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fft
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@ -9,6 +9,7 @@
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#include <string>
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#include <vector>
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#include <fstream>
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#include <thread>
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//
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// Terminal utils
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@ -67,6 +68,45 @@ void fill_hann_window(int length, bool periodic, float * output) {
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}
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}
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// very poor-man fft
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void twiddle(float * real, float * imag, int k, int N) {
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float angle = 2 * M_PI * k / N;
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*real = cos(angle);
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*imag = sin(angle);
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}
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void irfft(int n, float * inp_cplx, float * out_real) {
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int N = n / 2 + 1;
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std::vector<float> real_input(N);
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std::vector<float> imag_input(N);
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for (int i = 0; i < N; ++i) {
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real_input[i] = inp_cplx[2 * i];
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imag_input[i] = inp_cplx[2 * i + 1];
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}
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std::vector<float> real_output(n);
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std::vector<float> imag_output(n);
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for (int k = 0; k < n; ++k) {
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real_output[k] = 0.0f;
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imag_output[k] = 0.0f;
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for (int m = 0; m < N; ++m) {
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float twiddle_real;
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float twiddle_imag;
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twiddle(&twiddle_real, &twiddle_imag, k * m, n);
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real_output[k] += real_input[m] * twiddle_real - imag_input[m] * twiddle_imag;
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imag_output[k] += real_input[m] * twiddle_imag + imag_input[m] * twiddle_real;
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}
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}
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for (int i = 0; i < n; ++i) {
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out_real[i] = real_output[i] / N;
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}
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}
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int main(int argc, char ** argv) {
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common_params params;
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@ -181,28 +221,93 @@ int main(int argc, char ** argv) {
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const int n_embd = llama_n_embd(model_cts);
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const float * embd = llama_get_embeddings(ctx_cts);
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const int w = 1280;
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std::vector<float> hann(w);
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const int n = prompt_inp.size();
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const int n_fft = 1280;
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const int n_hop = 320;
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const int n_win = 1280;
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const int n_pad = (n_win - n_hop)/2;
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std::vector<float> hann(n_fft);
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fill_hann_window(hann.size(), true, hann.data());
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int n_spec = n_embd*n;
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int n = n_embd*261;
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std::vector<float> E (n_spec);
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std::vector<float> S (n_spec);
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std::vector<float> ST(n_spec);
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LOG("result:\n");
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for (int i = 0; i < 10; ++i) {
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LOG("%8.3f ", embd[i]);
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for (int l = 0; l < n; ++l) {
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for (int k = 0; k < n_embd; ++k) {
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E[k*n + l] = embd[l*n_embd + k];
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}
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}
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LOG("\n");
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for (int i = n - 10; i < n; ++i) {
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LOG("%8.3f ", embd[i]);
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for (int k = 0; k < n_embd/2; ++k) {
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for (int l = 0; l < n; ++l) {
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float mag = E[(k )*n + l];
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float phi = E[(k + n_embd/2)*n + l];
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mag = exp(mag);
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if (mag > 1e2) {
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mag = 1e2;
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}
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S[2*(k*n + l) + 0] = mag*cosf(phi);
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S[2*(k*n + l) + 1] = mag*sinf(phi);
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}
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}
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for (int l = 0; l < n; ++l) {
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for (int k = 0; k < n_embd/2; ++k) {
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ST[l*n_embd + 2*k + 0] = S[2*(k*n + l) + 0];
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ST[l*n_embd + 2*k + 1] = S[2*(k*n + l) + 1];
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}
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}
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std::vector<float> res(n*n_fft);
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const int n_thread = std::thread::hardware_concurrency();
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std::vector<std::thread> workers(n_thread);
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for (int i = 0; i < n_thread; ++i) {
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workers[i] = std::thread([&, i]() {
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for (int l = i; l < n; l += n_thread) {
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irfft(n_fft, ST.data() + l*n_embd, res.data() + l*n_fft);
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}
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});
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}
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for (int i = 0; i < n_thread; ++i) {
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workers[i].join();
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}
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LOG("result (%d):\n", res.size());
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for (int i = 0; i < n_fft; ++i) {
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LOG("%d - %8.5f\n", i, res[5*n_fft + i]);
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}
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LOG("\n");
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double sum = 0.0;
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for (int i = 0; i < n; ++i) {
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sum += embd[i];
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for (int i = 0; i < n_fft; ++i) {
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sum += res[5*n_fft + i];
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}
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LOG("sum: %f\n", sum);
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{
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LOG("result:\n");
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for (int i = 0; i < 10; ++i) {
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LOG("%8.3f ", S[i]);
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}
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LOG("\n");
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for (int i = n_spec - 10; i < n_spec; ++i) {
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LOG("%8.3f ", S[i]);
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}
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LOG("\n");
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double sum = 0.0;
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for (int i = 0; i < n_spec; ++i) {
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sum += S[i];
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}
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LOG("sum: %f\n", sum);
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}
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fprintf(stderr, "\n");
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llama_free(ctx_ttc);
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