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llama : disable pipeline parallelism with nkvo (#7265)
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@ -15849,7 +15849,11 @@ struct llama_context * llama_new_context_with_model(
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ctx->buf_compute_meta.resize(ggml_tensor_overhead()*LLAMA_MAX_NODES + ggml_graph_overhead_custom(LLAMA_MAX_NODES, false));
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ctx->buf_compute_meta.resize(ggml_tensor_overhead()*LLAMA_MAX_NODES + ggml_graph_overhead_custom(LLAMA_MAX_NODES, false));
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// enabling pipeline parallelism in the scheduler increases memory usage, so it is only done when necessary
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// enabling pipeline parallelism in the scheduler increases memory usage, so it is only done when necessary
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bool pipeline_parallel = llama_get_device_count() > 1 && model->n_gpu_layers > (int)model->hparams.n_layer && model->split_mode == LLAMA_SPLIT_MODE_LAYER;
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bool pipeline_parallel =
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llama_get_device_count() > 1 &&
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model->n_gpu_layers > (int)model->hparams.n_layer &&
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model->split_mode == LLAMA_SPLIT_MODE_LAYER &&
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params.offload_kqv;
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#ifndef GGML_USE_CUDA
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#ifndef GGML_USE_CUDA
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// pipeline parallelism requires support for async compute and events
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// pipeline parallelism requires support for async compute and events
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// currently this is only implemented in the CUDA backend
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// currently this is only implemented in the CUDA backend
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