o TiQ@sdddlZddlZddlmZddlZddlmZddlmZdaGdddeZ Gddde Z dS) N)ABC)FPQuantizerBuilder)get_acceleratorc@sTeZdZdZddddZej   ddejfd d Z ejddejfd d Z dS) Quantizerz Abstract Quantizer class that implements quantize/dequantize methods. Arguments: group_size (int, optional): number of values or elements that are grouped together for the quantization process. returnNcCs ||_dSN group_size)selfr r W/home/ubuntu/.local/lib/python3.10/site-packages/deepspeed/ops/fp_quantizer/quantize.py__init__s zQuantizer.__init__FcCdSrr )r inputq_bitsq_mantisa_bitsstochastic_modereturn_meta_tensorr r r quantizeszQuantizer.quantizecCrrr r input_qfp_outrrscaler r r dequantize&szQuantizer.dequantize)rrNrrFFNrrN) __name__ __module__ __qualname____doc__rabcabstractmethodtorchTensorrrr r r r rs  rcsteZdZdfdd Z    ddejfdd Zd d Zd d ZddejfddZ    ddejfddZ Z S) FP_QuantizerNcsRtj|jdtdurtattdd|_||_d|_ d|_ d|_ d|_ dS)Nr CUDA_IMPLT) superrr fp_quant_modulerloadgetattr cuda_implq_config orig_dtype num_groupsrr)r quantization_config __class__r r r-s  zFP_Quantize.__init__rrFcCs,|jtjks Jd|r|dksJd|j|_|j|_|dkr!n|dkr(d}n|dkr/d}n|dkr6d}nJd |d ||j|_tj |jt |j|ddtj |j d |_ t|j ||j|||}|r|j|jd d\}|_||j}|j|_|` ~tt||jfS|S)Nzonly support bf16 for nowrz*meta tensor is only supported with q_bit=8 rMissing zZ-quantization, please add the template arguments for the kernel to support this precision!dtypedevicedim)r<r&bfloat16r0shape orig_shapenumelr r1onesintuint8r=rr+rsplitr contiguousreshapegccollectr empty_cache)r rrrrroutdatar r r r:sB    zFP_Quantize.quantizecOsDt|dr|jj|i||_t|dr |jj|i||_dSdS)Nrr)hasattrrtor)r argskwargsr r r rQds  zFP_Quantize.tocCst|j|jSr)r+ get_scalesrr1)r r r r rTkszFP_Quantize.get_scalescCs|jdus Jd|durtj|j|j|jdn|}|dkrn|dkr&d}n|dkr-d}n|dkr4d}nJd |d |dur\||ksLJd tj|d |j|gd d }t |||j|||d|S)NG[De-quantization Error]: you need to call quantize before dequantizing!r;rr5r6r7r8r9rr:\-dequantization, please add the template arguments for the kernel to support this precision!l[De-quantization Error]: quantized data should have the same size as original tensor when scale is not None!r>r?) r0r&emptyrCr=rDcatrJr rIr+rrr r r rns6    zFP_Quantize.dequantizec Cst|drt|jdksJd|jdusJd|dur3tj|jdg|jddR|j|jdn|}|dkr:n|d krAd }n|d krHd }n|d krOd}nJd |d|durw||ksgJdtj | d|j |gdd }t ||||j |||d|S)NrCrzoSelective-Dequantization works on 3d tensor only! Please reshape the tensor before calling dequantize function.rUrr9r;rr5r6r7r8r:rVrWr>r?)rPlenrCr0r&rXrBr=rDrYrJr rIr+selective_dequantize)r rindexesrrrrr r r r[sF      z FP_Quantize.selective_dequantizerrr) r r!r"rr&r'rrQrTrr[ __classcell__r r r3r r(+s& *r() r&r$rrKdeepspeed.ops.op_builderrdeepspeed.acceleratorrr+rr(r r r r s