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feat(kokoro): F16-quantize voice_tensors #96

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feat(kokoro): F16-quantize voice_tensors #96

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6 changes: 4 additions & 2 deletions src/kokoro_model.cpp
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Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
#include "kokoro_model.h"

#define ggml_cast_if_needed(ctx, x, qtype) ((x)->type == (qtype) ? (x) : ggml_cast((ctx), (x), (qtype)))

static struct ggml_tensor * build_albert_attn_mask(ggml_context * ctx, struct kokoro_duration_context *kctx, const kokoro_ubatch & batch) {
kctx->attn_mask = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, (int64_t) batch.n_tokens, (int64_t) batch.n_tokens);
ggml_set_input(kctx->attn_mask);
Expand Down Expand Up @@ -943,7 +945,7 @@ struct ggml_cgraph * kokoro_duration_runner::build_kokoro_duration_graph(kokoro_
// In order to side step this problem I computed the graph and determined the size in advance and use that constant value here.
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx, 110000, false);

struct ggml_tensor * voice = model->voices[kctx->voice];
struct ggml_tensor * voice = ggml_cast_if_needed(ctx, model->voices[kctx->voice], GGML_TYPE_F32);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;

Expand Down Expand Up @@ -1146,7 +1148,7 @@ struct ggml_cgraph * kokoro_runner::build_kokoro_graph(kokoro_ubatch & batch) {
// In order to side step this problem I computed the graph and determined the size in advance and use that constant value here.
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx, 570000, false);

struct ggml_tensor * voice = model->voices[kctx->voice];
struct ggml_tensor * voice = ggml_cast_if_needed(ctx, model->voices[kctx->voice], GGML_TYPE_F32);
struct ggml_tensor * style_half = ggml_view_1d(ctx, voice, voice->ne[0]/2, voice->ne[0] / 2 * voice->nb[0] + (batch.n_tokens - 3) * voice->nb[1]);
struct ggml_tensor * cur;

Expand Down
3 changes: 1 addition & 2 deletions src/tts.cpp
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Expand Up @@ -191,8 +191,7 @@ void update_conditional_prompt(tts_runner * runner, const std::string file_path,
}

bool kokoro_is_f16_compatible(std::string name) {
return name.find("voice_tensors") == std::string::npos &&
name.find("bias") == std::string::npos &&
return name.find("bias") == std::string::npos &&
name.find("gamma") == std::string::npos &&
name.find("beta") == std::string::npos &&
name.find("alpha") == std::string::npos &&
Expand Down