vbatts/llama.cpp
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0cc4m 2023-07-28 07:07:58 +02:00
parent 44065df367
commit f6b241e803
1 changed files with 31 additions and 11 deletions
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42
ggml-vulkan.cpp
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@ -44,6 +44,8 @@
#define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1 #define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1
#define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2 #define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2
#define VK_SUBMIT_BATCH 3
typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
struct vk_buffer { struct vk_buffer {
@ -1918,6 +1920,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
std::vector<vk_sequence> compute_seqs; std::vector<vk_sequence> compute_seqs;
std::vector<vk_sequence> transfer_0_seqs; std::vector<vk_sequence> transfer_0_seqs;
std::vector<vk_sequence> transfer_1_seqs; std::vector<vk_sequence> transfer_1_seqs;
std::vector<vk_sequence> transfer_2_seqs;
// Allocate descriptor sets // Allocate descriptor sets
ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03);
@ -1934,13 +1937,16 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03);
} }
int submit_counter = 0;
for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i03 = 0; i03 < ne03; i03++) {
for (int64_t i02 = 0; i02 < ne02; i02++) { for (int64_t i02 = 0; i02 < ne02; i02++) {
const uint32_t qx_offset = load_x ? qx_sz * (i03 * ne02 + i02) : 0; const uint32_t it_idx = (i03 * ne02 + i02);
const uint32_t qy_offset = load_y ? qy_sz * (i03 * ne02 + i02) : 0; const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0;
const uint32_t x_offset = x_sz * (i03 * ne02 + i02); const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0;
const uint32_t y_offset = y_sz * (i03 * ne02 + i02); const uint32_t x_offset = x_sz * it_idx;
const uint32_t d_offset = d_sz * (i03 * ne02 + i02); const uint32_t y_offset = y_sz * it_idx;
const uint32_t d_offset = d_sz * it_idx;
vk::Semaphore s_x; vk::Semaphore s_x;
vk::Semaphore s_y; vk::Semaphore s_y;
@ -1951,6 +1957,8 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
std::vector<vk::Semaphore> q_semaphores; std::vector<vk::Semaphore> q_semaphores;
std::vector<vk::Semaphore> mm_semaphores; std::vector<vk::Semaphore> mm_semaphores;
submit_counter++;
if (load_x) { if (load_x) {
s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]);
if (qx_needs_dequant) { if (qx_needs_dequant) {
@ -1960,6 +1968,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
} }
transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }));
} }
if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) {
ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE);
}
if (load_y) { if (load_y) {
s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]);
if (qy_needs_dequant) { if (qy_needs_dequant) {
@ -1969,9 +1980,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
} }
transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }));
} }
if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) {
ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE);
ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); }
if (dq) { if (dq) {
s_q = ggml_vk_create_semaphore(vk_device.compute_queue); s_q = ggml_vk_create_semaphore(vk_device.compute_queue);
@ -2008,16 +2019,25 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor *
// compute // compute
compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(mm_semaphores), { s_mm })); compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(mm_semaphores), { s_mm }));
} }
if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) {
ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE);
}
// copy dst to host // copy dst to host
float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {}));
ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) {
ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE);
submit_counter = 0;
}
} }
} }
ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE);
ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE);
ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE);
ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE);
vk_device.transfer_queues[0].queue.waitIdle(); vk_device.transfer_queues[0].queue.waitIdle();
@ -2097,7 +2117,7 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t
#endif #endif
GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst));
if (src0->type == GGML_TYPE_F32) { if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) {
ggml_vk_mul_mat_f32(src0, src1, dst); ggml_vk_mul_mat_f32(src0, src1, dst);
} else if (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) { } else if (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) {
ggml_vk_mul_mat_q_f16(src0, src1, dst); ggml_vk_mul_mat_q_f16(src0, src1, dst);