[runtime] fix linux && android cmake bug (#3112)

* support vad ios compile
* support onnx model recognize
* add build ios sh
pull/3140/head
masimeng1994 2 years ago committed by GitHub
parent 9e5a39cae0
commit 591b957b96
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

@ -60,7 +60,10 @@ set(FETCHCONTENT_BASE_DIR ${fc_patch})
###############################################################################
# https://github.com/google/brotli/pull/655
option(BUILD_SHARED_LIBS "Build shared libraries" ON)
option(NDEBUG "debug option" OFF)
option(WITH_PPS_DEBUG "debug option" OFF)
if (WITH_PPS_DEBUG)
add_definitions("-DPPS_DEBUG")
endif()
option(WITH_ASR "build asr" ON)
option(WITH_CLS "build cls" ON)
@ -71,7 +74,7 @@ option(WITH_GPU "NNet using GPU." OFF)
option(WITH_PROFILING "enable c++ profling" OFF)
option(WITH_TESTING "unit test" ON)
option(WITH_ONNX "u2 support onnx runtime" ON)
option(WITH_ONNX "u2 support onnx runtime" OFF)
###############################################################################
# Include Third Party

@ -9,9 +9,11 @@ mkdir -p ${BUILD_DIR}
BUILD_TYPE=Release
#BUILD_TYPE=Debug
BUILD_SO=OFF
BUILD_ONNX=ON
BUILD_ASR=ON
BUILD_CLS=ON
BUILD_VAD=ON
PPS_DEBUG=OFF
FASTDEPLOY_INSTALL_DIR=""
# the build script had verified in the paddlepaddle docker image.
@ -21,9 +23,11 @@ FASTDEPLOY_INSTALL_DIR=""
cmake -B ${BUILD_DIR} \
-DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
-DBUILD_SHARED_LIBS=${BUILD_SO} \
-DWITH_ONNX=${BUILD_ONNX} \
-DWITH_ASR=${BUILD_ASR} \
-DWITH_CLS=${BUILD_CLS} \
-DWITH_VAD=${BUILD_VAD} \
-DFASTDEPLOY_INSTALL_DIR=${FASTDEPLOY_INSTALL_DIR}
-DFASTDEPLOY_INSTALL_DIR=${FASTDEPLOY_INSTALL_DIR} \
-DWITH_PPS_DEBUG=${PPS_DEBUG}
cmake --build ${BUILD_DIR} -j

@ -2,7 +2,7 @@
set -ex
ANDROID_NDK=/workspace/zhanghui/android-sdk/android-ndk-r25c
ANDROID_NDK=/mnt/masimeng/workspace/software/android-ndk-r25b/
# Setting up Android toolchanin
ANDROID_ABI=arm64-v8a # 'arm64-v8a', 'armeabi-v7a'
@ -14,7 +14,7 @@ TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake
# Create build directory
BUILD_ROOT=build/Android
BUILD_DIR=${BUILD_ROOT}/${ANDROID_ABI}-api-21
FASTDEPLOY_INSTALL_DIR="/workspace/zhanghui/paddle/FastDeploy/build/Android/arm64-v8a-api-21/install"
FASTDEPLOY_INSTALL_DIR="/mnt/masimeng/workspace/FastDeploy/build/Android/arm64-v8a-api-21/install"
mkdir -p ${BUILD_DIR}
cd ${BUILD_DIR}

@ -28,7 +28,7 @@ endif()
if(ANDROID)
add_library(extern_glog INTERFACE)
add_dependencies(glog gflags)
add_dependencies(extern_glog gflags)
else() # UNIX
add_library(extern_glog ALIAS glog)
add_dependencies(glog gflags)

@ -223,7 +223,7 @@ void U2Nnet::ForwardEncoderChunkImpl(
VLOG(3) << "feats shape: " << feats.shape()[0] << ", " << feats.shape()[1]
<< ", " << feats.shape()[2];
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("feat", std::ios_base::app | std::ios_base::out);
path << offset_;
@ -269,7 +269,7 @@ void U2Nnet::ForwardEncoderChunkImpl(
cnn_cache_ = outputs[2];
#endif
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_logits",
std::ios_base::app | std::ios_base::out);
@ -299,7 +299,7 @@ void U2Nnet::ForwardEncoderChunkImpl(
encoder_outs_.push_back(chunk_out);
VLOG(2) << "encoder_outs_ size: " << encoder_outs_.size();
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_logits_list",
std::ios_base::app | std::ios_base::out);
@ -332,7 +332,7 @@ void U2Nnet::ForwardEncoderChunkImpl(
CHECK_EQ(outputs.size(), 1);
paddle::Tensor ctc_log_probs = outputs[0];
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_logprob",
std::ios_base::app | std::ios_base::out);
@ -371,7 +371,7 @@ void U2Nnet::ForwardEncoderChunkImpl(
std::memcpy(
out_prob->data(), ctc_log_probs_ptr, T * D * sizeof(kaldi::BaseFloat));
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_logits_list_ctc",
std::ios_base::app | std::ios_base::out);
@ -462,7 +462,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
}
}
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_logits_concat",
std::ios_base::app | std::ios_base::out);
@ -486,7 +486,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
paddle::Tensor encoder_out = paddle::concat(encoder_outs_, 1);
VLOG(2) << "encoder_outs_ size: " << encoder_outs_.size();
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_out0",
std::ios_base::app | std::ios_base::out);
@ -505,7 +505,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
}
#endif // end TEST_DEBUG
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("encoder_out",
std::ios_base::app | std::ios_base::out);
@ -536,7 +536,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
CHECK_EQ(probs_shape[0], num_hyps);
CHECK_EQ(probs_shape[1], max_hyps_len);
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("decoder_logprob",
std::ios_base::app | std::ios_base::out);
@ -554,7 +554,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
}
#endif // end TEST_DEBUG
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("hyps_lens",
std::ios_base::app | std::ios_base::out);
@ -570,7 +570,7 @@ void U2Nnet::AttentionRescoring(const std::vector<std::vector<int>>& hyps,
}
#endif // end TEST_DEBUG
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::stringstream path("hyps_tensor",
std::ios_base::app | std::ios_base::out);

@ -3,7 +3,7 @@ set(srcs
panns_interface.cc
)
add_library(cls ${srcs})
add_library(cls SHARED ${srcs})
target_link_libraries(cls PRIVATE ${FASTDEPLOY_LIBS} kaldi-matrix kaldi-base frontend utils )
set(bin_name panns_nnet_main)

@ -49,23 +49,22 @@ int ClsNnet::Init(const ClsNnetConf& conf) {
// init model
fastdeploy::RuntimeOption runtime_option;
#ifdef USE_ORT_BACKEND
#ifdef USE_PADDLE_INFERENCE_BACKEND
runtime_option.SetModelPath(conf.model_file_path_,
conf.param_file_path_,
fastdeploy::ModelFormat::PADDLE);
runtime_option.UsePaddleInferBackend();
#elif defined(USE_ORT_BACKEND)
runtime_option.SetModelPath(
conf.model_file_path_, "", fastdeploy::ModelFormat::ONNX); // onnx
runtime_option.UseOrtBackend(); // onnx
#endif
#ifdef USE_PADDLE_LITE_BACKEND
#elif defined(USE_PADDLE_LITE_BACKEND)
runtime_option.SetModelPath(conf.model_file_path_,
conf.param_file_path_,
fastdeploy::ModelFormat::PADDLE);
runtime_option.UseLiteBackend();
#endif
#ifdef USE_PADDLE_INFERENCE_BACKEND
runtime_option.SetModelPath(conf.model_file_path_,
conf.param_file_path_,
fastdeploy::ModelFormat::PADDLE);
runtime_option.UsePaddleInferBackend();
#endif
runtime_option.SetCpuThreadNum(conf.num_cpu_thread_);
// runtime_option.DeletePaddleBackendPass("simplify_with_basic_ops_pass");
runtime_ = std::unique_ptr<fastdeploy::Runtime>(new fastdeploy::Runtime());
@ -105,7 +104,7 @@ int ClsNnet::Forward(const char* wav_path,
conf_.wav_normal_,
conf_.wav_normal_type_,
conf_.wav_norm_mul_factor_);
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::ofstream fp("cls.wavform", std::ios::out);
for (int i = 0; i < wavform.size(); ++i) {
@ -138,7 +137,7 @@ int ClsNnet::Forward(const char* wav_path,
feats[i * feat_dim + j] = PowerTodb(feats[i * feat_dim + j]);
}
}
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::ofstream fp("cls.feat", std::ios::out);
for (int i = 0; i < num_frames; ++i) {
@ -162,7 +161,7 @@ int ClsNnet::Forward(const char* wav_path,
#ifdef WITH_PROFILING
printf("fast deploy infer consume: %fs\n", timer.Elapsed());
#endif
#ifndef NDEBUG
#ifdef PPS_DEBUG
{
std::ofstream fp("cls.logits", std::ios::out);
for (int i = 0; i < model_out.size(); ++i) {

@ -15,8 +15,8 @@
#include <fstream>
#include <string>
#include "base/flags.h"
#include "base/log.h"
#include "gflags/gflags.h"
#include "glog/logging.h"
#include "cls/nnet/panns_interface.h"
DEFINE_string(conf_path, "", "config path");

@ -90,7 +90,7 @@ class LogMessage {
} // namespace ppspeech
#ifdef NDEBUG
#ifndef PPS_DEBUG
#define DLOG_INFO \
ppspeech::log::LogMessage(__FILE__, __LINE__, ppspeech::log::INFO, false)
#define DLOG_WARNING \
@ -145,7 +145,7 @@ class LogMessage {
#define CHECK_LT(x, y) CHECK((x) < (y))
#define CHECK_GE(x, y) CHECK((x) >= (y))
#define CHECK_GT(x, y) CHECK((x) > (y))
#ifndef NDEBUG
#ifdef PPS_DEBUG
#define DCHECK(x) CHECK(x)
#define DCHECK_EQ(x, y) CHECK_EQ(x, y)
#define DCHECK_NE(x, y) CHECK_NE(x, y)
@ -153,7 +153,7 @@ class LogMessage {
#define DCHECK_LT(x, y) CHECK_LT(x, y)
#define DCHECK_GE(x, y) CHECK_GE(x, y)
#define DCHECK_GT(x, y) CHECK_GT(x, y)
#else // NDEBUG
#else
#define DCHECK(condition) \
while (false) CHECK(condition)
#define DCHECK_EQ(val1, val2) \

@ -7,6 +7,7 @@ add_library(kaldi-native-fbank-core
rfft.cc
)
target_link_libraries(kaldi-native-fbank-core PUBLIC utils base)
target_compile_options(kaldi-native-fbank-core PUBLIC "-fPIC")
add_library(frontend STATIC
cmvn.cc

@ -181,7 +181,7 @@ private:
// Also see KALDI_COMPILE_TIME_ASSERT, defined in base/kaldi-utils.h, and
// KALDI_ASSERT_IS_INTEGER_TYPE and KALDI_ASSERT_IS_FLOATING_TYPE, also defined
// there.
#ifndef NDEBUG
#ifdef PPS_DEBUG
#define KALDI_ASSERT(cond) \
do { \
if (cond) \

@ -2,7 +2,7 @@ set(srcs
vad_interface.cc
)
add_library(pps_vad_interface ${srcs})
add_library(pps_vad_interface SHARED ${srcs})
target_link_libraries(pps_vad_interface PUBLIC pps_vad extern_glog)

@ -12,4 +12,8 @@ target_link_libraries(${bin_name} pps_vad)
file(RELATIVE_PATH DEST_DIR ${ENGINE_ROOT} ${CMAKE_CURRENT_SOURCE_DIR})
install(TARGETS pps_vad DESTINATION lib)
install(TARGETS glog DESTINATION lib)
if(ANDROID)
install(TARGETS extern_glog DESTINATION lib)
else() # UNIX
install(TARGETS glog DESTINATION lib)
endif()

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