Comments (10)
ABDOELSHEMY
commented on June 1, 2024
2
Actually, i use it always on Windows without any issues
python 3.5.4
tensorflow_1.3.0
numpy-1.13.1+mkl
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brade31919
commented on June 1, 2024
I didn't test it on Windows because the compatibility of tensorflow on windows is not good at the time when I completed the project. If you use VirtualBox, I think it will work under Ubuntu 16.04.
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SmezMorePrakezz
commented on June 1, 2024
@ABDOELSHEMY Thank you very much, I install from the beginning, and it works!
But... It's quite slow, maybe it only uses CPU. What if I'm gonna use it with GPU (I have GTX1050 So I wanna use it). Can you tell me how to set up, install, or prepare any settings or software to make this program can run on GPU?
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ABDOELSHEMY
commented on June 1, 2024
to use it with GPU, just uninstall (tensorflow_1.3.0) and install (tensorflow_1.3.0 -gpu) version, and it always run using you gpu.
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SmezMorePrakezz
commented on June 1, 2024
@ABDOELSHEMY I uninstall tensorflow and install tensorflow-gpu as you said. I also check if there's CUDA toolkit 8.0 and CuDNN v6.0 DLL present. This is its output.
Traceback (most recent call last):
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper
return importlib.import_module(mname)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 985, in _gcd_import
File "<frozen importlib._bootstrap>", line 968, in _find_and_load
File "<frozen importlib._bootstrap>", line 957, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 666, in _load_unlocked
File "<frozen importlib._bootstrap>", line 577, in module_from_spec
File "<frozen importlib._bootstrap_external>", line 938, in create_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper
return importlib.import_module('_pywrap_tensorflow_internal')
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ImportError: No module named '_pywrap_tensorflow_internal'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 5, in <module>
import tensorflow as tf
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensorflow.python import *
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 52, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper
return importlib.import_module(mname)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 985, in _gcd_import
File "<frozen importlib._bootstrap>", line 968, in _find_and_load
File "<frozen importlib._bootstrap>", line 957, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 666, in _load_unlocked
File "<frozen importlib._bootstrap>", line 577, in module_from_spec
File "<frozen importlib._bootstrap_external>", line 938, in create_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper
return importlib.import_module('_pywrap_tensorflow_internal')
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ImportError: No module named '_pywrap_tensorflow_internal'
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
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ABDOELSHEMY
commented on June 1, 2024
seem like you don not add path for CuDNN on environment variables, make sure to add path for CuDNN to the system path first.
then make sure that Microsoft Visual C++ 2015 Redistributable Update 3 installed
https://www.microsoft.com/en-us/download/details.aspx?id=53587
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SmezMorePrakezz
commented on June 1, 2024
Yes, it works. I can process small images now.
But here comes the next problem, If I want to enlarge a bigger picture, It cannot. Even the picture is just 320x240 pixels. This is its output, too long because I don't know where are the important parts.
[Configurations]:
summary_dir: ./result/log/
stair: False
mode: inference
random_crop: True
max_epoch: None
name_queue_capacity: 2048
ratio: 0.001000
perceptual_mode: VGG54
decay_rate: 0.100000
decay_step: 500000
pre_trained_model_type: SRResnet
is_training: False
vgg_ckpt: ./vgg19/vgg_19.ckpt
flip: True
summary_freq: 100
pre_trained_model: True
output_dir: ./result/
num_resblock: 16
task: SRGAN
input_dir_HR: None
queue_thread: 10
learning_rate: 0.000100
input_dir_LR: ./data/test_LR/
checkpoint: ./SRGAN_pre-trained/model-200000
beta: 0.900000
batch_size: 16
EPS: 0.000000
max_iter: 1000000
crop_size: 24
image_queue_capacity: 2048
display_freq: 20
save_freq: 10000
vgg_scaling: 0.006100
End of configuration
Finish building the network
2017-12-08 21:21:19.940101: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-12-08 21:21:19.940182: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-12-08 21:21:20.256435: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1050
major: 6 minor: 1 memoryClockRate (GHz) 1.468
pciBusID 0000:01:00.0
Total memory: 2.00GiB
Free memory: 1.62GiB
2017-12-08 21:21:20.256539: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:976] DMA: 0
2017-12-08 21:21:20.258208: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:986] 0: Y
2017-12-08 21:21:20.258628: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0)
Loading weights from the pre-trained model
Evaluation starts!!
2017-12-08 21:21:24.175293: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 675.00MiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-08 21:21:25.236154: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 675.00MiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-08 21:21:38.110621: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:273] Allocator (GPU_0_bfc) ran out of memory trying to allocate 300.00MiB. Current allocation summary follows.
2017-12-08 21:21:38.111394: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (256): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.113156: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (512): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.113580: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (1024): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.114034: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (2048): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.114790: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (4096): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.114988: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (8192): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.115291: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (16384): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.115878: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (32768): Total Chunks: 1, Chunks in use: 0 54.5KiB allocated for chunks. 512B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.116038: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (65536): Total Chunks: 1, Chunks in use: 0 83.0KiB allocated for chunks. 60.8KiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.116329: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (131072): Total Chunks: 1, Chunks in use: 0 144.0KiB allocated for chunks. 144.0KiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.116628: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (262144): Total Chunks: 1, Chunks in use: 0 288.0KiB allocated for chunks. 256.0KiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.116890: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (524288): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.117146: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (1048576): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.117429: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (2097152): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.117704: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (4194304): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.117974: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (8388608): Total Chunks: 1, Chunks in use: 0 8.00MiB allocated for chunks. 4.69MiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.118215: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (16777216): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.118489: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (33554432): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.118736: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (67108864): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.119040: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (134217728): Total Chunks: 3, Chunks in use: 0 391.43MiB allocated for chunks. 14.06MiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.119333: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (268435456): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
2017-12-08 21:21:38.119582: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:660] Bin for 300.00MiB was 256.00MiB, Chunk State:
2017-12-08 21:21:38.119807: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502200000 of size 1280
2017-12-08 21:21:38.120196: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502200500 of size 256
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2017-12-08 21:21:38.182338: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005026D9B00 of size 147712
2017-12-08 21:21:38.182646: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005026FDC00 of size 147968
2017-12-08 21:21:38.183128: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502721E00 of size 256
2017-12-08 21:21:38.183350: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502721F00 of size 256
2017-12-08 21:21:38.183663: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502722000 of size 256
2017-12-08 21:21:38.183920: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502722100 of size 256
2017-12-08 21:21:38.184167: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502722200 of size 147712
2017-12-08 21:21:38.184409: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502746300 of size 147456
2017-12-08 21:21:38.184639: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000050276A300 of size 256
2017-12-08 21:21:38.184912: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000050276A400 of size 256
2017-12-08 21:21:38.185150: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000050276A500 of size 147456
2017-12-08 21:21:38.185405: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000050278E500 of size 147456
2017-12-08 21:21:38.185645: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005027B2500 of size 147456
2017-12-08 21:21:38.185886: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005027D6500 of size 170752
2017-12-08 21:21:38.186126: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502800000 of size 147456
2017-12-08 21:21:38.186375: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502824000 of size 147456
2017-12-08 21:21:38.187085: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502848000 of size 147456
2017-12-08 21:21:38.188048: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000050286C000 of size 147456
2017-12-08 21:21:38.188438: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502890000 of size 147456
2017-12-08 21:21:38.188718: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005028B4000 of size 147456
2017-12-08 21:21:38.188991: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005028D8000 of size 147456
2017-12-08 21:21:38.189216: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005028FC000 of size 256
2017-12-08 21:21:38.189507: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005028FC100 of size 62208
2017-12-08 21:21:38.189796: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502920000 of size 147456
2017-12-08 21:21:38.190068: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502944000 of size 147456
2017-12-08 21:21:38.190359: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502968000 of size 147456
2017-12-08 21:21:38.190598: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005029B0000 of size 147456
2017-12-08 21:21:38.190875: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005029D4000 of size 589824
2017-12-08 21:21:38.194404: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502A64000 of size 147456
2017-12-08 21:21:38.194902: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502A88000 of size 147456
2017-12-08 21:21:38.195136: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000502AF4000 of size 1097728
2017-12-08 21:21:38.195467: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 000000050290B400 of size 84992
2017-12-08 21:21:38.195886: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 000000050298C000 of size 147456
2017-12-08 21:21:38.196227: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 0000000502AAC000 of size 294912
2017-12-08 21:21:38.196453: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 0000000502C00000 of size 8388608
2017-12-08 21:21:38.196763: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 0000000503400000 of size 134217728
2017-12-08 21:21:38.197012: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 000000050B400000 of size 134217728
2017-12-08 21:21:38.197248: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000513800000 of size 536870912
2017-12-08 21:21:38.197484: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000533800000 of size 536870912
2017-12-08 21:21:38.197720: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 0000000553800000 of size 142006528
2017-12-08 21:21:38.198002: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:693] Summary of in-use Chunks by size:
2017-12-08 21:21:38.198236: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 127 Chunks of size 256 totalling 31.8KiB
2017-12-08 21:21:38.198464: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 2 Chunks of size 1024 totalling 2.0KiB
2017-12-08 21:21:38.198697: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 1280 totalling 1.3KiB
2017-12-08 21:21:38.198932: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 62208 totalling 60.8KiB
2017-12-08 21:21:38.199163: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 69888 totalling 68.3KiB
2017-12-08 21:21:38.199422: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 27 Chunks of size 147456 totalling 3.80MiB
2017-12-08 21:21:38.199662: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 147712 totalling 432.8KiB
2017-12-08 21:21:38.199901: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 147968 totalling 144.5KiB
2017-12-08 21:21:38.200133: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 158208 totalling 154.5KiB
2017-12-08 21:21:38.200371: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 170752 totalling 166.8KiB
2017-12-08 21:21:38.200602: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 589824 totalling 576.0KiB
2017-12-08 21:21:38.200838: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 1097728 totalling 1.05MiB
2017-12-08 21:21:38.201107: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:696] 2 Chunks of size 536870912 totalling 1.00GiB
2017-12-08 21:21:38.201342: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:700] Sum Total of in-use chunks: 1.01GiB
2017-12-08 21:21:38.201578: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:702] Stats:
Limit: 1499912601
InUse: 1080498688
MaxInUse: 1491530496
NumAllocs: 911
MaxAllocSize: 536870912
2017-12-08 21:21:38.201808: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\bfc_allocator.cc:277] *_________________**********************xxxxxxxxxxxxxx**********************xxxxxxxxxxxxxxx_________
2017-12-08 21:21:38.202031: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Resource exhausted: OOM when allocating tensor with shape[1,960,1280,64]
Traceback (most recent call last):
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1327, in _do_call
return fn(*args)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1306, in _run_fn
status, run_metadata)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in __exit__
next(self.gen)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[1,960,1280,64]
[[Node: generator/generator_unit/subpixelconv_stage1/Abs = Abs[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](generator/generator_unit/subpixelconv_stage1/concat)]]
[[Node: encode_image/output_pngs/while/LoopCond/_383 = _HostRecv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_3659_encode_image/output_pngs/while/LoopCond", tensor_type=DT_BOOL, _device="/job:localhost/replica:0/task:0/cpu:0"](^_cloopencode_image/output_pngs/while/TensorArrayReadV3/_329)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 216, in <module>
results = sess.run(save_fetch, feed_dict={inputs_raw: input_im, path_LR: path_lr})
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1124, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1321, in _do_run
options, run_metadata)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[1,960,1280,64]
[[Node: generator/generator_unit/subpixelconv_stage1/Abs = Abs[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](generator/generator_unit/subpixelconv_stage1/concat)]]
[[Node: encode_image/output_pngs/while/LoopCond/_383 = _HostRecv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_3659_encode_image/output_pngs/while/LoopCond", tensor_type=DT_BOOL, _device="/job:localhost/replica:0/task:0/cpu:0"](^_cloopencode_image/output_pngs/while/TensorArrayReadV3/_329)]]
Caused by op 'generator/generator_unit/subpixelconv_stage1/Abs', defined at:
File "main.py", line 175, in <module>
gen_output = generator(inputs_raw, 3, reuse=False, FLAGS=FLAGS)
File "C:\Users\SMPTHEHEDGEHOG\Desktop\SRGAN-tensorflow\lib\model.py", line 262, in generator
net = prelu_tf(net)
File "C:\Users\SMPTHEHEDGEHOG\Desktop\SRGAN-tensorflow\lib\ops.py", line 64, in prelu_tf
neg = alphas * (inputs - abs(inputs)) * 0.5
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 266, in abs
return gen_math_ops._abs(x, name=name)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 31, in _abs
result = _op_def_lib.apply_op("Abs", x=x, name=name)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Users\SMPTHE~1\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1204, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[1,960,1280,64]
[[Node: generator/generator_unit/subpixelconv_stage1/Abs = Abs[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](generator/generator_unit/subpixelconv_stage1/concat)]]
[[Node: encode_image/output_pngs/while/LoopCond/_383 = _HostRecv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_3659_encode_image/output_pngs/while/LoopCond", tensor_type=DT_BOOL, _device="/job:localhost/replica:0/task:0/cpu:0"](^_cloopencode_image/output_pngs/while/TensorArrayReadV3/_329)]]
I think it's because of RAM, I have only 4GB of RAM and 2GB of VRAM. But I don't know.
from srgan-tensorflow.
ABDOELSHEMY
commented on June 1, 2024
yes, you are right, OOM error refer to out of ram, Unfortunately that this great progect Require alot of ram, and to Avoid out of ram erro, i forced to splite my photos to many slice with photoshop, then upscall it with srgan, finally Merge it again, seem alot of work, but the reuslt is excellent.
from srgan-tensorflow.
SmezMorePrakezz
commented on June 1, 2024
Thank you very much. So I have no choice but to split images into little pieces.
from srgan-tensorflow.
ABDOELSHEMY
commented on June 1, 2024
Unfortunately yes for now, hopefully we can get rid form that in some point in the future.
from srgan-tensorflow.
Related Issues (20)
- Issue with perceptual loss HOT 1
- Successfully ran test mode in MacOS, where to put Instructions? HOT 2
- License HOT 1
- Max input resolution? HOT 2
- can't find varibles in checkpoint
- 2x resolution instead of 4x HOT 1
- ParametricRelU after pixelshuffler HOT 2
- The graph couldn't be sorted in topological order
- i had some headache,for help -_- HOT 3
- Did you use the pretrained VGG model in getting percetual loss?
- Training
- VGG input
- When I want to input by using GRAY SCALE data...
- Black images HOT 3
- Keep getting a tensorflow.python.framework.errors_impl.InvalidArgumentError
- scale generator network output to [-1, 1] HOT 1
- Missing requirements HOT 1
- Set the upscaling factor
- why the content_loss and adversarial_loss keep increasing with the training? HOT 2
- run error HOT 1
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from srgan-tensorflow.