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graph : fix reuse check for recurrent inputs
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@@ -263,6 +263,9 @@ bool llm_graph_input_rs::can_reuse(const llm_graph_params & params) {
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res &= s_copy_main->ne[0] == params.ubatch.n_seqs;
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res &= s_copy_extra->ne[0] == mctx->get_n_rs() - params.ubatch.n_seqs;
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res &= head == mctx->get_head();
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res &= rs_z == mctx->get_rs_z();
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return res;
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}
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@@ -509,6 +512,9 @@ bool llm_graph_input_mem_hybrid::can_reuse(const llm_graph_params & params) {
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res &= inp_rs->s_copy_main->ne[0] == params.ubatch.n_seqs;
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res &= inp_rs->s_copy_extra->ne[0] == mctx->get_recr()->get_n_rs() - params.ubatch.n_seqs;
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res &= inp_rs->head == mctx->get_recr()->get_head();
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res &= inp_rs->rs_z == mctx->get_recr()->get_rs_z();
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return res;
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}
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@@ -1893,6 +1899,9 @@ static std::unique_ptr<llm_graph_input_rs> build_rs_inp_impl(
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inp->s_copy_main = ggml_view_1d(ctx0, inp->s_copy, n_seqs, 0);
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inp->s_copy_extra = ggml_view_1d(ctx0, inp->s_copy, n_rs - n_seqs, n_seqs * inp->s_copy->nb[0]);
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inp->head = mctx_cur->get_head();
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inp->rs_z = mctx_cur->get_rs_z();
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return inp;
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}
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@@ -1961,7 +1970,7 @@ ggml_tensor * llm_graph_context::build_rwkv_token_shift_store(
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llm_graph_input_mem_hybrid * llm_graph_context::build_inp_mem_hybrid() const {
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const auto * mctx_cur = static_cast<const llama_memory_hybrid_context *>(mctx);
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auto inp_rs = build_rs_inp_impl(ctx0, ubatch, mctx_cur->get_recr());
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auto inp_rs = build_rs_inp_impl (ctx0, ubatch, mctx_cur->get_recr());
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auto inp_attn = build_attn_inp_kv_impl(ctx0, ubatch, hparams, cparams, mctx_cur->get_attn());
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auto inp = std::make_unique<llm_graph_input_mem_hybrid>(cparams, std::move(inp_attn), std::move(inp_rs), mctx_cur);
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@@ -234,6 +234,10 @@ public:
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ggml_tensor * s_copy_extra; // I32 [n_rs - n_seqs]
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const llama_memory_recurrent_context * mctx;
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// used in view offsets, need to match for valid graph reuse
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uint32_t head;
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int32_t rs_z;
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};
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class llm_graph_input_cross_embd : public llm_graph_input_i {
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