Summary on deep learning framework --- PyTorch

Summary on deep learning framework --- PyTorch 

Updated on 2018-07-22 21:25:42 

import os
os.environ["CUDA_VISIBLE_DEVICES"]="4" 

export CUDA_VISIBLE_DEVICES=0  

import warnings 

warnings.filterwarnings("ignore")

 

python3.6 -m pip install Gooey -i https://pypi.tuna.tsinghua.edu.cn/simple 

 

统计模型 FLOPS 等相关信息：https://github.com/Lyken17/pytorch-OpCounter 

pip install thop

from torchvision.models import resnet50
from thop import profile

model = resnet50()
input = torch.randn(1, 3, 224, 224)
macs, params = profile(model, inputs=(input, ))

 

 

install a specific version of software into python3.X: 

python3.6 -m pip install scipy     ## will install scipy into python3.6

python3.8 -m pip install scipy     ## will install scipy into python3.8 

python2.7 -m pip install scipy     ## will install scipy into python2.7 

python2.7 -m pip --default-timeout=6000 install torch==0.4.1       ## will wait until 6000s for the install of scipy. 

 

tar -zcvf flilename.tar.gz *

 

RuntimeError: one_hot is only applicable to index tensor.

Solution:    change the your input data into .long() style: 

one_hot = torch.nn.functional.one_hot(YourInput.long(), n)

 

 

 

NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver  [Reference: https://blog.csdn.net/nizhenshishuai/article/details/123873453]

第一步，安装dkms：sudo apt-get install dkms

第二步，查看本机连接不上的驱动版本：ls -l /usr/src/ 

第三步，使用dkms重新安装适合驱动: sudo dkms install -m nvidia -v 510.73.05 

 

 

 

 

将程序推送到后台执行：nohup python main.py & 

pip install scrapy -i https://pypi.tuna.tsinghua.edu.cn/simple  

 

•  Office 2019, Visio download link for Xunlei:

office
ed2k://|file|cn_office_professional_plus_2019_x86_x64_dvd_5e5be643.iso|3775004672|1E4FFA5240F21F60DC027F73F1C62FF4|/

visio
ed2k://|file|cn_visio_professional_2019_x86_x64_dvd_97bda48c.iso|3775004672|26D248309B18EDBEEBE8DC43C55995DB|/

 

• Install dv on Ubuntu 16.04 (Official website is prepared for Ubuntu 18.04 only, check: https://inivation.gitlab.io/dv/dv-docs/docs/getting-started.html): 

1. 添加PPA存储库以获取程序及依赖项，打开一个终端，运行下面的命令
 sudo add-apt-repository ppa:ubuntu-toolchain-r/test 
 sudo add-apt-repository ppa:lkoppel/opencv 
 sudo add-apt-repository ppa:janisozaur/cmake-update 
 sudo add-apt-repository ppa:inivation-ppa/inivation-xenial  

2. 更新软件包索引
sudo apt-get update 

3. 安装dv-gui
sudo apt-get install dv-gui 

 

 

 

python中有一个zfill方法用来给字符串前面补0，非常有用 [LINK]

n = "123"
s = n.zfill(5)
assert s == "00123"

zfill()也可以给负数补0
n = "-123"
s = n.zfill(5)
assert s == "-0123"

对于纯数字，我们也可以通过格式化的方式来补0
n = 123
s = "%05d" % n
assert s == "00123"

LINK:https://blog.csdn.net/u013247765/article/details/79050947

判断目录是否存在
import os
dirs = '/Users/work/python/'

if not os.path.exists(dirs):
    os.makedirs(dirs)

判断文件是否存在
import os
filename = '/Users/work/python/poem.txt'

if not os.path.exists(filename):
    os.system(r"touch {}".format(path))#调用系统命令行来创建文件

 

pytracking issue: 

RuntimeError: Error building extension '_prroi_pooling'

Answer: export CUDA_HOME='/usr/local/cuda' 

 

Question: StopIteration: Caught StopIteration in replica 0 on device 0.

A1: change the pytorch==1.5.0 -> pytorch==1.4.0 

A2: find corresponding line, and change  next(self.parameters()).dtype换成torch.float32

 

 

 

0. Linux统计文件夹下的文件数目

统计当前目录下文件的个数（不包括目录）: ls -l | grep "^-" | wc -l 

统计当前目录下文件的个数（包括子目录）: ls -lR| grep "^-" | wc -l 

查看某目录下文件夹(目录)的个数（包括子目录）: ls -lR | grep "^d" | wc -l 

命令解析：

• ls -l     长列表输出该目录下文件信息(注意这里的文件是指目录、链接、设备文件等)，每一行对应一个文件或目录，ls -lR是列出所有文件，包括子目录。
• grep "^-"  过滤ls的输出信息，只保留一般文件，只保留目录是grep "^d"。
• wc -l     统计输出信息的行数，统计结果就是输出信息的行数，一行信息对应一个文件，所以就是文件的个数。

 

1. install the pytorch version 0.1.11 

## Version 0.1.11

## python2.7 and cuda 8.0  
sudo pip install http://download.pytorch.org/whl/cu80/torch-0.1.11.post5-cp27-none-linux_x86_64.whl  
pip install torchvision

install pytorch version 0.2.0 

sudo pip install http://download.pytorch.org/whl/cu80/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl

install pytorch version 0.4.0 

step-1. Download the files from: 
https://files.pythonhosted.org/packages/df/a4/7f5ec6e9df1bf13f1881353702aa9713fcd997481b26018f35e0be85faf7/torch-0.4.0-cp27-cp27mu-manylinux1_x86_64.whl 
step-2. Install this file 
pip install torch-0.4.0-cp27-cp27mu-manylinux1_x86_64.whl 

 Other visions of pyTorch can check this file: https://github.com/pytorch/pytorch.github.io/blob/master/_data/wizard.yml 

You can also download related files from my Baidu Yun: https://pan.baidu.com/s/1mc_b6AB6P2YlV6lwxGOOzA

 

 

2. what happened when following errors occurs ???

Traceback (most recent call last):
  File "examples/triplet_loss.py", line 221, in <module>
  File "examples/triplet_loss.py", line 150, in main
  File "build/bdist.linux-x86_64/egg/reid/evaluators.py", line 118, in evaluate
  File "build/bdist.linux-x86_64/egg/reid/evaluators.py", line 21, in extract_features
  File "/usr/local/lib/python2.7/dist-packages/torch/utils_v2/data/dataloader.py", line 301, in __iter__
  File "/usr/local/lib/python2.7/dist-packages/torch/utils_v2/data/dataloader.py", line 163, in __init__
  File "/usr/local/lib/python2.7/dist-packages/torch/utils_v2/data/dataloader.py", line 226, in _put_indices
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 390, in put
  File "/usr/local/lib/python2.7/dist-packages/torch/multiprocessing/queue.py", line 17, in send
  File "/usr/lib/python2.7/pickle.py", line 224, in dump
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/pickle.py", line 548, in save_tuple
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/pickle.py", line 600, in save_list
  File "/usr/lib/python2.7/pickle.py", line 633, in _batch_appends
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/pickle.py", line 600, in save_list
  File "/usr/lib/python2.7/pickle.py", line 633, in _batch_appends
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/pickle.py", line 562, in save_tuple
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/multiprocessing/forking.py", line 67, in dispatcher
  File "/usr/lib/python2.7/pickle.py", line 401, in save_reduce
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/pickle.py", line 548, in save_tuple
  File "/usr/lib/python2.7/pickle.py", line 286, in save
  File "/usr/lib/python2.7/multiprocessing/forking.py", line 66, in dispatcher
  File "/usr/local/lib/python2.7/dist-packages/torch/multiprocessing/reductions.py", line 113, in reduce_storage
RuntimeError: unable to open shared memory object </torch_29419_2971992535> in read-write mode at /b/wheel/pytorch-src/torch/lib/TH/THAllocator.c:226
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/util.py", line 274, in _run_finalizers
  File "/usr/lib/python2.7/multiprocessing/util.py", line 207, in __call__
  File "/usr/lib/python2.7/shutil.py", line 239, in rmtree
  File "/usr/lib/python2.7/shutil.py", line 237, in rmtree
OSError: [Errno 24] Too many open files: '/tmp/pymp-QoKm2p'

 

 

3. GPU 和 CPU 数据之间的转换：

　　（1）CPU --->  GPU:　　 a.cuda() 

　　（2）GPU ---> CPU: 　　 a.cpu() 

　　（3） torch.tensor --->  numpy array: 

　　　　a_numpy_style = a.numpy() 

　　（4）numpy array ---> torch.tensor: 

>>> import numpy as np
>>> a = np.ones(5)
>>> b = torch.from_numpy(a)
>>> np.add(a, 1, out=a)
array([ 2.,  2.,  2.,  2.,  2.])
>>> print(a)
[ 2.  2.  2.  2.  2.]
>>> print(b)

 2
 2
 2
 2
 2
[torch.DoubleTensor of size 5]

>>> c=b.numpy()
>>> c
array([ 2.,  2.,  2.,  2.,  2.])

 

4. Variable and Tensor: 

　　==>> programs occured error:

　　expected a Variable, but got a Float.Tensor(), ~~~~ 

　　==>> this can be solved by adding: 

from torch.autograd import Variable 
hard_neg_differ_ = Variable(hard_neg_differ_) 

　　==>> this will change the hard_neg_differ_ into a variable, not a Float.Tensor() any more. 

　　we can read this reference: http://blog.csdn.net/shudaqi2010/article/details/54880748 

　　it tell us: 

 

>>> import torch
>>> x  = torch.Tensor(2,3,4)
>>> x

(0 ,.,.) = 
1.00000e-37 *
   2.4168  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000

(1 ,.,.) = 
1.00000e-37 *
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
[torch.FloatTensor of size 2x3x4]

>>> from torch.autograd import Variable
>>> x = Variable(x) 
>>> x 
Variable containing:
(0 ,.,.) = 
1.00000e-37 *
   2.4168  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000

(1 ,.,.) = 
1.00000e-37 *
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
   0.0000  0.0000  0.0000  0.0000
[torch.FloatTensor of size 2x3x4]

 

　　But, you can not directly convert the Variable to numpy() or something else. You can load the values in the Variable and convert to numpy() through: 

　　value = varable.data.numpy().

 

5.  Some Operations about tensor. obtained from blog: http://www.cnblogs.com/huangshiyu13/p/6672828.html 

============改变数组的维度==================
已知reshape函数可以有一维数组形成多维数组
ravel函数可以展平数组
b.ravel()
flatten()函数也可以实现同样的功能
区别：ravel只提供视图view，而flatten分配内存存储

重塑：

用元祖设置维度
>>> b.shape=(4,2,3)
>>> b
array(［[ 0, 1, 2],
        [ 3, 4, 5］,

       ［ 6, 7, 8],
        [ 9, 10, 11］,

       ［12, 13, 14],
        [15, 16, 17］,

       ［18, 19, 20],
        [21, 22, 23］])

转置：
>>> b
array(［0, 1],
       [2, 3］)
>>> b.transpose()
array(［0, 2],
       [1, 3］)

=============数组的组合==============
>>> a
array(［0, 1, 2],
       [3, 4, 5],
       [6, 7, 8］)
>>> b = a*2
>>> b
array(［ 0, 2, 4],
       [ 6, 8, 10],
       [12, 14, 16］)

1.水平组合
>>> np.hstack((a,b))
array(［ 0, 1, 2, 0, 2, 4],
       [ 3, 4, 5, 6, 8, 10],
       [ 6, 7, 8, 12, 14, 16］)
>>> np.concatenate((a,b),axis=1)
array(［ 0, 1, 2, 0, 2, 4],
       [ 3, 4, 5, 6, 8, 10],
       [ 6, 7, 8, 12, 14, 16］)

2.垂直组合
>>> np.vstack((a,b))
array(［ 0, 1, 2],
       [ 3, 4, 5],
       [ 6, 7, 8],
       [ 0, 2, 4],
       [ 6, 8, 10],
       [12, 14, 16］)
>>> np.concatenate((a,b),axis=0)
array(［ 0, 1, 2],
       [ 3, 4, 5],
       [ 6, 7, 8],
       [ 0, 2, 4],
       [ 6, 8, 10],
       [12, 14, 16］)

3.深度组合：沿着纵轴方向组合
>>> np.dstack((a,b))
array(［[ 0, 0],
        [ 1, 2],
        [ 2, 4］,

       ［ 3, 6],
        [ 4, 8],
        [ 5, 10］,

       ［ 6, 12],
        [ 7, 14],
        [ 8, 16］])

4.列组合column_stack()
一维数组：按列方向组合
二维数组：同hstack一样

5.行组合row_stack()
以为数组：按行方向组合
二维数组：和vstack一样

6.==用来比较两个数组
>>> a==b
array(［ True, False, False],
       [False, False, False],
       [False, False, False］, dtype=bool)
#True那个因为都是0啊

==================数组的分割===============
>>> a
array(［0, 1, 2],
       [3, 4, 5],
       [6, 7, 8］)
>>> b = a*2
>>> b
array(［ 0, 2, 4],
       [ 6, 8, 10],
       [12, 14, 16］)

1.水平分割（难道不是垂直分割？？？）
>>> np.hsplit(a,3)
[array(［0],
       [3],
       [6］),
 array(［1],
       [4],
       [7］), 
array(［2],
       [5],
       [8］)]
split(a,3,axis=1)同理达到目的

2.垂直分割
>>> np.vsplit(a,3)
[array(［0, 1, 2］), array(［3, 4, 5］), array(［6, 7, 8］)]

split(a,3,axis=0)同理达到目的

3.深度分割
某三维数组：：：
>>> d = np.arange(27).reshape(3,3,3)
>>> d
array(［[ 0, 1, 2],
        [ 3, 4, 5],
        [ 6, 7, 8］,

       ［ 9, 10, 11],
        [12, 13, 14],
        [15, 16, 17］,

       ［18, 19, 20],
        [21, 22, 23],
        [24, 25, 26］])

深度分割后（即按照深度的方向分割）
注意：dsplite只对3维以上数组起作用
raise ValueError('dsplit only works on arrays of 3 or more dimensions')
ValueError: dsplit only works on arrays of 3 or more dimensions

>>> np.dsplit(d,3)
[array(［[ 0],
        [ 3],
        [ 6］,

       ［ 9],
        [12],
        [15］,

       ［18],
        [21],
        [24］]), array(［[ 1],
        [ 4],
        [ 7］,

       ［10],
        [13],
        [16］,

       ［19],
        [22],
        [25］]), array(［[ 2],
        [ 5],
        [ 8］,

       ［11],
        [14],
        [17］,

       ［20],
        [23],
        [26］])]

===================数组的属性=================
>>> a.shape #数组维度
(3, 3)
>>> a.dtype #元素类型
dtype('int32')
>>> a.size #数组元素个数
9
>>> a.itemsize #元素占用字节数
4
>>> a.nbytes #整个数组占用存储空间=itemsize*size
36
>>> a.T #转置=transpose
array(［0, 3, 6],
       [1, 4, 7],
       [2, 5, 8］)

 6. image paste using python: 

im = Image.open('/home/wangxiao/Pictures/9c1147d3gy1fjuyywz23sj20dl09u3yw.jpg') box = (100,100,500,500)
region = im.crop(box) 
im.paste(region,(100,70))  
im.show() 

　　

 7. pytorch save checkpoints 

torch.save(model.state_dict(), filename)

 

8. install python3.5 on ubuntu system:

sudo add-apt-repository ppa:fkrull/deadsnakes
sudo apt-get update
sudo apt-get install python3.5

when testing, just type: python3.5 　　

 

9. load imge to tensor & save tensor data to image files. 

def tensor_load_rgbimage(filename, size=None, scale=None):
    img = Image.open(filename)
    if size is not None:
        img = img.resize((size, size), Image.ANTIALIAS)
    elif scale is not None:
        img = img.resize((int(img.size[0] / scale), int(img.size[1] / scale)), Image.ANTIALIAS)
    img = np.array(img).transpose(2, 0, 1)
    img = torch.from_numpy(img).float()
    return img


def tensor_save_rgbimage(tensor, filename, cuda=False):
    if cuda:
        img = tensor.clone().cpu().clamp(0, 255).numpy()
    else:
        img = tensor.clone().clamp(0, 255).numpy()
    img = img.transpose(1, 2, 0).astype('uint8')
    img = Image.fromarray(img)
    img.save(filename)

　　

10. the often used opeartions in pytorch:

########################## save log files #############################################
logfile_path = './log_files_AAE_2017.10.08.16:20.txt'
fobj=open(logfile_path,'a')
fobj.writelines(['Epoch: %d Niter:%d Loss_VAE: %.4f Loss_D: %.4f Loss_D_noise: %.4f Loss_G: %.4f D(x): %.4f D(G(z)): %.4f / %.4f \n'
% (EEEPoch, total_epoch, VAEerr.data[0], errD_noise.data[0], errD.data[0], total_errG.data[0], D_x, D_G_z1, D_G_z2)])
fobj.close()
# print('==>> saving txt files ... Done!')

###########################	save checkpoints ###########################	
if epoch%opt.saveInt == 0 and epoch!=0:
torch.save(netG.state_dict(), '%s/netG_epoch_%d.pth' % (opt.outf, epoch))
# torch.save(netD.state_dict(), '%s/netD_epoch_%d.pth' % (opt.outf, epoch))
# torch.save(netD_gaussian.state_dict(), '%s/netD_Z_epoch_%d.pth' % (opt.outf, epoch))


# ###########################	save middle images into folders	###########################	
# img_index = EEEPoch + index_batch + epoch 
# if epoch % 10 == 0:
# vutils.save_image(real_cpu, '%s/real_samples.png' % img_index,
# normalize=True)
# fake = netG.decoder(fixed_noise)
# vutils.save_image(fake.data,
# '%s/fake_samples_epoch_%03d.png' % (img_index, img_index),
# normalize=True)

　　

11. error:  RuntimeError: tensors are on different GPUs

 ==>> this is caused you set data into GPU mode, but not pre-defined model. 

 

12. torch.mm and torch.spmm 

torch.mm(mat1, mat2) ---> 输入的两个矩阵相乘；

torch.spmm() --->  

 

13. Expected object of type torch.cuda.LongTensor but found type torch.cuda.DoubleTensor for argument #2 'target'

File "/usr/local/lib/python2.7/dist-packages/torch/nn/functional.py", line 1332, in nll_loss
return torch._C._nn.nll_loss(input, target, weight, size_average, ignore_index, reduce)
RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.cuda.DoubleTensor for argument #2 'target' 

==>> Solution: just add .long() to change the type of that variable, according to https://github.com/fastai/fastai/issues/71.   

 

14. RuntimeError: multi-target not supported at /pytorch/aten/src/THCUNN/generic/ClassNLLCriterion.cu:16

File "run_train.py", line 150, in train_gcnTracker
loss_train = F.nll_loss(output.float(), labels.long())
File "/usr/local/lib/python2.7/dist-packages/torch/nn/functional.py", line 1332, in nll_loss
return torch._C._nn.nll_loss(input, target, weight, size_average, ignore_index, reduce)
RuntimeError: multi-target not supported at /pytorch/aten/src/THCUNN/generic/ClassNLLCriterion.cu:16 

==>> Solution:  change the label into a single class labels, i.e. 1,2,3, ... N. Do not use one-hot like labels, according to https://discuss.pytorch.org/t/runtimeerror-multi-target-not-supported-newbie/10216/6 

 

15. Set GPU ID:   export CUDA_VISIBLE_DEVICES=0 

 

16.  fig.savefig(os.path.join(savefig_dir,'0000.jpg'),dpi=dpi)

    # Display
    savefig = savefig_dir != ''
    if display or savefig: 
        dpi = 80.0
        figsize = (image.size[0]/dpi, image.size[1]/dpi)

        fig = plt.figure(frameon=False, figsize=figsize, dpi=dpi)
        ax = plt.Axes(fig, [0., 0., 1., 1.])
        ax.set_axis_off()
        fig.add_axes(ax)
        im = ax.imshow(image, aspect='normal')

        if gt is not None:
            gt_rect = plt.Rectangle(tuple(gt[0,:2]),gt[0,2],gt[0,3],linewidth=3, edgecolor="#00ff00", zorder=1, fill=False)
            ax.add_patch(gt_rect)
        
        rect = plt.Rectangle(tuple(result_bb[0,:2]),result_bb[0,2],result_bb[0,3], 
                linewidth=3, edgecolor="#ff0000", zorder=1, fill=False)
        ax.add_patch(rect)

        # pdb.set_trace() 

        if display:
            plt.pause(.01)
            plt.draw()
        if savefig:
            fig.savefig(os.path.join(savefig_dir,'0000.png'),dpi=dpi)

File "/usr/local/lib/python2.7/dist-packages/matplotlib/figure.py", line 1563, in savefig
self.canvas.print_figure(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/matplotlib/backend_bases.py", line 2232, in print_figure
**kwargs)
File "/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_agg.py", line 583, in print_jpg
return image.save(filename_or_obj, format='jpeg', **options)
File "/usr/local/lib/python2.7/dist-packages/PIL/Image.py", line 1930, in save
save_handler(self, fp, filename)
File "/usr/local/lib/python2.7/dist-packages/PIL/JpegImagePlugin.py", line 607, in _save
raise IOError("cannot write mode %s as JPEG" % im.mode)
IOError: cannot write mode RGBA as JPEG 

==>> I find one blog talk about this issue from: blog. I change it type of saved image as ".png" and saved it successfully. 

 

17. when I use torch.cat() to concatenate two tensors, it shown me errors like follows: 

*** RuntimeError: Expected a Tensor of type torch.DoubleTensor but found a type torch.FloatTensor for sequence element 1 in sequence argument at position #1 'tensors'

==>> according to https://github.com/pytorch/pytorch/issues/2138 , we can solve it by adding: 

 

18. RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn

==== Start Cycle 0 ====

(' ==>> loss_attention: ', tensor(0.6981))
Traceback (most recent call last):
File "step_1_train_attention.py", line 187, in <module>
train_hardAttention()
File "step_1_train_attention.py", line 165, in train_hardAttention
loss_attention.backward()
File "/usr/local/lib/python2.7/dist-packages/torch/tensor.py", line 93, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/usr/local/lib/python2.7/dist-packages/torch/autograd/__init__.py", line 89, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn

==>>  try this: loss_attention = Variable(loss_attention, requires_grad = True)  

 

19. print the loss variation along with training: 

import matplotlib.pyplot as plt

def show_plot(iteration,loss):
    plt.plot(iteration,loss)
    plt.show()


counter = []
loss_history = [] 
iteration_number= 0

for epoch in range(0,Config.train_number_epochs):
    for i, data in enumerate(train_dataloader,0):
        img0, img1 , label = data
        img0, img1 , label = img0.cuda(), img1.cuda() , label.cuda()
        optimizer.zero_grad()
        output1, output2 = net(img0,img1)
        loss_contrastive = criterion(output1,output2,label)
        loss_contrastive.backward()
        optimizer.step()
        if i %10 == 0 :
            print("Epoch number {}\n Current loss {}\n".format(epoch,loss_contrastive.item()))
            iteration_number +=10
            counter.append(iteration_number)
            loss_history.append(loss_contrastive.item())


show_plot(counter,loss_history)

 

 20. Model initialization for fc layers

## Initialization for fc layers 

from torch.nn import init

self.fc1 = nn.Linear(1024, 1024)
init.xavier_normal(self.fc1.weight)

 

21. PyTorch implementation for convolutional feature visualization: 

reference github: https://github.com/leelabcnbc/cnnvis-pytorch/blob/master/test.ipynb 

 

22. ValueError: invalid literal for int() with base 10: '135.5'

(Pdb) int(x)
*** ValueError: invalid literal for int() with base 10: '135.5'
(Pdb) round(float(x))
136.0
(Pdb)

==>> Solution: 

　　int(round(float(initial_BBox[2])))

 

23. Loading pre-trained VGG-19 Model: 

model_root='./vgg16-397923af.pth'

def make_layers(cfg, batch_norm=False):
    layers = []
    in_channels = 3
    for v in cfg:
        if v == 'M':
            layers += [nn.MaxPool2d(kernel_size=2, stride=2)]
        else:
            conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1)
            if batch_norm:
                layers += [conv2d, nn.BatchNorm2d(v), nn.ReLU(inplace=True)]
            else:
                layers += [conv2d, nn.ReLU(inplace=True)]
            in_channels = v
    return nn.Sequential(*layers)

cfg = {
    'A': [64, 'M', 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'],
    'B': [64, 64, 'M', 128, 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'],
    'D': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'M', 512, 512, 512, 'M', 512, 512, 512, 'M'],
    'E': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 256, 'M', 512, 512, 512, 512, 'M', 512, 512, 512, 512, 'M'],
}

"""VGG 19-layer model"""
model = VGG(make_layers(cfg['D']))
model.load_state_dict(torch.load(model_root))
VGG_net = VGG(model)
VGG_net = VGG_net.cuda()

 

24. *** RuntimeError: CUDNN_STATUS_BAD_PARAM 

==>> due to different input and given feature dimension. 

 

25. *** RuntimeError: Trying to backward through the graph a second time, but the buffers have already been freed. Specify retain_graph=True when calling backward the first time.

==>> follow the solution from this link. 

To reduce memory usage, during the .backward() call, all the intermediary results are deleted when they are not needed anymore.

Hence if you try to call .backward() again, the intermediary results don’t exist and the backward pass cannot be performed (and you get the error you see).

You can call .backward(retain_graph=True) to make a backward pass that will not delete intermediary results, and so you will be able to call .backward() again.

All but the last call to backward should have the retain_graph=True option.

 

26. RuntimeError: function ConcatBackward returned a gradient different than None at position 3, but the corresponding forward input was not a Variable

g_loss.backward(retain_graph=True)
File "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 156, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, retain_variables)
File "/usr/local/lib/python2.7/dist-packages/torch/autograd/__init__.py", line 98, in backward
variables, grad_variables, retain_graph)
RuntimeError: function ConcatBackward returned a gradient different than None at position 3, but the corresponding forward input was not a Variable

 

==>> Similar operations like: output = torch.cat(Variable(x), y), will cause this problem. You need to check the variables you feed to the neural network and make sure they are all Variable. 

 

27. Shown me the following error when use nn.BCELoss(): 

CUDA error after cudaEventDestroy in future dtor: device-side assert triggeredTraceback (most recent call last):
File "main.py", line 122, in <module>
g_gen_loss = loss_function(fake_map, batch_map)
File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 486, in forward
return F.binary_cross_entropy(input, target, weight=self.weight, reduction=self.reduction)
File "/usr/local/lib/python3.6/site-packages/torch/nn/functional.py", line 1603, in binary_cross_entropy
return torch._C._nn.binary_cross_entropy(input, target, weight, reduction)
RuntimeError: cudaEventSynchronize in future::wait: device-side assert triggered
Exception ignored in: <bound method tqdm.__del__ of 0%| | 0/100 [44:41<?, ?it/s]>
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/tqdm/_tqdm.py", line 931, in __del__
self.close()
File "/usr/local/lib/python3.6/site-packages/tqdm/_tqdm.py", line 1133, in close
self._decr_instances(self)
File "/usr/local/lib/python3.6/site-packages/tqdm/_tqdm.py", line 496, in _decr_instances
cls.monitor.exit()
File "/usr/local/lib/python3.6/site-packages/tqdm/_monitor.py", line 52, in exit
self.join()
File "/usr/local/lib/python3.6/threading.py", line 1053, in join
raise RuntimeError("cannot join current thread")
RuntimeError: cannot join current thread

 

==>> Find one solution for this issue from: https://github.com/NVIDIA/pix2pixHD/issues/9: 

"Get's fixed applying nn.BCEWithLogitsLoss() instead of nn.BCELoss() in networks.py line 82 --it restricts loss values between 0 and 1 before applying the loss."

 

28. Shit issues about nn.GRU to encode the natural language:  RuntimeError: CuDNN error: CUDNN_STATUS_SUCCESS

Traceback (most recent call last):
File "train_mim_langTracking.py", line 373, in <module>
train_mdnet()
File "train_mim_langTracking.py", line 180, in train_mdnet
encoder_output, encoder_hidden = encoder(textEmbedding[ei], encoder_hidden.cuda())
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 477, in __call__
result = self.forward(*input, **kwargs)
File "./modules/model.py", line 39, in forward
output, hidden = self.gru(embedded, hidden)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 477, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/rnn.py", line 192, in forward
output, hidden = func(input, self.all_weights, hx, batch_sizes)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/_functions/rnn.py", line 324, in forward
return func(input, *fargs, **fkwargs)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/_functions/rnn.py", line 288, in forward
dropout_ts)
RuntimeError: CuDNN error: CUDNN_STATUS_SUCCESS

A28:  h0, c0 = h0.cuda(), c0.cuda(), according to: https://discuss.pytorch.org/t/cuda-error-runtimeerror-cudnn-status-execution-failed/17625. 

 

29. Deep copy with "clone" operation 

A29: vis_feat = x.data.clone() 

 

30. How to Train the Deep Network with Multi-GPU in one machine ? 

A30: Here is a Code example from: https://www.jianshu.com/p/b366cad90a6c ( 但是这个代码不能直接跑，因为他只是一个案例，而且有语法错误之类的)。

PyTorch 官方文档给出的接口代码 torch.nn.DataParallel 的解释如下：https://pytorch.org/docs/0.4.1/nn.html#dataparallel 

>>> net = torch.nn.DataParallel(model, device_ids=[0, 1, 2])
>>> output = net(input_var) 

但是有时候想直接运行，还是不行的，比如我（T_T）。我定义的模型中包含了 RoI 的相关操作，该操作原本的调用方式是：

align_h = model.roi_align_model.aligned_height 

这个时候，必须改为： align_h = model.module.roi_align_model.aligned_height ，区别就是：中间加一个 module 作为过度才可以。

 

另外一个 bug 是：原本可以正常执行的代码，加了并行化的模块后，不行了。比如：

==== Start Cycle 0 ====
Traceback (most recent call last):
File "train_lang_coAttention_MultiGPU_version.py", line 311, in <module>
train_mdnet()
File "train_lang_coAttention_MultiGPU_version.py", line 182, in train_mdnet
cur_feat_map = model(cur_scene, language, k, out_layer='conv3')
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 477, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/parallel/data_parallel.py", line 123, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/parallel/data_parallel.py", line 133, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/usr/local/lib/python2.7/dist-packages/torch/nn/parallel/parallel_apply.py", line 77, in parallel_apply
raise output
TypeError: forward() takes at least 3 arguments (2 given)

这里，提示我仅仅给了 2 个参数。但是不加这个模块，是可以正常运行的。这是不是说明了，某些 bug 的存在导致了该错误？那么，是什么 bug 呢？？？

 

31. (pysot) wangxiao@wx:~/Downloads/pysot/experiments/siamrpn_mobilev2_l234_dwxcorr$ CUDA_LAUNCH_BLOCKING=1 python -u ../../tools/test.py --snapshot model.pth  --dataset VOT2018 --config config.yaml
loading VOT2018: 100%|██████████████████████████████████| 60/60 [00:00<00:00, 66.26it/s, zebrafish1]
THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1535493744281/work/aten/src/THC/THCGeneral.cpp line=663 error=11 : invalid argument
cudaCheckError() failed : an illegal memory access was encountered 

A31. anybody know what happened? 

 

32. 这个函数不能随便用：torch.nn.utils.clip_grad_norm_(model.parameters(), 0.25) 

本来原本的代码中不带这句话，收敛的很正常。但是后来因为某些原因，我加上了这个。结果 loss 一直降不下来，维持在 200 左右，坑得很啊，然后我将其注释掉之后，重新跑，loss 分分钟下来了。

 

Q33. Model transform from caffe to pytorch:

A33. https://github.com/last-one/Pytorch_Realtime_Multi-Person_Pose_Estimation/tree/master/caffe2pytorch 

 

import caffe
from caffe.proto import caffe_pb2
import torch
import os
import sys
sys.path.append('..')
import pose_estimation
from utils import save_checkpoint as save_checkpoint

def load_caffe_model(deploy_path, model_path):

    caffe.set_mode_cpu()
    net = caffe.Net(deploy_path, model_path, caffe.TEST)

    return net

def load_pytorch_model():
    
    model = pose_estimation.PoseModel(num_point=19, num_vector=19, pretrained=True)

    return model

def convert(caffe_net, pytorch_net):

    caffe_keys = caffe_net.params.keys()
    pytorch_keys = pytorch_net.state_dict().keys()

    length_caffe = len(caffe_keys)
    length_pytorch = len(pytorch_keys)
    dic = {}
    L1 = []
    L2 = []
    _1 = []
    _2 = []
    for i in range(length_caffe):
        if 'L1' in caffe_keys[i]:
            L1.append(caffe_keys[i])
            if '_1' in pytorch_keys[2 * i]:
                _1.append(pytorch_keys[2 * i][:-7])
            else:
                _2.append(pytorch_keys[2 * i][:-7])
        elif 'L2' in caffe_keys[i]:
            L2.append(caffe_keys[i])
            if '_1' in pytorch_keys[2 * i]:
                _1.append(pytorch_keys[2 * i][:-7])
            else:
                _2.append(pytorch_keys[2 * i][:-7])
        else:
            dic[caffe_keys[i]] = pytorch_keys[2 * i][:-7]

    for info in zip(L1, _1):
        dic[info[0]] = info[1]
    for info in zip(L2, _2):
        dic[info[0]] = info[1]

    model_dict = pytorch_net.state_dict()
    from collections import OrderedDict
    weights_load = OrderedDict()
    for key in dic:
        caffe_key = key
        pytorch_key = dic[key]
        weights_load[pytorch_key + '.weight'] = torch.from_numpy(caffe_net.params[caffe_key][0].data)
        weights_load[pytorch_key + '.bias'] = torch.from_numpy(caffe_net.params[caffe_key][1].data)
    model_dict.update(weights_load)
    pytorch_net.load_state_dict(model_dict)
    save_checkpoint({
        'iter': 0,
        'state_dict': pytorch_net.state_dict(),
        }, True, 'caffe_model_coco')

if __name__ == '__main__':

    caffe_net = load_caffe_model('../caffe_model/coco/pose_deploy.prototxt', '../caffe_model/coco/pose_iter_440000.caffemodel')
    pytorch_net = load_pytorch_model()

    convert(caffe_net, pytorch_net)

 

Q34. SRU issue: ModuleNotFoundError: No Module named 'cuda_functional':

A34.  pip install sru[cuda] will solve this problem.  

 

Q35. Save only or load only part of pre-trained pyTorch model: 

A35. https://github.com/agrimgupta92/sgan 

# Save another checkpoint with model weights and
# optimizer state
checkpoint['g_state'] = generator.state_dict()
checkpoint['g_optim_state'] = optimizer_g.state_dict()
checkpoint['d_state'] = discriminator.state_dict()
checkpoint['d_optim_state'] = optimizer_d.state_dict()
checkpoint_path = os.path.join(args.output_dir, '%s_with_model.pt' % args.checkpoint_name)
logger.info('Saving checkpoint to {}'.format(checkpoint_path))
torch.save(checkpoint, checkpoint_path)
logger.info('Done.')

# Save a checkpoint with no model weights by making a shallow copy of the checkpoint excluding some items
checkpoint_path = os.path.join(args.output_dir, '%s_no_model.pt' % args.checkpoint_name)
logger.info('Saving checkpoint to {}'.format(checkpoint_path))
key_blacklist = ['g_state', 'd_state', 'g_best_state', 'g_best_nl_state','g_optim_state', 'd_optim_state', 'd_best_state', 'd_best_nl_state']
small_checkpoint = {}
for k, v in checkpoint.items():
   if k not in key_blacklist:
       small_checkpoint[k] = v
torch.save(small_checkpoint, checkpoint_path)
logger.info('Done.')

pretrained_dict=torch.load(model_weight)
model_dict=myNet.state_dict()
# 1. filter out unnecessary keys
pretrained_dict = {k: v for k, v in pretrained_dict.items() if k in model_dict}
# 2. overwrite entries in the existing state dict
model_dict.update(pretrained_dict)
myNet.load_state_dict(model_dict)
————————————————
版权声明：本文为CSDN博主「lxx516」的原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/LXX516/article/details/80124768

 

Q36.  在使用 PyTorch 训练的过程中，显存占用越来越大，最终导致 out-of-memory？

 

A36. 导致这种情况的一个可能的原因是（我自己遇到的）：在计算 total loss 的时候，不能直接相加。要用  .data[0] 将数据取出来，才可以。不然，pyTorch 会自动将该部分加入计算图，导致显存占用越来越多，最终爆掉了。

 

 

Q37. *** RuntimeError: _sigmoid_forward_out is not implemented for type torch.cuda.LongTensor

A37. So, how to transform the torch.cuda.LongTensor style into the torch.cuda.FloatTensor ?  Try this: 

maxIoU = maxIoU.type(torch.cuda.FloatTensor)

 

Q38.   File "training_demo.py", line 236, in <module>
   main(args)
 File "training_demo.py", line 218, in main
   L2_loss.backward()
 File "/home/wangxiao/anaconda2/envs/pygoturn/lib/python3.7/site-packages/torch/tensor.py", line 102, in backward
   torch.autograd.backward(self, gradient, retain_graph, create_graph)
 File "/home/wangxiao/anaconda2/envs/pygoturn/lib/python3.7/site-packages/torch/autograd/__init__.py", line 90, in backward
   allow_unreachable=True)  # allow_unreachable flag
RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn

A38. First, you need to do: from torch.autograd import Variable, then, add this line before the backward function: 

L2_loss = Variable(L2_loss, requires_grad = True) 

 

Q39. ImportError: cannot import name 'imresize' from 'scipy.misc' (/home/wangxiao/anaconda3/envs/goturn2.0/lib/python3.7/site-packages/scipy/misc/__init__.py) 

A39. https://stackoverflow.com/questions/48923151/importing-image-to-python-cannot-import-name-imread?noredirect=1&lq=1 

pip install Pillow

pip install scipy==1.1.0 

 

Q40. ImportError: libcudart.so.10.1: cannot open shared object file: No such file or directory 

A40. https://github.com/tensorflow/tensorflow/issues/26182 

conda install cudatoolkit
conda install cudnn 

Q41. ImportError: ./modules/roi_align/roi_align_cuda.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN2at19UndefinedTensorImpl10_singletonE 

A41. First, you need to remove the folder "build", generated from previous version. Then make this file again: 

rm -rf build/ 

python setup.py build_ext --inplace 

 

Shit, aforementioned solutions can not handle the following issues: 

ImportError: ./modules/roi_align/roi_align_cuda.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC1ENS_14SourceLocationERKSs. 

Try this: conda install pytorch torchvision cudatoolkit=10.0 -c pytorch

 

Q42. Segmentation fault (core dumped) 

A42. This maybe caused by you forget to transform the data into GPU. Find the line the bug occurred, and do this: feature = feature.cuda() 

 

Q43. Set edge color with PIL for visualization (RGB(0,153,255), #0099FF颜色查询): 

A43. https://www.fontke.com/tool/rgb/0099ff/ 

 

Q44. 

/usr/lib/gcc/x86_64-linux-gnu/7/../../collect2: error: ld returned 1 exit status
../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../Makefile:613: recipe for target '.build_release/examples/siamese/convert_mnist_siamese_data.bin' failed
lib/make: *** [.build_release/examples/siamese/convert_mnist_siamese_data.bin] Error 1
libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
Makefile:613: recipe for target '.build_release/examples/mnist/convert_mnist_data.bin' failed
make: *** [.build_release/examples/mnist/convert_mnist_data.bin] Error 1 

 

 

CXX/LD -o .build_release/examples/cifar10/convert_cifar_data.bin
CXX/LD -o .build_release/examples/mnist/convert_mnist_data.bin
CXX/LD -o .build_release/examples/cpp_classification/classification.bin
CXX/LD -o .build_release/examples/siamese/convert_mnist_siamese_data.bin
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemcpy@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFClientdata@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFrealloc@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFLastDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBAStripExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsByteSwapped@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlushData@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfDouble@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBATileExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnlinkDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnsetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetField@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFMergeFieldInfo@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCurrentDirOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsCODECConfigured@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDataWidth@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
Makefile:608: recipe for target '.build_release/tools/upgrade_net_proto_text.bin' failed
make: *** [.build_release/tools/upgrade_net_proto_text.bin] Error 1
make: *** Waiting for unfinished jobs....
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemcpy@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFClientdata@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFrealloc@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemset@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFLastDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadRGBAStripExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteEncodedStrip@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFIsByteSwapped@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFlushData@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
/usr/lib/gcc//x86_64-usrlinux-gnu/7//.lib.//../.gcc./x86_64-/linux-gnu/../x86_64.-.linux/-libgnu/libgdal.so.20: undefined/ 7reference/ to. .`/TIFFStripSize@LIBTIFF_4.0'
/usr./lib/.gcc//.x86_64-linux-gnu/.7//x86_64../..-/linux.-gnu./x86_64-linux-gnu//libopencv_imgcodecs.so../../lib:/ libgdal.so.20undefined:  undefined referencereference to ` TIFFSwabArrayOfDouble@LIBTIFF_4.0'to
 /usr/lib/gcc/`x86_64-TIFFReadRGBAStriplinux-gnu/7@/../LIBTIFF_4.0../../x86_64-'linux-gnu/
././/..usr/lib//liblibgdal.so.20: undefined reference to/ `TIFFReadRGBATileExt@LIBTIFF_4.0x86_64'
/usr-/lib/gcclinux/-x86_64gnu-linux-gnu//7/../../.libgeotiff.so.2./x86_64-:linux -gnuundefined/ libopencv_imgcodecs.soreference: undefined  reference toto  `TIFFReadEncodedStrip`@LIBTIFF_4.0'
_TIFFmemcpy/@usrLIBTIFF_4.0/'lib
//gcc/usrx86_64/-liblinux-gnu//7/../..gcc//../x86_64x86_64-linux--gnu/..linux/-.gnu./lib/libgdal.so.20:/ undefined7 /reference. .to/ ../`TIFFUnlinkDirectory@.LIBTIFF_4.0'
/.usr/lib//x86_64gcc-/x86_64linux--linuxgnu-gnu/7/./.libopencv_imgcodecs.so/:. .undefined/ .reference. /tox86_64- linux-`gnuTIFFReadDirectory/@..LIBTIFF_4.0/'.
./lib//libgdal.so.20/:usr undefined reference /to lib`TIFFUnsetField@/LIBTIFF_4.0libgdal.so.20':
 /undefined referenceusr /libto/ gcc`TIFFClientdata/x86_64-linux@-LIBTIFF_4.0gnu'/7
/..//..//../x86_64usr-/linuxlib-gnu/libopencv_imgcodecs.so: /undefined reference x86_64to `-TIFFSetField@LIBTIFF_4.0linux'
/usr/lib/gcc/-x86_64-gnulinux/-libgeotiff.so.2gnu/7/../.:. /undefined. .reference/ x86_64to-linux-gnu/. ./..`_TIFFrealloc/lib/libgdal.so.20@:LIBTIFF_4.0 '
undefined/ /referenceusr /tolib/ x86_64`-TIFFMergeFieldInfo@LIBTIFF_4.0linux'-
gnu/usr//liblibgeotiff.so.2/gcc/x86_64-linux:- gnu/7/undefined../. .reference/ .to. `_TIFFmemset/x86_64-linux-@gnuLIBTIFF_4.0'/
..//../lib//libgdal.so.20: usrundefined/ referencelib to /`TIFFCurrentDirOffsetlibgdal.so.20@LIBTIFF_4.0'
:/ usrundefined/ libreference/ gccto/ x86_64`-TIFFLastDirectorylinux@-LIBTIFF_4.0gnu'/
7///.usr.//lib./.libgdal.so.20/:. .undefined/ x86_64reference- linuxto- gnu`/TIFFReadRGBAStripExt.@.LIBTIFF_4.0/'.
.//usrlib//liblibgdal.so.20/:gcc /undefinedx86_64 -referencelinux -tognu /`TIFFIsCODECConfigured@LIBTIFF_4.0'
/usr7//lib./.gcc//.x86_64.-/linux.-.gnu/x86_64-/linux7-/gnu../../..//x86_64libopencv_imgcodecs.so-linux-gnu:/ ../../undefinedlib /libgdal.so.20: undefinedreference reference to  to ``TIFFDataWidthTIFFWriteEncodedStrip@@LIBTIFF_4.0LIBTIFF_4.0''

///usr/lib/usrlibgdal.so.20/:lib /undefinedgcc /referencex86_64 -linux-tognu //`7TIFFSwabArrayOfShort/@.LIBTIFF_4.0usr.'/
./.usr//.lib.//gccx86_64/lib/x86_64--linux/linux-gcc-gnu/gnu//libopencv_imgcodecs.so7: x86_64/undefined- .linuxreference- .gnuto// .`.TIFFSetWarningHandler/@7.LIBTIFF_4.0'.
///usr./.libx86_64//-gcc.linux/.x86_64/--linuxgnu-/gnulibopencv_imgcodecs.so/.7:/. .undefined.//x86_64.- .referencelinux/ .-to. /`x86_64TIFFIsTiled-@gnulinuxLIBTIFF_4.0/-'gnu
//./.usr//.lib.//libgdal.so.20lib:/ libgdal.so.20: libopencv_imgcodecs.soundefined reference to:  `undefinedTIFFGetConfiguredCODECs @referenceLIBTIFF_4.0 'to
 /`/usr/TIFFReadRGBAStriplib@/LIBTIFF_4.0x86_64'-
linux/-/gnuusr//libgdcmMSFF.so.2.8lib:/ x86_64undefined- linuxreference- gnuto/ libgeotiff.so.2`:uuid_unparse @undefinedUUID_1.0 'reference
 /tousr /`lib_TIFFmemcpy/@gccLIBTIFF_4.0/'x86_64
-/linuxusr-/gnulib//7gcc//.x86_64.-/linux.-.gnu//.7.//.x86_64.-/linux.-.gnu//.libopencv_imgcodecs.so.:/ x86_64undefined- linuxreference- gnuto/ libopencv_imgcodecs.so`:TIFFSetErrorHandler @undefinedLIBTIFF_4.0 'reference
 /tousr /`libTIFFReadDirectory/@gccLIBTIFF_4.0/'x86_64
-/linux/-usrgnu//lib7//libgdal.so.20.:. /undefined. .reference/ .to. /`x86_64TIFFClientdata-@linuxLIBTIFF_4.0-'gnu
//./.usr//.lib.//x86_64lib-/linuxlibgdal.so.20-:gnu /undefinedlibgeotiff.so.2 :reference  undefinedto  reference` TIFFGetSizeProcto@ LIBTIFF_4.0`'_TIFFrealloc
@/LIBTIFF_4.0usr'/
lib///gccusr//x86_64lib-/linuxx86_64--gnulinux/-7gnu//.libgeotiff.so.2.:/ .undefined. /reference. .to/ x86_64`-_TIFFmemsetlinux@-LIBTIFF_4.0gnu'/
././/usr./.lib//liblibgdal.so.20/:libgdal.so.20 :undefined  undefinedreference  referenceto  to` TIFFLastDirectory`@TIFFRewriteDirectoryLIBTIFF_4.0@'LIBTIFF_4.0
'/
//usr//usrlib//liblibgdal.so.20/:x86_64 -undefinedlinux -referencegnu /tolibgeotiff.so.2 :` TIFFReadRGBAStripExtundefined@ LIBTIFF_4.0reference' 
to/ usr`/_TIFFmalloclib@/LIBTIFF_4.0gcc'/
x86_64/-usrlinux/-libgnu//gcc7//x86_64.-.linux/-.gnu.//7./../.x86_64/-.linux.-/gnu././x86_64-libopencv_imgcodecs.solinux-:gnu /undefined .reference. /to. .`/TIFFWriteEncodedStriplib@/LIBTIFF_4.0libgdal.so.20':
 /undefined/ usrreference/ libto/ libgdal.so.20`:TIFFSetDirectory @undefinedLIBTIFF_4.0 'reference
 /tousr /`libTIFFSwabArrayOfShort/@gccLIBTIFF_4.0/'x86_64
-/linuxusr-/gnulib/7/..//..gcc/./.x86_64/-x86_64linux--linuxgnu-/gnu7//....//....//lib./.libgdal.so.20/:x86_64 -undefinedlinux -referencegnu /tolibopencv_imgcodecs.so :` TIFFReadScanlineundefined@ LIBTIFF_4.0reference' 
to/ usr/lib`/TIFFIsTiledgcc@/LIBTIFF_4.0x86_64'-
linux/-/gnuusr//7lib//.libgdal.so.20.:/ .undefined. /reference. .to/ x86_64`-TIFFIsByteSwappedlinux@-LIBTIFF_4.0gnu'/
././/usr./.lib//liblibgdal.so.20/:libgdal.so.20 :undefined  undefinedreference  referenceto  to` TIFFFlushData`TIFFNumberOfTiles@@LIBTIFF_4.0LIBTIFF_4.0''

//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference collect2: error: ld returned 1 exit status
to `TIFFDefaultStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-undefined reference to `TIFFIsByteSwapped@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlushData@LIBTIFF_4.0'
//usr/libgnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
Makefile:613: recipe for target '.build_release/examples/cpp_classification/classification.bin' failed
//usr/make: *** [.build_release/examples/cpp_classification/classification.bin] Error 1
lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference /libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfDouble@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBATileExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnlinkDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnsetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetField@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFMergeFieldInfo@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCurrentDirOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsCODECConfigured@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDataWidth@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfDouble@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBATileExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnlinkDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnsetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetField@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFMergeFieldInfo@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCurrentDirOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsCODECConfigured@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDataWidth@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64Makefile:608: recipe for target '.build_release/tools/upgrade_solver_proto_text.bin' failed
make: *** [.build_release/tools/upgrade_solver_proto_text.bin] Error 1
-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
Makefile:608: recipe for target '.build_release/tools/upgrade_net_proto_binary.bin' failed
make: *** [.build_release/tools/upgrade_net_proto_binary.bin] Error 1
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemcpy@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFClientdata@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFrealloc@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFLastDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBAStripExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsByteSwapped@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlushData@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFStripSize@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfDouble@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadRGBATileExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnlinkDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFUnsetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetField@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFMergeFieldInfo@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFCurrentDirOffset@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFIsCODECConfigured@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFDataWidth@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemcpy@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFClientdataMakefile:608: recipe for target '.build_release/tools/caffe.bin' failed
@make: *** [.build_release/tools/caffe.bin] Error 1
LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFrealloc@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemset@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFLastDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadRGBAStripExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteEncodedStrip@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFIsByteSwapped@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFlushData@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteCheck@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetWriteOffset@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFScanlineSize64@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libpoppler.so.73: undefined reference to `TIFFFdOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFIsBigEndian@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `_TIFFfree@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabShort@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFreeDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFGetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteBufferSetup@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabLong@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_generate@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFFlush@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetTagExtender@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_parse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteRawStrip@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFErrorExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfLong@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFTileSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFWriteRawTile@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFStripSize64@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFOpen@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFCreateDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetSubDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFStripSize@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSwabArrayOfDouble@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadRGBATileExt@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFUnlinkDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFUnsetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetField@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFMergeFieldInfo@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFCurrentDirOffset@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFIsCODECConfigured@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFDataWidth@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
Makefile:613: recipe for target '.build_release/examples/cifar10/convert_cifar_data.bin' failed
make: *** [.build_release/examples/cifar10/convert_cifar_data.bin] Error 1
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmemcpy@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
//usr/lib/libgdal.so.20: undefined reference to /`usrTIFFClientdata/@libLIBTIFF_4.0/'gcc
//x86_64/-usrlinux/-libgnu//x86_647-/linux.-.gnu//.libgeotiff.so.2.:/ .undefined. /referencex86_64 -tolinux -`gnu_TIFFrealloc/@libopencv_imgcodecs.soLIBTIFF_4.0:' 
undefined/ /referenceusr /tolib /`x86_64TIFFReadRGBAStrip-@linuxLIBTIFF_4.0-'gnu
//libgeotiff.so.2/:usr /undefinedlib /referencex86_64 -tolinux -`gnu_TIFFmemset/@libgeotiff.so.2LIBTIFF_4.0:' 
undefined/ /referenceusr /tolib /`libgdal.so.20_TIFFmemcpy:@ LIBTIFF_4.0undefined' 
reference/ usrto/ lib`/TIFFLastDirectorygcc@/LIBTIFF_4.0x86_64'-
linux/-/gnuusr//7lib//.libgdal.so.20.:/ .undefined. /reference. .to/ x86_64`-TIFFReadRGBAStripExtlinux@-LIBTIFF_4.0gnu'/
libopencv_imgcodecs.so/:usr /undefinedlib /referencegcc /tox86_64 -`linuxTIFFReadDirectory-@gnuLIBTIFF_4.0/'7
//.usr.//lib./.gcc//.x86_64.-/linuxx86_64--gnulinux/-7gnu//.libopencv_imgcodecs.so.:/ .undefined. /reference. .to/ x86_64`-TIFFWriteEncodedStriplinux@-LIBTIFF_4.0gnu'/
././/usr./.lib//liblibgdal.so.20/:libgdal.so.20 :undefined  undefinedreference  referenceto  to` TIFFSwabArrayOfShort`@TIFFClientdataLIBTIFF_4.0@'LIBTIFF_4.0
'/
usr///libusr//gcclib//x86_64x86_64--linuxlinux--gnugnu//7libgeotiff.so.2/:. .undefined/ .reference. /to. .`/_TIFFreallocx86_64@-LIBTIFF_4.0linux'-
gnu///libopencv_imgcodecs.sousr:/ libundefined/ x86_64reference- linuxto- gnu`/TIFFIsTiledlibgeotiff.so.2@:LIBTIFF_4.0 'undefined
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-/gnu//usr7//lib./.libgdal.so.20/:. .undefined/ .reference. /tox86_64 -`linuxTIFFFlushData-@gnuLIBTIFF_4.0/'.
.///.usr.//liblib//libgdal.so.20libgdal.so.20::  undefinedundefined  referencereference  toto  ``TIFFWriteCheckTIFFLastDirectory@@LIBTIFF_4.0LIBTIFF_4.0''

///usrusr//liblib//gcclibgdal.so.20/:x86_64 -undefinedlinux -referencegnu /to7 /`.TIFFSetWriteOffset.@/LIBTIFF_4.0.'.
//./.usr//x86_64lib-/linuxlibgdal.so.20-:gnu /undefined. .reference/ .to. /`libTIFFDefaultStripSize/@libgdal.so.20LIBTIFF_4.0:' 
undefined/ /referenceusr /tolib /`libgdal.so.20TIFFReadRGBAStripExt:@ LIBTIFF_4.0undefined' 
reference/ usrto/ lib`/TIFFScanlineSize64gcc@/LIBTIFF_4.0x86_64'-
linux/-/gnuusr//7lib//.x86_64.-/linux.-.gnu//.libpoppler.so.73.:/ x86_64undefined- linuxreference- gnuto/ libopencv_imgcodecs.so`:TIFFFdOpen @undefinedLIBTIFF_4.0 'reference
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//7usr//.lib.//gcc./.x86_64/-.linux.-/gnux86_64/-7linux/-.gnu.//....//....//libx86_64/-libgdal.so.20linux:- gnuundefined/ libopencv_imgcodecs.soreference:  toundefined  `referenceTIFFSwabArrayOfShort @toLIBTIFF_4.0 '`
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//gcc//usrx86_64/-liblinux/-libgdal.so.20gnu:/ 7undefined/ .reference. /to. .`/_TIFFfree.@.LIBTIFF_4.0/'x86_64
-/linux/-usrgnu//liblibopencv_imgcodecs.so/:libgdal.so.20 :undefined  undefinedreference  referenceto  to` TIFFIsTiled`@TIFFSwabShortLIBTIFF_4.0@'LIBTIFF_4.0/
'/usr
usr///lib/lib/usr/gccgcc///libx86_64x86_64/--libgdal.so.20linuxlinux:-- gnugnuundefined// 77reference// ..to.. //`..TIFFFreeDirectory..@//LIBTIFF_4.0..'..
///x86_64x86_64usr--/linuxlinuxlib--/gnugnugcc///libopencv_imgcodecs.so.x86_64:.- /linuxundefined.-. gnu/reference/lib 7//tolibgdal.so.20. :.` /TIFFReadRGBAStripundefined.@ .LIBTIFF_4.0reference/' .
to./ /`x86_64/TIFFIsByteSwapped-usr@/linuxLIBTIFF_4.0lib-'/gnu
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lib.///usrgcc.//.libx86_64//-x86_64gcclinux-/-linuxx86_64gnu--/gnulinux7/-/.gnu.././7/./...././lib/./..libgdal.so.20./:/x86_64 .-undefined.linux /reference-x86_64 gnu-to/linux libopencv_imgcodecs.so-`:gnuTIFFFlushData /@undefinedlibopencv_imgcodecs.soLIBTIFF_4.0 :'reference  
undefinedto/  usrreference`/ TIFFNumberOfStripslibto@/ LIBTIFF_4.0gcc`/'TIFFReadDirectoryx86_64
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gnu/LIBTIFF_4.0//usr'/libpoppler.so.73/
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//7usr//.lib.//gcc./.x86_64/-.linux.-/gnux86_64/-7linux/-.gnu.//....//....//libx86_64/-libgdal.so.20linux:- gnuundefined/ .reference. /to. .`/TIFFCreateDirectorylib@/LIBTIFF_4.0libgdal.so.20':
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//7usr//.lib.//gcc./.x86_64/-.linux.-/gnux86_64/-7linuxMakefile:608: recipe for target '.build_release/tools/extract_features.bin' failed
/-.make: *** [.build_release/tools/extract_features.bin] Error 1
gnu.//....//....//libx86_64/-libgdal.so.20linux:- gnuundefined/ .reference. /to. .`/TIFFSetSubDirectorylib@/LIBTIFF_4.0libgdal.so.20':
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//.usr.//liblib//gcclibgdal.so.20/:x86_64 -undefinedlinux -referencegnu /to7 /`.TIFFUnsetField.@/LIBTIFF_4.0.'.
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7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
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../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetConfiguredCODECs@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgdcmMSFF.so.2.8: undefined reference to `uuid_unparse@UUID_1.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libopencv_imgcodecs.so: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFGetSizeProc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../Makefile:613: recipe for target '.build_release/examples/siamese/convert_mnist_siamese_data.bin' failed
lib/make: *** [.build_release/examples/siamese/convert_mnist_siamese_data.bin] Error 1
libgdal.so.20: undefined reference to `TIFFRewriteDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libgeotiff.so.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/../../lib/libgdal.so.20: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
Makefile:613: recipe for target '.build_release/examples/mnist/convert_mnist_data.bin' failed
make: *** [.build_release/examples/mnist/convert_mnist_data.bin] Error 1
(pygoturn) wangxiao@wx:~/Downloads/PY-GOTURN$ conda uninstall libtiff

 

 

A44.  conda uninstall libtiff   reference: https://github.com/colmap/colmap/issues/188 

 

Q45. AssertionError: 

The NVIDIA driver on your system is too old (found version 9000). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx 

Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. 

A45. 目测是由于 pytorch 版本和 cuda 版本不一致导致的：https://www.zhihu.com/question/309583980?sort=created 

So ??? Try this: 

　　conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch 

 

  

Q46. ERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device 

 

(pymdnet) wangxiao@o:~/data$ pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.2.0
Downloading https://download.pytorch.org/whl/cu92/torch-1.2.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (663.1MB)
|████████████████████████████████| 663.1MB 9.8MB/s eta 0:00:01ERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device

 

(pymdnet) wangxiao@o:~/data$ export TMPDIR=/home/wangxiao/data/tmp
(pymdnet) wangxiao@o:~/data$ pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.2.0
Downloading https://download.pytorch.org/whl/cu92/torch-1.2.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (663.1MB)
|████████████████████████████████| 663.1MB 11kB/s
Collecting torchvision==0.4.0
Downloading https://download.pytorch.org/whl/cu92/torchvision-0.4.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (8.8MB)
|████████████████████████████████| 8.8MB 916kB/s
Collecting future
Downloading https://files.pythonhosted.org/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829kB)
|████████████████████████████████| 829kB 168kB/s
Collecting numpy
Using cached https://files.pythonhosted.org/packages/d7/b1/3367ea1f372957f97a6752ec725b87886e12af1415216feec9067e31df70/numpy-1.16.5-cp27-cp27mu-manylinux1_x86_64.whl 

 

Q47. 

from torchvision import _C

ImportError: libcudart.so.9.0: cannot open shared object file: No such file or directory 

A47. pip install torchvision==0.2.2 will be ok.  

 

Q48. ImportError: libmkl_rt.so: cannot open shared object file: No such file or directory 

A48. First, you need to locate the lib files by: 

# locate libmkl_rt.so 

/home/wangxiao/anaconda3/lib/libmkl_rt.so
/home/wangxiao/anaconda3/pkgs/mkl-2018.0.2-1/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/GlobalTrack/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/TrackingNet/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/aaai/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/beamtracker/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/goturn2.0/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/pysot/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/rtmdnet/lib/libmkl_rt.so
/home/wangxiao/miniconda3/envs/sint3.0/lib/libmkl_rt.so
/home/wangxiao/miniconda3/lib/libmkl_rt.so
/home/wangxiao/miniconda3/pkgs/mkl-2019.4-243/lib/libmkl_rt.so 

Then, you can execute following: 

export LD_LIBRARY_PATH=/home/wangxiao/anaconda3/pkgs/mkl-2018.0.2-1/lib/:$LD_LIBRARY_PATH 

Then, this problem can be solved. 

 

Q49. ModuleNotFoundError: No module named 'six'?

 

/home/wangxiao/miniconda3/envs/mdnet/lib/python3.7/site-packages/numpy/__init__.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import _distributor_init
Traceback (most recent call last):
File "test_got10k_mdnet.py", line 1, in <module>
import numpy as np
File "/home/wangxiao/miniconda3/envs/mdnet/lib/python3.7/site-packages/numpy/__init__.py", line 235, in <module>
import mkl
File "/home/wangxiao/miniconda3/envs/mdnet/lib/python3.7/site-packages/mkl/__init__.py", line 54, in <module>
from ._py_mkl_service import *
File "mkl/_mkl_service.pyx", line 27, in init mkl._py_mkl_service
ModuleNotFoundError: No module named 'six'

A49. This error can't be solved by simply: pip install six. I tried this: conda install -c intel mkl-service 

 

Q50. 使用conda install安装软件遇到如下错误:  Segmentation fault (core dumped) 

通过检索，发现可能是之前安装的时候网络不良导致中途出错，于是有些包虽然在本地缓存了，但其实不完整。

解决方法: conda clean -a 删除所有缓存即可. from: https://blog.csdn.net/u012110870/article/details/103800701 

 

Q51. 生成一组随机数：

A51. Source: https://blog.csdn.net/u014182497/article/details/80733202 

简单的随机数据

rand(d0, d1, ..., dn)	随机值 >>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049, 0.94909878]]) #random
randn(d0, d1, ..., dn)	返回一个样本，具有标准正态分布。 Notes For random samples from , use: sigma * np.random.randn(...) + mu Examples >>> np.random.randn() 2.1923875335537315 #random Two-by-four array of samples from N(3, 6.25): >>> 2.5 * np.random.randn(2, 4) + 3 array([[-4.49401501, 4.00950034, -1.81814867, 7.29718677], #random [ 0.39924804, 4.68456316, 4.99394529, 4.84057254]]) #random
randint(low[, high, size])	返回随机的整数，位于半开区间 [low, high)。 >>> np.random.randint(2, size=10) array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0]) >>> np.random.randint(1, size=10) array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) Generate a 2 x 4 array of ints between 0 and 4, inclusive: >>> np.random.randint(5, size=(2, 4)) array([[4, 0, 2, 1], [3, 2, 2, 0]])
random_integers(low[, high, size])	返回随机的整数，位于闭区间 [low, high]。 Notes To sample from N evenly spaced floating-point numbers between a and b, use: a + (b - a) * (np.random.random_integers(N) - 1) / (N - 1.) Examples >>> np.random.random_integers(5) 4 >>> type(np.random.random_integers(5)) <type ‘int‘> >>> np.random.random_integers(5, size=(3.,2.)) array([[5, 4], [3, 3], [4, 5]]) Choose five random numbers from the set of five evenly-spaced numbers between 0 and 2.5, inclusive (i.e., from the set): >>> 2.5 * (np.random.random_integers(5, size=(5,)) - 1) / 4. array([ 0.625, 1.25 , 0.625, 0.625, 2.5 ]) Roll two six sided dice 1000 times and sum the results: >>> d1 = np.random.random_integers(1, 6, 1000) >>> d2 = np.random.random_integers(1, 6, 1000) >>> dsums = d1 + d2 Display results as a histogram: >>> import matplotlib.pyplot as plt >>> count, bins, ignored = plt.hist(dsums, 11, normed=True) >>> plt.show()
random_sample([size])	返回随机的浮点数，在半开区间 [0.0, 1.0)。 To sample multiply the output of random_sample by (b-a) and add a: (b - a) * random_sample() + a Examples >>> np.random.random_sample() 0.47108547995356098 >>> type(np.random.random_sample()) <type ‘float‘> >>> np.random.random_sample((5,)) array([ 0.30220482, 0.86820401, 0.1654503 , 0.11659149, 0.54323428]) Three-by-two array of random numbers from [-5, 0): >>> 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, -0.79479508], [-1.23204345, -1.75224494]])
random([size])	返回随机的浮点数，在半开区间 [0.0, 1.0)。 （官网例子与random_sample完全一样）
ranf([size])	返回随机的浮点数，在半开区间 [0.0, 1.0)。 （官网例子与random_sample完全一样）
sample([size])	返回随机的浮点数，在半开区间 [0.0, 1.0)。 （官网例子与random_sample完全一样）
choice(a[, size, replace, p])	生成一个随机样本，从一个给定的一维数组 Examples Generate a uniform random sample from np.arange(5) of size 3: >>> np.random.choice(5, 3) array([0, 3, 4]) >>> #This is equivalent to np.random.randint(0,5,3) Generate a non-uniform random sample from np.arange(5) of size 3: >>> np.random.choice(5, 3, p=[0.1, 0, 0.3, 0.6, 0]) array([3, 3, 0]) Generate a uniform random sample from np.arange(5) of size 3 without replacement: >>> np.random.choice(5, 3, replace=False) array([3,1,0]) >>> #This is equivalent to np.random.permutation(np.arange(5))[:3] Generate a non-uniform random sample from np.arange(5) of size 3 without replacement: >>> np.random.choice(5, 3, replace=False, p=[0.1, 0, 0.3, 0.6, 0]) array([2, 3, 0]) Any of the above can be repeated with an arbitrary array-like instead of just integers. For instance: >>> aa_milne_arr = [‘pooh‘, ‘rabbit‘, ‘piglet‘, ‘Christopher‘] >>> np.random.choice(aa_milne_arr, 5, p=[0.5, 0.1, 0.1, 0.3]) array([‘pooh‘, ‘pooh‘, ‘pooh‘, ‘Christopher‘, ‘piglet‘], dtype=‘|S11‘)
bytes(length)	返回随机字节。 >>> np.random.bytes(10) ‘ eh\x85\x022SZ\xbf\xa4‘ #random

排列

shuffle(x)	现场修改序列，改变自身内容。（类似洗牌，打乱顺序） >>> arr = np.arange(10) >>> np.random.shuffle(arr) >>> arr [1 7 5 2 9 4 3 6 0 8]   This function only shuffles the array along the first index of a multi-dimensional array: >>> arr = np.arange(9).reshape((3, 3)) >>> np.random.shuffle(arr) >>> arr array([[3, 4, 5], [6, 7, 8], [0, 1, 2]])
permutation(x)	返回一个随机排列 >>> np.random.permutation(10) array([1, 7, 4, 3, 0, 9, 2, 5, 8, 6]) >>> np.random.permutation([1, 4, 9, 12, 15]) array([15, 1, 9, 4, 12]) >>> arr = np.arange(9).reshape((3, 3)) >>> np.random.permutation(arr) array([[6, 7, 8], [0, 1, 2], [3, 4, 5]])

分布

beta(a, b[, size])	贝塔分布样本，在 [0, 1]内。
binomial(n, p[, size])	二项分布的样本。
chisquare(df[, size])	卡方分布样本。
dirichlet(alpha[, size])	狄利克雷分布样本。
exponential([scale, size])	指数分布
f(dfnum, dfden[, size])	F分布样本。
gamma(shape[, scale, size])	伽马分布
geometric(p[, size])	几何分布
gumbel([loc, scale, size])	耿贝尔分布。
hypergeometric(ngood, nbad, nsample[, size])	超几何分布样本。
laplace([loc, scale, size])	拉普拉斯或双指数分布样本
logistic([loc, scale, size])	Logistic分布样本
lognormal([mean, sigma, size])	对数正态分布
logseries(p[, size])	对数级数分布。
multinomial(n, pvals[, size])	多项分布
multivariate_normal(mean, cov[, size])	多元正态分布。 >>> mean = [0,0] >>> cov = [[1,0],[0,100]] # diagonal covariance, points lie on x or y-axis >>> import matplotlib.pyplot as plt >>> x, y = np.random.multivariate_normal(mean, cov, 5000).T >>> plt.plot(x, y, ‘x‘); plt.axis(‘equal‘); plt.show()
negative_binomial(n, p[, size])	负二项分布
noncentral_chisquare(df, nonc[, size])	非中心卡方分布
noncentral_f(dfnum, dfden, nonc[, size])	非中心F分布
normal([loc, scale, size])	正态(高斯)分布 Notes The probability density for the Gaussian distribution is where  is the mean and  the standard deviation. The square of the standard deviation, , is called the variance. The function has its peak at the mean, and its “spread” increases with the standard deviation (the function reaches 0.607 times its maximum at  and  [R217]).   Examples Draw samples from the distribution: >>> mu, sigma = 0, 0.1 # mean and standard deviation >>> s = np.random.normal(mu, sigma, 1000) Verify the mean and the variance: >>> abs(mu - np.mean(s)) < 0.01 True >>> abs(sigma - np.std(s, ddof=1)) < 0.01 True Display the histogram of the samples, along with the probability density function: >>> import matplotlib.pyplot as plt >>> count, bins, ignored = plt.hist(s, 30, normed=True) >>> plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) * ... np.exp( - (bins - mu)**2 / (2 * sigma**2) ), ... linewidth=2, color=‘r‘) >>> plt.show()
pareto(a[, size])	帕累托（Lomax）分布
poisson([lam, size])	泊松分布
power(a[, size])	Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
rayleigh([scale, size])	Rayleigh 分布
standard_cauchy([size])	标准柯西分布
standard_exponential([size])	标准的指数分布
standard_gamma(shape[, size])	标准伽马分布
standard_normal([size])	标准正态分布 (mean=0, stdev=1).
standard_t(df[, size])	Standard Student’s t distribution with df degrees of freedom.
triangular(left, mode, right[, size])	三角形分布
uniform([low, high, size])	均匀分布
vonmises(mu, kappa[, size])	von Mises分布
wald(mean, scale[, size])	瓦尔德（逆高斯）分布
weibull(a[, size])	Weibull 分布
zipf(a[, size])	齐普夫分布

随机数生成器

RandomState	Container for the Mersenne Twister pseudo-random number generator.
seed([seed])	Seed the generator.
get_state()	Return a tuple representing the internal state of the generator.
set_state(state)	Set the internal state of the generator from a tuple.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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(pymdnet) wangxiao@o:~/data$ pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.htmlDEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-supportLooking in links: https://download.pytorch.org/whl/torch_stable.htmlCollecting torch==1.2.0  Downloading https://download.pytorch.org/whl/cu92/torch-1.2.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (663.1MB)     |████████████████████████████████| 663.1MB 9.8MB/s eta 0:00:01ERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device
(pymdnet) wangxiao@o:~/data$ export TMPDIR=/home/wangxiao/data/tmp(pymdnet) wangxiao@o:~/data$ pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.htmlDEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-supportLooking in links: https://download.pytorch.org/whl/torch_stable.htmlCollecting torch==1.2.0  Downloading https://download.pytorch.org/whl/cu92/torch-1.2.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (663.1MB)     |████████████████████████████████| 663.1MB 11kB/s Collecting torchvision==0.4.0  Downloading https://download.pytorch.org/whl/cu92/torchvision-0.4.0%2Bcu92-cp27-cp27mu-manylinux1_x86_64.whl (8.8MB)     |████████████████████████████████| 8.8MB 916kB/s Collecting future  Downloading https://files.pythonhosted.org/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829kB)     |████████████████████████████████| 829kB 168kB/s Collecting numpy  Using cached https://files.pythonhosted.org/packages/d7/b1/3367ea1f372957f97a6752ec725b87886e12af1415216feec9067e31df70/numpy-1.16.5-cp27-cp27mu-manylinux1_x86_64.whl

 

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