Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hello, I Am Using Clearml In Docker Mode. I Have A Simple Script That Runs Locally, Runs On The Target Machine Running The Same Tensorflow Container, But Doesn'T Run When I Deploy It Using Clearml. Here'S The Log Of The Error:


Just adding this here for easier readability
ClearML results page: https:/xxxxt/projects/xxx/experimentsxxx 2022-11-21 11:02:07.590338: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-11-21 11:02:07.733169: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variableTF_ENABLE_ONEDNN_OPTS=0. Traceback (most recent call last): File "train_tf/keras_mnist.py", line 8, in <module> import keras File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 54, in __patched_import3 mod = builtins.__org_import__( File "/usr/local/lib/python3.8/dist-packages/keras/__init__.py", line 21, in <module> from keras import models File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 54, in __patched_import3 mod = builtins.__org_import__( File "/usr/local/lib/python3.8/dist-packages/keras/models/__init__.py", line 18, in <module> from keras.engine.functional import Functional File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 54, in __patched_import3 mod = builtins.__org_import__( File "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py", line 24, in <module> import tensorflow.compat.v2 as tf File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 62, in __patched_import3 hook() File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/frameworks/tensorflow_bind.py", line 1585, in _patch_model_checkpoint from keras.engine.sequential import Sequential # noqa File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 54, in __patched_import3 mod = builtins.__org_import__( File "/usr/local/lib/python3.8/dist-packages/keras/engine/sequential.py", line 49, in <module> class Sequential(functional.Functional): AttributeError: partially initialized module 'keras.engine.functional' has no attribute 'Functional' (most likely due to a circular import)

  
  
Posted 2 years ago
194 Views
0 Answers
2 years ago
one year ago
Tags
tf