feat: use pretty-progress for tensor loading (#516)
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d50473dc49
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@ -1748,9 +1748,11 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, ggml_backend
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}
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return true;
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};
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int tensor_count = 0;
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int64_t t1 = ggml_time_ms();
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for (auto& tensor_storage : processed_tensor_storages) {
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if (tensor_storage.file_index != file_index) {
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++tensor_count;
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continue;
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}
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ggml_tensor* dst_tensor = NULL;
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@ -1762,6 +1764,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, ggml_backend
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}
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if (dst_tensor == NULL) {
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++tensor_count;
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continue;
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}
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@ -1828,6 +1831,9 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, ggml_backend
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ggml_backend_tensor_set(dst_tensor, convert_buffer.data(), 0, ggml_nbytes(dst_tensor));
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}
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}
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int64_t t2 = ggml_time_ms();
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pretty_progress(++tensor_count, processed_tensor_storages.size(), (t2 - t1) / 1000.0f);
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t1 = t2;
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}
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if (zip != NULL) {
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2
util.cpp
2
util.cpp
@ -348,7 +348,7 @@ void pretty_progress(int step, int steps, float time) {
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}
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}
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progress += "|";
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printf(time > 1.0f ? "\r%s %i/%i - %.2fs/it" : "\r%s %i/%i - %.2fit/s",
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printf(time > 1.0f ? "\r%s %i/%i - %.2fs/it" : "\r%s %i/%i - %.2fit/s\033[K",
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progress.c_str(), step, steps,
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time > 1.0f || time == 0 ? time : (1.0f / time));
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fflush(stdout); // for linux
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