Pytorch: 'torch.nn'์—๋Š” 'TripletMarginLoss' ์†์„ฑ์ด ์—†์Šต๋‹ˆ๋‹ค.

์— ๋งŒ๋“  2017๋…„ 04์›” 10์ผ  ยท  3์ฝ”๋ฉ˜ํŠธ  ยท  ์ถœ์ฒ˜: pytorch/pytorch

๋ถ€๋ฆ„

triplet_loss = nn.TripletMarginLoss()

๊ฒฐ๊ณผ:

AttributeError: module 'torch.nn' has no attribute 'TripletMarginLoss'

์™€๋„

import torch.nn as nn

TripletMarginLoss๋ฅผ ์ถ”๊ฐ€ํ•œ ๊ด€๋ จ PR: #1165

ํ˜„์žฌ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•์€ F.triplet_margin_loss ์ง์ ‘ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ F ๋Š” import torch.nn.functional as F ์ž…๋‹ˆ๋‹ค.

high priority
์ถœ์ฒ˜
picture bartolsthoorn

๊ฐ€์žฅ ์œ ์šฉํ•œ ๋Œ“๊ธ€

์•ˆ๋…•ํ•˜์„ธ์š”, m = nn.Upsample(scale_factor=2, mode='bilinear') ํ˜ธ์ถœํ•  ๋•Œ๋„ ๋น„์Šทํ•œ ์ผ์ด ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
AttributeError: 'module' ๊ฐœ์ฒด์— 'Upsample' ์†์„ฑ์ด ์—†์Šต๋‹ˆ๋‹ค.
ํ•˜์ง€๋งŒ nn.UpsamplingBilinear2d ์„ฑ๊ณต์ ์œผ๋กœ ํ˜ธ์ถœํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ฒŒ๋‹ค๊ฐ€ Cubic Upsample ๋ฅผ ๊ตฌํ˜„ํ•  ๊ณ„ํš์ด ์žˆ๋‚˜์š”~

picture D-X-Y ์— 2017๋…„ 06์›” 22์ผ
❤4

๋ชจ๋“  3 ๋Œ“๊ธ€

๋˜ ๋‹ค๋ฅธ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•์€ from torch.nn.modules.loss import TripletMarginLoss ๋ฅผ ์ถ”๊ฐ€ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

apaszke picture apaszke ์— 2017๋…„ 04์›” 10์ผ
👍2

๋งˆ์Šคํ„ฐ์—์„œ ๊ณ ์ •. ๋‹ค์Œ ๋ฆด๋ฆฌ์Šค์— ์žˆ์Šต๋‹ˆ๋‹ค.

soumith picture soumith ์— 2017๋…„ 04์›” 11์ผ
🎉1

์•ˆ๋…•ํ•˜์„ธ์š”, m = nn.Upsample(scale_factor=2, mode='bilinear') ํ˜ธ์ถœํ•  ๋•Œ๋„ ๋น„์Šทํ•œ ์ผ์ด ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
AttributeError: 'module' ๊ฐœ์ฒด์— 'Upsample' ์†์„ฑ์ด ์—†์Šต๋‹ˆ๋‹ค.
ํ•˜์ง€๋งŒ nn.UpsamplingBilinear2d ์„ฑ๊ณต์ ์œผ๋กœ ํ˜ธ์ถœํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ฒŒ๋‹ค๊ฐ€ Cubic Upsample ๋ฅผ ๊ตฌํ˜„ํ•  ๊ณ„ํš์ด ์žˆ๋‚˜์š”~

D-X-Y picture D-X-Y ์— 2017๋…„ 06์›” 22์ผ
❤4
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