vbatts/llama.cpp
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examples : make n_ctx warning work again (#3066)

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This was broken by commit e36ecdcc ("build : on Mac OS enable Metal by
default (#2901)").
This commit is contained in:
Cebtenzzre 2023-09-08 11:43:35 -04:00 • committed by GitHub
parent 94f10b91ed
commit e64f5b5578
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GPG key ID: 4AEE18F83AFDEB23
5 changed files with 33 additions and 19 deletions
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11
examples/embedding/embedding.cpp
View file

@ -17,11 +17,6 @@ int main(int argc, char ** argv) {
params.embedding = true;
if (params.n_ctx > 2048) {
fprintf(stderr, "%s: warning: model might not support context sizes greater than 2048 tokens (%d specified);"
"expect poor results\n", __func__, params.n_ctx);
}
fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT);
if (params.seed == LLAMA_DEFAULT_SEED) {
@ -47,6 +42,12 @@ int main(int argc, char ** argv) {
return 1;
}
const int n_ctx_train = llama_n_ctx_train(ctx);
if (params.n_ctx > n_ctx_train) {
fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
__func__, n_ctx_train, params.n_ctx);
}
// print system information
{
fprintf(stderr, "\n");

6
examples/main/main.cpp
View file

@ -182,8 +182,10 @@ int main(int argc, char ** argv) {
return 1;
}
if (params.n_ctx > llama_n_ctx(ctx)) {
LOG_TEE("%s: warning: base model only supports context sizes no greater than %d tokens (%d specified)\n", __func__, llama_n_ctx(ctx), params.n_ctx);
const int n_ctx_train = llama_n_ctx_train(ctx);
if (params.n_ctx > n_ctx_train) {
LOG_TEE("%s: warning: model was trained on only %d context tokens (%d specified)\n",
__func__, n_ctx_train, params.n_ctx);
} else if (params.n_ctx < 8) {
LOG_TEE("%s: warning: minimum context size is 8, using minimum size.\n", __func__);
params.n_ctx = 8;

7
examples/perplexity/perplexity.cpp
View file

@ -693,9 +693,10 @@ int main(int argc, char ** argv) {
return 1;
}
if (params.n_ctx > llama_n_ctx(ctx)) {
fprintf(stderr, "%s: warning: model might not support context sizes greater than %d tokens (%d specified);"
"expect poor results\n", __func__, llama_n_ctx(ctx), params.n_ctx);
const int n_ctx_train = llama_n_ctx_train(ctx);
if (params.n_ctx > n_ctx_train) {
fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
__func__, n_ctx_train, params.n_ctx);
}
// print system information