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SYCL: Migrate away from deprecated ggml_tensor->backend (#10840)
* Migrate to tensor->buffer for checking backend buffer type: 1
* SYCL: common.cpp try to migrate away from tensor->backend
* SYCL: fix assertions and add proper comments
* SYCL: remove extra space
* SYCL: Add back static to ggml_backend_buffer_is_sycl_split function
* SYCL: Add pragma directive to suppress warning spam
* SYCL: Integrate debug logs with GGML_LOG and other fixes
* Revert "SYCL: Integrate debug logs with GGML_LOG and other fixes"
This reverts commit 2607b7de0f
.
Let's keep the current SYCL specific logging mechanism for now
* SYCL: Use GGML_SYCL_DEBUG after reverting
* SYCL: reg_get_proc_address func, update to the current func signature
* SYCL: Refactor SYCL buffer checks in ggml_sycl_cpy_tensor_2d
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@ -11,6 +11,8 @@
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//
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#include "common.hpp"
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#include "ggml-backend-impl.h"
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#include "ggml-impl.h"
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int get_current_device_id() {
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@ -65,9 +67,9 @@ void ggml_sycl_op_flatten(ggml_backend_sycl_context & ctx, const ggml_tensor *sr
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const ggml_sycl_op_flatten_t op) try {
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const bool use_src1 = src1 != nullptr;
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GGML_ASSERT(!use_src1 || src1->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT( dst->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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if(use_src1)
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GGML_ASSERT(strcmp(src1->buffer->buft->iface.get_name(src1->buffer->buft), GGML_SYCL_NAME "_Split") != 0);
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GGML_ASSERT(strcmp(dst->buffer->buft->iface.get_name(dst->buffer->buft), GGML_SYCL_NAME "_Split") != 0);
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// dd = data device
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float * src0_ddf = (float *) src0->data;
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@ -26,7 +26,11 @@
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#define GGML_COMMON_DECL_SYCL
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#define GGML_COMMON_IMPL_SYCL
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/* suppress warning spam */
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#pragma clang diagnostic push
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#pragma clang diagnostic ignored "-Wnested-anon-types"
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#include "ggml-common.h"
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#pragma clang diagnostic pop
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void* ggml_sycl_host_malloc(size_t size);
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void ggml_sycl_host_free(void* ptr);
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@ -288,10 +288,8 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer,
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ggml_tensor *tensor) try {
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ggml_backend_sycl_buffer_context * ctx = (ggml_backend_sycl_buffer_context *)buffer->context;
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if (tensor->view_src != NULL && tensor->view_offs == 0) {
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if (tensor->view_src != NULL) {
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assert(tensor->view_src->buffer->buft == buffer->buft);
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tensor->backend = tensor->view_src->backend;
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tensor->extra = tensor->view_src->extra;
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return;
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}
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@ -539,7 +537,7 @@ ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device) {
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auto dev_count = ggml_backend_sycl_get_device_count();
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if (device>=dev_count or device<0) {
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printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
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GGML_LOG_ERROR("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
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device, dev_count-1);
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GGML_ASSERT(device<dev_count);
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}
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@ -567,7 +565,7 @@ ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(ggml_backend_sycl_conte
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int device = ctx->device;
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if (device>=ggml_sycl_info().device_count or device<0) {
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printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
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GGML_LOG_ERROR("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
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device, ggml_sycl_info().device_count-1);
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GGML_ASSERT(device<ggml_sycl_info().device_count);
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}
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@ -746,7 +744,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
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size += ggml_row_size(tensor->type, MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING);
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}
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// FIXME: do not crash if cudaMalloc fails
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// FIXME: do not crash if SYCL Buffer alloc fails
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// currently, init_tensor cannot fail, it needs to be fixed in ggml-backend first
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ggml_sycl_set_device(i);
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const queue_ptr stream = ctx->streams[i];
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@ -788,7 +786,6 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
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CHECK_TRY_ERROR(extra->events[i][is] = new sycl::event()));
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}
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}
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tensor->backend = GGML_BACKEND_TYPE_GPU_SPLIT;
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tensor->extra = extra;
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}
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catch (sycl::exception const &exc) {
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@ -2349,12 +2346,22 @@ static dpct::err0 ggml_sycl_cpy_tensor_2d(void *dst,
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dpct::memcpy_direction kind;
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char * src_ptr;
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if (src->backend == GGML_BACKEND_TYPE_CPU) {
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if (ggml_backend_buffer_is_host(src->buffer)) {
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kind = dpct::host_to_device;
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//GGML_SYCL_DEBUG("%s: Host buffer type src tensor\n", __func__);
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src_ptr = (char *) src->data;
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// GGML_SYCL_DEBUG("ggml_sycl_cpy_tensor_2d GGML_BACKEND_TYPE_CPU src_ptr %p\n", src_ptr);
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} else if (src->backend == GGML_BACKEND_TYPE_GPU || src->backend == GGML_BACKEND_TYPE_GPU_SPLIT) {
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GGML_ASSERT(src->backend != GGML_BACKEND_TYPE_GPU_SPLIT || (i1_low == 0 && i1_high == src->ne[1]));
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} else if (ggml_backend_buffer_is_sycl(src->buffer)) {
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// If buffer is a SYCL buffer
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//GGML_SYCL_DEBUG("%s: SYCL buffer type src tensor\n", __func__);
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kind = dpct::device_to_device;
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src_ptr = (char *) src->data;
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} else if (ggml_backend_buffer_is_sycl_split(src->buffer)) {
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/*
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If buffer is a SYCL split buffer
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*/
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//GGML_SYCL_DEBUG("%s: Split buffer type src tensor\n", __func__);
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GGML_ASSERT(i1_low == 0 && i1_high == src->ne[1]);
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kind = dpct::device_to_device;
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src->extra;
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int id;
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@ -2857,8 +2864,8 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
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const int nb2 = dst->nb[2];
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const int nb3 = dst->nb[3];
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GGML_ASSERT(dst->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT(src1->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(dst->buffer));
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src1->buffer));
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GGML_ASSERT(src1->type == GGML_TYPE_F32 || (src1->ne[2] == 1 && src1->ne[3] == 1));
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GGML_ASSERT(ne12 >= ne02 && ne12 % ne02 == 0);
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@ -2878,7 +2885,7 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
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int64_t src1_padded_col_size = GGML_PAD(ne10, MATRIX_ROW_PADDING);
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const bool split = src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT;
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const bool split = ggml_backend_buffer_is_sycl_split(src0->buffer);
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GGML_ASSERT(!(split && ne02 > 1));
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GGML_ASSERT(!(split && ne03 > 1));
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GGML_ASSERT(!(split && ne02 < ne12));
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@ -3198,7 +3205,7 @@ static void ggml_sycl_mul_mat_vec_p021(ggml_backend_sycl_context & ctx, const gg
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const ggml_tensor *src1,
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ggml_tensor *dst) try {
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GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
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GGML_ASSERT(src0->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer));
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GGML_ASSERT(src0->nb[0] <= src0->nb[1] && src0->nb[2] <= src0->nb[3]); // 0213 permutation
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GGML_ASSERT(src1->nb[0] <= src1->nb[1] && src1->nb[2] <= src1->nb[3]); // 0213 permutation
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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@ -3231,7 +3238,7 @@ static void ggml_sycl_mul_mat_vec_nc(ggml_backend_sycl_context & ctx, const ggml
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GGML_ASSERT(!ggml_is_transposed(src0));
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GGML_ASSERT(!ggml_is_transposed(src1));
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GGML_ASSERT(!ggml_is_permuted(src0));
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GGML_ASSERT(src0->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer));
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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GGML_ASSERT(src1->type == GGML_TYPE_F32);
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@ -3293,7 +3300,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx,
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ggml_tensor *dst) try {
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GGML_ASSERT(!ggml_is_transposed(src0));
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GGML_ASSERT(!ggml_is_transposed(src1));
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GGML_ASSERT(src0->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer));
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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GGML_TENSOR_BINARY_OP_LOCALS
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@ -4638,10 +4645,9 @@ static ggml_backend_dev_t ggml_backend_sycl_reg_get_device(ggml_backend_reg_t re
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static void *ggml_backend_sycl_reg_get_proc_address(ggml_backend_reg_t reg, const char *name) {
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GGML_UNUSED(reg);
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// TODO: update to the current function signature
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//if (strcmp(name, "ggml_backend_split_buffer_type") == 0) {
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// return (void *)ggml_backend_sycl_split_buffer_type;
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//}
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if (strcmp(name, "ggml_backend_split_buffer_type") == 0) {
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return (void *)ggml_backend_sycl_split_buffer_type;
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}
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// SYCL doesn't support registering host memory, left here for reference
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// "ggml_backend_register_host_buffer"
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