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https://github.com/ggerganov/whisper.cpp.git
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talk-llama : fix build after ggml sync (#1049)
sed -i 's,GGML_BACKEND_CUDA,GGML_BACKEND_GPU,g' examples/talk-llama/llama.cpp
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@ -1002,7 +1002,7 @@ static void llama_model_load_internal(
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}
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}
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#ifdef GGML_USE_CUBLAS
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#ifdef GGML_USE_CUBLAS
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#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CUDA
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#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU
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#else
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#else
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#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CPU
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#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CPU
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#endif
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#endif
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@ -1054,7 +1054,7 @@ static void llama_model_load_internal(
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layer.w2 = ml->get_tensor(layers_i + ".feed_forward.w2.weight", { n_ff, n_embd}, backend);
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layer.w2 = ml->get_tensor(layers_i + ".feed_forward.w2.weight", { n_ff, n_embd}, backend);
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layer.w3 = ml->get_tensor(layers_i + ".feed_forward.w3.weight", {n_embd, n_ff}, backend);
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layer.w3 = ml->get_tensor(layers_i + ".feed_forward.w3.weight", {n_embd, n_ff}, backend);
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if (backend == GGML_BACKEND_CUDA) {
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if (backend == GGML_BACKEND_GPU) {
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vram_total +=
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vram_total +=
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ggml_nbytes(layer.attention_norm) + ggml_nbytes(layer.wq) + ggml_nbytes(layer.wk) +
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ggml_nbytes(layer.attention_norm) + ggml_nbytes(layer.wq) + ggml_nbytes(layer.wk) +
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ggml_nbytes(layer.wv) + ggml_nbytes(layer.wo) + ggml_nbytes(layer.attention_norm) +
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ggml_nbytes(layer.wv) + ggml_nbytes(layer.wo) + ggml_nbytes(layer.attention_norm) +
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@ -1115,7 +1115,7 @@ static void llama_model_load_internal(
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}
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}
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}
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}
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for (llama_load_tensor & lt : ml->tensors_map.tensors) {
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for (llama_load_tensor & lt : ml->tensors_map.tensors) {
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if (lt.ggml_tensor->backend != GGML_BACKEND_CUDA) {
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if (lt.ggml_tensor->backend != GGML_BACKEND_GPU) {
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continue;
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continue;
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}
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}
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if (progress_callback) {
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if (progress_callback) {
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