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llama : disable pipeline parallelism if compute buffer allocation fails
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@@ -268,9 +268,7 @@ llama_context::llama_context(
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if (pipeline_parallel) {
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LLAMA_LOG_INFO("%s: pipeline parallelism enabled (n_copies=%d)\n", __func__, ggml_backend_sched_get_n_copies(sched.get()));
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}
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}
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if (!hparams.vocab_only) {
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llama_memory_context_ptr mctx;
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if (memory) {
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LLAMA_LOG_DEBUG("%s: reserving full memory module\n", __func__);
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@@ -343,7 +341,14 @@ llama_context::llama_context(
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{
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auto * gf = graph_reserve(n_tokens, n_seqs, n_tokens, mctx.get());
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if (!gf) {
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throw std::runtime_error("failed to allocate compute pp buffers");
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if (pipeline_parallel) {
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LLAMA_LOG_WARN("%s: compute buffer allocation failed, retrying without pipeline parallelism\n", __func__);
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sched.reset(ggml_backend_sched_new(backend_ptrs.data(), backend_buft.data(), backend_ptrs.size(), max_nodes, false, cparams.op_offload));
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gf = graph_reserve(n_tokens, n_seqs, n_tokens, mctx.get());
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}
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if (!gf) {
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throw std::runtime_error("failed to allocate compute pp buffers");
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}
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}
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n_splits_pp = ggml_backend_sched_get_n_splits(sched.get());
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