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https://github.com/ggerganov/whisper.cpp.git
synced 2024-11-07 08:34:37 +01:00
whisper : try to fix the parallel whisper_state functionality (#1479)
* whisper : try to fix the parallel whisper_state functionality * whisper : fix multi-state Metal * whisper : free backend instances in whisper_state
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@ -8,6 +8,7 @@
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.DS_Store
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build/
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build-coreml/
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build-em/
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build-debug/
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build-release/
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@ -26,7 +26,7 @@
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#include <stdbool.h>
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// max memory buffers that can be mapped to the device
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#define GGML_METAL_MAX_BUFFERS 16
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#define GGML_METAL_MAX_BUFFERS 64
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#define GGML_METAL_MAX_COMMAND_BUFFERS 32
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struct ggml_tensor;
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@ -479,6 +479,10 @@ static id<MTLBuffer> ggml_metal_get_buffer(struct ggml_metal_context * ctx, stru
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const int64_t tsize = ggml_nbytes(t);
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if (t->buffer && t->buffer->backend && t->buffer->backend->context) {
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ctx = t->buffer->backend->context;
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}
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// find the view that contains the tensor fully
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for (int i = 0; i < ctx->n_buffers; ++i) {
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const int64_t ioffs = (int64_t) t->data - (int64_t) ctx->buffers[i].data;
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88
whisper.cpp
88
whisper.cpp
@ -649,7 +649,6 @@ static size_t whisper_allocr_size(struct whisper_allocr & allocr) {
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static void whisper_allocr_graph_init(struct whisper_allocr & allocr, ggml_backend_t backend, std::function<struct ggml_cgraph *()> && get_graph) {
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auto & alloc = allocr.alloc;
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auto & meta = allocr.meta;
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auto & buffer = allocr.buffer;
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alloc = ggml_allocr_new_measure_from_backend(backend);
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@ -659,6 +658,11 @@ static void whisper_allocr_graph_init(struct whisper_allocr & allocr, ggml_backe
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}
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static void whisper_allocr_graph_realloc(struct whisper_allocr & allocr, ggml_backend_t backend) {
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if (allocr.alloc == nullptr) {
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// this can be null if we use external encoder like CoreML or OpenVINO
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return;
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}
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auto & alloc = allocr.alloc;
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auto & buffer = allocr.buffer;
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@ -702,6 +706,8 @@ struct whisper_state {
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// buffer for swapping KV caches between decoders during beam-search
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std::vector<kv_buf> kv_swap_bufs;
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ggml_backend_t backend = nullptr;
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// ggml-alloc:
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// - stores meta info about the intermediate tensors into the `meta` buffers
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// - stores the actual tensor data into the `data` buffers
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@ -881,6 +887,37 @@ static void kv_cache_free(struct whisper_kv_cache & cache) {
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}
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}
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static ggml_backend_t whisper_backend_init(const whisper_context_params & params) {
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ggml_backend_t backend_gpu = NULL;
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// initialize the backends
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#ifdef GGML_USE_CUBLAS
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if (params.use_gpu) {
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WHISPER_LOG_INFO("%s: using CUDA backend\n", __func__);
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backend_gpu = ggml_backend_cuda_init();
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if (!backend_gpu) {
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WHISPER_LOG_ERROR("%s: ggml_backend_cuda_init() failed\n", __func__);
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}
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}
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#endif
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#ifdef GGML_USE_METAL
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if (params.use_gpu) {
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WHISPER_LOG_INFO("%s: using Metal backend\n", __func__);
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ggml_metal_log_set_callback(whisper_log_callback_default, nullptr);
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backend_gpu = ggml_backend_metal_init();
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if (!backend_gpu) {
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WHISPER_LOG_ERROR("%s: ggml_backend_metal_init() failed\n", __func__);
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}
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}
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#endif
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if (backend_gpu) {
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return backend_gpu;
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}
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return ggml_backend_cpu_init();
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}
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// load the model from a ggml file
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//
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// file format:
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@ -1299,38 +1336,7 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con
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}
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}
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// init backends
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{
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ggml_backend_t backend_gpu = NULL;
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// initialize the backends
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#ifdef GGML_USE_CUBLAS
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if (wctx.params.use_gpu) {
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WHISPER_LOG_INFO("%s: using CUDA backend\n", __func__);
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backend_gpu = ggml_backend_cuda_init();
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if (!backend_gpu) {
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WHISPER_LOG_ERROR("%s: ggml_backend_cuda_init() failed\n", __func__);
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}
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}
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#endif
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#ifdef GGML_USE_METAL
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if (wctx.params.use_gpu) {
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WHISPER_LOG_INFO("%s: using Metal backend\n", __func__);
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ggml_metal_log_set_callback(whisper_log_callback_default, nullptr);
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backend_gpu = ggml_backend_metal_init();
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if (!backend_gpu) {
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WHISPER_LOG_ERROR("%s: ggml_backend_metal_init() failed\n", __func__);
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}
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}
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#endif
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if (backend_gpu) {
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wctx.backend = backend_gpu;
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} else {
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wctx.backend = ggml_backend_cpu_init();
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}
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}
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wctx.backend = whisper_backend_init(wctx.params);
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{
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size_t size_main = 0;
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@ -1964,7 +1970,7 @@ static bool whisper_encode_internal(
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ggml_allocr_alloc_graph(alloc, gf);
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if (!whisper_encode_external(wstate)) {
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ggml_graph_compute_helper(wctx.backend, gf, n_threads);
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ggml_graph_compute_helper(wstate.backend, gf, n_threads);
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}
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}
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@ -1978,7 +1984,7 @@ static bool whisper_encode_internal(
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ggml_allocr_alloc_graph(alloc, gf);
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ggml_graph_compute_helper(wctx.backend, gf, n_threads);
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ggml_graph_compute_helper(wstate.backend, gf, n_threads);
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}
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// cross
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@ -1991,7 +1997,7 @@ static bool whisper_encode_internal(
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ggml_allocr_alloc_graph(alloc, gf);
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ggml_graph_compute_helper(wctx.backend, gf, n_threads);
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ggml_graph_compute_helper(wstate.backend, gf, n_threads);
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}
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wstate.t_encode_us += ggml_time_us() - t_start_us;
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@ -2382,7 +2388,7 @@ static bool whisper_decode_internal(
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logits = gf->nodes[gf->n_nodes - 1];
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ggml_graph_compute_helper(wctx.backend, gf, n_threads);
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ggml_graph_compute_helper(wstate.backend, gf, n_threads);
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}
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// extract logits for all N tokens
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@ -2825,6 +2831,8 @@ struct whisper_state * whisper_init_state(whisper_context * ctx) {
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whisper_state * state = new whisper_state;
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state->backend = whisper_backend_init(ctx->params);
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if (!kv_cache_init(ctx->model.hparams, state->decoders[0].kv_self, ctx->backend, ctx->itype, ctx->model.hparams.n_text_ctx)) {
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WHISPER_LOG_ERROR("%s: kv_cache_init() failed for self-attention cache\n", __func__);
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delete state;
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@ -2922,9 +2930,9 @@ struct whisper_state * whisper_init_state(whisper_context * ctx) {
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WHISPER_LOG_INFO("%s: compute buffer (decode) = %7.2f MB\n", __func__, whisper_allocr_size(state->alloc_decode) / 1024.0 / 1024.0);
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}
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whisper_allocr_graph_realloc(state->alloc_conv, ctx->backend);
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whisper_allocr_graph_realloc(state->alloc_conv, ctx->backend);
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whisper_allocr_graph_realloc(state->alloc_encode, ctx->backend);
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whisper_allocr_graph_realloc(state->alloc_cross, ctx->backend);
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whisper_allocr_graph_realloc(state->alloc_cross, ctx->backend);
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whisper_allocr_graph_realloc(state->alloc_decode, ctx->backend);
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state->rng = std::mt19937(0);
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@ -3178,6 +3186,8 @@ void whisper_free_state(struct whisper_state * state)
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whisper_allocr_free(state->alloc_cross);
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whisper_allocr_free(state->alloc_decode);
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ggml_backend_free(state->backend);
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delete state;
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}
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}
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