René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Import time of the library is high","articleBody":"The import time of the library seems to be very high.\n\n### Steps to reproduce:\n\n#### Import times with only feast installed\nCreate a fresh virtual environment and install feast.\nRun the following python module.\n```\nfrom time import perf_counter\nnow=perf_counter()\nimport feast\nprint(perf_counter()-now)\n```\n**Result:** The printed run time in my case was 2.710442792000322. Already pretty high for an import of a library.\nAdditionally I get a warning,\n`None of PyTorch, TensorFlow \u003e= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.`\n\n#### Import times after adding TF\nInstall tensorflow lib.\nRun the script again. \n\n**Result:** Took ~3.1 seconds. Warning no longer being printed.\n\n#### Import times after adding PyTorch\nInstall  pytorch (torch).\nRan the script again. \n\n**Result:** The run time went up to ~15 seconds.\nAdditionally, new warning is now being printed.\n```\n2025-07-23 13:36:02.068516: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1753270562.131461   66853 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1753270562.152065   66853 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\nW0000 00:00:1753270562.278959   66853 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1753270562.278987   66853 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1753270562.278991   66853 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1753270562.278995   66853 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n2025-07-23 13:36:02.293151: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n```","author":{"url":"https://github.com/OptimeeringBigya","@type":"Person","name":"OptimeeringBigya"},"datePublished":"2025-07-25T08:48:26.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/23/feast-workshop/issues/23"}