 1, std::multiplies<int64_t>());
@ -208,15 +282,6 @@ string ModelImp::forward(float* din, int len, int flag)
result = "";
}
if(in){
delete in;
in = nullptr;
}
if(fe){
delete fe;
fe = nullptr;
}
return result;
}

16
funasr/runtime/onnxruntime/src/paraformer_onnx.h
View File

@ -4,23 +4,26 @@
#ifndef PARAFORMER_MODELIMP_H
#define PARAFORMER_MODELIMP_H
#include "kaldi-native-fbank/csrc/feature-fbank.h"
#include "kaldi-native-fbank/csrc/online-feature.h"
namespace paraformer {
class ModelImp : public Model {
private:
int fft_size=512;
float *fft_input;
fftwf_complex *fft_out;
fftwf_plan plan;
//std::unique_ptr<knf::OnlineFbank> fbank_;
knf::FbankOptions fbank_opts;
Vocab* vocab;
vector<float> means_list;
vector<float> vars_list;
const float scale = 22.6274169979695;
int32_t lfr_window_size = 7;
int32_t lfr_window_shift = 6;
void apply_lfr(Tensor<float>*& din);
void apply_cmvn(Tensor<float>* din);
void load_cmvn(const char *filename);
vector<float> ApplyLFR(const vector<float> &in);
void ApplyCMVN(vector<float> *v);
string greedy_search( float* in, int nLen);
@ -36,6 +39,7 @@ namespace paraformer {
ModelImp(const char* path, int nNumThread=0, bool quantize=false);
~ModelImp();
void reset();
vector<float> FbankKaldi(float sample_rate, const float* waves, int len);
string forward_chunk(float* din, int len, int flag);
string forward(float* din, int len, int flag);
string rescoring();

1
funasr/runtime/onnxruntime/src/precomp.h
View File

@ -40,7 +40,6 @@ using namespace std;
#include "Tensor.h"
#include "util.h"
#include "CommonStruct.h"
#include "FeatureExtract.h"
#include "FeatureQueue.h"
#include "SpeechWrap.h"
#include <Audio.h>

3
funasr/runtime/onnxruntime/tester/tester.cpp
View File

@ -14,7 +14,6 @@ using namespace std;
int main(int argc, char *argv[])
{
if (argc < 4)
{
printf("Usage: %s /path/to/model_dir /path/to/wav/file quantize(true or false) \n", argv[0]);
@ -22,7 +21,7 @@ int main(int argc, char *argv[])
}
struct timeval start, end;
gettimeofday(&start, NULL);
int nThreadNum = 4;
int nThreadNum = 1;
// is quantize
bool quantize = false;
istringstream(argv[3]) >> boolalpha >> quantize;

108
funasr/runtime/onnxruntime/tester/tester_rtf.cpp
View File

@ -11,14 +11,77 @@
#include <fstream>
#include <sstream>
#include <vector>
#include <atomic>
#include <mutex>
#include <thread>
using namespace std;
std::atomic<int> index(0);
std::mutex mtx;
void runReg(FUNASR_HANDLE AsrHanlde, vector<string> wav_list,
float* total_length, long* total_time, int core_id) {
// cpu_set_t cpuset;
// CPU_ZERO(&cpuset);
// CPU_SET(core_id, &cpuset);
// if(pthread_setaffinity_np(pthread_self(), sizeof(cpu_set_t), &cpuset) < 0){
// perror("pthread_setaffinity_np");
// }
struct timeval start, end;
long seconds = 0;
float n_total_length = 0.0f;
long n_total_time = 0;
// warm up
for (size_t i = 0; i < 1; i++)
{
FUNASR_RESULT Result=FunASRRecogFile(AsrHanlde, wav_list[0].c_str(), RASR_NONE, NULL);
}
while (true) {
// 使用原子变量获取索引并递增
int i = index.fetch_add(1);
if (i >= wav_list.size()) {
break;
}
gettimeofday(&start, NULL);
FUNASR_RESULT Result=FunASRRecogFile(AsrHanlde, wav_list[i].c_str(), RASR_NONE, NULL);
gettimeofday(&end, NULL);
seconds = (end.tv_sec - start.tv_sec);
long taking_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
n_total_time += taking_micros;
if(Result){
string msg = FunASRGetResult(Result, 0);
printf("Thread: %d Result: %s \n", this_thread::get_id(), msg.c_str());
float snippet_time = FunASRGetRetSnippetTime(Result);
n_total_length += snippet_time;
FunASRFreeResult(Result);
}else{
cout <<"No return data!";
}
}
{
lock_guard<mutex> guard(mtx);
*total_length += n_total_length;
if(*total_time < n_total_time){
*total_time = n_total_time;
}
}
}
int main(int argc, char *argv[])
{
if (argc < 4)
if (argc < 5)
{
printf("Usage: %s /path/to/model_dir /path/to/wav.scp quantize(true or false) \n", argv[0]);
printf("Usage: %s /path/to/model_dir /path/to/wav.scp quantize(true or false) nThreadNum \n", argv[0]);
exit(-1);
}
@ -42,12 +105,14 @@ int main(int argc, char *argv[])
// model init
struct timeval start, end;
gettimeofday(&start, NULL);
int nThreadNum = 1;
// is quantize
bool quantize = false;
istringstream(argv[3]) >> boolalpha >> quantize;
// thread num
int nThreadNum = 1;
nThreadNum = atoi(argv[4]);
FUNASR_HANDLE AsrHanlde=FunASRInit(argv[1], nThreadNum, quantize);
FUNASR_HANDLE AsrHanlde=FunASRInit(argv[1], 1, quantize);
if (!AsrHanlde)
{
printf("Cannot load ASR Model from: %s, there must be files model.onnx and vocab.txt", argv[1]);
@ -58,36 +123,19 @@ int main(int argc, char *argv[])
long modle_init_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
printf("Model initialization takes %lfs.\n", (double)modle_init_micros / 1000000);
// warm up
for (size_t i = 0; i < 30; i++)
// 多线程测试
float total_length = 0.0f;
long total_time = 0;
std::vector<std::thread> threads;
for (int i = 0; i < nThreadNum; i++)
{
FUNASR_RESULT Result=FunASRRecogFile(AsrHanlde, wav_list[0].c_str(), RASR_NONE, NULL);
threads.emplace_back(thread(runReg, AsrHanlde, wav_list, &total_length, &total_time, i));
}
// forward
float snippet_time = 0.0f;
float total_length = 0.0f;
long total_time = 0.0f;
for (size_t i = 0; i < wav_list.size(); i++)
for (auto& thread : threads)
{
gettimeofday(&start, NULL);
FUNASR_RESULT Result=FunASRRecogFile(AsrHanlde, wav_list[i].c_str(), RASR_NONE, NULL);
gettimeofday(&end, NULL);
seconds = (end.tv_sec - start.tv_sec);
long taking_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
total_time += taking_micros;
if(Result){
string msg = FunASRGetResult(Result, 0);
printf("Result: %s \n", msg.c_str());
snippet_time = FunASRGetRetSnippetTime(Result);
total_length += snippet_time;
FunASRFreeResult(Result);
}else{
cout <<"No return data!";
}
thread.join();
}
printf("total_time_wav %ld ms.\n", (long)(total_length * 1000));