Row 7153

Row ID: 7153 | Dataset Entry | Axioma AXP Content Repository

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❯ python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" 2024-05-15 15:08:02.312933: I tensorflow/core/util/port.cc:113] 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 variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-05-15 15:08:02.348419: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-05-15 15:08:02.978770: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2024-05-15 15:08:04.455323: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:282] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error 2024-05-15 15:08:04.455348: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:134] retrieving CUDA diagnostic information for host: sagnik-lenovo 2024-05-15 15:08:04.455353: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:141] hostname: sagnik-lenovo 2024-05-15 15:08:04.455440: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:165] libcuda reported version is: 545.29.6 2024-05-15 15:08:04.455452: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:169] kernel reported version is: 545.29.6 2024-05-15 15:08:04.455455: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:248] kernel version seems to match DSO: 545.29.6 []

I got this. Evidently, tensorflow is not detecting my GPU

FieldValue
text ❯ python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" 2024-05-15 15:08:02.312933: I tensorflow/core/util/port.cc:113] 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 variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-05-15 15:08:02.348419: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optim…
label r/tensorflow
dataType comment
communityName r/tensorflow
datetime 2024-05-15
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url_encoded Z0FBQUFBQm5Lak9HSEJXVU5DLVE5ODc0U0RKSVVIVEhFTmY1bTFzNEhQUUhRaDAzZEFCYjRmb2VvZlNHdHAyZ2tsZ3VqUEttV3o4V2hBbGViNEMtZ1ROVTlRclVCLXEybWwySFJaa2VIMDJ1MmY3SjF6NFJWbGtHd05QX0l4SDBZcTBlblo5N2FRek5rR3FGTEtXTkFxNEdtdkZxN3RRd3c0eVJpZVRVbzd0WC1mdl9adEJ2Yk9kaGREV0I2UXlYWUNWNURTeXRuTFZ0akRHV2prQjFKd2xIcWNpVEFRUWlHUT09

Raw Record

{
  "text": "    ❯ python3 -c \"import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))\"\n    2024-05-15 15:08:02.312933: I tensorflow/core/util/port.cc:113] 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 variable `TF_ENABLE_ONEDNN_OPTS=0`.\n    2024-05-15 15:08:02.348419: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n    To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n    2024-05-15 15:08:02.978770: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n    2024-05-15 15:08:04.455323: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:282] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error\n    2024-05-15 15:08:04.455348: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:134] retrieving CUDA diagnostic information for host: sagnik-lenovo\n    2024-05-15 15:08:04.455353: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:141] hostname: sagnik-lenovo\n    2024-05-15 15:08:04.455440: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:165] libcuda reported version is: 545.29.6\n    2024-05-15 15:08:04.455452: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:169] kernel reported version is: 545.29.6\n    2024-05-15 15:08:04.455455: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:248] kernel version seems to match DSO: 545.29.6\n    []\n    \n\nI got this. Evidently, tensorflow is not detecting my GPU",
  "label": "r/tensorflow",
  "dataType": "comment",
  "communityName": "r/tensorflow",
  "datetime": "2024-05-15",
  "username_encoded": "Z0FBQUFBQm5LakwzQ2M1YWhnc0Vha1l5U3VTVlJZUnlBcms3WW05SkI2MnZjWk4zS0c1dkhNbm5UMVZXbE5OVlA3ZC1FVGtvMWlZUDd3TGR4Mi00NGdyT2ZIeU9vMVlHeEgySlRBdUU1OWM2MVlXOEVsTDRxbWM9",
  "url_encoded": "Z0FBQUFBQm5Lak9HSEJXVU5DLVE5ODc0U0RKSVVIVEhFTmY1bTFzNEhQUUhRaDAzZEFCYjRmb2VvZlNHdHAyZ2tsZ3VqUEttV3o4V2hBbGViNEMtZ1ROVTlRclVCLXEybWwySFJaa2VIMDJ1MmY3SjF6NFJWbGtHd05QX0l4SDBZcTBlblo5N2FRek5rR3FGTEtXTkFxNEdtdkZxN3RRd3c0eVJpZVRVbzd0WC1mdl9adEJ2Yk9kaGREV0I2UXlYWUNWNURTeXRuTFZ0akRHV2prQjFKd2xIcWNpVEFRUWlHUT09"
}
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