enginex-ascend-910-llama.cpp/ggml/src/ggml-zdnn/utils.cpp

#include "ggml.h"
#include "utils.hpp"

zdnn_data_types ggml_zdnn_type_mapping(ggml_type type) {
    switch (type) {
        case GGML_TYPE_F32:
            return FP32;
        case GGML_TYPE_F16:
            return FP16;
        case GGML_TYPE_BF16:
            return BFLOAT;
        case GGML_TYPE_Q8_0:
            return INT8;
        case GGML_TYPE_I8:
            return INT8;
        case GGML_TYPE_I32:
            return INT32;
        default:
            GGML_ABORT("%s: fatal: unable to determine zTensor data type",
                       __func__);
            break;
    }
}

void ggml_zdnn_create_tensor(zdnn_tensor_desc  & pre_tfm_desc,
                             zdnn_tensor_desc  & tfm_desc,
                             zdnn_ztensor      & ztensor,
                       const ggml_tensor       * src,
                       const int64_t           * ne,
                       const zdnn_data_layouts   layout) {
    zdnn_init_pre_transformed_desc(
        layout,
        ggml_zdnn_type_mapping(src->type),
        &pre_tfm_desc,
        ne[3], ne[2], ne[1], ne[0]
    );

    ZDNN_CHECK(zdnn_generate_transformed_desc(&pre_tfm_desc, &tfm_desc));
    ZDNN_CHECK(zdnn_init_ztensor_with_malloc(&pre_tfm_desc, &tfm_desc, &ztensor));
}

void ggml_zdnn_load_tensor(zdnn_ztensor & ztensor, void * buffer) {
    ZDNN_CHECK(zdnn_transform_ztensor(&ztensor, buffer));
}

void ggml_zdnn_init_tensor(ggml_backend_zdnn_buffer * buffer, const ggml_tensor * tensor) {
    switch (tensor->op) {
        case GGML_OP_MUL_MAT:
            {
                zdnn_init_pre_transformed_desc(
                    ZDNN_2D,
                    ggml_zdnn_type_mapping(tensor->type),
                    &buffer->pre_tfm_desc,
                    tensor->ne[1], tensor->ne[0]
                );
            } break;

        default:
            {
                // For 4D tensors, GGML uses NCHW layout. However, because zDNN
                // automatically transforms everything to NHWC, we will use it
                // directly to avoid the performance penalty changing the
                // layout and reshaping the tensor.
                zdnn_init_pre_transformed_desc(
                    ZDNN_NHWC,
                    ggml_zdnn_type_mapping(tensor->type),
                    &buffer->pre_tfm_desc,
                    tensor->ne[3], tensor->ne[2], tensor->ne[1], tensor->ne[0]
                );

                // TODO: Consider adding a ggml check.
                // TODO: If tensor = 4D, use ZDNN_NCHW by default.
                // TODO: If tensor = 2D, use ZDNN_NHWC by default.
            } break;
    }

    ZDNN_CHECK(zdnn_generate_transformed_desc(&buffer->pre_tfm_desc, &buffer->tfm_desc));
    ZDNN_CHECK(zdnn_init_ztensor_with_malloc(&buffer->pre_tfm_desc, &buffer->tfm_desc, &buffer->ztensor));
}