From 60f16c16355bf5b5253eab2746b32d5bb4315b1f Mon Sep 17 00:00:00 2001 From: Demirrr Date: Tue, 26 Nov 2024 09:06:07 +0000 Subject: [PATCH] deploy: adf6dc73646e5755046c45ca192df72f83311ea7 --- _modules/dicee/models/ensemble.html | 11 ++++--- _modules/dicee/trainer/model_parallelism.html | 31 ++++++++++-------- _sources/autoapi/dicee/index.rst.txt | 5 +++ .../dicee/models/ensemble/index.rst.txt | 5 +++ .../trainer/model_parallelism/index.rst.txt | 2 +- autoapi/dicee/index.html | 6 ++++ autoapi/dicee/models/ensemble/index.html | 5 +++ .../trainer/model_parallelism/index.html | 2 +- diceembeddings.pdf | Bin 824101 -> 824311 bytes genindex.html | 8 +++-- objects.inv | Bin 13300 -> 13309 bytes searchindex.js | 2 +- 12 files changed, 54 insertions(+), 23 deletions(-) diff --git a/_modules/dicee/models/ensemble.html b/_modules/dicee/models/ensemble.html index 6a77376f..35c28c37 100644 --- a/_modules/dicee/models/ensemble.html +++ b/_modules/dicee/models/ensemble.html @@ -91,11 +91,6 @@

Source code for dicee.models.ensemble

 import torch
 import copy
 
-import torch._dynamo
-
-torch._dynamo.config.suppress_errors = True
-
-
 
[docs] class EnsembleKGE: @@ -209,6 +204,12 @@

Source code for dicee.models.ensemble

         for opt in self.optimizers:
             opt.step()
+ +
+[docs] + def get_embeddings(self): + raise NotImplementedError("Not yet Implemented")
+ """ def __getattr__(self, name): diff --git a/_modules/dicee/trainer/model_parallelism.html b/_modules/dicee/trainer/model_parallelism.html index f55b3749..ab07405d 100644 --- a/_modules/dicee/trainer/model_parallelism.html +++ b/_modules/dicee/trainer/model_parallelism.html @@ -118,11 +118,15 @@

Source code for dicee.trainer.model_parallelism

<
[docs] -def find_good_batch_size(train_loader,ensemble_model,max_available_gpu_memory:float=0.05): +def find_good_batch_size(train_loader,ensemble_model, max_available_gpu_memory:float=0.1): # () Initial batch size batch_size=train_loader.batch_size + if batch_size >= len(train_loader.dataset): + return batch_size + first_batch_size = train_loader.batch_size + print("Automatic batch size finding") - for n in range(200): + while True: # () Initialize a dataloader with a current batch_size train_dataloaders = torch.utils.data.DataLoader(train_loader.dataset, batch_size=batch_size, @@ -136,25 +140,26 @@

Source code for dicee.trainer.model_parallelism

< worker_init_fn=None, persistent_workers=False) loss=None + avg_global_free_memory=[] for i, z in enumerate(train_dataloaders): loss = forward_backward_update_loss(z,ensemble_model) - break - global_free_memory, total_memory = torch.cuda.mem_get_info() - available_gpu_memory = global_free_memory / total_memory - print(f"Random Batch Loss: {loss}\tFree/Total GPU Memory: {available_gpu_memory}\tBatch Size:{batch_size}") + global_free_memory, total_memory = torch.cuda.mem_get_info() + avg_global_free_memory.append(global_free_memory / total_memory) + if i==3: + break + + avg_global_free_memory=sum(avg_global_free_memory)/len(avg_global_free_memory) + print(f"Random Batch Loss: {loss}\tFree/Total GPU Memory: {avg_global_free_memory}\tBatch Size:{batch_size}") # () Stepping criterion - if available_gpu_memory > max_available_gpu_memory and batch_size < len(train_loader.dataset) : + if avg_global_free_memory > max_available_gpu_memory and batch_size < len(train_loader.dataset) : # Increment the current batch size - batch_size+=batch_size + batch_size+=first_batch_size else: if batch_size >= len(train_loader.dataset): print("Batch size equals to the training dataset size") else: - print(f"Max GPU memory used\tFree/Total GPU Memory:{available_gpu_memory}") - - return batch_size - - raise RuntimeError("The computation should be here!")
+ print(f"Max GPU memory used\tFree/Total GPU Memory:{avg_global_free_memory}") + return batch_size
diff --git a/_sources/autoapi/dicee/index.rst.txt b/_sources/autoapi/dicee/index.rst.txt index bf31fa70..25613464 100644 --- a/_sources/autoapi/dicee/index.rst.txt +++ b/_sources/autoapi/dicee/index.rst.txt @@ -2047,6 +2047,11 @@ Package Contents .. py:method:: step() + .. py:method:: get_embeddings() + :abstractmethod: + + + .. py:method:: __str__() diff --git a/_sources/autoapi/dicee/models/ensemble/index.rst.txt b/_sources/autoapi/dicee/models/ensemble/index.rst.txt index 7eb8b9b6..62ab45ba 100644 --- a/_sources/autoapi/dicee/models/ensemble/index.rst.txt +++ b/_sources/autoapi/dicee/models/ensemble/index.rst.txt @@ -73,6 +73,11 @@ Module Contents .. py:method:: step() + .. py:method:: get_embeddings() + :abstractmethod: + + + .. py:method:: __str__() diff --git a/_sources/autoapi/dicee/trainer/model_parallelism/index.rst.txt b/_sources/autoapi/dicee/trainer/model_parallelism/index.rst.txt index dbad67c3..c8ef0923 100644 --- a/_sources/autoapi/dicee/trainer/model_parallelism/index.rst.txt +++ b/_sources/autoapi/dicee/trainer/model_parallelism/index.rst.txt @@ -27,7 +27,7 @@ Module Contents .. py:function:: extract_input_outputs(z: list, device=None) -.. py:function:: find_good_batch_size(train_loader, ensemble_model, max_available_gpu_memory: float = 0.05) +.. py:function:: find_good_batch_size(train_loader, ensemble_model, max_available_gpu_memory: float = 0.1) .. py:function:: forward_backward_update_loss(z: Tuple, ensemble_model) diff --git a/autoapi/dicee/index.html b/autoapi/dicee/index.html index 2b0c3efd..bb2be810 100644 --- a/autoapi/dicee/index.html +++ b/autoapi/dicee/index.html @@ -401,6 +401,7 @@
  • EnsembleKGE.mem_of_model()
  • EnsembleKGE.__call__()
  • EnsembleKGE.step()
  • +
  • EnsembleKGE.get_embeddings()
  • EnsembleKGE.__str__()
  • @@ -3259,6 +3260,11 @@

    Output step()[source]
    +
    +
    +abstract get_embeddings()[source]
    +
    +
    __str__()[source]
    diff --git a/autoapi/dicee/models/ensemble/index.html b/autoapi/dicee/models/ensemble/index.html index 090e66ad..11fc1d67 100644 --- a/autoapi/dicee/models/ensemble/index.html +++ b/autoapi/dicee/models/ensemble/index.html @@ -243,6 +243,11 @@

    Module Contentsstep()[source]

    +
    +
    +abstract get_embeddings()[source]
    +
    +
    __str__()[source]
    diff --git a/autoapi/dicee/trainer/model_parallelism/index.html b/autoapi/dicee/trainer/model_parallelism/index.html index d2788fd8..fa7ad699 100644 --- a/autoapi/dicee/trainer/model_parallelism/index.html +++ b/autoapi/dicee/trainer/model_parallelism/index.html @@ -174,7 +174,7 @@

    Module Contents
    -dicee.trainer.model_parallelism.find_good_batch_size(train_loader, ensemble_model, max_available_gpu_memory: float = 0.05)[source]
    +dicee.trainer.model_parallelism.find_good_batch_size(train_loader, ensemble_model, max_available_gpu_memory: float = 0.1)[source]

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    G

  • get_embeddings() (dicee.BaseKGE method)
      +
    • get_entity_index() (dicee.abstracts.BaseInteractiveKGE method) +
    • get_er_vocab() (in module dicee)
        diff --git a/objects.inv b/objects.inv index d7d186d926aa2bde8d42225adfc8a3cc149e4b75..954573adc60746e7e878339b4d7862fdf36c6aa6 100644 GIT binary patch delta 5487 zcmV-#6_D!mXZ>fepay@$c}I4Ukd9Mbr~}vgW6*Z-3`YSJ*v9DVL{!%Rg+U)e?kRV1 z5(%DS8q+$=U^_?~f{Xf$1mYmj5b!htS4EtZH5gP!GY#H8&0c>J9&I_>iXh)1kicg# z4L}h*H^*1NGqDy)`EM|;|K+|1Y*8S`LT8nk6e)-mw7%#J6b@$Ey$ES)u+tE`bcws6 zgs>{~i=(u7k#>eADV&gF=I0Q+`r6dEjK}ijkV!NV#(4@!1tM<=f_onrl_5Bji6y zMAf!SJHF=>aA*E?Sg?+hIR>ur@N}&&q&OC7e?7`iEaWes4>U)G9W1lt0WVUtwWCxj za0Z>8M>^N!X(5FQ0w4p`Qn~~l2r(4-k=nEVZ!-t@AC;}Z^V&XOdgLs&L2N!^t>Gc(`2lz_jRr-~{4fHF;pm6Om46ax3pljaH|0z(>;3kw3P*2k~kZqIv3@isj(W;|5ou8904Hg2p zYLiC|A6KMKE4&iaS8H8Gy}1!5GHhi=B95)jrZ8jY@ilR_AG`_~AId>h6`jfp4G6H0ulkp8N z2%?jW?^vq55R)hl9RYchMh+qb8lB0m8Fs4^ROC`?I3u3ctT3A({(JjYp)2cd;>KQC{i;?HYX zW?37jvBG!CkAmiMN}hscgY5{gtj;z(me4-;8yC(X5%GAltTcvY(Lr1k<7ndUg%#hCnc}nY^7f> zx$v$%t-L1T)%`+S8ZeT8s%ny!e%un;0I9n`k|P$f25lHllVvLR9m+jiSx zS+{ZuFxMF^*~x!bcY6PHR@`P2bymS45A7(CErWf;M?4kmNCeO8F7}8yZC~cm(OTOI zcuHrNd_1LnE?punmpr?8N^9kYr-GiR*)yN=s?LkeQ&}6Cc`9x8jt{faau|OexY^d( z8L(KE8^0_L8%Qt*OwxntY_}E&0>_;zoC&yng%dg}M>KzxwQ>S8SxZnb15|J#2q8O9 zcRF8^bP++ih#Xx&j4mrheGAdWWa!c&bU6vSm;m)IKbIDt%Sz7&tFt>G?z$T})I(Q2 z01pXCm~8jRP%_t3NhpuUrDF(AKlEZWvrU#H*$Y>RiKUoLxnQ}FdncP1`2>w|IV^?J zc^kX)PBnjVde8Ey&mA5*Q&JprqFX%$-ee)2-mJ>R^g!awsVEO0l$myyO7vY>7Ew9|EzBQ|cBIkN@|boT}M@ zXs~KDZwtAPPdsc5ylWgBH*`NExGqj3Nre1E1ZjV9OEfhMn75fx!;`PM8kcy?YE&wj zTa?mp3_I`PCslp7w2jK|mIoLA_6uW7NA+b)rhapK)cJ2L3B*~3;l0%aFJi3K~)6Fcb;rM zl%={=FjLNh#2H}HD$VI2o{lTTu@%fvlVUfsk_pu56Hs1dRN0IoKYKq14tWp$Po>W9%A+3x2$fBSOSb5C3 z3TK;cjocbNO&yix5`3VkN@O2RGV*bpT z?828x4-^WrQ_Qlh2=bk0Hn}ysiD!QlArTLoy91-*nO)fwM4LECm@eaagybJsDK}02 zKS?n?2gwrCp*d~WJs3}3mebIcOEHP8N~49ylDH^u%4*tSh=eE$7W<|Sl@z#9Ep&a; z9)efJr1seUXa9V*5egRbXLUov%8VJE;-6LUWD$i@1kX!Jk1o}MQ?lTEiGF{SqH&vK zk3qs3LXY316dB8da_9fUOk$sfxReaOQR3Kh|5fQB$d}+)#I%vd#zF)1B4TN5ByqY& zuUfg0ip;UE{C9KP>9#`>TG6jE3=+;hW^kr108ilydRfGSnhKx9s!} z%tAOvfiHw}9GbJ3@wR_aGzvGdJhu&Vj^nv$m{T5f)2cE~pi^Ddg->u*dmZF?a%6&s zaW3Le>gr5rdCDh`PMuoi(wtBhk%pqN5`rd0@td`y?w3q;Oy}|W^6gR1L+U=M2vQYW zEZp&MU#qv}8>8RLb7R%LVGG1tw?MpUALxG=*D|?15h6IgVLN~FINT@v4I9wgs4d?L z!>zsiHbQv@Xq*`@KYy*!`@z3TYc6*)7>O^iT#ZeySt8^ZlgylZq!2kYpSoU~1QW!G_`a^Z=mgz+@WGim#=Ac>!+ zM`MC;oT+C-nKge9h;4P?a|S1fPkVkUb8??%FA0yf{N#X)WqRhOi0QC4!oKSOOPKQr zNB{u)MLdpSu>glFhf=7QlT*`_n4XfR%vzVR#j;1#Mq|V`L6wxY^KFc2jN%Z)DHWoq zQj1QIrL4L@mP2$vk7XF%`r~KO3NGq1f$5Le<*Ytmmt22;;gwL2w*w(p?Zn%PQG7e# zb(kdyHwi}P1BqbCwtVW$5Q}b+H3UoX6p27e&oGJQeDq6I=>MSXt{~TLi%PrW!Qczj zn!WaV7h-Z@GwiuIIZ--UlUe{msQT>Hae{8hjCQ>*Gob!3>Yd6w3G5Z%CWRQSC}DW-o@nDNR#X#sO99v07()YkU^5M1F0 zS9oY|tVcKglhe;gJ>~yh&`uc*>Zhq@_VKikQ;$~0oUS{_Q7sM~Ah0DD2bIkxpS!4Y z1c!tZaHMd1iQ@|H@J7cG+WkBXLSSoL1EB5C&>-ma6Ww}u;EFqYIpYXuak}n^Xd(hh zt*UgOA^w4KKGNG-7T2IZZoQ&7v8ddU5pbR8wzMr-E12B_?G^U1t61_m8*i#|d)y zI%NQH8frbCH{2cbbfh@vXYGz%>z_369fsX{>AKtbho&b#O_vb6yIZ94kQkOor29>nBvf1CFi4We zAly%H3Xw#^i_#aH+r5T6+4(_dTpTP6kc&E2R>(!I^$(sFnfTT@WSurfCVAZn*PGa8 z*-^9VlcLUb-NN)HhPK^OM04|3`M0pFk8853l>cY9IMLJ_S)OgPEMkvA8Sa1DL;?#i z*BMxqB+~y;<=PirWwP_p0x8nv_u20s&dOUY-Lo3&AL?J$JBU#>7nM$hJPScpdu_&0W5}0qdwq;UW^Tji`f6iy+;N8UX?44=UKRWi&c(MjacqN&hs}R*1s<;R8GoS*|n#m z)wlTe#hA5)@afaH<zd+c74_^7 zzADP-zoRT%{dBz=FQt)IpXvt)>d-4lqtz*Rp!%h*y}EgKbMw=?UsiInw7PFzd#~>F zYwz3EZS?B??lwz*n3#w^|Ih7*Pk-EY+cNNH(}+>X)o)o=lq=a8b+y$expJ@0`-L&} z_Kq>rL0!VBa)#NAN%Mb~9&qqjXfvpoL+%yqLbreFW2ZrKEcn^D%(0ABIpe!5)MIX~ z**U&m!7fYtr#`mMDme?>DRqXbfA2vyqFM_qKHKQQ;$4znfgYQ>Vq}-jrsI4g6}pTU zMFu#lQ~HQ$uBw-3qQjy8)W_DZ`uIHbS-CUh`Y%@l!e|_?57U3E-HRA8hc;Ne+sIyl zX||4|yCd;M&51U2%3cj7SPUX*_02WlvTT>KPV%V#I!y8?=ep4`mQ4K$19Yb%!<=Cf zZ=|A#EE&&>5AZbwM%c1Lo-`pJ=E=IHhq%n&hpD0}NNz2OI%NlF^k0Wbnp+D?p7Y`Z zR84_lw#L{{F=~H8Th5_M1I*{ehWYIXM;L}7v#`ukNo$FHUVPv)ngYXY`Ek#A%A7uD zpw0mAS*c<2C*_(i96q*RVSx5jWSCR%z*d%=iVpCoKMpgvsNc~l1B??Ycr@qjEb~a3 z+|_6n-Ybg?Qsb=S38z+rX|1kY^Dc~2Tjp$7%?Ad%LWF-H2exl8lKILhuKE=+W;C$n zqv5Al&Ox!SkO6>!UoaX=c;y`8_zDy_4%qHq*0jW=P&g=;nLD|R*EdOpuL zMseljqcYDk<=nEGajm(sz9pV-$Jo{KYT_XG%ISdCu?@YG-PO#2@|85CPBhvHToEDM3n@LkQm)gOWK0I#dGe&83?+NaXGYV)mE{||z324)3rstJOSlgqcY?b(i3CqE zjcMInupOhlZ+KY)L7M|{U+C5^GgNJTPpsw%q%&T5Se35c4|Of*p;S{n;<@$%jhMQ_ z7g@;V^3yd~!9{(t0lC(12zVNSt0K;~8Vsrfl?HF0W-kekww!-$MUd|hNZ=Ec2A~L@ zn?onyNmh%bye=5m|8n2CwJ4CooU_VIiWI~OT3>Vq3I{XoUW7Cd*lCDey2RbQLD&NN zolsi5NNYxK-q|k8*;B=h@^wWDr6iHxZB78R*mw*I4ndM~Dak->P*Q^>Ig|E>I@b=; z5Y&K;{0lq8g*ty5f!glo@dM1W@$_&)4o_5t>Re^mUD*{i<=f_AnQK+4Bji6yMAf!S zJ09Z{aA#g|Sg?+3I0mlq%XFSjS9W1lt0q;n(wWCxja0ZB}(o(MpmpdihOd+qexyga}i!1u5Tz_90Mmmsin)Jq)wqK?0+X%&|! 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