context : fix off-by-one comparisons to n_gpu_layers (#24208)
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@@ -341,7 +341,7 @@ llama_context::llama_context(
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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 =
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bool pipeline_parallel =
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model.n_devices() > 1 &&
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model.n_devices() > 1 &&
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model.n_gpu_layers() > model.hparams.n_layer() &&
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model.n_gpu_layers() > model.hparams.n_layer_all &&
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model.split_mode() == LLAMA_SPLIT_MODE_LAYER &&
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model.split_mode() == LLAMA_SPLIT_MODE_LAYER &&
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cparams.offload_kqv &&
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cparams.offload_kqv &&
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!model.has_tensor_overrides();
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!model.has_tensor_overrides();
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@@ -2351,7 +2351,7 @@ llm_graph_cb llama_context::graph_get_cb() const {
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// norm may be automatically assigned to the backend of the previous layer, increasing data transfer between backends
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// norm may be automatically assigned to the backend of the previous layer, increasing data transfer between backends
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// FIXME: fix in ggml_backend_sched
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// FIXME: fix in ggml_backend_sched
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const bool full_offload = model.n_gpu_layers() > model.hparams.n_layer();
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const bool full_offload = model.n_gpu_layers() > model.hparams.n_layer_all;
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if (ubatch.n_tokens < 32 || full_offload) {
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if (ubatch.n_tokens < 32 || full_offload) {
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if (il != -1 && strcmp(name, "norm") == 0) {
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if (il != -1 && strcmp(name, "norm") == 0) {
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const auto & dev_layer = model.dev_layer(il);
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const auto & dev_layer = model.dev_layer(il);
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