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Merge adf3bce13b into a5b57b08ce

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Radoslav Gerganov 2024-09-22 12:48:16 +03:00 committed by GitHub
commit 34c686c3f7
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1 changed files with 129 additions and 176 deletions
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305
ggml/src/ggml-vulkan.cpp
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@ -431,16 +431,6 @@ struct vk_context_struct {
typedef std::shared_ptr<vk_context_struct> vk_context;
typedef std::weak_ptr<vk_context_struct> vk_context_ref;
struct ggml_tensor_extra_gpu {
vk_buffer_ref buffer_gpu;
uint64_t offset;
void reset() {
buffer_gpu.reset();
offset = 0;
}
};
struct ggml_vk_garbage_collector {
std::vector<vk_semaphore> tl_semaphores;
std::vector<vk_semaphore> semaphores;
@ -551,6 +541,31 @@ struct ggml_backend_vk_context {
std::vector<vk_context_ref> tensor_ctxs;
};
static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; // NOLINT
static uint64_t vk_tensor_offset(const ggml_tensor * tensor) {
if (tensor->view_src) {
return (uint8_t *) tensor->view_src->data - (uint8_t *) vk_ptr_base;
}
return (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base;
}
struct ggml_backend_vk_buffer_context {
vk_device_ref device;
vk_buffer dev_buffer;
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);
}
};
#ifdef GGML_VULKAN_MEMORY_DEBUG
void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) {
std::lock_guard<std::mutex> guard(log_mutex);
@ -3038,9 +3053,9 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
const uint64_t r2 = ne12 / ne02;
const uint64_t r3 = ne13 / ne03;
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
vk_buffer d_Qx;
size_t qx_buf_offset = 0;
@ -3142,8 +3157,8 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03);
vk_buffer d_X;
@ -3151,13 +3166,13 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
vk_buffer d_Y;
uint64_t y_buf_offset = 0;
if (!src0_uma) {
d_Qx = extra_src0->buffer_gpu.lock();
qx_buf_offset = extra_src0->offset + src0->view_offs;
d_Qx = src0_buf_ctx->dev_buffer;
qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
if (!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qy != nullptr);
}
if (qx_needs_dequant) {
@ -3238,9 +3253,9 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
const uint64_t r2 = ne12 / ne02;
const uint64_t r3 = ne13 / ne03;
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
vk_buffer d_Qx;
size_t qx_buf_offset = 0;
@ -3319,21 +3334,21 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
vk_buffer d_X;
uint64_t x_buf_offset = 0;
vk_buffer d_Y;
uint64_t y_buf_offset = 0;
if(!src0_uma) {
d_Qx = extra_src0->buffer_gpu.lock();
qx_buf_offset = extra_src0->offset + src0->view_offs;
d_Qx = src0_buf_ctx->dev_buffer;
qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
if(!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qy != nullptr);
}
if (qx_needs_dequant) {
@ -3416,9 +3431,9 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
GGML_ASSERT(ne11 == 1);
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
vk_buffer d_Qy;
size_t qy_buf_offset = 0;
@ -3444,15 +3459,15 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
vk_buffer d_Qx = src0_buf_ctx->dev_buffer;
const uint64_t qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
if (!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
@ -3494,9 +3509,9 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
GGML_ASSERT(ne11 == 1);
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
vk_buffer d_Qy = nullptr;
size_t qy_buf_offset = 0;
@ -3523,15 +3538,15 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
vk_buffer d_Qx = src0_buf_ctx->dev_buffer;
const uint64_t qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
if (!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
@ -3593,10 +3608,10 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context&
const uint64_t n_as = ne02;
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
ggml_tensor_extra_gpu * extra_ids = (ggml_tensor_extra_gpu *) ids->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
ggml_backend_vk_buffer_context * ids_buf_ctx = (ggml_backend_vk_buffer_context *)ids->buffer->context;
vk_buffer d_Qx;
size_t qx_buf_offset = 0;
@ -3693,26 +3708,26 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context&
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
vk_buffer d_X;
uint64_t x_buf_offset = 0;
vk_buffer d_Y;
uint64_t y_buf_offset = 0;
if (!src0_uma) {
d_Qx = extra_src0->buffer_gpu.lock();
qx_buf_offset = extra_src0->offset + src0->view_offs;
d_Qx = src0_buf_ctx->dev_buffer;
qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
if (!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qy != nullptr);
}
if (!ids_uma) {
d_ids = extra_ids->buffer_gpu.lock();
ids_buf_offset = extra_ids->offset + ids->view_offs;
d_ids = ids_buf_ctx->dev_buffer;
ids_buf_offset = vk_tensor_offset(ids) + ids->view_offs;
GGML_ASSERT(d_ids != nullptr);
}
if (qx_needs_dequant) {
@ -3798,10 +3813,10 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
const uint64_t ne22 = dst->ne[2];
const uint64_t ne23 = dst->ne[3];
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
ggml_tensor_extra_gpu * extra_ids = (ggml_tensor_extra_gpu *) ids->extra;
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 = (ggml_backend_vk_buffer_context *)src1->buffer->context;
ggml_backend_vk_buffer_context * ids_buf_ctx = (ggml_backend_vk_buffer_context *)ids->buffer->context;
vk_buffer d_Qx;
size_t qx_buf_offset = 0;
@ -3886,26 +3901,26 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
return;
}
vk_buffer d_D = extra->buffer_gpu.lock();
const uint64_t d_buf_offset = extra->offset + dst->view_offs;
vk_buffer d_D = dst_buf_ctx->dev_buffer;
const uint64_t d_buf_offset = vk_tensor_offset(dst) + dst->view_offs;
GGML_ASSERT(d_D != nullptr);
vk_buffer d_X;
uint64_t x_buf_offset = 0;
vk_buffer d_Y;
uint64_t y_buf_offset = 0;
if(!src0_uma) {
d_Qx = extra_src0->buffer_gpu.lock();
qx_buf_offset = extra_src0->offset + src0->view_offs;
d_Qx = src0_buf_ctx->dev_buffer;
qx_buf_offset = vk_tensor_offset(src0) + src0->view_offs;
GGML_ASSERT(d_Qx != nullptr);
}
if(!src1_uma) {
d_Qy = extra_src1->buffer_gpu.lock();
qy_buf_offset = extra_src1->offset + src1->view_offs;
d_Qy = src1_buf_ctx->dev_buffer;
qy_buf_offset = vk_tensor_offset(src1) + src1->view_offs;
GGML_ASSERT(d_Qy != nullptr);
}
if(!ids_uma) {
d_ids = extra_ids->buffer_gpu.lock();
ids_buf_offset = extra_ids->offset + ids->view_offs;
d_ids = ids_buf_ctx->dev_buffer;
ids_buf_offset = vk_tensor_offset(ids) + ids->view_offs;
GGML_ASSERT(d_ids != nullptr);
}
if (qx_needs_dequant) {
@ -4212,7 +4227,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
std::cerr << "), " << ggml_op_name(op) << ", " << (dryrun ? "dryrun" : "") << ")");
GGML_ASSERT(op == GGML_OP_GET_ROWS || (!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type)))); // NOLINT
GGML_ASSERT(ggml_vk_op_supports_incontiguous(op) || ggml_vk_dim01_contiguous(src0)); // NOLINT
GGML_ASSERT(dst->extra != nullptr);
GGML_ASSERT(dst->buffer != nullptr);
const uint64_t ne00 = src0->ne[0];
const uint64_t ne01 = src0->ne[1];
const uint64_t ne02 = src0->ne[2];
@ -4258,10 +4273,10 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
const bool op_supports_incontiguous = ggml_vk_op_supports_incontiguous(op);
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
ggml_tensor_extra_gpu * extra_src1 = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr;
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;
@ -4292,7 +4307,7 @@ 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) {
@ -4300,21 +4315,21 @@ 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);
}
@ -4493,11 +4508,10 @@ 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
@ -4686,10 +4700,9 @@ 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),
@ -5487,14 +5500,6 @@ 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)
ctx->staging = ggml_vk_create_buffer_check(ctx->device, 100ul * 1024ul * 1024ul,
@ -5666,9 +5671,7 @@ 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;
}
@ -5920,7 +5923,7 @@ 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:
@ -5956,7 +5959,7 @@ 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:
@ -5966,7 +5969,7 @@ 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;
@ -5974,14 +5977,14 @@ 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;
}
@ -6122,42 +6125,6 @@ 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();
@ -6182,51 +6149,37 @@ 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;
}
@ -6404,7 +6357,7 @@ 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;
@ -6417,9 +6370,9 @@ 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) {
@ -6427,7 +6380,7 @@ 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;
@ -6440,17 +6393,17 @@ 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;
@ -6463,10 +6416,10 @@ 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;
}