From 5c3819098d8674d79aab1ee0c31130fbf20285d0 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Thu, 25 May 2023 21:05:30 +0900 Subject: [PATCH] from local --- .../.data2vec_audio.py.swp | Bin 40960 -> 40960 bytes .../.train_lora.py.swp | Bin 86016 -> 86016 bytes .../data2vec_audio.py | 4 ++-- 3 files changed, 2 insertions(+), 2 deletions(-) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp index 916e32519fda3cc6be30c615108656c110fa937b..b96febe5f8dc53c122e4bbf21a11114fa2f8a2c7 100644 GIT binary patch delta 360 zcmW;I&npCR7{~F?4r_M8*uo?+Mw;CGI!Gjv%hc{3=RlGl2R8>C*1>MM%BpW_FUmnV zYimx_p7tNWNgOCS$Z6fZ*QZ|f={Y<-J>|Mpu3O&rR2=1lxru3!tn^se-*txXyq~3X zYtl5%@=NK$k&dv21&kt#9=Q0-NN+gDB*xJX8y~jRz%8n%;1CChkw*q!9a4fDoFIoj z{H9gX1IL`<7)9jp-7dZ36$z?1MT|v^z(+T_&D|2AmuS9@!XXg>Y}JexNB delta 354 zcmW;Ip-TgC7{>9(pPt((>gnJdhH+{Ti#ik$K_+6k;A~?cD^m;>lPe0lVik{H5C)co zfl(GbEG~(Efd+#H1u-nn>Q^85@V>m^h4+m*Ch8c!x>O2xg0+Rbh$kH`9v|HKw|=+a z7$!aIZobxISE^wT8<@oe#^K>BExqFsdCX%HEEzj2cc*#x92NJt!q;Awm&8 zejL^H;7AuZ!zqgB4oDw(LxKj*QAPpN2r!0GjKJWfUwTG@eN?c59EQ>4?kmJN!ko#n mj3z*@@9$6a|FM4mn diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp index 5b9fd1f4e69d7f87970841d37b33ee9efbb7155b..2ef4eaf11ab42821f5eef50bcb32500f20b58ffc 100644 GIT binary patch delta 52 zcmZozz}m2Yb;EmR#?Z|lm_=+@19=%34o>EDh-Q5TVr|ZJNZ_4(%2$<9x%s{C_V>Pw Gf=mG2c@fV5 delta 50 zcmZozz}m2Yb;EmRMuyEFm_=+@gLoMj4o&8Ch-Q5bVr|ZJNZ_4(!dI>Nz3=w-zKnuQ E0JB&TSpWb4 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 c269d9db8..5521c56c8 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 @@ -171,10 +171,10 @@ class LoRAModule(nn.Module): nn.init.normal_(self.lora_A.bias.data) def forward(self, x): - x = x.transpose(0, 1) + #x = x.transpose(0, 1) x = self.lora_A(x) x = self.lora_B(x) - x = x.transpose(0, 1) + #x = x.transpose(0, 1) x *= self.scaling return x