cont : add warning about unsupported ops
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@ -28,6 +28,7 @@
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#include <numeric>
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#include <functional>
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// TODO: allow to pass callback from user code
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struct clip_logger_state g_logger_state = {GGML_LOG_LEVEL_CONT, clip_log_callback_default, NULL};
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enum ffn_op_type {
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@ -3188,6 +3189,11 @@ struct clip_model_loader {
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size / 1024.0 / 1024.0);
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}
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}
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const int n_splits = ggml_backend_sched_get_n_splits(ctx_clip.sched.get());
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const int n_nodes = ggml_graph_n_nodes(gf);
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LOG_INF("%s: graph splits = %d, nodes = %d\n", __func__, n_splits, n_nodes);
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}
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void get_bool(const std::string & key, bool & output, bool required = true) {
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@ -4373,6 +4379,15 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
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return false; // only support batch size of 1
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}
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if (ggml_backend_sched_get_n_splits(ctx->sched.get()) > 1) {
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LOG_WRN("%s: *****************************************************************\n", __func__);
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LOG_WRN("%s: WARNING: the CLIP graph uses unsupported operators by the backend\n", __func__);
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LOG_WRN("%s: the performance will be suboptimal \n", __func__);
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LOG_WRN("%s: \n", __func__);
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LOG_WRN("%s: ref: https://github.com/ggml-org/llama.cpp/pull/16837#issuecomment-3461676118\n", __func__);
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LOG_WRN("%s: *****************************************************************\n", __func__);
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}
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// build the inference graph
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ctx->debug_print_tensors.clear();
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ggml_backend_sched_reset(ctx->sched.get());
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