vbatts/llama.cpp
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More little fixes and stuff

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This commit is contained in:
niansa 2023-06-23 20:37:58 +02:00
parent e0814f86a2
commit 5d5f66d1d9
1 changed files with 101 additions and 104 deletions
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205
ggml-vulkan.cpp
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@ -165,14 +165,15 @@ const std::shared_ptr<kp::Tensor> & ggml_vk_get_tensor(struct ggml_kompute_conte
}
static std::vector<uint32_t> compileSource(const std::string& source) {
static std::vector<uint32_t> compileSource(const std::string& source, const char *debug_name) {
printf("%s: Compiling compute program: %s\n", __func__, debug_name);
static std::mutex mutex;
std::lock_guard<std::mutex> L(mutex);
//FIXME: Terrible solution!!!!
std::ofstream fileOut("tmp_kp_shader.comp");
fileOut << source;
fileOut.close();
if (system(std::string("glslangValidator -V tmp_kp_shader.comp -o tmp_kp_shader.comp.spv").c_str()))
if (system(std::string("glslangValidator -V tmp_kp_shader.comp -o tmp_kp_shader.comp.spv > /dev/null").c_str()))
throw std::runtime_error("Error running glslangValidator command");
std::ifstream fileStream("tmp_kp_shader.comp.spv", std::ios::binary);
std::vector<char> buffer;
@ -251,7 +252,7 @@ void ggml_vk_dequantize_row_q4_0(const void *x_, float *y, int k) {
static const int qk = QK4_0;
const unsigned nb = k / qk;
const unsigned y_size = nb*qk;
const static auto spirv = compileSource(program_source_head+program_dequantize_row_q4_0);
const static auto spirv = compileSource(program_source_head+program_dequantize_row_q4_0, __func__);
const auto x = reinterpret_cast<const block_q4_0*>(x_);
@ -301,7 +302,7 @@ void ggml_vk_dequantize_row_q4_1(const void *x_, float *y, int k) {
static const int qk = QK4_1;
const unsigned nb = k / qk;
const unsigned y_size = nb*qk;
const static auto spirv = compileSource(program_source_head+program_dequantize_row_q4_1);
const static auto spirv = compileSource(program_source_head+program_dequantize_row_q4_1, __func__);
const auto x = reinterpret_cast<const block_q4_1*>(x_);
@ -352,7 +353,7 @@ void ggml_vk_abmath(kp::Sequence& seq,
const static auto spirv = compileSource(program_source_head+
"#define MATH_OP "+std::string(1, mathOP)+"\n"
"#define ROW_OP "+(row?"% pcs.row":"")+'\n'+
program_abmath);
program_abmath, __func__);
struct PushConstants {
uint32_t inAOff, inBOff, outOff, row;
@ -370,7 +371,6 @@ void ggml_vk_add(Args&&... args) {
template <typename... Args>
void ggml_vk_mul(Args&&... args) {
printf("%s: multiplying...\n", __func__);
return ggml_vk_abmath<'*'>(std::forward<Args>(args)...);
}
@ -398,7 +398,7 @@ void ggml_vk_scale(kp::Sequence& seq,
const std::shared_ptr<kp::Tensor>& in, uint32_t inOff,
const std::shared_ptr<kp::Tensor>& out, uint32_t outOff,
uint32_t size, float scale) {
const static auto spirv = compileSource(program_source_head+program_scale);
const static auto spirv = compileSource(program_source_head+program_scale, __func__);
struct PushConstants {
uint32_t inOff, outOff;
@ -445,7 +445,7 @@ void main() {
template <typename... Args>
void ggml_vk_silu(Args&&... args) {
const static auto spirv = compileSource(program_source_head+program_silu);
const static auto spirv = compileSource(program_source_head+program_silu, __func__);
ggml_vk_xxlu(spirv, std::forward<Args>(args)...);
}
@ -471,7 +471,7 @@ void main() {
template <typename... Args>
void ggml_vk_relu(Args&&... args) {
const static auto spirv = compileSource(program_source_head+program_relu);
const static auto spirv = compileSource(program_source_head+program_relu, __func__);
ggml_vk_xxlu(spirv, std::forward<Args>(args)...);
}
@ -498,7 +498,7 @@ void main() {
template <typename... Args>
void ggml_vk_gelu(Args&&... args) {
const static auto spirv = compileSource(program_source_head+program_gelu);
const static auto spirv = compileSource(program_source_head+program_gelu, __func__);
ggml_vk_xxlu(spirv, std::forward<Args>(args)...);
}
@ -514,120 +514,117 @@ void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml_cgraph
for (auto& sequence : sequences) {
sequence = mgr.sequence();
}
std::vector<std::thread> threads(n_seq);
for (int seq_idx = 0; seq_idx < n_seq; ++seq_idx) {
const int n_nodes_per_seq = (gf->n_nodes + n_seq - 1) / n_seq;
threads[seq_idx] = std::thread([&, seq_idx, n_nodes_per_seq] () {
size_t offs_src0 = 0;
size_t offs_src1 = 0;
size_t offs_dst = 0;
size_t offs_src0 = 0;
size_t offs_src1 = 0;
size_t offs_dst = 0;
auto& seq = *sequences[seq_idx];
auto& seq = *sequences[seq_idx];
const int node_start = (seq_idx + 0) * n_nodes_per_seq;
const int node_end = (seq_idx == n_seq - 1) ? gf->n_nodes : (seq_idx + 1) * n_nodes_per_seq;
const int node_start = (seq_idx + 0) * n_nodes_per_seq;
const int node_end = (seq_idx == n_seq - 1) ? gf->n_nodes : (seq_idx + 1) * n_nodes_per_seq;
for (int i = node_start; i < node_end; ++i) {
printf("%s: encoding node %3d, op = %8s\n", __func__, i, ggml_op_name(gf->nodes[i]->op));
for (int i = node_start; i < node_end; ++i) {
printf("%s: encoding node %3d, op = %8s\n", __func__, i, ggml_op_name(gf->nodes[i]->op));
struct ggml_tensor * src0 = gf->nodes[i]->src0;
struct ggml_tensor * src1 = gf->nodes[i]->src1;
struct ggml_tensor * dst = gf->nodes[i];
struct ggml_tensor * src0 = gf->nodes[i]->src0;
struct ggml_tensor * src1 = gf->nodes[i]->src1;
struct ggml_tensor * dst = gf->nodes[i];
const int64_t ne00 = src0 ? src0->ne[0] : 0;
const int64_t ne01 = src0 ? src0->ne[1] : 0;
const int64_t ne02 = src0 ? src0->ne[2] : 0;
const int64_t ne03 = src0 ? src0->ne[3] : 0;
const int64_t ne00 = src0 ? src0->ne[0] : 0;
const int64_t ne01 = src0 ? src0->ne[1] : 0;
const int64_t ne02 = src0 ? src0->ne[2] : 0;
const int64_t ne03 = src0 ? src0->ne[3] : 0;
const uint64_t nb00 = src0 ? src0->nb[0] : 0;
const uint64_t nb01 = src0 ? src0->nb[1] : 0;
const uint64_t nb02 = src0 ? src0->nb[2] : 0;
const uint64_t nb03 = src0 ? src0->nb[3] : 0;
const uint64_t nb00 = src0 ? src0->nb[0] : 0;
const uint64_t nb01 = src0 ? src0->nb[1] : 0;
const uint64_t nb02 = src0 ? src0->nb[2] : 0;
const uint64_t nb03 = src0 ? src0->nb[3] : 0;
const int64_t ne10 = src1 ? src1->ne[0] : 0;
const int64_t ne11 = src1 ? src1->ne[1] : 0;
const int64_t ne12 = src1 ? src1->ne[2] : 0;
const int64_t ne13 = src1 ? src1->ne[3] : 0; (void)ne13;
const int64_t ne10 = src1 ? src1->ne[0] : 0;
const int64_t ne11 = src1 ? src1->ne[1] : 0;
const int64_t ne12 = src1 ? src1->ne[2] : 0;
const int64_t ne13 = src1 ? src1->ne[3] : 0; (void)ne13;
const uint64_t nb10 = src1 ? src1->nb[0] : 0;
const uint64_t nb11 = src1 ? src1->nb[1] : 0;
const uint64_t nb12 = src1 ? src1->nb[2] : 0;
const uint64_t nb13 = src1 ? src1->nb[3] : 0; (void)nb13;
const uint64_t nb10 = src1 ? src1->nb[0] : 0;
const uint64_t nb11 = src1 ? src1->nb[1] : 0;
const uint64_t nb12 = src1 ? src1->nb[2] : 0;
const uint64_t nb13 = src1 ? src1->nb[3] : 0; (void)nb13;
const int64_t ne0 = dst ? dst->ne[0] : 0;
const int64_t ne1 = dst ? dst->ne[1] : 0;
const int64_t ne2 = dst ? dst->ne[2] : 0;
const int64_t ne3 = dst ? dst->ne[3] : 0;
const int64_t ne0 = dst ? dst->ne[0] : 0;
const int64_t ne1 = dst ? dst->ne[1] : 0;
const int64_t ne2 = dst ? dst->ne[2] : 0;
const int64_t ne3 = dst ? dst->ne[3] : 0;
const uint64_t nb0 = dst ? dst->nb[0] : 0;
const uint64_t nb1 = dst ? dst->nb[1] : 0;
const uint64_t nb2 = dst ? dst->nb[2] : 0;
const uint64_t nb3 = dst ? dst->nb[3] : 0;
const uint64_t nb0 = dst ? dst->nb[0] : 0;
const uint64_t nb1 = dst ? dst->nb[1] : 0;
const uint64_t nb2 = dst ? dst->nb[2] : 0;
const uint64_t nb3 = dst ? dst->nb[3] : 0;
const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT;
const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT;
const enum ggml_type dstt = dst ? dst->type : GGML_TYPE_COUNT;
const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT;
const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT;
const enum ggml_type dstt = dst ? dst->type : GGML_TYPE_COUNT;
std::shared_ptr<kp::Tensor> id_src0 = src0 ? ggml_vk_get_tensor(ctx, src0) : nullptr;
std::shared_ptr<kp::Tensor> id_src1 = src1 ? ggml_vk_get_tensor(ctx, src1) : nullptr;
std::shared_ptr<kp::Tensor> id_dst = dst ? ggml_vk_get_tensor(ctx, dst) : nullptr;
switch (dst->op) {
case GGML_OP_RESHAPE:
case GGML_OP_VIEW:
case GGML_OP_TRANSPOSE:
case GGML_OP_PERMUTE:
{
// noop
} break;
case GGML_OP_ADD:
{
ggml_vk_add(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_MUL:
{
if (ggml_nelements(src1) == ne10) {
// src1 is a row
ggml_vk_mul(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ne00, ggml_nelements(dst));
} else {
ggml_vk_mul(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ggml_nelements(dst));
}
} break;
case GGML_OP_SCALE:
{
const float scale = *(const float *) src1->data;
ggml_vk_scale(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst), scale);
} break;
case GGML_OP_SILU:
{
ggml_vk_silu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_RELU:
{
ggml_vk_relu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_GELU:
{
ggml_vk_gelu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
default:
fprintf(stderr, "%s: node %3d, op = %8s not implemented\n", __func__, i, ggml_op_name(dst->op));
//GGML_ASSERT(false);
}
const static std::shared_ptr<kp::Tensor> nullTensor = nullptr;
const std::shared_ptr<kp::Tensor>& id_src0 = src0 ? ggml_vk_get_tensor(ctx, src0) : nullTensor;
const std::shared_ptr<kp::Tensor>& id_src1 = src1 ? ggml_vk_get_tensor(ctx, src1) : nullTensor;
const std::shared_ptr<kp::Tensor>& id_dst = dst ? ggml_vk_get_tensor(ctx, dst) : nullTensor;
switch (dst->op) {
case GGML_OP_RESHAPE:
case GGML_OP_VIEW:
case GGML_OP_TRANSPOSE:
case GGML_OP_PERMUTE:
{
// noop
} break;
case GGML_OP_ADD:
{
ggml_vk_add(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_MUL:
{
if (ggml_nelements(src1) == ne10) {
// src1 is a row
ggml_vk_mul(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ne00, ggml_nelements(dst));
} else {
ggml_vk_mul(seq, id_src0, offs_src0, id_src1, offs_src1, id_dst, offs_dst, ggml_nelements(dst));
}
} break;
case GGML_OP_SCALE:
{
const float scale = *(const float *) src1->data;
ggml_vk_scale(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst), scale);
} break;
case GGML_OP_SILU:
{
ggml_vk_silu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_RELU:
{
ggml_vk_relu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
case GGML_OP_GELU:
{
ggml_vk_gelu(seq, id_src0, offs_src0, id_dst, offs_dst, ggml_nelements(dst));
} break;
//default:
//fprintf(stderr, "%s: node %3d, op = %8s not implemented\n", __func__, i, ggml_op_name(dst->op));
//GGML_ASSERT(false);
}
}
// Evaluate sequence
seq.eval();
});
// Evaluate sequence
seq.evalAsync();
}
// Wait for all threads to finish
for (auto& thread : threads) {
if (thread.joinable())
thread.join();
// Wait for all sequences to finish
for (auto& sequence : sequences) {
if (sequence->isRunning())
sequence->evalAwait();
}
}