o TiU@s8ddlZddlmZddlmZGdddejjZdS)N)CPUAdagradBuilder) should_log_lecsHeZdZdZdfdd Zdd Zfd d Zedd dZ Z S)DeepSpeedCPUAdagradr{Gz?绽|=FTcsft||||d}tt|||tj|_tjdt_||_t|_ |j |j|||t ddS)N)lreps weight_decayamsgradinfo) dictsuperr__init__ optimizer_idopt_idfp32_optimizer_statesrloadds_opt_adagradcreate_adagradr)self model_paramsrrr r r default_args __class__U/home/ubuntu/.local/lib/python3.10/site-packages/deepspeed/ops/adagrad/cpu_adagrad.pyrs  zDeepSpeedCPUAdagrad.__init__cCs|j|jdSN)rdestroy_adagradr)rrrr__del__szDeepSpeedCPUAdagrad.__del__cs,tt|||jD]}|ddq dS)Nr F)rr __setstate__ param_groups setdefault)rstategrouprrrr s z DeepSpeedCPUAdagrad.__setstate__Nc Csd}|durt |}Wdn1swYtd}t|jD]\}}t|dD]\}}|jdur;q1|j|ksIJd|jd|j|}t|dkrld|d<|jr^tj n|j } tj |j | dd|d <|dd 7<|jj d kr||j} |d |j} |j|j|d|d |d |d| |j| | || <| |d | <q1|j|j|d|d |d |d|j |jj |d q1q'|S)aUpdate the model parameters. .. note:: This method will be called internally by ZeRO-Offload. DeepSpeed users should still use ``engine.step()`` as shown in the `Getting Started `_ guide. Args: closure (callable, optional): closure to compute the loss. Defaults to ``None``. Returns: loss: if ``closure`` is provided. Otherwise ``None``. NcpuparamszCPUAdagrad param is on zY and must be 'cpu', make sure you enabled 'offload_optimizer': 'cpu' in your ZeRO config.rstep)dtypedevice exp_avg_sqr Trrr )torch enable_gradr) enumerater!gradr#lenrfloatr( zeros_likedata is_sparse sparse_maskradagrad_updatervaluesindices) rclosurelossr)group_idr$param_idpr# state_dtype sparse_paramsparse_exp_avg_sqrrrr'$s>       #zDeepSpeedCPUAdagrad.step)rrrFTr) __name__ __module__ __qualname__rrrr r+no_gradr' __classcell__rrrrr s r)r+deepspeed.ops.op_builderrdeepspeed.utils.loggingroptim Optimizerrrrrrs