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synced 2025-01-10 10:41:47 +00:00
ggml : rename ggml_internal_get_type_traits -> ggml_get_type_traits
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it's not really internal if everybody uses it
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@ -314,7 +314,7 @@ struct lora_merge_ctx {
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// optionally dequantize it
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printf("%s : + dequantize base tensor from %s to F32\n", __func__, ggml_type_name(base->type));
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auto nels = ggml_nelements(inp_base);
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const auto * qtype = ggml_internal_get_type_traits(base->type);
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const auto * qtype = ggml_get_type_traits(base->type);
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std::vector<uint8_t> dequant_buf(nels * sizeof(float));
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qtype->to_float(read_buf.data(), (float *)dequant_buf.data(), nels);
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ggml_backend_tensor_set(inp_base, dequant_buf.data(), 0, dequant_buf.size());
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@ -371,7 +371,7 @@ int main(int argc, char ** argv) {
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if (!params.include_types.empty() && std::find(params.include_types.begin(), params.include_types.end(), i) == params.include_types.end()) {
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continue;
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}
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const auto * qfns = ggml_internal_get_type_traits(type);
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const auto * qfns = ggml_get_type_traits(type);
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if (qfns->from_float && qfns->to_float) {
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if (params.verbose) {
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printf("testing %s ...\n", ggml_type_name(type));
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@ -2553,7 +2553,7 @@ extern "C" {
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ggml_gemm_t gemm;
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};
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GGML_API const struct ggml_type_traits * ggml_internal_get_type_traits(enum ggml_type type);
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GGML_API const struct ggml_type_traits * ggml_get_type_traits(enum ggml_type type);
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#ifdef __cplusplus
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}
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@ -1177,7 +1177,7 @@ static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const st
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op->type != GGML_TYPE_IQ1_S &&
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op->type != GGML_TYPE_IQ1_M; // missing type_traits.from_float
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case GGML_OP_MUL_MAT:
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return op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == ggml_internal_get_type_traits(op->src[0]->type)->vec_dot_type;
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return op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == ggml_get_type_traits(op->src[0]->type)->vec_dot_type;
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case GGML_OP_ROPE_BACK:
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return op->src[2] == NULL && (op->op_params[2] & 4) == 0;
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case GGML_OP_IM2COL_BACK:
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@ -65,7 +65,7 @@ static void ggml_backend_blas_mul_mat(ggml_backend_blas_context * ctx, struct gg
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// convert src0 to float
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if (type != GGML_TYPE_F32) {
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const auto * type_traits = ggml_internal_get_type_traits(type);
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const auto * type_traits = ggml_get_type_traits(type);
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ggml_to_float_t const to_float = type_traits->to_float;
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for (int64_t i03 = 0; i03 < ne03; i03++) {
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@ -424,7 +424,7 @@ static bool ggml_backend_blas_device_supports_op(ggml_backend_dev_t dev, const s
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ggml_is_contiguous(src1) &&
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src1->type == GGML_TYPE_F32 &&
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(ne0 >= min_batch && ne1 >= min_batch && ne10 >= min_batch) &&
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(src0->type == GGML_TYPE_F32 || ggml_internal_get_type_traits(src0->type)->to_float != NULL);
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(src0->type == GGML_TYPE_F32 || ggml_get_type_traits(src0->type)->to_float != NULL);
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}
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case GGML_OP_OUT_PROD:
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@ -434,7 +434,7 @@ static bool ggml_backend_blas_device_supports_op(ggml_backend_dev_t dev, const s
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ggml_is_matrix(src1) &&
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ggml_is_contiguous(src0) &&
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(ggml_is_contiguous(src1) || ggml_is_transposed(src1)) &&
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(src0->type == GGML_TYPE_F32 || ggml_internal_get_type_traits(src0->type)->to_float != NULL);
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(src0->type == GGML_TYPE_F32 || ggml_get_type_traits(src0->type)->to_float != NULL);
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default:
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return false;
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@ -5287,7 +5287,7 @@ static void ggml_vk_dequantize_data(const void * from, float * to, size_t ne, gg
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return;
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}
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const auto * tt = ggml_internal_get_type_traits(quant);
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const auto * tt = ggml_get_type_traits(quant);
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ggml_to_float_t dequant_fn = tt->to_float;
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@ -1151,7 +1151,7 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
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};
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// For internal test use
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const struct ggml_type_traits * ggml_internal_get_type_traits(enum ggml_type type) {
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const struct ggml_type_traits * ggml_get_type_traits(enum ggml_type type) {
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GGML_ASSERT(type < GGML_TYPE_COUNT);
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return &type_traits[type];
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}
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@ -136,7 +136,7 @@ int main(int argc, char** argv) {
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auto ggml_type = type == 0 ? GGML_TYPE_Q4_0 : GGML_TYPE_Q4_1;
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const auto * funcs = ggml_internal_get_type_traits(ggml_type);
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const auto * funcs = ggml_get_type_traits(ggml_type);
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Stat simple, ggml;
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@ -236,7 +236,7 @@ int main(int argc, char** argv) {
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int n4 = useQ4_1 ? kVecSize / QK4_1 : kVecSize / QK4_0; n4 = 64*((n4 + 63)/64);
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int n8 = kVecSize / QK8_0; n8 = 64*((n8 + 63)/64);
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const auto * funcs = useQ4_1 ? ggml_internal_get_type_traits(GGML_TYPE_Q4_1) : ggml_internal_get_type_traits(GGML_TYPE_Q4_0);
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const auto * funcs = useQ4_1 ? ggml_get_type_traits(GGML_TYPE_Q4_1) : ggml_get_type_traits(GGML_TYPE_Q4_0);
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std::vector<block_q4_0> q40;
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std::vector<block_q4_1> q41;
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@ -282,7 +282,7 @@ int main(int argc, char** argv) {
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dot_q4_q8(kVecSize, &result, q40.data(), q8.data());
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}
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else {
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const auto * vdot = ggml_internal_get_type_traits(funcs->vec_dot_type);
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const auto * vdot = ggml_get_type_traits(funcs->vec_dot_type);
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vdot->from_float(y1.data(), q8.data(), kVecSize);
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if (useQ4_1) funcs->vec_dot(kVecSize, &result, 0, q41.data(), 0, q8.data(), 0, 1);
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else funcs->vec_dot(kVecSize, &result, 0, q40.data(), 0, q8.data(), 0, 1);
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@ -17872,7 +17872,7 @@ static void llama_tensor_dequantize_internal(
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}
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float * f32_output = (float *) output.data();
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const ggml_type_traits * qtype = ggml_internal_get_type_traits(tensor->type);
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const ggml_type_traits * qtype = ggml_get_type_traits(tensor->type);
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if (ggml_is_quantized(tensor->type)) {
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if (qtype->to_float == NULL) {
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throw std::runtime_error(format("type %s unsupported for integer quantization: no dequantization available", ggml_type_name(tensor->type)));
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@ -133,7 +133,7 @@ static std::vector<float> tensor_to_float(const ggml_tensor * t) {
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std::vector<uint8_t> buf(ggml_nbytes(t));
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ggml_backend_tensor_get(t, buf.data(), 0, ggml_nbytes(t));
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const auto * tt = ggml_internal_get_type_traits(t->type);
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const auto * tt = ggml_get_type_traits(t->type);
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size_t bs = ggml_blck_size(t->type);
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std::vector<float> vq(ggml_blck_size(t->type));
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bool quantized = ggml_is_quantized(t->type);
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@ -83,7 +83,7 @@ static float dot_product_error(
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std::vector<uint8_t> tmp_q1(2*test_size);
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std::vector<uint8_t> tmp_q2(2*test_size);
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const auto * vdot = ggml_internal_get_type_traits(qfns->vec_dot_type);
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const auto * vdot = ggml_get_type_traits(qfns->vec_dot_type);
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qfns->from_float(test_data1, tmp_q1.data(), test_size);
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vdot->from_float(test_data2, tmp_q2.data(), test_size);
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@ -131,7 +131,7 @@ int main(int argc, char * argv[]) {
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for (int i = 0; i < GGML_TYPE_COUNT; i++) {
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ggml_type type = (ggml_type) i;
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const auto * qfns = ggml_internal_get_type_traits(type);
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const auto * qfns = ggml_get_type_traits(type);
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// deprecated - skip
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if (qfns->blck_size == 0) {
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@ -122,7 +122,7 @@ static void usage(char * argv[]) {
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printf(" --type TYPE set test type as");
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for (int i = 0; i < GGML_TYPE_COUNT; i++) {
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ggml_type type = (ggml_type) i;
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const auto * qfns = ggml_internal_get_type_traits(type);
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const auto * qfns = ggml_get_type_traits(type);
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if (ggml_type_name(type) != NULL) {
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if (qfns->from_float && qfns->to_float) {
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printf(" %s", ggml_type_name(type));
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@ -270,7 +270,7 @@ int main(int argc, char * argv[]) {
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for (int i = 0; i < GGML_TYPE_COUNT; i++) {
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ggml_type type = (ggml_type) i;
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const auto * qfns = ggml_internal_get_type_traits(type);
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const auto * qfns = ggml_get_type_traits(type);
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if (!params.include_types.empty() && ggml_type_name(type) && std::find(params.include_types.begin(), params.include_types.end(), ggml_type_name(type)) == params.include_types.end()) {
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continue;
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}
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@ -328,7 +328,7 @@ int main(int argc, char * argv[]) {
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for (size_t size : params.test_sizes) {
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printf(" %zu values (%.2f MB)\n", size, 4*size/(float)(1024*1024));
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auto quantize_fn = [&](void) -> float {
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const auto * vdot = ggml_internal_get_type_traits(qfns->vec_dot_type);
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const auto * vdot = ggml_get_type_traits(qfns->vec_dot_type);
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vdot->from_float(test_data1, test_q1, size);
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return test_q1[0];
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};
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