ggml_set_name(KQ_mask, "KQ_mask");
ggml_set_input(KQ_mask);
- struct ggml_tensor * KQ_mask_f16 = ggml_cast(ctx0, KQ_mask, GGML_TYPE_F16);
-
// token encoding + position encoding
struct ggml_tensor * cur =
ggml_add(ctx0,
// K * Q
struct ggml_tensor * KQ = ggml_mul_mat(ctx0, K, Q);
- struct ggml_tensor * KQ_soft_max = ggml_soft_max_ext(ctx0, KQ, KQ_mask_f16, 1.0f, 0.0f);
+ struct ggml_tensor * KQ_soft_max = ggml_soft_max_ext(ctx0, KQ, KQ_mask, 1.0f, 0.0f);
struct ggml_tensor * V =
ggml_view_3d(ctx0, kv_self.v,
int i = ith;
// make sure n_fft == 1 + (WHISPER_N_FFT / 2), bin_0 to bin_nyquist
- assert( n_fft == 1 + (frame_size / 2) );
-
+ assert(n_fft == 1 + (frame_size / 2));
+
// calculate FFT only when fft_in are not all zero
for (; i < std::min(n_samples / frame_step + 1, mel.n_len); i += n_threads) {
const int offset = i * frame_step;