kv-cache : avoid kv cells copies (#24277)
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@@ -95,13 +95,16 @@ llama_kv_cache::llama_kv_cache(
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const layer_reuse_cb & reuse,
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const layer_share_cb & share) :
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model(model), hparams(hparams), v_trans(v_trans),
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n_seq_max(n_seq_max), n_stream(unified ? 1 : n_seq_max), n_pad(n_pad), n_swa(n_swa), swa_type(swa_type) {
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n_seq_max(n_seq_max), n_stream(unified ? 1 : n_seq_max), n_pad(n_pad), n_swa(n_swa), swa_type(swa_type),
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other(static_cast<llama_kv_cache *>(mem_other)),
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v_cells_impl(other ? other->v_cells_impl : std::make_shared<llama_kv_cells_vec>()),
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v_cells(*v_cells_impl) {
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// shared cells view the source cache's K/V tensors, so the cell count
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// follows the source allocation: a fitted target can be smaller than the
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// draft default and oversized views would overflow the source tensors
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if (mem_other) {
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const uint32_t size_other = static_cast<llama_kv_cache *>(mem_other)->get_size();
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if (other) {
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const uint32_t size_other = other->get_size();
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if (kv_size != size_other) {
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LLAMA_LOG_WARN("%s: kv_size = %u overridden to %u to match the shared source cache\n", __func__, kv_size, size_other);
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kv_size = size_other;
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@@ -173,8 +176,6 @@ llama_kv_cache::llama_kv_cache(
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const bool is_mla = hparams.is_mla();
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other = static_cast<llama_kv_cache *>(mem_other);
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for (uint32_t il = 0; il < n_layer; il++) {
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if (!hparams.has_kv(il)) {
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LLAMA_LOG_DEBUG("%s: layer %3d: does not have KV cache\n", __func__, il);
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@@ -1105,7 +1106,6 @@ llama_kv_cache::slot_info llama_kv_cache::find_slot(const llama_ubatch & ubatch,
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void llama_kv_cache::apply_ubatch(const slot_info & sinfo, const llama_ubatch & ubatch) {
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// TODO: refactor [TAG_KV_CACHE_SHARE_CELLS]
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if (other) {
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v_cells = other->v_cells;
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return;
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}
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