Function set_backend_tensor_from_f32

src/framework/assets/tensor_source.cpp:202–224

    return bytes;
}

void set_tensor_bytes(ggml_tensor * tensor, const void * data, size_t bytes, std::string_view name) {
    if (tensor == nullptr) {
        throw std::runtime_error("cannot upload to a null backend tensor: " + std::string(name));
    }
    if (bytes != ggml_nbytes(tensor)) {
        throw std::runtime_error("backend tensor byte size mismatch for " + std::string(name));
    }
    ggml_backend_tensor_set(tensor, data, 0, bytes);
}

std::vector<float> decode_tensor_data_f32(std::string_view name, const TensorData & tensor) {
    if (tensor.type == GGML_TYPE_F32) {
        if (tensor.bytes.size() != static_cast<size_t>(tensor.shape.num_elements()) * sizeof(float)) {
            throw std::runtime_error("invalid F32 tensor byte size: " + std::string(name));
        }
        std::vector<float> values(static_cast<size_t>(tensor.shape.num_elements()));
        std::memcpy(values.data(), tensor.bytes.data(), tensor.bytes.size());
        return values;
    }
    if (tensor.type == GGML_TYPE_F16) {
        if (tensor.bytes.size() != static_cast<size_t>(tensor.shape.num_elements()) * sizeof(ggml_fp16_t)) {
            throw std::runtime_error("invalid F16 tensor byte size: " + std::string(name));
        }
        std::vector<float> values(static_cast<size_t>(tensor.shape.num_elements()));
        ggml_fp16_to_fp32_row(