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optimize
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@weirdseed
weirdseed committed Feb 8, 2023
1 parent 1f9e39f commit f04268a
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Showing 8 changed files with 157 additions and 180 deletions.
2 changes: 1 addition & 1 deletion app/src/main/cpp/CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ add_library(moereng SHARED ${libassetmanager_source} ${libmecab_source} ${libjpc
${libnjd_set_digit_source} ${libnjd_set_long_vowel_source}
${libnjd_set_pronunciation_source} ${libnjd_set_unvoiced_vowel_source}
${libtext2mecab_source} ${libmecabapi_source} ${fft_pack_source} ${audio_process_source}
${ncnn_vits_source} native-lib.cpp )
${ncnn_vits_source} vitsncnn_jni.cpp)

find_library( # Sets the name of the path variable.
android-lib
Expand Down
130 changes: 65 additions & 65 deletions app/src/main/cpp/vits/SynthesizerTrn.cpp
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
#include <datareader.h>
#include "SynthesizerTrn.h"
#include "custom_layer.h"
#include "custom_layers.h"
#include "../mecab_api/api.h"

DEFINE_LAYER_CREATOR(expand_as)
Expand Down Expand Up @@ -30,7 +30,7 @@ DEFINE_LAYER_CREATOR(ZerosLike)
DEFINE_LAYER_CREATOR(RandnLike)

bool SynthesizerTrn::load_model(const std::string &folder, bool multi, Net &net,
const string& name, const Option &opt) {
const string &name, const Option &opt) {
LOGI("loading %s...\n", name.c_str());
net.register_custom_layer("Tensor.expand_as", expand_as_layer_creator);
net.register_custom_layer("modules.Transpose", Transpose_layer_creator);
Expand All @@ -48,9 +48,9 @@ bool SynthesizerTrn::load_model(const std::string &folder, bool multi, Net &net,

net.opt = opt;
std::string bin_path = join_path(folder, name + ".ncnn.bin");
std::string param_path = name + ".ncnn.param";
if (multi) param_path = "multi/" + param_path;
else param_path = "single/" + param_path;
std::string param_path;
if (multi) param_path = "multi/" + name + ".ncnn.param";
else param_path = "single/" + name + ".ncnn.param";
bool param_success = !net.load_param(assetManager, param_path.c_str());
bool bin_success = !net.load_model(bin_path.c_str());
if (param_success && bin_success) {
Expand All @@ -62,8 +62,20 @@ bool SynthesizerTrn::load_model(const std::string &folder, bool multi, Net &net,
return false;
}

bool SynthesizerTrn::load_weight(const std::string &folder, const std::string &name, const int w,
Mat &weight, const int n) {
void SynthesizerTrn::clear_nets(){
emb_t.release();
emb_g.release();
enc_p.clear();
enc_q.clear();
dec.clear();
flow_reverse.clear();
flow.clear();
dp.clear();
}

bool SynthesizerTrn::load_weight(const std::string &folder, Mat &weight, const std::string &name,
const int w,
const int n) {
LOGI("loading %s...\n", "text embedding");
std::string path = join_path(folder, name + ".bin");
FILE *fp = fopen(path.c_str(), "rb");
Expand All @@ -86,59 +98,50 @@ bool SynthesizerTrn::load_weight(const std::string &folder, const std::string &n
}

bool SynthesizerTrn::init(const std::string &model_folder, bool voice_convert, bool multi,
const int n_vocab, AssetJNI *assetJni, Nets *nets, Option &opt) {

const int n_vocab, AssetJNI *assetJni, Option &opt) {
clear_nets();
assetManager = AAssetManager_fromJava(assetJni->env, assetJni->assetManager);

opt.lightmode = true;
opt.use_packing_layout = true;
opt.use_bf16_storage = true;

// use vulkan compute
if (ncnn::get_gpu_count() != 0)
opt.use_vulkan_compute = true;

if (voice_convert) {
if (load_weight(model_folder, "emb_t", 192, nets->emb_t, n_vocab) &&
load_weight(model_folder, "emb_g", 256, nets->emb_g_weight, -1) &&
load_model(model_folder, multi, nets->enc_q, "enc_q", opt) &&
load_model(model_folder, multi, nets->dec, "dec", opt) &&
load_model(model_folder, multi, nets->flow, "flow", opt) &&
load_model(model_folder, multi, nets->flow_reverse, "flow.reverse", opt))
if (load_weight(model_folder, emb_t, "emb_t", 192, n_vocab) &&
load_weight(model_folder, emb_g, "emb_g", 256, -1) &&
load_model(model_folder, multi, enc_q, "enc_q", opt) &&
load_model(model_folder, multi, dec, "dec", opt) &&
load_model(model_folder, multi, flow, "flow", opt) &&
load_model(model_folder, multi, flow_reverse, "flow.reverse", opt))
return true;
} else if (multi) {
if (load_weight(model_folder, "emb_t", 192, nets->emb_t, n_vocab) &&
load_weight(model_folder, "emb_g", 256, nets->emb_g_weight, -1) &&
load_model(model_folder, multi, nets->enc_p, "enc_p", opt) &&
load_model(model_folder, multi, nets->enc_q, "enc_q", opt) &&
load_model(model_folder, multi, nets->dec, "dec", opt) &&
load_model(model_folder, multi, nets->flow, "flow", opt) &&
load_model(model_folder, multi, nets->flow_reverse, "flow.reverse", opt) &&
load_model(model_folder, multi, nets->dp, "dp", opt))
if (load_weight(model_folder, emb_t, "emb_t", 192, n_vocab) &&
load_weight(model_folder, emb_g, "emb_g", 256, -1) &&
load_model(model_folder, multi, enc_p, "enc_p", opt) &&
load_model(model_folder, multi, enc_q, "enc_q", opt) &&
load_model(model_folder, multi, dec, "dec", opt) &&
load_model(model_folder, multi, flow, "flow", opt) &&
load_model(model_folder, multi, flow_reverse, "flow.reverse", opt) &&
load_model(model_folder, multi, dp, "dp", opt))
return true;
} else {
if (load_weight(model_folder, "emb_t", 192, nets->emb_t, n_vocab) &&
load_model(model_folder, multi, nets->enc_p, "enc_p", opt) &&
load_model(model_folder, multi, nets->dec, "dec", opt) &&
load_model(model_folder, multi, nets->flow_reverse, "flow.reverse", opt) &&
load_model(model_folder, multi, nets->dp, "dp", opt))
if (load_weight(model_folder, emb_t, "emb_t", 192, n_vocab) &&
load_model(model_folder, multi, enc_p, "enc_p", opt) &&
load_model(model_folder, multi, dec, "dec", opt) &&
load_model(model_folder, multi, flow_reverse, "flow.reverse", opt) &&
load_model(model_folder, multi, dp, "dp", opt))
return true;
}

return false;
}

std::vector<Mat>
SynthesizerTrn::enc_p_forward(const Mat &x, const Mat &weight, const Net &enc_p,
bool vulkan, const Option &opt) {
SynthesizerTrn::enc_p_forward(const Mat &x, bool vulkan, const Option &opt) {
Mat length(1);
length[0] = float(x.w);
Extractor ex = enc_p.create_extractor();
ex.set_num_threads(opt.num_threads);
ex.set_vulkan_compute(vulkan);
ex.input("in0", x);
ex.input("in1", length);
ex.input("in2", weight);
ex.input("in2", emb_t);
Mat out0, out1, out2, out3;
ex.extract("out0", out0);
ex.extract("out1", out1);
Expand All @@ -151,8 +154,7 @@ SynthesizerTrn::enc_p_forward(const Mat &x, const Mat &weight, const Net &enc_p,
}

std::vector<Mat>
SynthesizerTrn::enc_q_forward(const Mat &x, const Mat &g, const Net &enc_q, bool vulkan,
const Option &opt) {
SynthesizerTrn::enc_q_forward(const Mat &x, const Mat &g, bool vulkan, const Option &opt) {
Mat length(1);
length[0] = float(x.w);
Extractor ex = enc_q.create_extractor();
Expand All @@ -167,16 +169,16 @@ SynthesizerTrn::enc_q_forward(const Mat &x, const Mat &g, const Net &enc_q, bool
return std::vector<Mat>{out0, out1};
}

Mat SynthesizerTrn::emb_g_forward(int sid, const Mat &weight, const Option &opt) {
Mat SynthesizerTrn::emb_g_forward(int sid, const Option &opt) {
Mat sid_mat(1);
sid_mat[0] = (float) sid;
Mat out = embedding(sid_mat, weight, opt);
Mat out = embedding(sid_mat, emb_g, opt);
return out;
}

Mat SynthesizerTrn::dp_forward(const Mat &x, const Mat &x_mask, const Mat &z, const Mat &g,
float noise_scale,
const Net &dp, bool vulkan, const Option &opt) {
bool vulkan, const Option &opt) {
Mat out;
Extractor ex = dp.create_extractor();
ex.set_num_threads(opt.num_threads);
Expand All @@ -199,9 +201,8 @@ Mat SynthesizerTrn::dp_forward(const Mat &x, const Mat &x_mask, const Mat &z, co
return out;
}

Mat SynthesizerTrn::flow_reverse_forward(const Mat &x, const Mat &x_mask, const Mat &g,
const Net &flow_reverse,
bool vulkan, const Option &opt) {
Mat SynthesizerTrn::flow_reverse_forward(const Mat &x, const Mat &x_mask, const Mat &g, bool vulkan,
const Option &opt) {
Extractor ex = flow_reverse.create_extractor();
ex.set_num_threads(opt.num_threads);
ex.set_vulkan_compute(vulkan);
Expand All @@ -213,8 +214,8 @@ Mat SynthesizerTrn::flow_reverse_forward(const Mat &x, const Mat &x_mask, const
return out;
}

Mat SynthesizerTrn::flow_forward(const Mat &x, const Mat &x_mask, const Mat &g, const Net &flow,
bool vulkan, const Option &opt) {
Mat SynthesizerTrn::flow_forward(const Mat &x, const Mat &x_mask, const Mat &g, bool vulkan,
const Option &opt) {
Extractor ex = flow.create_extractor();
ex.set_num_threads(opt.num_threads);
ex.set_vulkan_compute(vulkan);
Expand All @@ -226,8 +227,7 @@ Mat SynthesizerTrn::flow_forward(const Mat &x, const Mat &x_mask, const Mat &g,
return out;
}

Mat SynthesizerTrn::dec_forward(const Mat &x, const Mat &g, const Net &dec, bool vulkan,
const Option &opt) {
Mat SynthesizerTrn::dec_forward(const Mat &x, const Mat &g, bool vulkan, const Option &opt) {
Extractor ex = dec.create_extractor();
ex.set_num_threads(opt.num_threads);
ex.set_vulkan_compute(vulkan);
Expand All @@ -241,24 +241,24 @@ Mat SynthesizerTrn::dec_forward(const Mat &x, const Mat &g, const Net &dec, bool
SynthesizerTrn::SynthesizerTrn() = default;

// c++ implementation of SynthesizerTrn
Mat SynthesizerTrn::forward(const Mat &data, Nets *nets, const Option &opt, bool vulkan, bool multi,
Mat SynthesizerTrn::forward(const Mat &data, const Option &opt, bool vulkan, bool multi,
int sid, float noise_scale, float noise_scale_w, float length_scale) {
LOGI("processing...\n");
// enc_p
auto enc_p_out = enc_p_forward(data, nets->emb_t, nets->enc_p, vulkan, opt);
auto enc_p_out = enc_p_forward(data, vulkan, opt);
Mat x = enc_p_out[0];
Mat m_p = enc_p_out[1];
Mat logs_p = enc_p_out[2];
Mat x_mask = enc_p_out[3];

Mat g;
if (multi){
g = reducedims(mattranspose(emb_g_forward(sid, nets->emb_g_weight, opt), opt));
if (multi) {
g = reducedims(mattranspose(emb_g_forward(sid, opt), opt));
}

Mat z = randn(x.w, 2, opt, 1);

Mat logw = dp_forward(x, x_mask, z, g, noise_scale_w, nets->dp, vulkan, opt);
Mat logw = dp_forward(x, x_mask, z, g, noise_scale_w, vulkan, opt);

Mat w = product(matproduct(matexp(logw, opt), x_mask, opt), length_scale, opt);

Expand Down Expand Up @@ -291,36 +291,36 @@ Mat SynthesizerTrn::forward(const Mat &data, Nets *nets, const Option &opt, bool
opt);

z = flow_reverse_forward(expanddims(z_p), mattranspose(expanddims(y_mask), opt), expanddims(g),
nets->flow_reverse, vulkan, opt);
vulkan, opt);

y_mask = mattranspose(y_mask, opt);

y_mask = expand(y_mask, z.w, z.h, opt);

Mat o = dec_forward(reducedims(matproduct(z, y_mask, opt)), expanddims(g), nets->dec,
Mat o = dec_forward(reducedims(matproduct(z, y_mask, opt)), expanddims(g),
vulkan, opt);
LOGI("finished!\n");
return o;
}

Mat SynthesizerTrn::voice_convert(const Mat &audio, int raw_sid, int target_sid,
Nets *net, const Option& opt, bool vulkan) {
const Option &opt, bool vulkan) {

LOGI("start converting...\n");
// stft transform
auto spec = stft(audio, 1024, 256, 1024, opt)[0];
spec = matsqrt(Plus(matpow(spec, 2, opt), 1e-6, opt), opt);

// voice conversion
auto g_src = mattranspose(emb_g_forward(raw_sid, net->emb_g_weight, opt), opt);
auto g_tgt = mattranspose(emb_g_forward(target_sid, net->emb_g_weight, opt), opt);
auto enc_q_out = enc_q_forward(spec, g_src, net->enc_q, vulkan, opt);
auto g_src = mattranspose(emb_g_forward(raw_sid, opt), opt);
auto g_tgt = mattranspose(emb_g_forward(target_sid, opt), opt);
auto enc_q_out = enc_q_forward(spec, g_src, vulkan, opt);
auto z = expanddims(enc_q_out[0]);
auto y_mask = enc_q_out[1];
auto z_p = flow_forward(z, y_mask, g_src, net->flow, vulkan, opt);
auto z_hat = flow_reverse_forward(z_p, y_mask, g_tgt, net->flow_reverse, vulkan, opt);
auto z_p = flow_forward(z, y_mask, g_src, vulkan, opt);
auto z_hat = flow_reverse_forward(z_p, y_mask, g_tgt, vulkan, opt);
y_mask = expand(y_mask, z_hat.w, z_hat.h, opt);
auto o_hat = dec_forward(reducedims(matproduct(z_hat, y_mask, opt)), g_tgt, net->dec,
auto o_hat = dec_forward(reducedims(matproduct(z_hat, y_mask, opt)), g_tgt,
vulkan, opt);
LOGI("voice converted!\n");
return o_hat;
Expand Down
50 changes: 19 additions & 31 deletions app/src/main/cpp/vits/SynthesizerTrn.h
View file
Original file line number Diff line number Diff line change
Expand Up @@ -4,70 +4,58 @@
#include "utils.h"
#include "../asset_manager_api/manager.h"

struct Nets {
class SynthesizerTrn {
private:
Mat emb_t;
Mat emb_g_weight;
Mat emb_g;
Net enc_p;
Net enc_q;
Net dec;
Net flow_reverse;
Net flow;
Net dp;
};

class SynthesizerTrn {
private:
AAssetManager *assetManager{};

void clear_nets();

static bool
load_weight(const std::string &folder, const std::string &name, const int w, Mat &weight,
load_weight(const std::string &folder, Mat &weight, const std::string &name, const int w,
const int n);

bool load_model(const std::string &folder, bool multi, Net &net, const string& name, const Option &opt);
bool
load_model(const std::string &folder, bool multi, Net &net, const string& name, const Option &opt);

static std::vector<Mat>
enc_p_forward(const Mat &x, const Mat &weight, const Net &enc_p, bool vulkan,
const Option &opt);
std::vector<Mat>
enc_p_forward(const Mat &x, bool vulkan, const Option &opt);

static std::vector<Mat>
enc_q_forward(const Mat &x, const Mat &g, const Net &enc_q, bool vulkan, const Option &opt);
std::vector<Mat> enc_q_forward(const Mat &x, const Mat &g, bool vulkan, const Option &opt);

static Mat
emb_g_forward(int sid, const Mat &weight, const Option& opt);
Mat emb_g_forward(int sid, const Option& opt);

static Mat
dp_forward(const Mat &x, const Mat &x_mask, const Mat &z, const Mat &g, float noise_scale,
const Net &dp,
Mat dp_forward(const Mat &x, const Mat &x_mask, const Mat &z, const Mat &g, float noise_scale,
bool vulkan, const Option &opt);

static Mat
flow_reverse_forward(const Mat &x, const Mat &x_mask, const Mat &g, const Net &flow_reverse,
bool vulkan, const Option &opt);
Mat flow_reverse_forward(const Mat &x, const Mat &x_mask, const Mat &g, bool vulkan, const Option &opt);

static Mat
flow_forward(const Mat &x, const Mat &x_mask, const Mat &g, const Net &flow, bool vulkan,
const Option &opt);
Mat flow_forward(const Mat &x, const Mat &x_mask, const Mat &g, bool vulkan, const Option &opt);

static Mat
dec_forward(const Mat &x, const Mat &g, const Net &dec, bool vulkan, const Option &opt);
Mat dec_forward(const Mat &x, const Mat &g, bool vulkan, const Option &opt);

public:

bool init(const std::string &model_folder, bool voice_convert, bool multi, const int n_vocab,
AssetJNI *assetJni, Nets *nets, Option &opt);
AssetJNI *assetJni, Option &opt);

SynthesizerTrn();

static Mat
forward(const Mat &x, Nets *nets, const Option &opt, bool vulkan = false, bool multi = false,
Mat forward(const Mat &x, const Option &opt, bool vulkan = false, bool multi = false,
int sid = 0, float noise_scale = .667, float noise_scale_w = 0.8,
float length_scale = 1);

static Mat voice_convert(const Mat &x, int raw_sid, int target_sid,
Nets *net, const Option &opt, bool vulkan = false);
Mat voice_convert(const Mat &x, int raw_sid, int target_sid, const Option &opt, bool vulkan = false);

~SynthesizerTrn();
};

#endif
#pragma once
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