o 2h'@s ddlZddlmZddlmZddlmZddlm Z ddl m Z ddl mZdd Zd8d d Zd8d dZd9ddZddZd8ddZd:ddZddZddZddZdd Z d!d"Zd;d#d$Zd;d%d&Z dd4d5Z!d6d7Z"dS)?N)standardize_dtype)dtypes)fft)fft2)convert_to_tensor)scipyc Cs|dur t|d}|dk}||}||}t|j}||d<|tjkr2tj||jdtj } ntj||jd} |rE| | ||| St |} || } || } | | | | | S)Nrdtype) npamaxlistshapemaximumonesr infzerosatargsort) data segment_idsreduction_method num_segmentssorted valid_indices valid_datavalid_segment_ids data_shaperesult sort_indicessorted_segment_ids sorted_datar"W/var/www/html/chatgem/venv/lib/python3.10/site-packages/keras/src/backend/numpy/math.py_segment_reduction_fn s&   r$FcCt||tj||SN)r$r addrrrrr"r"r# segment_sum+ r)cCr%r&)r$r rr(r"r"r# segment_max1r*r+TcCs|r,tj|ddddddf}tj||dd}|dd|f}|dd|f}||fStj|| ddd| df}tj||dd}||fS)Naxis.)r rtake_along_axis argpartition)xkrsorted_indices sorted_values top_k_values top_k_indicesr"r"r#top_k7s r7cCsD|dddf}t||d}tj||dd}||k}tj|ddS)Nrr,r-)r7r r/any)targets predictionsr2 topk_valuestargets_valuesmaskr"r"r#in_top_kFs r>cCstjj|||dS)N)r.keepdims)rspecial logsumexp)r1r.r?r"r"r#rANrAreducedcCs&|dvr td|tjj||dS)N>rCcompletez]`mode` argument value not supported. Expected one of {'reduced', 'complete'}. Received: mode=mode) ValueErrorr linalgqr)r1rFr"r"r#rIRsrIcCs|j^}}t|}|jdd|jd||||f}|jdd||jd|jdf}tjjj|||d}t|g||jddRS)Nr,)rstrides)rr rJr lib stride_tricks as_stridedreshape)r1sequence_lengthsequence_stride batch_shape_rrJr"r"r#extract_sequences\s     rTcCst|ttfr t|dkrtd||\}}|j|jkr*td|jd|jt|jtj r:t|jtj sBtd|d|d|}|S)NzLInput `x` should be a tuple of two tensors - real and imaginary.Received: x=zInput `x` should be a tuple of two tensors - real and imaginary.Both the real and imaginary parts should have the same shape. Received: x[0].shape = z, x[1].shape = zBAt least one tensor in input `x` is not of type float.Received: x=.y?) isinstancetupler lenrGrr issubdtyper floating)r1realimag complex_inputr"r"r#_get_complex_tensor_from_tupleks2  r_cC t|\}}t|t|fSr&)jax_fftr arrayr1r\r]r"r"r#r rcCr`r&)jax_fft2r rbrcr"r"r#rrdrcCs(t|}tj|}t|t|fSr&)r_r rifft2r\r])r1r^complex_outputr"r"r#rfs rfcCs8tjj||ddd}t||jt||jfS)Nr,backwardnr.norm)r rrfftr\astyper r])r1 fft_lengthrgr"r"r#rlsrlcCs(t|}tjj||ddd|djS)Nr,rhrir)r_r rirfftrmr )r1rnr^r"r"r#ros  rohannc Cst|jdvrtd|j||krtd|d|t|tr-|dvr-td|t|}|j}|rTddtt|j D}|d |d f|d <t j ||d d }||d }|||} |durt|trvtt j |||jd } nt||jd } t| j dks| j d |krtd| j t | || gg} n t j||| |jd } t j j|d| ||| ||| ||dddd }|t d| d }t |dd }t ||t ||fS)N>float32float64zJInvalid input type. Expected `float32` or `float64`. Received: input type=zT`fft_length` must equal or larger than `sequence_length`. Received: sequence_length=z , fft_length=>rphammingz]If a string is passed to `window`, it must be one of `"hann"`, `"hamming"`. Received: window=cSsg|]}dqS))rrr").0rSr"r"r# szstft..rUr,reflectrEr rPThe shape of `window` must be equal to [sequence_length].Received: window shape=?F)fswindownpersegnoverlapnfftboundarypaddedrK)rr TypeErrorrGrWstrrrangerYrr padrsignal get_windowrstftsqrtsumswapaxesr\rmr]) r1rPrQrnrzcenter ori_dtype pad_widthl_padr_padwinr"r"r#rst        rc Csnt|}t|j}|||jdd}||d} ||| } |dur\t|tr6ttj |||d} nt||d} t | jdksJ| jd|krRt d| jt | | | gg} n tj|| | |d} tj j|d| || | || | ||dddd d}|dur|| n||}|durd n|d} |dur| |} n |d ur|d } n|} |d | | fS) NrKrrUr r,rwrxF)ryrzr{r|r}r~ time_axis freq_axisrT.)r_r r\r rrWrrrrrrYrGrristftr)r1rPrQrnlengthrzrr expected_output_lenrrrstartendr"r"r#rsP          rcCsdt|S)Nrx)r rr1r"r"r#rsqrt!srcCttj|Sr&)r rbrr@erfrr"r"r#r%rBrcCrr&)r rbrr@erfinvrr"r"r#r)rBrcCst|}t|}tj||Sr&)rr rHsolve)abr"r"r#r-srcCsJt|}t|j}d|vs|dkrt|jd}tjj||||d|S)Nintboolrq)ordr.r?) rrr r result_typer rHrkrm)r1rr.r?r r"r"r#rk3s rkcCsddlm}||dS)Nr)slogdetr)keras.src.backend.numpy.numpyr)r1rr"r"r#logdet=s  r)NF)T)rCr&)rpT)NrpT)NNF)#numpyr keras.src.backendrkeras.src.backend.commonrkeras.src.backend.jax.mathrrarrekeras.src.backend.numpy.corerkeras.src.utils.module_utilsrr$r)r+r7r>rArIrTr_rfrlrorrrrrrrkrr"r"r"r#sB              E 9