mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-14 23:09:53 +00:00
vulkan : do not use tensor->extra (#9407)
* vulkan : do not use tensor->extra This patch allows using the Vulkan backend with the RPC backend as tensor->extra is no longer used. Ref: #8536 * Adapt GGML_VULKAN_CHECK_RESULTS to extra removal (#2) --------- Co-authored-by: 0cc4m <picard12@live.de>
This commit is contained in:
Radoslav Gerganov
GitHub
parent
76b37d1541
commit
00b7317e63
@ -433,16 +433,6 @@ struct vk_context_struct {
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typedef std::shared_ptr<vk_context_struct> vk_context;
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typedef std::weak_ptr<vk_context_struct> vk_context_ref;
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struct ggml_tensor_extra_gpu {
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vk_buffer_ref buffer_gpu;
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uint64_t offset;
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void reset() {
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buffer_gpu.reset();
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offset = 0;
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}
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};
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struct ggml_vk_garbage_collector {
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std::vector<vk_semaphore> tl_semaphores;
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std::vector<vk_semaphore> semaphores;
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@ -553,6 +543,31 @@ struct ggml_backend_vk_context {
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std::vector<vk_context_ref> tensor_ctxs;
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};
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static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; // NOLINT
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static uint64_t vk_tensor_offset(const ggml_tensor * tensor) {
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if (tensor->view_src) {
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return (uint8_t *) tensor->view_src->data - (uint8_t *) vk_ptr_base;
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}
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return (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base;
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}
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struct ggml_backend_vk_buffer_context {
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vk_device_ref device;
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vk_buffer dev_buffer;
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std::string name;
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ggml_backend_vk_buffer_context(vk_device_ref device, vk_buffer&& dev_buffer, std::string& name) :
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device(device),
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dev_buffer(dev_buffer),
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name(name) {
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}
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~ggml_backend_vk_buffer_context() {
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ggml_vk_destroy_buffer(dev_buffer);
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}
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};
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#ifdef GGML_VULKAN_MEMORY_DEBUG
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void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) {
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std::lock_guard<std::mutex> guard(log_mutex);
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@ -3076,9 +3091,9 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
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const uint64_t r2 = ne12 / ne02;
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const uint64_t r3 = ne13 / ne03;
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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vk_buffer d_Qx;
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size_t qx_buf_offset = 0;
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@ -3180,8 +3195,8 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03);
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vk_buffer d_X;
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@ -3189,13 +3204,13 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
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vk_buffer d_Y;
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uint64_t y_buf_offset = 0;
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if (!src0_uma) {
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d_Qx = extra_src0->buffer_gpu.lock();
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qx_buf_offset = extra_src0->offset + src0->view_offs;
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d_Qx = src0_buf_ctx->dev_buffer;
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qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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if (!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qy != nullptr);
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}
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if (qx_needs_dequant) {
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@ -3276,9 +3291,9 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
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const uint64_t r2 = ne12 / ne02;
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const uint64_t r3 = ne13 / ne03;
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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vk_buffer d_Qx;
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size_t qx_buf_offset = 0;
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@ -3357,21 +3372,21 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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vk_buffer d_X;
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uint64_t x_buf_offset = 0;
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vk_buffer d_Y;
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uint64_t y_buf_offset = 0;
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if(!src0_uma) {
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d_Qx = extra_src0->buffer_gpu.lock();
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qx_buf_offset = extra_src0->offset + src0->view_offs;
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d_Qx = src0_buf_ctx->dev_buffer;
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qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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if(!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qy != nullptr);
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}
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if (qx_needs_dequant) {
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@ -3454,9 +3469,9 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
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GGML_ASSERT(ne11 == 1);
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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vk_buffer d_Qy;
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size_t qy_buf_offset = 0;
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@ -3482,15 +3497,15 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
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const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
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vk_buffer d_Qx = src0_buf_ctx->dev_buffer;
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const uint64_t qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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if (!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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@ -3532,9 +3547,9 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
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GGML_ASSERT(ne11 == 1);
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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vk_buffer d_Qy = nullptr;
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size_t qy_buf_offset = 0;
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@ -3561,15 +3576,15 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
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const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
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vk_buffer d_Qx = src0_buf_ctx->dev_buffer;
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const uint64_t qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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if (!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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@ -3631,10 +3646,10 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context&
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const uint64_t n_as = ne02;
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_tensor_extra_gpu * extra_ids = (ggml_tensor_extra_gpu *) ids->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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ggml_backend_vk_buffer_context * ids_buf_ctx = (ggml_backend_vk_buffer_context *)ids->buffer->context;
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vk_buffer d_Qx;
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size_t qx_buf_offset = 0;
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@ -3731,26 +3746,26 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context&
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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vk_buffer d_X;
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uint64_t x_buf_offset = 0;
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vk_buffer d_Y;
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uint64_t y_buf_offset = 0;
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if (!src0_uma) {
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d_Qx = extra_src0->buffer_gpu.lock();
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qx_buf_offset = extra_src0->offset + src0->view_offs;
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d_Qx = src0_buf_ctx->dev_buffer;
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qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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if (!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qy != nullptr);
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}
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if (!ids_uma) {
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d_ids = extra_ids->buffer_gpu.lock();
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ids_buf_offset = extra_ids->offset + ids->view_offs;
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d_ids = ids_buf_ctx->dev_buffer;
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ids_buf_offset = vk_tensor_offset(ids) + ids->view_offs;
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GGML_ASSERT(d_ids != nullptr);
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}
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if (qx_needs_dequant) {
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@ -3836,10 +3851,10 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
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const uint64_t ne22 = dst->ne[2];
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const uint64_t ne23 = dst->ne[3];
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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ggml_tensor_extra_gpu * extra_ids = (ggml_tensor_extra_gpu *) ids->extra;
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ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
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ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
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ggml_backend_vk_buffer_context * src1_buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
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ggml_backend_vk_buffer_context * ids_buf_ctx = (ggml_backend_vk_buffer_context *)ids->buffer->context;
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vk_buffer d_Qx;
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size_t qx_buf_offset = 0;
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@ -3924,26 +3939,26 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
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return;
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}
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vk_buffer d_D = extra->buffer_gpu.lock();
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const uint64_t d_buf_offset = extra->offset + dst->view_offs;
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vk_buffer d_D = dst_buf_ctx->dev_buffer;
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const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
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GGML_ASSERT(d_D != nullptr);
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vk_buffer d_X;
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uint64_t x_buf_offset = 0;
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vk_buffer d_Y;
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uint64_t y_buf_offset = 0;
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if(!src0_uma) {
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d_Qx = extra_src0->buffer_gpu.lock();
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qx_buf_offset = extra_src0->offset + src0->view_offs;
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d_Qx = src0_buf_ctx->dev_buffer;
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qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
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GGML_ASSERT(d_Qx != nullptr);
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}
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if(!src1_uma) {
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d_Qy = extra_src1->buffer_gpu.lock();
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qy_buf_offset = extra_src1->offset + src1->view_offs;
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d_Qy = src1_buf_ctx->dev_buffer;
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qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
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GGML_ASSERT(d_Qy != nullptr);
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}
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if(!ids_uma) {
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d_ids = extra_ids->buffer_gpu.lock();
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ids_buf_offset = extra_ids->offset + ids->view_offs;
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d_ids = ids_buf_ctx->dev_buffer;
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ids_buf_offset = vk_tensor_offset(ids) + ids->view_offs;
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GGML_ASSERT(d_ids != nullptr);
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}
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if (qx_needs_dequant) {
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@ -4250,7 +4265,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
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std::cerr << "), " << ggml_op_name(op) << ", " << (dryrun ? "dryrun" : "") << ")");
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GGML_ASSERT(op == GGML_OP_GET_ROWS || (!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type)))); // NOLINT
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GGML_ASSERT(ggml_vk_op_supports_incontiguous(op) || ggml_vk_dim01_contiguous(src0)); // NOLINT
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GGML_ASSERT(dst->extra != nullptr);
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GGML_ASSERT(dst->buffer != nullptr);
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const uint64_t ne00 = src0->ne[0];
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const uint64_t ne01 = src0->ne[1];
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const uint64_t ne02 = src0->ne[2];
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@ -4296,10 +4311,10 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
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const bool op_supports_incontiguous = ggml_vk_op_supports_incontiguous(op);
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ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
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ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
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ggml_tensor_extra_gpu * extra_src1 = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr;
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ggml_tensor_extra_gpu * extra_src2 = use_src2 ? (ggml_tensor_extra_gpu *) src2->extra : nullptr;
|
||||
ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
|
||||
ggml_backend_vk_buffer_context * src0_buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
|
||||
ggml_backend_vk_buffer_context * src1_buf_ctx = use_src1 ? (ggml_backend_vk_buffer_context *)src1->buffer->context : nullptr;
|
||||
ggml_backend_vk_buffer_context * src2_buf_ctx = use_src2 ? (ggml_backend_vk_buffer_context *)src2->buffer->context : nullptr;
|
||||
|
||||
vk_buffer d_X = nullptr;
|
||||
size_t x_buf_offset = 0;
|
||||
@ -4330,7 +4345,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
|
||||
uint64_t z_sz = use_src2 ? ggml_type_size(src2->type) * ne2 : 0;
|
||||
uint64_t d_sz = ggml_type_size(dst->type) * ned;
|
||||
|
||||
vk_buffer d_D = extra->buffer_gpu.lock();
|
||||
vk_buffer d_D = dst_buf_ctx->dev_buffer;
|
||||
|
||||
// Workaround for tiny tensor inputs on ROPE
|
||||
if (op == GGML_OP_ROPE && use_src1 && y_sz > d_D->size) {
|
||||
@ -4338,21 +4353,21 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
|
||||
}
|
||||
|
||||
GGML_ASSERT(d_D != nullptr);
|
||||
uint64_t d_buf_offset = ((extra->offset + dst->view_offs) / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
|
||||
GGML_ASSERT(d_buf_offset == extra->offset || op == GGML_OP_CPY); // NOLINT
|
||||
uint64_t d_buf_offset = ((vk_tensor_offset(dst) + dst->view_offs) / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
|
||||
GGML_ASSERT(d_buf_offset == vk_tensor_offset(dst) || op == GGML_OP_CPY); // NOLINT
|
||||
if(!src0_uma) {
|
||||
d_X = extra_src0->buffer_gpu.lock();
|
||||
x_buf_offset = extra_src0->offset + src0->view_offs;
|
||||
d_X = src0_buf_ctx->dev_buffer;
|
||||
x_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
|
||||
GGML_ASSERT(d_X != nullptr);
|
||||
}
|
||||
if (use_src1 && !src1_uma) {
|
||||
d_Y = extra_src1->buffer_gpu.lock();
|
||||
y_buf_offset = extra_src1->offset + src1->view_offs;
|
||||
d_Y = src1_buf_ctx->dev_buffer;
|
||||
y_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
|
||||
GGML_ASSERT(d_Y != nullptr);
|
||||
}
|
||||
if (use_src2 && !src2_uma) {
|
||||
d_Z = extra_src2->buffer_gpu.lock();
|
||||
z_buf_offset = extra_src2->offset + src2->view_offs;
|
||||
d_Z = src2_buf_ctx->dev_buffer;
|
||||
z_buf_offset = vk_tensor_offset(src2) + src2->view_offs;
|
||||
GGML_ASSERT(d_Z != nullptr);
|
||||
}
|
||||
|
||||
@ -4531,11 +4546,10 @@ static void ggml_vk_get_rows(ggml_backend_vk_context * ctx, vk_context& subctx,
|
||||
}
|
||||
|
||||
static void ggml_vk_acc(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, bool dryrun = false) {
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t src1_type_size = ggml_type_size(src1->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
const uint32_t d_offset = ((extra->offset + dst->view_offs) % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
|
||||
const uint32_t d_offset = ((vk_tensor_offset(dst) + dst->view_offs) % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
|
||||
|
||||
int nb1 = dst->op_params[0] / 4; // 4 bytes of float32
|
||||
int nb2 = dst->op_params[1] / 4; // 4 bytes of float32
|
||||
@ -4724,10 +4738,9 @@ static void ggml_vk_repeat(ggml_backend_vk_context * ctx, vk_context& subctx, co
|
||||
}
|
||||
|
||||
static void ggml_vk_cpy(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
const uint32_t d_offset = ((extra->offset + dst->view_offs) % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
|
||||
const uint32_t d_offset = ((vk_tensor_offset(dst) + dst->view_offs) % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
|
||||
|
||||
ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CPY, {
|
||||
(uint32_t)ggml_nelements(src0),
|
||||
@ -5535,14 +5548,6 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
|
||||
}
|
||||
#endif
|
||||
|
||||
static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) {
|
||||
VK_LOG_DEBUG("ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))");
|
||||
ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu;
|
||||
extra->reset();
|
||||
tensor->extra = extra;
|
||||
return extra;
|
||||
}
|
||||
|
||||
static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
|
||||
#if defined(GGML_VULKAN_RUN_TESTS)
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_F32);
|
||||
@ -5711,9 +5716,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context* ctx, ggml_tensor* t
|
||||
// Returns true if node has enqueued work into the queue, false otherwise
|
||||
// If submit is true the current all operations queued so far are being submitted to Vulkan to overlap cmdlist creation and GPU execution.
|
||||
static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * node, int node_idx, ggml_tensor *node_begin, int node_idx_begin, bool dryrun, bool last_node, bool submit){
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
|
||||
|
||||
if (ggml_is_empty(node) || extra == nullptr) {
|
||||
if (ggml_is_empty(node) || !node->buffer) {
|
||||
return false;
|
||||
}
|
||||
|
||||
@ -5965,7 +5968,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
|
||||
}
|
||||
|
||||
static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor * tensor, int tensor_idx, bool use_fence = true){
|
||||
ggml_tensor_extra_gpu * extra = nullptr;
|
||||
ggml_backend_buffer * buf = nullptr;
|
||||
|
||||
switch (tensor->op) {
|
||||
case GGML_OP_ADD:
|
||||
@ -6001,7 +6004,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor *
|
||||
case GGML_OP_TIMESTEP_EMBEDDING:
|
||||
case GGML_OP_LEAKY_RELU:
|
||||
case GGML_OP_REPEAT:
|
||||
extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
buf = tensor->buffer;
|
||||
|
||||
break;
|
||||
case GGML_OP_UNARY:
|
||||
@ -6011,7 +6014,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor *
|
||||
case GGML_UNARY_OP_GELU_QUICK:
|
||||
case GGML_UNARY_OP_RELU:
|
||||
case GGML_UNARY_OP_TANH:
|
||||
extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
buf = tensor->buffer;
|
||||
break;
|
||||
default:
|
||||
return false;
|
||||
@ -6019,14 +6022,14 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor *
|
||||
break;
|
||||
case GGML_OP_MUL_MAT:
|
||||
case GGML_OP_MUL_MAT_ID:
|
||||
extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
buf = tensor->buffer;
|
||||
|
||||
break;
|
||||
default:
|
||||
return false;
|
||||
}
|
||||
|
||||
if (extra == nullptr) {
|
||||
if (buf == nullptr) {
|
||||
return false;
|
||||
}
|
||||
|
||||
@ -6167,42 +6170,6 @@ GGML_CALL static void ggml_vk_get_device_description(int device, char * descript
|
||||
|
||||
// device backend
|
||||
|
||||
static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; // NOLINT
|
||||
|
||||
struct ggml_backend_vk_buffer_context {
|
||||
vk_device_ref device;
|
||||
vk_buffer dev_buffer;
|
||||
ggml_tensor_extra_gpu * temp_tensor_extras = nullptr;
|
||||
size_t temp_tensor_extra_index = 0;
|
||||
std::string name;
|
||||
|
||||
ggml_backend_vk_buffer_context(vk_device_ref device, vk_buffer&& dev_buffer, std::string& name) :
|
||||
device(device),
|
||||
dev_buffer(dev_buffer),
|
||||
name(name) {
|
||||
}
|
||||
|
||||
~ggml_backend_vk_buffer_context() {
|
||||
ggml_vk_destroy_buffer(dev_buffer);
|
||||
if (temp_tensor_extras != nullptr) {
|
||||
delete[] temp_tensor_extras;
|
||||
}
|
||||
}
|
||||
|
||||
ggml_tensor_extra_gpu * ggml_vk_alloc_temp_tensor_extra() {
|
||||
if (temp_tensor_extras == nullptr) {
|
||||
temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_VK_MAX_NODES];
|
||||
}
|
||||
|
||||
size_t alloc_index = temp_tensor_extra_index;
|
||||
temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_VK_MAX_NODES;
|
||||
ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index];
|
||||
extra->reset();
|
||||
|
||||
return extra;
|
||||
}
|
||||
};
|
||||
|
||||
GGML_CALL static const char * ggml_backend_vk_buffer_get_name(ggml_backend_buffer_t buffer) {
|
||||
ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
|
||||
return ctx->name.c_str();
|
||||
@ -6227,51 +6194,37 @@ GGML_CALL static void * ggml_backend_vk_buffer_get_base(ggml_backend_buffer_t bu
|
||||
|
||||
GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
|
||||
VK_LOG_DEBUG("ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")");
|
||||
ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
|
||||
|
||||
if (tensor->view_src != nullptr) {
|
||||
GGML_ASSERT(tensor->view_src->buffer->buft == buffer->buft);
|
||||
GGML_ASSERT(tensor->view_src->extra != nullptr);
|
||||
tensor->extra = tensor->view_src->extra;
|
||||
} else {
|
||||
ggml_tensor_extra_gpu * extra = ctx->ggml_vk_alloc_temp_tensor_extra();
|
||||
extra->buffer_gpu = ctx->dev_buffer;
|
||||
extra->offset = (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base;
|
||||
tensor->extra = extra;
|
||||
}
|
||||
}
|
||||
|
||||
GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
|
||||
VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
|
||||
vk_buffer buf = buf_ctx->dev_buffer;
|
||||
|
||||
vk_buffer buf = extra->buffer_gpu.lock();
|
||||
|
||||
ggml_vk_buffer_write(buf, extra->offset + tensor->view_offs + offset, data, size);
|
||||
|
||||
GGML_UNUSED(buffer);
|
||||
ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
|
||||
}
|
||||
|
||||
GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
|
||||
VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
|
||||
|
||||
vk_buffer buf = extra->buffer_gpu.lock();
|
||||
vk_buffer buf = buf_ctx->dev_buffer;
|
||||
|
||||
ggml_vk_buffer_read(buf, extra->offset + tensor->view_offs + offset, data, size);
|
||||
|
||||
GGML_UNUSED(buffer);
|
||||
ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
|
||||
}
|
||||
|
||||
GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
|
||||
if (ggml_backend_buffer_is_vk(src->buffer)) {
|
||||
ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra;
|
||||
ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
|
||||
ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context;
|
||||
ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
|
||||
|
||||
vk_buffer src_buf = src_extra->buffer_gpu.lock();
|
||||
vk_buffer dst_buf = dst_extra->buffer_gpu.lock();
|
||||
vk_buffer src_buf = src_buf_ctx->dev_buffer;
|
||||
vk_buffer dst_buf = dst_buf_ctx->dev_buffer;
|
||||
|
||||
ggml_vk_buffer_copy(dst_buf, dst_extra->offset + dst->view_offs, src_buf, src_extra->offset + src->view_offs, ggml_nbytes(src));
|
||||
ggml_vk_buffer_copy(dst_buf, vk_tensor_offset(dst) + dst->view_offs, src_buf, vk_tensor_offset(src) + src->view_offs, ggml_nbytes(src));
|
||||
|
||||
return true;
|
||||
}
|
||||
@ -6449,7 +6402,7 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g
|
||||
ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
|
||||
GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
|
||||
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
|
||||
|
||||
vk_context transfer_ctx;
|
||||
|
||||
@ -6462,9 +6415,9 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g
|
||||
transfer_ctx = ctx->transfer_ctx.lock();
|
||||
}
|
||||
|
||||
vk_buffer buf = extra->buffer_gpu.lock();
|
||||
vk_buffer buf = buf_ctx->dev_buffer;
|
||||
|
||||
ggml_vk_buffer_write_async(transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
|
||||
ggml_vk_buffer_write_async(transfer_ctx, buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
|
||||
}
|
||||
|
||||
GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
|
||||
@ -6472,7 +6425,7 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c
|
||||
ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
|
||||
GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
|
||||
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
|
||||
|
||||
vk_context transfer_ctx;
|
||||
|
||||
@ -6485,17 +6438,17 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c
|
||||
transfer_ctx = ctx->transfer_ctx.lock();
|
||||
}
|
||||
|
||||
vk_buffer buf = extra->buffer_gpu.lock();
|
||||
vk_buffer buf = buf_ctx->dev_buffer;
|
||||
|
||||
ggml_vk_buffer_read_async(transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
|
||||
ggml_vk_buffer_read_async(transfer_ctx, buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
|
||||
}
|
||||
|
||||
GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) {
|
||||
VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()");
|
||||
ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
|
||||
if ((dst->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) {
|
||||
ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra;
|
||||
ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
|
||||
ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context;
|
||||
ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
|
||||
|
||||
vk_context transfer_ctx;
|
||||
|
||||
@ -6508,10 +6461,10 @@ GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, c
|
||||
transfer_ctx = ctx->transfer_ctx.lock();
|
||||
}
|
||||
|
||||
vk_buffer src_buf = src_extra->buffer_gpu.lock();
|
||||
vk_buffer dst_buf = dst_extra->buffer_gpu.lock();
|
||||
vk_buffer src_buf = src_buf_ctx->dev_buffer;
|
||||
vk_buffer dst_buf = dst_buf_ctx->dev_buffer;
|
||||
|
||||
ggml_vk_buffer_copy_async(transfer_ctx, dst_buf, dst_extra->offset + dst->view_offs, src_buf, src_extra->offset + src->view_offs, ggml_nbytes(src));
|
||||
ggml_vk_buffer_copy_async(transfer_ctx, dst_buf, vk_tensor_offset(dst) + dst->view_offs, src_buf, vk_tensor_offset(src) + src->view_offs, ggml_nbytes(src));
|
||||
return true;
|
||||
}
|
||||
|
||||
@ -6949,10 +6902,10 @@ static void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name)
|
||||
const size_t tensor_size = ggml_nbytes(tensor);
|
||||
tensor_data = malloc(tensor_size);
|
||||
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
|
||||
|
||||
vk_buffer buffer_gpu = extra->buffer_gpu.lock();
|
||||
ggml_vk_buffer_read(buffer_gpu, extra->offset + tensor->view_offs, tensor_data, tensor_size);
|
||||
vk_buffer buffer_gpu = buf_ctx->dev_buffer;
|
||||
ggml_vk_buffer_read(buffer_gpu, vk_tensor_offset(tensor) + tensor->view_offs, tensor_data, tensor_size);
|
||||
}
|
||||
|
||||
std::cerr << "TENSOR CHECK " << name << " (" << tensor->name << "): " << ggml_op_name(tensor->op) << std::endl;
|
||||
@ -7026,9 +6979,9 @@ static void ggml_vk_check_results_0(ggml_tensor * tensor) {
|
||||
memcpy(src0_clone->data, src0->data, src0_size);
|
||||
memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS);
|
||||
} else if (ggml_backend_buffer_is_vk(src0->buffer)) {
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src0->extra;
|
||||
vk_buffer buffer_gpu = extra->buffer_gpu.lock();
|
||||
uint64_t offset = extra->offset + src0->view_offs;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)src0->buffer->context;
|
||||
vk_buffer& buffer_gpu = buf_ctx->dev_buffer;
|
||||
uint64_t offset = vk_tensor_offset(src0) + src0->view_offs;
|
||||
if (!ggml_is_contiguous(src0) && ggml_vk_dim01_contiguous(src0)) {
|
||||
for (int i3 = 0; i3 < src0->ne[3]; i3++) {
|
||||
for (int i2 = 0; i2 < src0->ne[2]; i2++) {
|
||||
@ -7068,9 +7021,9 @@ static void ggml_vk_check_results_0(ggml_tensor * tensor) {
|
||||
memcpy(src1_clone->data, src1->data, src1_size);
|
||||
memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS);
|
||||
} else if (ggml_backend_buffer_is_vk(src1->buffer)) {
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src1->extra;
|
||||
vk_buffer buffer_gpu = extra->buffer_gpu.lock();
|
||||
uint64_t offset = extra->offset + src1->view_offs;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)src1->buffer->context;
|
||||
vk_buffer& buffer_gpu = buf_ctx->dev_buffer;
|
||||
uint64_t offset = vk_tensor_offset(src1) + src1->view_offs;
|
||||
if (!ggml_is_contiguous(src1) && ggml_vk_dim01_contiguous(src1)) {
|
||||
for (int i3 = 0; i3 < src1->ne[3]; i3++) {
|
||||
for (int i2 = 0; i2 < src1->ne[2]; i2++) {
|
||||
@ -7110,9 +7063,9 @@ static void ggml_vk_check_results_0(ggml_tensor * tensor) {
|
||||
memcpy(src2_clone->data, src2->data, src2_size);
|
||||
memcpy(src2_clone->nb, src2->nb, sizeof(size_t) * GGML_MAX_DIMS);
|
||||
} else if (ggml_backend_buffer_is_vk(src2->buffer)) {
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src2->extra;
|
||||
vk_buffer buffer_gpu = extra->buffer_gpu.lock();
|
||||
uint64_t offset = extra->offset + src2->view_offs;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)src2->buffer->context;
|
||||
vk_buffer& buffer_gpu = buf_ctx->dev_buffer;
|
||||
uint64_t offset = vk_tensor_offset(src2) + src2->view_offs;
|
||||
if (!ggml_is_contiguous(src2) && ggml_vk_dim01_contiguous(src2)) {
|
||||
for (int i3 = 0; i3 < src2->ne[3]; i3++) {
|
||||
for (int i2 = 0; i2 < src2->ne[2]; i2++) {
|
||||
@ -7167,7 +7120,7 @@ static void ggml_vk_check_results_0(ggml_tensor * tensor) {
|
||||
} else if (tensor->op == GGML_OP_PAD) {
|
||||
tensor_clone = ggml_pad(ggml_ctx, src0_clone, tensor->ne[0] - src0_clone->ne[0], tensor->ne[1] - src0_clone->ne[1], tensor->ne[2] - src0_clone->ne[2], tensor->ne[3] - src0_clone->ne[3]);
|
||||
} else if (tensor->op == GGML_OP_REPEAT) {
|
||||
tensor_clone = ggml_repeat(ggml_ctx, src0_clone, src1_clone);
|
||||
tensor_clone = ggml_repeat(ggml_ctx, src0_clone, tensor);
|
||||
} else if (tensor->op == GGML_OP_ADD) {
|
||||
tensor_clone = ggml_add(ggml_ctx, src0_clone, src1_clone);
|
||||
} else if (tensor->op == GGML_OP_ACC) {
|
||||
@ -7312,14 +7265,15 @@ static void ggml_vk_check_results_1(ggml_tensor * tensor) {
|
||||
size_t tensor_size = ggml_nbytes(tensor);
|
||||
tensor_data = malloc(tensor_size);
|
||||
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
|
||||
ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
|
||||
|
||||
vk_buffer buffer_gpu = extra->buffer_gpu.lock();
|
||||
if (extra->offset + tensor->view_offs + tensor_size >= buffer_gpu->size) {
|
||||
tensor_size = buffer_gpu->size - (extra->offset + tensor->view_offs);
|
||||
vk_buffer& buffer_gpu = buf_ctx->dev_buffer;
|
||||
uint64_t offset = vk_tensor_offset(tensor) + tensor->view_offs;
|
||||
if (offset + tensor_size >= buffer_gpu->size) {
|
||||
tensor_size = buffer_gpu->size - offset;
|
||||
}
|
||||
|
||||
ggml_vk_buffer_read(buffer_gpu, extra->offset + tensor->view_offs, tensor_data, tensor_size);
|
||||
ggml_vk_buffer_read(buffer_gpu, offset, tensor_data, tensor_size);
|
||||
}
|
||||
|
||||
float first_error_result = -1.0f;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user