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Fix incorrect format strings and uninitialized variables. (#4133)
* Fix incorrect format strings and uninitialized variables. * Address comments * Add the missing include statement
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@ -1095,6 +1095,7 @@ struct llama_server_context
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std::lock_guard<std::mutex> lock(mutex_results);
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task_result res;
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res.id = id;
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res.stop = false;
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res.error = true;
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res.result_json = { { "content", error } };
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queue_results.push_back(res);
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@ -1255,6 +1256,7 @@ struct llama_server_context
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std::lock_guard<std::mutex> lock(mutex_tasks);
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task_server task;
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task.id = id_gen++;
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task.target_id = 0;
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task.data = data;
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task.infill_mode = infill;
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task.embedding_mode = embedding;
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@ -1,4 +1,5 @@
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#include <algorithm>
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#include <cinttypes>
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#include <cstddef>
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#include <cstdint>
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#include <limits>
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@ -8057,7 +8058,7 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_
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if (tensor->op == GGML_OP_MUL_MAT) {
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if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) {
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#ifndef NDEBUG
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fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %d, src1->ne[3] = %d - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]);
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fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = " PRId64 ", src1->ne[3] = " PRId64 " - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]);
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#endif
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return false;
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}
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