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-rw-r--r--llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h221
1 files changed, 221 insertions, 0 deletions
diff --git a/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h b/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h
new file mode 100644
index 0000000..289f4b7
--- /dev/null
+++ b/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h
@@ -0,0 +1,221 @@
+#include "ggml-impl.h"
+#include "apir_cs.h"
+#include "apir_cs_rpc.h"
+
+// ggml_buffer_to_apir_host_handle(ggml_backend_buffer_t buffer);
+
+static inline void apir_encode_ggml_buffer_host_handle(apir_encoder * enc,
+ const apir_buffer_host_handle_t * handle);
+
+static inline ggml_backend_buffer_t apir_decode_ggml_buffer(apir_decoder * dec);
+
+/* apir_rpc_tensor */
+
+static inline void apir_encode_rcp_tensor(apir_encoder * enc, const apir_rpc_tensor * apir_rpc_tensor) {
+ size_t apir_rpc_tensor_size = sizeof(*apir_rpc_tensor);
+ apir_encode(enc, apir_rpc_tensor_size, apir_rpc_tensor, apir_rpc_tensor_size);
+}
+
+static inline apir_rpc_tensor * apir_decode_apir_rpc_tensor_inplace(apir_decoder * dec) {
+ size_t apir_rpc_tensor_size = sizeof(apir_rpc_tensor);
+
+ return (apir_rpc_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, apir_rpc_tensor_size);
+}
+
+static inline apir_rpc_tensor * apir_decode_apir_rpc_tensor_array_inplace(apir_decoder * dec,
+ uint32_t n_tensors) {
+ size_t apir_rpc_tensor_size = sizeof(apir_rpc_tensor) * n_tensors;
+
+ return (apir_rpc_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, apir_rpc_tensor_size);
+}
+
+/* ggml_tensor */
+
+static inline void apir_encode_ggml_tensor(apir_encoder * enc, const ggml_tensor * tensor) {
+ apir_rpc_tensor serialized = apir_serialize_tensor(tensor);
+
+ apir_encode_rcp_tensor(enc, &serialized);
+}
+
+static inline const ggml_tensor * apir_decode_ggml_tensor(apir_decoder * dec) {
+ const apir_rpc_tensor * apir_rpc_tensor = apir_decode_apir_rpc_tensor_inplace(dec);
+
+ if (!apir_rpc_tensor) {
+ return NULL;
+ }
+
+ ggml_init_params params{
+ /*.mem_size =*/ ggml_tensor_overhead(),
+ /*.mem_buffer =*/ NULL,
+ /*.no_alloc =*/ true,
+ };
+
+ ggml_context * ctx = ggml_init(params);
+
+ const ggml_tensor * tensor = apir_deserialize_tensor(ctx, apir_rpc_tensor);
+
+ return tensor;
+}
+
+/* *** ggml_backend_buffer_type_t *** */
+
+// ggml_backend_buffer_type_t is a POINTER (to a struct).
+// Only the host pointer is shared between the host and guest.
+// The guest stores it in `buft->context`.
+// The host simply writes the pointer address in the buffer variable.
+
+static inline void apir_encode_ggml_buffer_type(apir_encoder * enc, ggml_backend_buffer_type_t buft) {
+ apir_buffer_type_host_handle_t handle = ggml_buffer_type_to_apir_handle(buft);
+ apir_encoder_write(enc, sizeof(handle), &handle, sizeof(handle));
+}
+
+static inline ggml_backend_buffer_type_t apir_decode_ggml_buffer_type(apir_decoder * dec) {
+ apir_buffer_type_host_handle_t handle;
+
+ apir_decoder_read(dec, sizeof(handle), &handle, sizeof(handle));
+
+ return (ggml_backend_buffer_type_t) handle;
+}
+
+static inline void apir_encode_apir_buffer_type_host_handle(apir_encoder * enc, apir_buffer_type_host_handle_t handle) {
+ apir_encoder_write(enc, sizeof(handle), &handle, sizeof(handle));
+}
+
+static inline apir_buffer_type_host_handle_t apir_decode_apir_buffer_type_host_handle(apir_decoder * dec) {
+ apir_buffer_type_host_handle_t handle;
+
+ apir_decoder_read(dec, sizeof(handle), &handle, sizeof(handle));
+
+ return handle;
+}
+
+/* *** ggml_backend_type_t *** */
+
+// ggml_backend_buffer_t is a POINTER.
+// same logic as for ggml_backend_buffer_type_t
+
+static inline void apir_encode_ggml_buffer(apir_encoder * enc, const ggml_backend_buffer_t buffer) {
+ apir_buffer_host_handle_t handle = BUFFER_TO_HOST_HANDLE(buffer);
+ apir_encoder_write(enc, sizeof(handle), &handle, sizeof(handle));
+}
+
+static inline ggml_backend_buffer_t apir_decode_ggml_buffer(apir_decoder * dec) {
+ ggml_backend_buffer_t buffer;
+ size_t buffer_ptr_size = sizeof(buffer);
+
+ apir_decoder_read(dec, buffer_ptr_size, &buffer, buffer_ptr_size);
+
+ return buffer;
+}
+
+/* enum ggml_status */
+
+static inline void apir_encode_ggml_status(apir_encoder * enc, const ggml_status * status) {
+ apir_encoder_write(enc, sizeof(*status), status, sizeof(*status));
+}
+
+static inline void apir_decode_ggml_status(apir_decoder * dec, ggml_status * status) {
+ apir_decoder_read(dec, sizeof(*status), status, sizeof(*status));
+}
+
+/* virtgpu_shmem */
+
+static inline void apir_encode_virtgpu_shmem_res_id(apir_encoder * enc, uint32_t shmem_res_id) {
+ apir_encode_uint32_t(enc, &shmem_res_id);
+}
+
+static inline void apir_decode_virtgpu_shmem_res_id(apir_decoder * dec, uint32_t * shmem_res_id) {
+ apir_decode_uint32_t(dec, shmem_res_id);
+}
+
+/* ggml_cgraph */
+
+static inline size_t apir_serialize_ggml_cgraph(ggml_cgraph * cgraph, std::vector<uint8_t> & cgraph_data) {
+ apir_serialize_graph(cgraph, cgraph_data);
+
+ return cgraph_data.size();
+}
+
+static inline void apir_encode_cgraph_data(apir_encoder * enc, std::vector<uint8_t> & cgraph_data) {
+ size_t cgraph_size = cgraph_data.size();
+
+ apir_encode(enc, cgraph_size, cgraph_data.data(), cgraph_size);
+}
+
+static inline ggml_cgraph * apir_decode_ggml_cgraph(apir_decoder * dec, size_t cgraph_size) {
+ GGML_UNUSED(cgraph_size);
+
+ uint32_t n_nodes;
+ apir_decode_uint32_t(dec, &n_nodes);
+ const uint64_t * nodes = apir_decode_uint64_t_array_inplace(dec, n_nodes);
+
+ uint32_t n_tensors;
+ apir_decode_uint32_t(dec, &n_tensors);
+ const apir_rpc_tensor * tensors = apir_decode_apir_rpc_tensor_array_inplace(dec, n_tensors);
+
+ return apir_deserialize_graph(n_nodes, n_tensors, tensors, nodes);
+}
+
+static inline void apir_encode_ggml_buffer_handle(apir_encoder * enc, const apir_buffer_host_handle_t * handle) {
+ apir_encoder_write(enc, sizeof(*handle), &handle, sizeof(*handle));
+}
+
+static inline void apir_encode_ggml_tensor_inline(apir_encoder * enc, const ggml_tensor * tensor) {
+ size_t tensor_size = sizeof(*tensor);
+
+ if (tensor->extra) {
+ GGML_ABORT("%s: Cannot pass tensors with extra", __func__);
+ }
+
+ if (tensor->src[0] && tensor->buffer) {
+ static int first = 1;
+ if (first) {
+ GGML_LOG_WARN("%s: Cannot pass tensors with src and buffer\n", __func__);
+ first = 0;
+ }
+ }
+
+ apir_encoder_write(enc, tensor_size, tensor, tensor_size);
+
+ // tensor->data is a pointer inside the device buffer. No need to touch it
+ // tensor->buffer is a pointer to a buffer. Encoding the buffer handle in sequence.
+ // (could also make a copy of the tensor, and update locally.)
+
+ if (tensor->buffer) {
+ apir_buffer_host_handle_t buffer_handle = ggml_buffer_to_apir_handle(tensor->buffer);
+ apir_encode_ggml_buffer_handle(enc, &buffer_handle);
+ }
+
+ if (tensor->view_src) {
+ apir_encoder_write(enc, tensor_size, tensor->view_src, tensor_size);
+ }
+
+ for (int i = 0; tensor->src[i]; i++) {
+ const ggml_tensor * tensor_src = tensor->src[i];
+ apir_encoder_write(enc, tensor_size, tensor_src, tensor_size);
+ }
+}
+
+static inline const ggml_tensor * apir_decode_ggml_tensor_inplace(apir_decoder * dec) {
+ // it safe to remove the `const` qualifier here, we *do* want to
+ // modify the shared memory data to fix the `src` pointers.
+ ggml_tensor * tensor = (ggml_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, sizeof(ggml_tensor));
+
+ // tensor->data is a pointer inside the device buffer. No need to touch it
+ // tensor->buffer is a pointer to a buffer. Decode the buffer handle encoded in sequence.
+ if (tensor->buffer) {
+ tensor->buffer = apir_decode_ggml_buffer(dec);
+ }
+
+ if (tensor->view_src) {
+ ggml_tensor * tensor_view_src = (ggml_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, sizeof(ggml_tensor));
+ tensor->view_src = tensor_view_src;
+ }
+
+ for (int i = 0; tensor->src[i]; i++) {
+ ggml_tensor * tensor_src = (ggml_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, sizeof(ggml_tensor));
+ tensor->src[i] = tensor_src; // overwrite op->src[i] pointer with the actual location of the src tensor
+ }
+
+ return tensor;
+}