vbatts/llama.cpp
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remove unrelevant debug code

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Achazwl 2024-05-12 16:40:51 +08:00
parent a76fbcd050
commit f0d7be409d
1 changed files with 0 additions and 12 deletions
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12
llama.cpp
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@ -3311,7 +3311,6 @@ struct llama_model_loader {
ggml_set_name(tensor, ggml_get_name(cur));
n_created++;
printf("%s: created tensor '%s'\n", __func__, ggml_get_name(tensor));
return tensor;
}
@ -3380,8 +3379,6 @@ struct llama_model_loader {
ggml_set_name(tensor, name.c_str());
n_created++;
printf("%s: created tensor '%s'\n", __func__, name.c_str());
return tensor;
}
@ -4796,7 +4793,6 @@ static bool llm_load_tensors(
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese GROK\n");
ml.size_data += ggml_nbytes(model.output);
}
}
@ -4926,7 +4922,6 @@ static bool llm_load_tensors(
if (!model.output) {
model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}); // needs to be on GPU
ml.n_created--; // artificial tensor
printf("created tensor decrese FALCON\n");
ml.size_data += ggml_nbytes(model.output);
}
}
@ -5132,7 +5127,6 @@ static bool llm_load_tensors(
if (!model.output) {
model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}); // needs to be on GPU
ml.n_created--; // artificial tensor
printf("created tensor decrese MPT\n");
ml.size_data += ggml_nbytes(model.output);
}
}
@ -5255,7 +5249,6 @@ static bool llm_load_tensors(
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese QWEN2\n");
ml.size_data += ggml_nbytes(model.output);
}
}
@ -5546,7 +5539,6 @@ static bool llm_load_tensors(
model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}); // same as tok_embd, duplicated to allow offloading
ml.n_created--; // artificial tensor
printf("created tensor decrese GEMMA\n");
ml.size_data += ggml_nbytes(model.output);
const int64_t n_ff = hparams.n_ff;
@ -5587,7 +5579,6 @@ static bool llm_load_tensors(
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese STARCODER2\n");
ml.size_data += ggml_nbytes(model.output);
}
@ -5644,7 +5635,6 @@ static bool llm_load_tensors(
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese MAMBA\n");
ml.size_data += ggml_nbytes(model.output);
}
}
@ -5708,7 +5698,6 @@ static bool llm_load_tensors(
// init output from the input tok embed
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese COMMAND_R\n");
ml.size_data += ggml_nbytes(model.output);
}
@ -5746,7 +5735,6 @@ static bool llm_load_tensors(
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
printf("created tensor decrese OLMO\n");
ml.size_data += ggml_nbytes(model.output);
}
}