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talk-llama : sync llama.cpp
ggml-ci
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@ -259,9 +259,9 @@ extern "C" {
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llama_token * token;
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float * embd;
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llama_pos * pos;
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int32_t * n_seq_id;
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llama_seq_id ** seq_id;
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int8_t * logits; // TODO: rename this to "output"
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int32_t * n_seq_id; // TODO: remove, should belong to only 1 sequence
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llama_seq_id ** seq_id; // TODO: become llama_seq_id * seq_id;
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int8_t * logits; // TODO: rename this to "output"
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} llama_batch;
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enum llama_model_kv_override_type {
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@ -366,6 +366,8 @@ extern "C" {
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bool no_perf; // measure performance timings
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bool op_offload; // offload host tensor operations to device
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bool swa_full; // use full-size SWA cache (https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)
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// NOTE: setting to false when n_seq_max > 1 can cause bad performance in some cases
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// ref: https://github.com/ggml-org/llama.cpp/pull/13845#issuecomment-2924800573
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};
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// model quantization parameters
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@ -502,6 +504,7 @@ extern "C" {
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LLAMA_API int32_t llama_model_n_layer (const struct llama_model * model);
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LLAMA_API int32_t llama_model_n_head (const struct llama_model * model);
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LLAMA_API int32_t llama_model_n_head_kv (const struct llama_model * model);
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LLAMA_API int32_t llama_model_n_swa (const struct llama_model * model);
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// Get the model's RoPE frequency scaling factor
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LLAMA_API float llama_model_rope_freq_scale_train(const struct llama_model * model);
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@ -652,7 +655,6 @@ extern "C" {
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// Adds relative position "delta" to all tokens that belong to the specified sequence and have positions in [p0, p1)
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// If the KV cache is RoPEd, the KV data is updated accordingly:
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// - lazily on next llama_decode()
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// - explicitly with llama_kv_self_update()
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// p0 < 0 : [0, p1]
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// p1 < 0 : [p0, inf)
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LLAMA_API void llama_kv_self_seq_add(
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@ -665,7 +667,6 @@ extern "C" {
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// Integer division of the positions by factor of `d > 1`
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// If the KV cache is RoPEd, the KV data is updated accordingly:
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// - lazily on next llama_decode()
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// - explicitly with llama_kv_self_update()
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// p0 < 0 : [0, p1]
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// p1 < 0 : [p0, inf)
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LLAMA_API void llama_kv_self_seq_div(
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@ -677,12 +678,14 @@ extern "C" {
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// Returns the smallest position present in the KV cache for the specified sequence
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// This is typically non-zero only for SWA caches
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// Note that all positions in the range [pos_min, pos_max] are guaranteed to be present in the KV cache
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// Return -1 if the sequence is empty
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LLAMA_API llama_pos llama_kv_self_seq_pos_min(
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struct llama_context * ctx,
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llama_seq_id seq_id);
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// Returns the largest position present in the KV cache for the specified sequence
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// Note that all positions in the range [pos_min, pos_max] are guaranteed to be present in the KV cache
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// Return -1 if the sequence is empty
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LLAMA_API llama_pos llama_kv_self_seq_pos_max(
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struct llama_context * ctx,
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@ -691,14 +694,15 @@ extern "C" {
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// Defragment the KV cache
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// This will be applied:
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// - lazily on next llama_decode()
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// - explicitly with llama_kv_self_update()
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LLAMA_API void llama_kv_self_defrag(struct llama_context * ctx);
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LLAMA_API DEPRECATED(void llama_kv_self_defrag(struct llama_context * ctx),
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"simply remove this call, the context will automatically decide when to do a defragmentation based on 'defrag_thold'");
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// Check if the context supports KV cache shifting
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LLAMA_API bool llama_kv_self_can_shift(const struct llama_context * ctx);
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// Apply the KV cache updates (such as K-shifts, defragmentation, etc.)
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LLAMA_API void llama_kv_self_update(struct llama_context * ctx);
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LLAMA_API DEPRECATED(void llama_kv_self_update(struct llama_context * ctx),
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"simply remove this call, updates are applied lazily on the next llama_decode()");
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//
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// State / sessions
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