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https://github.com/LostRuins/koboldcpp.git
synced 2026-09-19 09:15:18 +02:00
rephrase tensor moved warning, cleanup and prepare for ci
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+9
-6
@@ -7825,6 +7825,7 @@ static bool llm_load_tensors(
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}
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int n_moved_tensors = 0;
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int n_total_tensors = 0;
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ggml_tensor * first_moved_tensor = nullptr;
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ggml_backend_buffer_type_t first_moved_from_buft = nullptr;
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ggml_backend_buffer_type_t first_moved_to_buft = nullptr;
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@@ -7909,6 +7910,7 @@ static bool llm_load_tensors(
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first_moved_to_buft = buft;
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}
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}
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n_total_tensors++;
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ggml_context * ctx = ctx_for_buft(buft);
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@@ -9732,12 +9734,13 @@ static bool llm_load_tensors(
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throw std::runtime_error("unknown architecture");
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}
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if (n_moved_tensors > 1) { //only warn if more than 1 moved tensor
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LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %d others) cannot be used with preferred buffer type %s, using %s instead\n",
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__func__, first_moved_tensor->name, ggml_type_name(first_moved_tensor->type), n_moved_tensors - 1,
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ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft));
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LLAMA_LOG_DEBUG("(This is not an error, it just means some tensors will use CPU instead.)\n");
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}
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// if (n_moved_tensors > 1) { //only warn if more than 1 moved tensor
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// LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %d others) cannot be used with preferred buffer type %s, using %s instead\n",
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// __func__, first_moved_tensor->name, ggml_type_name(first_moved_tensor->type), n_moved_tensors - 1,
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// ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft));
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// LLAMA_LOG_DEBUG("(This is not an error, it just means some tensors will use CPU instead.)\n");
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// }
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LLAMA_LOG_DEBUG("%s: relocated tensors: %d of %d\n", __func__, n_moved_tensors, n_total_tensors);
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}
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ml.done_getting_tensors();
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