Hi everyone,
\nI have used u2net for segmentation
\nI used OpenCV to convert the output mask to instance masks
\nhere is the code I used for prediction
image_names, pred_annots = [],[]
\nfor s in sub['id']:
\n img_name, prd=[],[]
\n image = load_img(os.path.join(test_fol, s)+'.png')
\n img = image.resize((256,256))
\n img = img_to_array(img)#.astype(np.int8)
\n img = np.expand_dims(img,axis=0)
\n results = model.predict(img)
\n results = np.squeeze(results)
\n frame= binarize(results[1,:,:], threshold = 0.5)
\n frame1 = np.reshape(frame,(256, 256))
\n frame2 = cv2.resize(frame1, (704,520), interpolation = cv2.INTER_AREA)
\n # plt.imshow(frame2)
\n frame3=post_process(frame2)
\n frame4=np.stack((frame3),axis=-1)
\n #print(frame3.shape)
\n if frame4.shape[-1]==0:
\n img_name.append(s)
\n prd.append('')
\n else:
\n if check_overlap(frame4): # if mask instances have overlap then fix it
\n print(\"Overlap Found!\")
\n frame4 = fix_overlap(frame4)
\n for r in range(frame4.shape[2]):
\n pred_mask = frame4[:, :, r]
\n pred_mask = pred_mask.astype(np.uint8)
img_name.append(s)\n prd.append(rle_encode(pred_mask))\n\nimage_names.extend(img_name)\npred_annots.extend(prd)\nassert len(os.listdir('../input/sartorius-cell-instance-segmentation/test'))==len(np.unique(image_names))
\npd.DataFrame({'id':image_names, 'predicted':pred_annots}).sort_values(['id']).to_csv('submission.csv', index=False)
\npd.read_csv('submission.csv').head(20)
My output masks are pretty good but every time I make a submission, I get error (Notebook threw exception)
\nI have wasted many and many submissions
\nI hope anyone here can help me
\nIs it a memory problem????
\nThe notebook runs without errors but when running it to get the score, I got an error
Hi everyone,
\nI have used u2net for segmentation
\nI used OpenCV to convert the output mask to instance masks
\nhere is the code I used for prediction
image_names, pred_annots = [],[]
\nfor s in sub['id']:
\n img_name, prd=[],[]
\n image = load_img(os.path.join(test_fol, s)+'.png')
\n img = image.resize((256,256))
\n img = img_to_array(img)#.astype(np.int8)
\n img = np.expand_dims(img,axis=0)
\n results = model.predict(img)
\n results = np.squeeze(results)
\n frame= binarize(results[1,:,:], threshold = 0.5)
\n frame1 = np.reshape(frame,(256, 256))
\n frame2 = cv2.resize(frame1, (704,520), interpolation = cv2.INTER_AREA)
\n # plt.imshow(frame2)
\n frame3=post_process(frame2)
\n frame4=np.stack((frame3),axis=-1)
\n #print(frame3.shape)
\n if frame4.shape[-1]==0:
\n img_name.append(s)
\n prd.append('')
\n else:
\n if check_overlap(frame4): # if mask instances have overlap then fix it
\n print(\"Overlap Found!\")
\n frame4 = fix_overlap(frame4)
\n for r in range(frame4.shape[2]):
\n pred_mask = frame4[:, :, r]
\n pred_mask = pred_mask.astype(np.uint8)
img_name.append(s)\n prd.append(rle_encode(pred_mask))\n\nimage_names.extend(img_name)\npred_annots.extend(prd)\nassert len(os.listdir('../input/sartorius-cell-instance-segmentation/test'))==len(np.unique(image_names))
\npd.DataFrame({'id':image_names, 'predicted':pred_annots}).sort_values(['id']).to_csv('submission.csv', index=False)
\npd.read_csv('submission.csv').head(20)
My output masks are pretty good but every time I make a submission, I get error (Notebook threw exception)
\nI have wasted many and many submissions
\nI hope anyone here can help me
\nIs it a memory problem????
\nThe notebook runs without errors but when running it to get the score, I got an error
Successfully ran in 46.8s
\nAccelerator
\nNone
\nEnvironment
\nLatest Container Image
\nOutput
\n88.12 kB
\nTime
\n#
\nLog Message
\n13.7s 1 /opt/conda/lib/python3.7/site-packages/papermill/iorw.py:50: FutureWarning: pyarrow.HadoopFileSystem is deprecated as of 2.0.0, please use pyarrow.fs.HadoopFileSystem instead.
\n13.7s 2 from pyarrow import HadoopFileSystem
\n21.7s 3
\n21.7s 4 User settings:
\n21.7s 5
\n21.7s 6 KMP_AFFINITY=granularity=fine,verbose,compact,1,0
\n21.7s 7 KMP_BLOCKTIME=0
\n21.7s 8 KMP_DUPLICATE_LIB_OK=True
\n21.7s 9 KMP_INIT_AT_FORK=FALSE
\n21.7s 10 KMP_SETTINGS=1
\n21.7s 11 KMP_WARNINGS=0
\n21.7s 12
\n21.7s 13 Effective settings:
\n21.7s 14
\n21.7s 15 KMP_ABORT_DELAY=0
\n21.7s 16 KMP_ADAPTIVE_LOCK_PROPS='1,1024'
\n21.7s 17 KMP_ALIGN_ALLOC=64
\n21.7s 18 KMP_ALL_THREADPRIVATE=128
\n21.7s 19 KMP_ATOMIC_MODE=2
\n21.7s 20 KMP_BLOCKTIME=0
\n21.7s 21 KMP_CPUINFO_FILE: value is not defined
\n21.7s 22 KMP_DETERMINISTIC_REDUCTION=false
\n21.7s 23 KMP_DEVICE_THREAD_LIMIT=2147483647
\n21.7s 24 KMP_DISP_NUM_BUFFERS=7
\n21.7s 25 KMP_DUPLICATE_LIB_OK=true
\n21.7s 26 KMP_ENABLE_TASK_THROTTLING=true
\n21.7s 27 KMP_FORCE_REDUCTION: value is not defined
\n21.7s 28 KMP_FOREIGN_THREADS_THREADPRIVATE=true
\n21.7s 29 KMP_FORKJOIN_BARRIER='2,2'
\n21.7s 30 KMP_FORKJOIN_BARRIER_PATTERN='hyper,hyper'
\n21.7s 31 KMP_GTID_MODE=3
\n21.7s 32 KMP_HANDLE_SIGNALS=false
\n21.7s 33 KMP_HOT_TEAMS_MAX_LEVEL=1
\n21.7s 34 KMP_HOT_TEAMS_MODE=0
\n21.7s 35 KMP_INIT_AT_FORK=true
\n21.7s 36 KMP_LIBRARY=throughput
\n21.7s 37 KMP_LOCK_KIND=queuing
\n21.7s 38 KMP_MALLOC_POOL_INCR=1M
\n21.7s 39 KMP_NUM_LOCKS_IN_BLOCK=1
\n21.7s 40 KMP_PLAIN_BARRIER='2,2'
\n21.7s 41 KMP_PLAIN_BARRIER_PATTERN='hyper,hyper'
\n21.7s 42 KMP_REDUCTION_BARRIER='1,1'
\n21.7s 43 KMP_REDUCTION_BARRIER_PATTERN='hyper,hyper'
\n21.7s 44 KMP_SCHEDULE='static,balanced;guided,iterative'
\n21.7s 45 KMP_SETTINGS=true
\n21.7s 46 KMP_SPIN_BACKOFF_PARAMS='4096,100'
\n21.7s 47 KMP_STACKOFFSET=64
\n21.7s 48 KMP_STACKPAD=0
\n21.7s 49 KMP_STACKSIZE=8M
\n21.7s 50 KMP_STORAGE_MAP=false
\n21.7s 51 KMP_TASKING=2
\n21.7s 52 KMP_TASKLOOP_MIN_TASKS=0
\n21.7s 53 KMP_TASK_STEALING_CONSTRAINT=1
\n21.7s 54 KMP_TEAMS_THREAD_LIMIT=4
\n21.7s 55 KMP_TOPOLOGY_METHOD=all
\n21.7s 56 KMP_USE_YIELD=1
\n21.7s 57 KMP_VERSION=false
\n21.7s 58 KMP_WARNINGS=false
\n21.7s 59 OMP_AFFINITY_FORMAT='OMP: pid %P tid %i thread %n bound to OS proc set {%A}'
\n21.7s 60 OMP_ALLOCATOR=omp_default_mem_alloc
\n21.7s 61 OMP_CANCELLATION=false
\n21.7s 62 OMP_DEFAULT_DEVICE=0
\n21.7s 63 OMP_DISPLAY_AFFINITY=false
\n21.7s 64 OMP_DISPLAY_ENV=false
\n21.7s 65 OMP_DYNAMIC=false
\n21.7s 66 OMP_MAX_ACTIVE_LEVELS=1
\n21.7s 67 OMP_MAX_TASK_PRIORITY=0
\n21.7s 68 OMP_NESTED: deprecated; max-active-levels-var=1
\n21.7s 69 OMP_NUM_THREADS: value is not defined
\n21.7s 70 OMP_PLACES: value is not defined
\n21.7s 71 OMP_PROC_BIND='intel'
\n21.7s 72 OMP_SCHEDULE='static'
\n21.7s 73 OMP_STACKSIZE=8M
\n21.7s 74 OMP_TARGET_OFFLOAD=DEFAULT
\n21.7s 75 OMP_THREAD_LIMIT=2147483647
\n21.7s 76 OMP_WAIT_POLICY=PASSIVE
\n21.7s 77 KMP_AFFINITY='verbose,warnings,respect,granularity=fine,compact,1,0'
\n21.7s 78
\n21.7s 79 2021-12-03 20:12:48.991474: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
\n21.9s 80
\n21.9s 81 User settings:
\n21.9s 82
\n21.9s 83 KMP_AFFINITY=granularity=fine,verbose,compact,1,0
\n21.9s 84 KMP_BLOCKTIME=0
\n21.9s 85 KMP_DUPLICATE_LIB_OK=True
\n21.9s 86 KMP_INIT_AT_FORK=FALSE
\n21.9s 87 KMP_SETTINGS=1
\n21.9s 88 KMP_WARNINGS=0
\n21.9s 89
\n21.9s 90 Effective settings:
\n21.9s 91
\n21.9s 92 KMP_ABORT_DELAY=0
\n21.9s 93 KMP_ADAPTIVE_LOCK_PROPS='1,1024'
\n21.9s 94 KMP_ALIGN_ALLOC=64
\n21.9s 95 KMP_ALL_THREADPRIVATE=128
\n21.9s 96 KMP_ATOMIC_MODE=2
\n21.9s 97 KMP_BLOCKTIME=0
\n21.9s 98 KMP_CPUINFO_FILE: value is not defined
\n21.9s 99 KMP_DETERMINISTIC_REDUCTION=false
\n21.9s 100 KMP_DEVICE_THREAD_LIMIT=2147483647
\n21.9s 101 KMP_DISP_NUM_BUFFERS=7
\n21.9s 102 KMP_DUPLICATE_LIB_OK=true
\n21.9s 103 KMP_ENABLE_TASK_THROTTLING=true
\n21.9s 104 KMP_FORCE_REDUCTION: value is not defined
\n21.9s 105 KMP_FOREIGN_THREADS_THREADPRIVATE=true
\n21.9s 106 KMP_FORKJOIN_BARRIER='2,2'
\n21.9s 107 KMP_FORKJOIN_BARRIER_PATTERN='hyper,hyper'
\n21.9s 108 KMP_GTID_MODE=3
\n21.9s 109 KMP_HANDLE_SIGNALS=false
\n21.9s 110 KMP_HOT_TEAMS_MAX_LEVEL=1
\n21.9s 111 KMP_HOT_TEAMS_MODE=0
\n21.9s 112 KMP_INIT_AT_FORK=true
\n21.9s 113 KMP_LIBRARY=throughput
\n21.9s 114 KMP_LOCK_KIND=queuing
\n21.9s 115 KMP_MALLOC_POOL_INCR=1M
\n21.9s 116 KMP_NUM_LOCKS_IN_BLOCK=1
\n21.9s 117 KMP_PLAIN_BARRIER='2,2'
\n21.9s 118 KMP_PLAIN_BARRIER_PATTERN='hyper,hyper'
\n21.9s 119 KMP_REDUCTION_BARRIER='1,1'
\n21.9s 120 KMP_REDUCTION_BARRIER_PATTERN='hyper,hyper'
\n21.9s 121 KMP_SCHEDULE='static,balanced;guided,iterative'
\n21.9s 122 KMP_SETTINGS=true
\n21.9s 123 KMP_SPIN_BACKOFF_PARAMS='4096,100'
\n21.9s 124 KMP_STACKOFFSET=64
\n21.9s 125 KMP_STACKPAD=0
\n21.9s 126 KMP_STACKSIZE=8M
\n21.9s 127 KMP_STORAGE_MAP=false
\n21.9s 128 KMP_TASKING=2
\n21.9s 129 KMP_TASKLOOP_MIN_TASKS=0
\n21.9s 130 KMP_TASK_STEALING_CONSTRAINT=1
\n21.9s 131 KMP_TEAMS_THREAD_LIMIT=4
\n21.9s 132 KMP_TOPOLOGY_METHOD=all
\n21.9s 133 KMP_USE_YIELD=1
\n21.9s 134 KMP_VERSION=false
\n21.9s 135 KMP_WARNINGS=false
\n21.9s 136 OMP_AFFINITY_FORMAT='OMP: pid %P tid %i thread %n bound to OS proc set {%A}'
\n21.9s 137 OMP_ALLOCATOR=omp_default_mem_alloc
\n21.9s 138 OMP_CANCELLATION=false
\n21.9s 139 OMP_DEFAULT_DEVICE=0
\n21.9s 140 OMP_DISPLAY_AFFINITY=false
\n21.9s 141 OMP_DISPLAY_ENV=false
\n21.9s 142 OMP_DYNAMIC=false
\n21.9s 143 OMP_MAX_ACTIVE_LEVELS=1
\n21.9s 144 OMP_MAX_TASK_PRIORITY=0
\n21.9s 145 OMP_NESTED: deprecated; max-active-levels-var=1
\n21.9s 146 OMP_NUM_THREADS: value is not defined
\n21.9s 147 OMP_PLACES: value is not defined
\n21.9s 148 OMP_PROC_BIND='intel'
\n21.9s 149 OMP_SCHEDULE='static'
\n21.9s 150 OMP_STACKSIZE=8M
\n21.9s 151 OMP_TARGET_OFFLOAD=DEFAULT
\n21.9s 152 OMP_THREAD_LIMIT=2147483647
\n21.9s 153 OMP_WAIT_POLICY=PASSIVE
\n21.9s 154 KMP_AFFINITY='verbose,warnings,respect,granularity=fine,compact,1,0'
\n21.9s 155
\n21.9s 156 2021-12-03 20:12:48.991474: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
\n29.6s 157 2021-12-03 20:12:56.881931: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
\n29.8s 158 2021-12-03 20:12:56.881931: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
\n34.2s 159 99
\n35.8s 160 37
\n36.5s 161 36
\n43.0s 162 /opt/conda/lib/python3.7/site-packages/traitlets/traitlets.py:2567: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n43.0s 163 FutureWarning,
\n43.0s 164 [NbConvertApp] Converting notebook notebook.ipynb to notebook
\n43.1s 165 [NbConvertApp] Writing 18672 bytes to notebook.ipynb
\n45.7s 166 /opt/conda/lib/python3.7/site-packages/traitlets/traitlets.py:2567: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n45.7s 167 FutureWarning,
\n45.7s 168 [NbConvertApp] Converting notebook notebook.ipynb to html
\n46.6s 169 [NbConvertApp] Writing 303418 bytes to results.html
@awsaf49 ,could you kindly help me with this issue?
", "rawMarkdown": "awsaf49 ,could you kindly help me with this issue?", "votes": null }, { "id": "1605440", "postDate": "12/04/2021 08:16:25", "content": "I have published a notebook with my version of the submission scoring error correction. see if it can help you.
\nit is called: submission scoring error fix
Successfully ran in 46.8s
\nAccelerator
\nNone
\nEnvironment
\nLatest Container Image
\nOutput
\n88.12 kB
\nTime
\n#
\nLog Message
\n13.7s 1 /opt/conda/lib/python3.7/site-packages/papermill/iorw.py:50: FutureWarning: pyarrow.HadoopFileSystem is deprecated as of 2.0.0, please use pyarrow.fs.HadoopFileSystem instead.
\n13.7s 2 from pyarrow import HadoopFileSystem
\n21.7s 3
\n21.7s 4 User settings:
\n21.7s 5
\n21.7s 6 KMP_AFFINITY=granularity=fine,verbose,compact,1,0
\n21.7s 7 KMP_BLOCKTIME=0
\n21.7s 8 KMP_DUPLICATE_LIB_OK=True
\n21.7s 9 KMP_INIT_AT_FORK=FALSE
\n21.7s 10 KMP_SETTINGS=1
\n21.7s 11 KMP_WARNINGS=0
\n21.7s 12
\n21.7s 13 Effective settings:
\n21.7s 14
\n21.7s 15 KMP_ABORT_DELAY=0
\n21.7s 16 KMP_ADAPTIVE_LOCK_PROPS='1,1024'
\n21.7s 17 KMP_ALIGN_ALLOC=64
\n21.7s 18 KMP_ALL_THREADPRIVATE=128
\n21.7s 19 KMP_ATOMIC_MODE=2
\n21.7s 20 KMP_BLOCKTIME=0
\n21.7s 21 KMP_CPUINFO_FILE: value is not defined
\n21.7s 22 KMP_DETERMINISTIC_REDUCTION=false
\n21.7s 23 KMP_DEVICE_THREAD_LIMIT=2147483647
\n21.7s 24 KMP_DISP_NUM_BUFFERS=7
\n21.7s 25 KMP_DUPLICATE_LIB_OK=true
\n21.7s 26 KMP_ENABLE_TASK_THROTTLING=true
\n21.7s 27 KMP_FORCE_REDUCTION: value is not defined
\n21.7s 28 KMP_FOREIGN_THREADS_THREADPRIVATE=true
\n21.7s 29 KMP_FORKJOIN_BARRIER='2,2'
\n21.7s 30 KMP_FORKJOIN_BARRIER_PATTERN='hyper,hyper'
\n21.7s 31 KMP_GTID_MODE=3
\n21.7s 32 KMP_HANDLE_SIGNALS=false
\n21.7s 33 KMP_HOT_TEAMS_MAX_LEVEL=1
\n21.7s 34 KMP_HOT_TEAMS_MODE=0
\n21.7s 35 KMP_INIT_AT_FORK=true
\n21.7s 36 KMP_LIBRARY=throughput
\n21.7s 37 KMP_LOCK_KIND=queuing
\n21.7s 38 KMP_MALLOC_POOL_INCR=1M
\n21.7s 39 KMP_NUM_LOCKS_IN_BLOCK=1
\n21.7s 40 KMP_PLAIN_BARRIER='2,2'
\n21.7s 41 KMP_PLAIN_BARRIER_PATTERN='hyper,hyper'
\n21.7s 42 KMP_REDUCTION_BARRIER='1,1'
\n21.7s 43 KMP_REDUCTION_BARRIER_PATTERN='hyper,hyper'
\n21.7s 44 KMP_SCHEDULE='static,balanced;guided,iterative'
\n21.7s 45 KMP_SETTINGS=true
\n21.7s 46 KMP_SPIN_BACKOFF_PARAMS='4096,100'
\n21.7s 47 KMP_STACKOFFSET=64
\n21.7s 48 KMP_STACKPAD=0
\n21.7s 49 KMP_STACKSIZE=8M
\n21.7s 50 KMP_STORAGE_MAP=false
\n21.7s 51 KMP_TASKING=2
\n21.7s 52 KMP_TASKLOOP_MIN_TASKS=0
\n21.7s 53 KMP_TASK_STEALING_CONSTRAINT=1
\n21.7s 54 KMP_TEAMS_THREAD_LIMIT=4
\n21.7s 55 KMP_TOPOLOGY_METHOD=all
\n21.7s 56 KMP_USE_YIELD=1
\n21.7s 57 KMP_VERSION=false
\n21.7s 58 KMP_WARNINGS=false
\n21.7s 59 OMP_AFFINITY_FORMAT='OMP: pid %P tid %i thread %n bound to OS proc set {%A}'
\n21.7s 60 OMP_ALLOCATOR=omp_default_mem_alloc
\n21.7s 61 OMP_CANCELLATION=false
\n21.7s 62 OMP_DEFAULT_DEVICE=0
\n21.7s 63 OMP_DISPLAY_AFFINITY=false
\n21.7s 64 OMP_DISPLAY_ENV=false
\n21.7s 65 OMP_DYNAMIC=false
\n21.7s 66 OMP_MAX_ACTIVE_LEVELS=1
\n21.7s 67 OMP_MAX_TASK_PRIORITY=0
\n21.7s 68 OMP_NESTED: deprecated; max-active-levels-var=1
\n21.7s 69 OMP_NUM_THREADS: value is not defined
\n21.7s 70 OMP_PLACES: value is not defined
\n21.7s 71 OMP_PROC_BIND='intel'
\n21.7s 72 OMP_SCHEDULE='static'
\n21.7s 73 OMP_STACKSIZE=8M
\n21.7s 74 OMP_TARGET_OFFLOAD=DEFAULT
\n21.7s 75 OMP_THREAD_LIMIT=2147483647
\n21.7s 76 OMP_WAIT_POLICY=PASSIVE
\n21.7s 77 KMP_AFFINITY='verbose,warnings,respect,granularity=fine,compact,1,0'
\n21.7s 78
\n21.7s 79 2021-12-03 20:12:48.991474: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
\n21.9s 80
\n21.9s 81 User settings:
\n21.9s 82
\n21.9s 83 KMP_AFFINITY=granularity=fine,verbose,compact,1,0
\n21.9s 84 KMP_BLOCKTIME=0
\n21.9s 85 KMP_DUPLICATE_LIB_OK=True
\n21.9s 86 KMP_INIT_AT_FORK=FALSE
\n21.9s 87 KMP_SETTINGS=1
\n21.9s 88 KMP_WARNINGS=0
\n21.9s 89
\n21.9s 90 Effective settings:
\n21.9s 91
\n21.9s 92 KMP_ABORT_DELAY=0
\n21.9s 93 KMP_ADAPTIVE_LOCK_PROPS='1,1024'
\n21.9s 94 KMP_ALIGN_ALLOC=64
\n21.9s 95 KMP_ALL_THREADPRIVATE=128
\n21.9s 96 KMP_ATOMIC_MODE=2
\n21.9s 97 KMP_BLOCKTIME=0
\n21.9s 98 KMP_CPUINFO_FILE: value is not defined
\n21.9s 99 KMP_DETERMINISTIC_REDUCTION=false
\n21.9s 100 KMP_DEVICE_THREAD_LIMIT=2147483647
\n21.9s 101 KMP_DISP_NUM_BUFFERS=7
\n21.9s 102 KMP_DUPLICATE_LIB_OK=true
\n21.9s 103 KMP_ENABLE_TASK_THROTTLING=true
\n21.9s 104 KMP_FORCE_REDUCTION: value is not defined
\n21.9s 105 KMP_FOREIGN_THREADS_THREADPRIVATE=true
\n21.9s 106 KMP_FORKJOIN_BARRIER='2,2'
\n21.9s 107 KMP_FORKJOIN_BARRIER_PATTERN='hyper,hyper'
\n21.9s 108 KMP_GTID_MODE=3
\n21.9s 109 KMP_HANDLE_SIGNALS=false
\n21.9s 110 KMP_HOT_TEAMS_MAX_LEVEL=1
\n21.9s 111 KMP_HOT_TEAMS_MODE=0
\n21.9s 112 KMP_INIT_AT_FORK=true
\n21.9s 113 KMP_LIBRARY=throughput
\n21.9s 114 KMP_LOCK_KIND=queuing
\n21.9s 115 KMP_MALLOC_POOL_INCR=1M
\n21.9s 116 KMP_NUM_LOCKS_IN_BLOCK=1
\n21.9s 117 KMP_PLAIN_BARRIER='2,2'
\n21.9s 118 KMP_PLAIN_BARRIER_PATTERN='hyper,hyper'
\n21.9s 119 KMP_REDUCTION_BARRIER='1,1'
\n21.9s 120 KMP_REDUCTION_BARRIER_PATTERN='hyper,hyper'
\n21.9s 121 KMP_SCHEDULE='static,balanced;guided,iterative'
\n21.9s 122 KMP_SETTINGS=true
\n21.9s 123 KMP_SPIN_BACKOFF_PARAMS='4096,100'
\n21.9s 124 KMP_STACKOFFSET=64
\n21.9s 125 KMP_STACKPAD=0
\n21.9s 126 KMP_STACKSIZE=8M
\n21.9s 127 KMP_STORAGE_MAP=false
\n21.9s 128 KMP_TASKING=2
\n21.9s 129 KMP_TASKLOOP_MIN_TASKS=0
\n21.9s 130 KMP_TASK_STEALING_CONSTRAINT=1
\n21.9s 131 KMP_TEAMS_THREAD_LIMIT=4
\n21.9s 132 KMP_TOPOLOGY_METHOD=all
\n21.9s 133 KMP_USE_YIELD=1
\n21.9s 134 KMP_VERSION=false
\n21.9s 135 KMP_WARNINGS=false
\n21.9s 136 OMP_AFFINITY_FORMAT='OMP: pid %P tid %i thread %n bound to OS proc set {%A}'
\n21.9s 137 OMP_ALLOCATOR=omp_default_mem_alloc
\n21.9s 138 OMP_CANCELLATION=false
\n21.9s 139 OMP_DEFAULT_DEVICE=0
\n21.9s 140 OMP_DISPLAY_AFFINITY=false
\n21.9s 141 OMP_DISPLAY_ENV=false
\n21.9s 142 OMP_DYNAMIC=false
\n21.9s 143 OMP_MAX_ACTIVE_LEVELS=1
\n21.9s 144 OMP_MAX_TASK_PRIORITY=0
\n21.9s 145 OMP_NESTED: deprecated; max-active-levels-var=1
\n21.9s 146 OMP_NUM_THREADS: value is not defined
\n21.9s 147 OMP_PLACES: value is not defined
\n21.9s 148 OMP_PROC_BIND='intel'
\n21.9s 149 OMP_SCHEDULE='static'
\n21.9s 150 OMP_STACKSIZE=8M
\n21.9s 151 OMP_TARGET_OFFLOAD=DEFAULT
\n21.9s 152 OMP_THREAD_LIMIT=2147483647
\n21.9s 153 OMP_WAIT_POLICY=PASSIVE
\n21.9s 154 KMP_AFFINITY='verbose,warnings,respect,granularity=fine,compact,1,0'
\n21.9s 155
\n21.9s 156 2021-12-03 20:12:48.991474: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
\n29.6s 157 2021-12-03 20:12:56.881931: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
\n29.8s 158 2021-12-03 20:12:56.881931: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
\n34.2s 159 99
\n35.8s 160 37
\n36.5s 161 36
\n43.0s 162 /opt/conda/lib/python3.7/site-packages/traitlets/traitlets.py:2567: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n43.0s 163 FutureWarning,
\n43.0s 164 [NbConvertApp] Converting notebook notebook.ipynb to notebook
\n43.1s 165 [NbConvertApp] Writing 18672 bytes to notebook.ipynb
\n45.7s 166 /opt/conda/lib/python3.7/site-packages/traitlets/traitlets.py:2567: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n45.7s 167 FutureWarning,
\n45.7s 168 [NbConvertApp] Converting notebook notebook.ipynb to html
\n46.6s 169 [NbConvertApp] Writing 303418 bytes to results.html
@awsaf49 ,could you kindly help me with this issue?
", "votes": null, "replies": [] }, { "id": 1605440, "author_name": "zaakciiru", "author_url": "", "post_date": "12/04/2021 08:16:25", "content": "I have published a notebook with my version of the submission scoring error correction. see if it can help you.
\nit is called: submission scoring error fix