missing __func__, move imatrix flag set
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2769f35207
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@ -937,13 +937,13 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
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tensor_size/1024.0/1024.0,
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new_size/1024.0/1024.0,
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ggml_type_name(new_type));
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if (!will_require_imatrix && tensor_requires_imatrix(params, tensor, new_type)) {
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will_require_imatrix = true;
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}
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} else {
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new_size = tensor_size;
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LLAMA_LOG_INFO("size = %8.3f MiB\n", new_size/1024.0/1024.0);
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}
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if (!will_require_imatrix && tensor_requires_imatrix(params, tensor, new_type)) {
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will_require_imatrix = true;
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}
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total_size_org += tensor_size;
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total_size_new += new_size;
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continue;
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@ -1072,7 +1072,9 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
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LLAMA_LOG_INFO("%s: model size = %8.2f MiB (%.2f BPW)\n", __func__, total_size_org/1024.0/1024.0, total_size_org*8.0/ml.n_elements);
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LLAMA_LOG_INFO("%s: quant size = %8.2f MiB (%.2f BPW)\n", __func__, total_size_new/1024.0/1024.0, total_size_new*8.0/ml.n_elements);
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if (!params->imatrix && params->dry_run && will_require_imatrix) {
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LLAMA_LOG_WARN("%s: WARNING: dry run completed successfully, but actually completing this quantization will require an imatrix!\n");
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LLAMA_LOG_WARN("%s: WARNING: dry run completed successfully, but actually completing this quantization will require an imatrix!\n",
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__func__
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);
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}
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if (qs.n_fallback > 0) {
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