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andrewljohnson avatar andrewljohnson commented on August 23, 2024

Is this an error or just a warning?

And is this when running using a GPU or without a GPU?

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sahil210695 avatar sahil210695 commented on August 23, 2024

After this the training stopped, so I'll take that as error.
This while running without the GPU on MacBook pro with macOS Sierra.

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jmontrose avatar jmontrose commented on August 23, 2024

Maybe just need to update tflearn? This looks fixed upstream: tflearn/tflearn#523

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sahil210695 avatar sahil210695 commented on August 23, 2024

@jmontrose @andrewljohnson can you explain a bit more ?
because the in the docker version of the tensorflow is 0.8

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jmontrose avatar jmontrose commented on August 23, 2024

@sahil210695 are you pointing out that the issue in tflearn#523 seems to be coming from tf 0.12.0 compatibility? That's a good point. I found that issue trying to track down the source of the message itself (meaning to dump a stack trace)
I'll keep looking, and if you have any ideas I can help test, send them over!
Oh, and although I do get the same error reported by @andrewljohnson , I do see that I have model pickles after the failure, so it might not be completely fatal:

root@d6578b22ecc5:/DeepOSM# ls -lha data/generated/
total 8.2M
drwxr-xr-x    11 root root  374 Feb 20 00:08 .
drwxr-xr-x     5 root root  170 Feb 19 22:37 ..
-rw-r--r--     1 root root  129 Feb 20 00:08 checkpoint
-rw-r--r--     1 root root 8.1M Feb 20 00:08 model.pickle
-rw-r--r--     1 root root 178K Feb 20 00:08 model.pickle.meta
-rw-r--r--     1 root root  105 Feb 20 00:08 model_metadata.pickle
-rw-r--r--     1 root root  384 Feb 19 22:44 raster_data_paths.pickle
drwxr-xr-x 55252 root root 1.8M Feb 19 22:55 training_images
drwxr-xr-x 55252 root root 1.8M Feb 19 22:55 training_labels
-rw-r--r--     1 root root   88 Feb 19 22:55 training_metadata.pickle
drwxr-xr-x     4 root root  136 Feb 19 22:37 way_bitmaps

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sahil210695 avatar sahil210695 commented on August 23, 2024

But I'm not getting it.
I'm stuck there only and results are not also generated after that also.
are you able to get the results @jmontrose
previously docker came with tensorflow version 0.8.0, now I've upgraded it to version 0.10 and TFLearn is 0.1
and this is mine
drwxr-xr-x 12 sahilkumar staff 408B Feb 20 21:34 .
drwxr-xr-x 6 sahilkumar staff 204B Feb 12 22:20 ..
-rw-r--r--@ 1 sahilkumar staff 8.0K Feb 20 12:18 .DS_Store
-rw-r--r-- 1 sahilkumar staff 129B Feb 20 21:34 checkpoint
-rw-r--r-- 1 sahilkumar staff 8.0M Feb 20 21:34 model.pickle
-rw-r--r-- 1 sahilkumar staff 177K Feb 20 21:34 model.pickle.meta
-rw-r--r-- 1 sahilkumar staff 105B Feb 20 21:34 model_metadata.pickle
-rw-r--r-- 1 sahilkumar staff 384B Feb 12 22:26 raster_data_paths.pickle
drwxr-xr-x 55252 sahilkumar staff 1.8M Feb 12 22:36 training_images
drwxr-xr-x 55252 sahilkumar staff 1.8M Feb 12 22:36 training_labels
-rw-r--r-- 1 sahilkumar staff 88B Feb 12 22:36 training_metadata.pickle
drwxr-xr-x 5 sahilkumar staff 170B Feb 12 22:32 way_bitmaps

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sahil210695 avatar sahil210695 commented on August 23, 2024

@andrewljohnson I'm not getting the output except these warnings. could you please tell me how to check for output ???

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jmontrose avatar jmontrose commented on August 23, 2024

Here is my data/way_bitmaps dir. Looks like it's failing before it renders the jpegs?

bash-3.2$ find way_bitmaps/
way_bitmaps/
way_bitmaps//38075
way_bitmaps//38075/m_3807503_ne_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//38075/m_3807503_nw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//38075/m_3807503_se_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//38075/m_3807503_sw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//38075/m_3807504_ne_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//38075/m_3807504_nw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps//39075

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sahil210695 avatar sahil210695 commented on August 23, 2024

@jmontrose
Here is my data/way_bitmaps dir.

root@4881763ee755:/DeepOSM/data/generated# find way_bitmaps/
way_bitmaps/
way_bitmaps/.DS_Store
way_bitmaps/38075
way_bitmaps/38075/m_3807503_ne_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/38075/m_3807503_nw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/38075/m_3807503_se_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/38075/m_3807503_sw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/38075/m_3807504_ne_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/38075/m_3807504_nw_18_1_20130907.tif-ways.bitmap.npy
way_bitmaps/39075

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andrewjavao avatar andrewjavao commented on August 23, 2024

I met this issue also, ran the container on Linux CentOS 7, no GPU.
Since I'm new to tflearn and tensorFlow, so I have no clue about this, so any process for you guys?
I'm looking into python code here for more information myself, it seems like some data format and library version compatiblity issue to me, but no not quite sure if this is the right direction.

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sahil210695 avatar sahil210695 commented on August 23, 2024

@andrewjavao No success till now.
I am also looking into the python code and let's see where we can get.
It's issue with TFLearn with tensorflow.

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andrewjavao avatar andrewjavao commented on August 23, 2024

@andrewljohnson We've been stuck in this issue for weeks, have u somehow figure it out?

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andrewljohnson avatar andrewljohnson commented on August 23, 2024

I think this should be fixed, but it's just a warning.

The more relevant error is #79

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