a year ago
2024-04-27 23:36:14.672727: I tensorflow/core/util/port.cc:110] 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
.
2024-04-27 23:36:14.675423: I tensorflow/tsl/cuda/cudartstub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-04-27 23:36:14.742356: I tensorflow/core/platform/cpufeatureguard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-04-27 23:36:15.733872: W tensorflow/compiler/tf2tensorrt/utils/pyutils.cc:38] TF-TRT Warning: Could not find TensorRT No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english). Using a pipeline without specifying a model name and revision in production is not recommended. 2024-04-27 23:36:27.934660: I tensorflow/core/util/port.cc:110] 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
. 2024-04-27 23:36:27.937758: I tensorflow/tsl/cuda/cudartstub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2024-04-27 23:36:27.991067: I tensorflow/core/platform/cpufeatureguard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-04-27 23:36:29.099584: W tensorflow/compiler/tf2tensorrt/utils/pyutils.cc:38] TF-TRT Warning: Could not find TensorRT
No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english).
Using a pipeline without specifying a model name and revision in production is not recommended.
2024-04-27 23:36:40.849259: I tensorflow/core/util/port.cc:110] 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
.
2024-04-27 23:36:40.851869: I tensorflow/tsl/cuda/cudartstub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-04-27 23:36:40.906471: I tensorflow/core/platform/cpufeatureguard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-04-27 23:36:41.923879: W tensorflow/compiler/tf2tensorrt/utils/pyutils.cc:38] TF-TRT Warning: Could not find TensorRT No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english). Using a pipeline without specifying a model name and revision in production is not recommended. 2024-04-27 23:36:51.777976: I tensorflow/core/util/port.cc:110] 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
. 2024-04-27 23:36:51.780694: I tensorflow/tsl/cuda/cudartstub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2024-04-27 23:36:51.833976: I tensorflow/core/platform/cpufeatureguard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-04-27 23:36:52.834117: W tensorflow/compiler/tf2tensorrt/utils/pyutils.cc:38] TF-TRT Warning: Could not find TensorRT
No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english).
Using a pipeline without specifying a model name and revision in production is not recommended.
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1 Replies
a year ago
You're on a trial plan, it would be incredibly unlikely for any app that uses a modal of any kind to be able to run with only 500MB of memory, try upgrading to the Hobby plan for access to 8GB of memory.