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'Segmentation fault (core dumped)' still exists. #20

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joe1chief opened this issue Aug 26, 2018 · 5 comments
Closed

'Segmentation fault (core dumped)' still exists. #20

joe1chief opened this issue Aug 26, 2018 · 5 comments

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@joe1chief
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I downloaded the latest version (Aug 24th), and followed the steps in 'Read me' Paragraph 'Test', but I still get such error. My CUDA version is 9.0, PyTorch version is 4.1.

Can someone help me?

------------ Options -------------
aspect_ratio: 1.0
batchSize: 1
checkpoints_dir: ./checkpoints
dataroot: datasets/Cityscapes/test_A
dataset_mode: temporal
debug: False
display_id: 0
display_winsize: 512
feat_num: 3
fg: True
fg_labels: [26]
fineSize: 512
gpu_ids: [1, 2]
how_many: 300
input_nc: 3
isTrain: False
label_feat: False
label_nc: 35
loadSize: 2048
load_features: False
load_pretrain: 
max_dataset_size: inf
model: vid2vid
nThreads: 2
n_blocks: 9
n_blocks_local: 3
n_downsample_E: 3
n_downsample_G: 3
n_frames_G: 3
n_gpus_gen: 2
n_local_enhancers: 1
n_scales_spatial: 3
name: label2city_2048
ndf: 64
nef: 32
netE: simple
netG: composite
ngf: 128
no_first_img: False
no_flip: False
norm: batch
ntest: inf
output_nc: 3
phase: test
resize_or_crop: scaleWidth
results_dir: ./results/
serial_batches: False
tf_log: False
use_instance: True
use_real_img: False
use_single_G: True
which_epoch: latest
-------------- End ----------------
CustomDatasetDataLoader
dataset [TestDataset] was created
vid2vid
---------- Networks initialized -------------
-----------------------------------------------
Doing 28 frames
Segmentation fault (core dumped)
@tcwang0509
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Can you first try if you can run flownet2 (https://github.com/NVIDIA/flownet2-pytorch)?

@tsing90
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tsing90 commented Sep 24, 2018

Exact same issue for me, flownet2 is well compiled. Will try pytorch 0.4.0 instead ...

@kekedan
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kekedan commented Sep 27, 2018

the same isuue,do you solve it ?

@tsing90
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tsing90 commented Oct 13, 2018

@kekedan pytorch 0.4.0 solved this issue

@VisionU
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VisionU commented Nov 20, 2018

This bug wastes me whole day to solve it. I try many methods and read the code deeply and repeatedly. The answer is so easy, pytorch 0.4.1 with CUDA 9.0 is not supported, your must download pytorch 0.4.0 and corresponding flownet2.

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5 participants