GGML_ASSERT(ggml_is_contiguous(tensor));
const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
- GGML_ASSERT(split_state.n_segments == 1);
+
+ if (split_state.n_segments != 1) {
+ GGML_ASSERT(split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS);
+ GGML_ASSERT(offset == 0);
+ GGML_ASSERT(size == ggml_nbytes(tensor));
+ GGML_ASSERT(tensor->ne[3] == 1);
+ size_t offset_data = 0;
+ std::vector<size_t> simple_offsets(n_bufs, 0);
+ if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_0) {
+ GGML_ASSERT(tensor->ne[2] == 1);
+ const int64_t blck_size = ggml_blck_size(tensor->type);
+ for (size_t s = 0; s < split_state.n_segments; s++) {
+ for (size_t j = 0; j < n_bufs; j++) {
+ const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+ GGML_ASSERT(split_state.ne[s*n_bufs + j] % blck_size == 0);
+ const size_t nbytes = split_state.ne[s*n_bufs + j]/blck_size * tensor->nb[0];
+ ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data, simple_offsets[j], nbytes,
+ tensor->ne[1], simple_tensor->nb[1], tensor->nb[1]);
+ offset_data += nbytes;
+ simple_offsets[j] += nbytes;
+ }
+ }
+ GGML_ASSERT(offset_data*tensor->ne[1] == size);
+ return;
+ }
+ GGML_ASSERT(split_state.axis == GGML_BACKEND_SPLIT_AXIS_1);
+ for (size_t s = 0; s < split_state.n_segments; s++) {
+ for (size_t j = 0; j < n_bufs; j++) {
+ const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+ const size_t nbytes = split_state.ne[s*n_bufs + j] * tensor->nb[1];
+ ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data, simple_offsets[j], nbytes,
+ tensor->ne[2], simple_tensor->nb[2], tensor->nb[2]);
+ offset_data += nbytes;
+ simple_offsets[j] += nbytes;
+ }
+ }
+ GGML_ASSERT(offset_data*tensor->ne[2] == size);
+ return;
+ }
switch (split_state.axis) {
case GGML_BACKEND_SPLIT_AXIS_0: