struct rpc_msg_get_alloc_size_req {
uint32_t device;
rpc_tensor tensor;
+ rpc_tensor srcs[GGML_MAX_SRC];
};
struct rpc_msg_get_alloc_size_rsp {
static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
rpc_tensor result;
+ if (!tensor) {
+ memset(&result, 0, sizeof(result));
+ return result;
+ }
+
result.id = reinterpret_cast<uint64_t>(tensor);
result.type = tensor->type;
if (tensor->buffer) {
}
static size_t ggml_backend_rpc_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) {
+ // should we query the remote server for the actual size
+ bool rpc_get = false;
+
// See comments in init_tensor.
- if (ggml_is_quantized(tensor->type) && (tensor->ne[0] % 512 != 0) && (tensor->view_src == nullptr)) {
+ rpc_get |= ggml_is_quantized(tensor->type) && (tensor->ne[0] % 512 != 0) && (tensor->view_src == nullptr);
+
+ // ops that require additional memory for fleeting data on certain backends
+ // ref: https://github.com/ggml-org/llama.cpp/pull/15966
+ rpc_get |= tensor->op == GGML_OP_FLASH_ATTN_EXT;
+ rpc_get |= tensor->op == GGML_OP_MUL_MAT_ID;
+
+ if (rpc_get) {
ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
auto sock = get_socket(buft_ctx->endpoint);
- rpc_msg_get_alloc_size_req request;
- request.device = buft_ctx->device;
- request.tensor = serialize_tensor(tensor);
+ rpc_msg_get_alloc_size_req request = {
+ /*.device =*/ buft_ctx->device,
+ /*.tensor =*/ serialize_tensor(tensor),
+ /*.srcs =*/ {},
+ };
+
+ // .get_alloc_size could be a function of the tensor's srcs, so we must serialize them as well
+ for (int i = 0; i < GGML_MAX_SRC; i++) {
+ request.srcs[i] = serialize_tensor(tensor->src[i]);
+ }
+ // TODO: cache the alloc responses to avoid extra RPC calls?
rpc_msg_get_alloc_size_rsp response;
bool status = send_rpc_cmd(sock, RPC_CMD_GET_ALLOC_SIZE, &request, sizeof(request), &response, sizeof(response));
RPC_STATUS_ASSERT(status);
return response.alloc_size;
- } else {
- return ggml_nbytes(tensor);
}
+
+ return ggml_nbytes(tensor);
}
static ggml_backend_buffer_type_i ggml_backend_rpc_buffer_type_interface = {
}
ggml_backend_buffer_type_t buft;
struct ggml_init_params params {
- /*.mem_size =*/ ggml_tensor_overhead(),
+ /*.mem_size =*/ ggml_tensor_overhead()*(1 + GGML_MAX_SRC),
/*.mem_buffer =*/ NULL,
/*.no_alloc =*/ true,
};
ggml_context_ptr ctx_ptr { ggml_init(params) };
GGML_ASSERT(ctx_ptr != nullptr);
ggml_context * ctx = ctx_ptr.get();
- ggml_tensor * tensor = deserialize_tensor(ctx, &request.tensor);
+ ggml_tensor * tensor = deserialize_tensor(ctx, &request.tensor);
if (tensor == nullptr) {
GGML_LOG_ERROR("Null tensor pointer passed to server get_alloc_size function.\n");
return false;
}
+ for (int i = 0; i < GGML_MAX_SRC; i++) {
+ if (request.srcs[i].id != 0) {
+ tensor->src[i] = deserialize_tensor(ctx, &request.srcs[i]);
+ }
+ }
+
LOG_DBG("[%s] device: %d, buffer: %p, data: %p\n", __func__, dev_id, (void*)tensor->buffer, tensor->data);
if (tensor->buffer == nullptr) {
//No buffer allocated.