cuda : fix supports_op condition for get_rows when number of blocks is too large

ggml/include/ggml.h

@@ -1528,7 +1528,11 @@ extern "C" {
             struct ggml_context * ctx,
             struct ggml_tensor  * a);
 
-    // supports 3D: a->ne[2] == b->ne[1]
+    // supports 4D a:
+    // a     [n_embd, ne1, ne2, ne3]
+    // b I32 [n_rows, ne2, ne3, 1]
+    //
+    // return [n_embd, n_rows, ne2, ne3]
     GGML_API struct ggml_tensor * ggml_get_rows(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,  // data

ggml/src/ggml-cuda/ggml-cuda.cu

@@ -3392,6 +3392,10 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
             return op->type == GGML_TYPE_F32 && op->src[0]->type == GGML_TYPE_F32 && op->src[1]->type == GGML_TYPE_F32;
         case GGML_OP_GET_ROWS:
             {
+                // FIXME: https://github.com/ggml-org/llama.cpp/pull/15868
+                if (op->src[1]->ne[1]*op->src[1]->ne[2] > 65535) {
+                    return false;
+                }
                 switch (op->src[0]->type) {
                     case GGML_TYPE_F16:
                     case GGML_TYPE_F32:

ggml/src/ggml.c

@@ -3623,6 +3623,7 @@ struct ggml_tensor * ggml_get_rows(
         struct ggml_tensor  * a,
         struct ggml_tensor  * b) {
     GGML_ASSERT(a->ne[2] == b->ne[1]);
+    GGML_ASSERT(a->ne[3] == b->ne[2]);
     GGML_ASSERT(b->ne[3] == 1);
     GGML_ASSERT(b->type == GGML_TYPE_I32);