From 7db1f09cdce5075eaaa598015b7932aa0dd6bfbd Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Thu, 27 Apr 2023 16:27:13 +0900 Subject: [PATCH] from local --- egs/librispeech/ASR/.prompt_tuning.sh.swp | Bin 4096 -> 12288 bytes .../.data2vec_audio.py.swp | Bin 36864 -> 36864 bytes .../data2vec_audio.py | 2 +- 3 files changed, 1 insertion(+), 1 deletion(-) diff --git a/egs/librispeech/ASR/.prompt_tuning.sh.swp b/egs/librispeech/ASR/.prompt_tuning.sh.swp index 5fee9c2d27e7a5205c52c9acd616ab19a2a7373e..21b0ee6f94eb2116dfeede8b163931988e611484 100644 GIT binary patch literal 12288 zcmeI2TWB0r7{^cT#jZA0Blsqs?xu>cv$x!umOP|QlwhmXweg{mWioSicg*a}FqhmQ z`lJuOC>9aHr$VbwB2rO7=!+mi!3SRzee&{BZ{QvDKi}?5c4jvriGmc*!jEOYbD1;$ z^Z&k?kh4&ln?1uP3MGcm?Tl5=Kd2wP>y3S{6d2R(rYH@MRKljMKGWzY0z)~YYA0=b z@vLhXOj}dU^q8lk35(0NyXZNpCW?k8>Z)lLMZ+ta#)4~jju2Y2I8}YD=(u*v@oRoy z8CIj=kP1izqyka_sen}A z23Np$_ONGg4>xu0W2y7KC-vR=DZiuwQUR%eR6r^q6_5%@1*8H}0jYpgKq?>=xB(SV zb;ka{AN$|!#p3b*|LE`kA8uppdvFcB2G+qC`13GhUxQD;``|LT031*S$HBeeF!*JF zu`j_j@G@8jb?^w70QZ4G@cSXgJ_jFxE8r4n0v%}JesBl)?N-LV0-u7nzy+`d>fli@ z2@Zhkw=nh@_z=7fUIeQ^0}q2)kOkjn7`q6XpbAcaqhJvHbr5ratKc$t39JDPJOsu8 z1K-??^?(n+CGY}R2TgDm41>GDA@J(~^aJmKcfb|!CU_2<2IJr!upj)m9~y(V!K>g| z;DC8>6byi$_c8Vb_!ztkE`sMl3p@digB;ike!~8Sdwf0IXZiWRDv+xiESJeBisvjU zhR%m7yz|>=Ii^rd+w&9;XLkfI6)MNZCir~2-E76-a%FTR3TwWW98;dC#Ep&{SVD1C zt08!~6b(^z-S7?DQcYz6$AlL7<8C0LMqz2TE?mW5bp+QdOHo|aw4kLlTvhjYJb&N` zrS6o+cs%!0wqaqkZnXIL*s*A^F4~i(!qK%-;g-6h=z*(-Yvkq8cy6)cU}BdSa4re= zrPqAinWqPuaBH5g`oa{RSHqfXOO@hKIl6c~FinL{Ht{%S;a-GeYfX<2$3dKlGIhl> z*2KmgwgS^P6x;D}Ll3B?*QJxXfbGIzDNRv>MzYbcoWNH+tj`yXRX!EyhFw*|{q>?% zEvuHkkQ}Azs^ddE)5X@8DkI~Ss55p<>9i&`E4+<`KwA{P$J?E^r480)ShdcC1!t8m z19ffJ=cmq1Pu1pTtFtFh&(x-8=4MaLR422gd^umq4`*3UKm!zfgJnW8z8z@I?e0ji zKvyp4wk0qYN#MAmZmjSnd!<$`wc4?b#F&pdrCdxyH*+yHM$YPTaeGjgi$lREm~b&g zdR$D=UKdk1y4Hq^Dcqef@um7$yFJH_txdyH)~1-JE(t{}33pXN_LRcxp?K((z|rAI zc%>AYJ`Q&>0i8Fxr;>sC_Dcq85LW+WpvJ9}fx0ASO_~yP2@*>1ATIX zCP?Q-CbQez$QX5go*&_g*p1QolP9>}6c)?m+}3U;V43ZuCS@i)T2f`d{ru?hGbxpkb*jpjcOd-+1tKc{+YH_49OlF`Iar z8n^Z|bxC@fLLE=nMd<4Gt|UBNqO_#0eO#T}wShaeI`v9dnyUS;|SrklIi6T9&rf9FLDI8rZRjK>fvE6;gcBEk`J5nrBl#V?==8qwZ`I_jN^1!vd#m>7ttdZ| mAI*>D$Fqzc6hm~j9`B>!>+2-XE;o_w+4wQQx|%14hS}dNj{w5} delta 6 NcmZojXi!)n000P<0xeLM diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py index ac6dda4ae..646335cb9 100644 --- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py @@ -490,7 +490,7 @@ class Data2VecAudioModel(BaseFairseqModel): ## for prompt tuning if prompt is not None: - if 0: + if 1: conv_feat_all = torch.tensor([]).to(features.device) length = 0 for i in range(padding_mask.size()[0]):