return ret;
}
-static size_t checked_div(size_t a, size_t b) {
- if (b == 0 || a % b != 0) {
- throw format("error dividing %zu / %zu", a, b);
- }
- return a / b;
-}
-
static std::string llama_format_tensor_shape(const std::vector<uint32_t> & ne) {
char buf[256];
snprintf(buf, sizeof(buf), "%5u", ne.at(0));
// self-attention
{
// compute Q and K and RoPE them
- struct ggml_tensor * Qcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model.layers[il].wq, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0);
- struct ggml_tensor * Kcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model.layers[il].wk, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0);
+ struct ggml_tensor * Qcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model.layers[il].wq, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0, 0);
+ struct ggml_tensor * Kcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model.layers[il].wk, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0, 0);
ggml_set_name(Qcur, "Qcur");
ggml_set_name(Kcur, "Kcur");