fix mul_mat_id() for new input, make the ut pass (llama/6682)

ggml-sycl.cpp

@@ -15996,73 +15996,76 @@ static void ggml_sycl_mul_mat_id_sycl(ggml_tensor * dst) {
 static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
                                  const ggml_tensor *src1,
                                  ggml_tensor *dst) try {
-#if 0
-    ggml_sycl_mul_mat_id_sycl(dst);
-    // TODO: mmq/mmv support
-#endif
+    GGML_ASSERT(src0->backend != GGML_BACKEND_TYPE_GPU_SPLIT &&
+                "mul_mat_id does not support split buffers");
+    const ggml_tensor *ids = dst->src[2];
+    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
 
-    const int64_t nb11 = src1->nb[1];
-    const int64_t nb1  =  dst->nb[1];
+    const size_t nb11 = src1->nb[1];
+    const size_t nb1 = dst->nb[1];
 
-    const struct ggml_tensor * ids = src0;
-    const int32_t id = ((int32_t *) dst->op_params)[0];
-    const int32_t n_as = ((int32_t *) dst->op_params)[1];
+    const int32_t id = ((int32_t *)dst->op_params)[0];
+    const int32_t n_as = src0->ne[2];
 
     std::vector<char> ids_host(ggml_nbytes(ids));
+    const char *ids_dev = (const char *)ids->data;
 
-    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
-
-    if (ids->backend == GGML_BACKEND_TYPE_GPU) {
-        const char * ids_dev = (const char *)((const ggml_tensor_extra_gpu *)ids->extra)->data_device[g_main_device];
-        SYCL_CHECK(CHECK_TRY_ERROR(
-            stream->memcpy(ids_host.data(), ids_dev, ggml_nbytes(ids)).wait()));
-        // SYCL_CHECK(CHECK_TRY_ERROR(stream->wait()));
-    } else {
-        memcpy(ids_host.data(), ids->data, ggml_nbytes(ids));
-    }
+    SYCL_CHECK(CHECK_TRY_ERROR(
+        stream->memcpy(ids_host.data(), ids_dev, ggml_nbytes(ids))));
+    SYCL_CHECK(CHECK_TRY_ERROR(stream->wait()));
 
-    const ggml_tensor_extra_gpu * src1_extra = (const ggml_tensor_extra_gpu *) src1->extra;
-    const ggml_tensor_extra_gpu * dst_extra = (const ggml_tensor_extra_gpu *) dst->extra;
+    const ggml_tensor_extra_gpu *src0_extra =
+        (const ggml_tensor_extra_gpu *)src0->extra;
+    const ggml_tensor_extra_gpu *src1_extra =
+        (const ggml_tensor_extra_gpu *)src1->extra;
+    const ggml_tensor_extra_gpu *dst_extra =
+        (const ggml_tensor_extra_gpu *)dst->extra;
 
+    ggml_tensor_extra_gpu src0_row_extra;
     ggml_tensor_extra_gpu src1_row_extra;
     ggml_tensor_extra_gpu dst_row_extra;
 
+    ggml_tensor src0_row = *src0;
     ggml_tensor src1_row = *src1;
     ggml_tensor dst_row = *dst;
 
     src1_row.backend = GGML_BACKEND_TYPE_GPU;
     dst_row.backend  = GGML_BACKEND_TYPE_GPU;
 
+    src0_row.extra = &src0_row_extra;
     src1_row.extra = &src1_row_extra;
     dst_row.extra = &dst_row_extra;
 
-    char * src1_original = src1->backend == GGML_BACKEND_TYPE_CPU ?
-        (char *) src1->data : (char *) src1_extra->data_device[g_main_device];
-    char * dst_original  =  dst->backend == GGML_BACKEND_TYPE_CPU ?
-        (char *)  dst->data : (char *)  dst_extra->data_device[g_main_device];
+    char *src0_original = src1->backend == GGML_BACKEND_TYPE_CPU
+                              ? (char *)src0->data
+                              : (char *)src0_extra->data_device[g_main_device];
+    char *src1_original = src1->backend == GGML_BACKEND_TYPE_CPU
+                              ? (char *)src1->data
+                              : (char *)src1_extra->data_device[g_main_device];
+    char *dst_original = dst->backend == GGML_BACKEND_TYPE_CPU
+                             ? (char *)dst->data
+                             : (char *)dst_extra->data_device[g_main_device];
 
-    if (src1->ne[1] == 1) {
-        GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-        GGML_ASSERT(dst->backend  == GGML_BACKEND_TYPE_GPU);
+    src0_row.ne[2] = 1;
+    src0_row.ne[3] = 1;
+    src0_row.nb[3] = src0->nb[2];
 
+    if (src1->ne[1] == 1) {
         for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
-            //int32_t row_id;
-            //SYCL_CHECK(syclMemcpyAsync(&row_id, ids_dev + i01*ids->nb[1] + id*ids->nb[0], sizeof(int32_t), syclMemcpyDeviceToHost, g_syclStreams[g_main_device][0]));
-            //SYCL_CHECK(syclStreamSynchronize(g_syclStreams[g_main_device][0]));
-
-            const int32_t row_id = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]);
+            const int32_t row_id =
+                *(const int32_t *)(ids_host.data() + i01 * ids->nb[1] +
+                                   id * ids->nb[0]);
 
             GGML_ASSERT(row_id >= 0 && row_id < n_as);
 
-            const struct ggml_tensor * src0_row = dst->src[row_id + 2];
+            src0_row_extra.data_device[g_main_device] =
+                src0_original + row_id * src0->nb[2];
+            src1_row_extra.data_device[g_main_device] =
+                src1_original + i01 * src1->nb[1];
+            dst_row_extra.data_device[g_main_device] =
+                dst_original + i01 * dst->nb[1];
 
-            src1_row_extra.data_device[g_main_device] = src1_original + i01*src1->nb[1];
-            src1_row.data = (char *) src1->data + i01*src1->nb[1]; // TODO why is this set?
-
-            dst_row_extra.data_device[g_main_device] = dst_original + i01*dst->nb[1];
-            dst_row.data = (char *) dst->data + i01*dst->nb[1]; // TODO why is this set?
-
-            ggml_sycl_mul_mat(src0_row, &src1_row, &dst_row);
+            ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
         }
     } else {
         sycl_pool_alloc<char> src1_contiguous(sizeof(float)*ggml_nelements(src1));
@@ -16072,8 +16075,6 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
         dst_row_extra.data_device[g_main_device]  =  dst_contiguous.get();
 
         for (int32_t row_id = 0; row_id < n_as; ++row_id) {
-            const struct ggml_tensor * src0_row = dst->src[row_id + 2];
-
             int64_t num_src1_rows = 0;
             for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
                 const int32_t row_id_i = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]);
@@ -16086,7 +16087,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
 
                 SYCL_CHECK(CHECK_TRY_ERROR(
                     stream->memcpy(src1_contiguous.get() + num_src1_rows * nb11,
-                                   src1_original + i01 * nb11, nb11).wait()));
+                                   src1_original + i01 * nb11, nb11)));
                 num_src1_rows++;
             }
 
@@ -16094,6 +16095,9 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
                 continue;
             }
 
+            src0_row_extra.data_device[g_main_device] =
+                src0_original + row_id * src0->nb[2];
+
             src1_row.ne[1] = num_src1_rows;
             dst_row.ne[1] = num_src1_rows;
 
@@ -16105,7 +16109,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
             dst_row.nb[2] = num_src1_rows*nb1;
             dst_row.nb[3] = num_src1_rows*nb1;
 
-            ggml_sycl_mul_mat(src0_row, &src1_row, &dst_row);
+            ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
 
             num_src1_rows = 0;
             for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
@@ -16119,7 +16123,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
 
                 SYCL_CHECK(CHECK_TRY_ERROR(stream->memcpy(
                     dst_original + i01 * nb1,
-                    dst_contiguous.get() + num_src1_rows * nb1, nb1).wait()));
+                    dst_contiguous.get() + num_src1_rows * nb1, nb1)));
                 num_src1_rows++;
             }
         }