Open guoliangq opened 1 year ago
I also have this problem, the requirements listed in your requirement.txt
seem not enough for me to load the dataset.
I also need the versions of the packages below.
What error raises exactly?
There are my logs, it seems like the process is blocked. I think it's a version issue with the packages Six, TensorFlow, TensorFlow datasets, TensorFlow addons, and Pillow (as I only installed these additional packages).
python get_vtab1k.py
2023-08-09 04:09:57.816914: 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`.
2023-08-09 04:09:57.859487: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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.
2023-08-09 04:09:58.665901: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning:
TensorFlow Addons (TFA) has ended development and introduction of new features.
TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.
Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP).
For more information see: https://github.com/tensorflow/addons/issues/2807
warnings.warn(
2023-08-09 04:09:59.725324: W tensorflow/tsl/platform/cloud/google_auth_provider.cc:184] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "NOT_FOUND: Could not locate the credentials file.". Retrieving token from GCE failed with "FAILED_PRECONDITION: Error executing an HTTP request: libcurl code 6 meaning 'Couldn't resolve host name', error details: Could not resolve host: metadata.google.internal".
2023-08-09 04:11:01.969729: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001244 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:12:05.570709: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001114 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:13:11.994750: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.00135 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH$ cd data/vtab-source
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
Traceback (most recent call last):
File "get_vtab1k.py", line 1, in <module>
from task_adaptation.data import caltech
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/caltech.py", line 21, in <module>
import task_adaptation.data.base as base
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/base.py", line 23, in <module>
import six
ModuleNotFoundError: No module named 'six'
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install six
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting six
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six
Successfully installed six-1.16.0
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
Traceback (most recent call last):
File "get_vtab1k.py", line 1, in <module>
from task_adaptation.data import caltech
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/caltech.py", line 21, in <module>
import task_adaptation.data.base as base
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/base.py", line 24, in <module>
import tensorflow.compat.v1 as tf
ModuleNotFoundError: No module named 'tensorflow'
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install tensorflow
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorflow
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/88/cc/14affad82a28640974ff2a37c177269a0a088266104ddf76a01eac21c9ac/tensorflow-2.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (524.1 MB)
Collecting absl-py>=1.0.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/dd/87/de5c32fa1b1c6c3305d576e299801d8655c175ca9557019906247b994331/absl_py-1.4.0-py3-none-any.whl (126 kB)
Collecting astunparse>=1.6.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/2b/03/13dde6512ad7b4557eb792fbcf0c653af6076b81e5941d36ec61f7ce6028/astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting flatbuffers>=23.1.21 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6f/12/d5c79ee252793ffe845d58a913197bfa02ae9a0b5c9bc3dc4b58d477b9e7/flatbuffers-23.5.26-py2.py3-none-any.whl (26 kB)
Collecting gast<=0.4.0,>=0.2.1 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b6/48/583c032b79ae5b3daa02225a675aeb673e58d2cb698e78510feceb11958c/gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting google-pasta>=0.1.1 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/de/c648ef6835192e6e2cc03f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl (57 kB)
Collecting grpcio<2.0,>=1.24.3 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/73/11/9201e5fad4db2fb8866de0cd434aa5b81870370ae4ea2c3a00b19bc6351e/grpcio-1.56.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB)
Collecting h5py>=2.9.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ae/3d/7d396c8be3ed11a0301d303af20a6dcb367d8ed78b4779de9e4962193303/h5py-3.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)
Collecting keras<2.14,>=2.13.1 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/2e/f3/19da7511b45e80216cbbd9467137b2d28919c58ba1ccb971435cb631e470/keras-2.13.1-py3-none-any.whl (1.7 MB)
Collecting libclang>=13.0.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ea/df/55525e489c43f9dbb6c8ea27d8a567b3dcd18a22f3c45483055f5ca6611d/libclang-16.0.6-py2.py3-none-manylinux2010_x86_64.whl (22.9 MB)
Collecting numpy<=1.24.3,>=1.22 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8b/d9/814a619ab84d8eb0d95e08d4c723e665f1e694b5a6068ca505a61bdc3745/numpy-1.24.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
Collecting opt-einsum>=2.3.2 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bc/19/404708a7e54ad2798907210462fd950c3442ea51acc8790f3da48d2bee8b/opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Collecting packaging (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ab/c3/57f0601a2d4fe15de7a553c00adbc901425661bf048f2a22dfc500caf121/packaging-23.1-py3-none-any.whl (48 kB)
Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/01/cb/445b3e465abdb8042a41957dc8f60c54620dc7540dbcf9b458a921531ca2/protobuf-4.23.4-cp37-abi3-manylinux2014_x86_64.whl (304 kB)
Requirement already satisfied: setuptools in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow) (68.0.0)
Requirement already satisfied: six>=1.12.0 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow) (1.16.0)
Collecting tensorboard<2.14,>=2.13 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/67/f2/e8be5599634ff063fa2c59b7b51636815909d5140a26df9f02ce5d99b81a/tensorboard-2.13.0-py3-none-any.whl (5.6 MB)
Collecting tensorflow-estimator<2.14,>=2.13.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/72/5c/c318268d96791c6222ad7df1651bbd1b2409139afeb6f468c0f327177016/tensorflow_estimator-2.13.0-py2.py3-none-any.whl (440 kB)
Collecting termcolor>=1.1.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/67/e1/434566ffce04448192369c1a282931cf4ae593e91907558eaecd2e9f2801/termcolor-2.3.0-py3-none-any.whl (6.9 kB)
Collecting typing-extensions<4.6.0,>=3.6.6 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/31/25/5abcd82372d3d4a3932e1fa8c3dbf9efac10cc7c0d16e78467460571b404/typing_extensions-4.5.0-py3-none-any.whl (27 kB)
Collecting wrapt>=1.11.0 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/af/7f/25913aacbe0c2c68e7354222bdefe4e840489725eb835e311c581396f91f/wrapt-1.15.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (81 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1 (from tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d6/e4/b8816320283b7a4774e53a51a1019a2344503e517d5b698e9db45d3b48c9/tensorflow_io_gcs_filesystem-0.33.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.4 MB)
Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from astunparse>=1.6.0->tensorflow) (0.38.4)
Collecting google-auth<3,>=1.6.3 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9c/8d/bff87fc722553a5691d8514da5523c23547f3894189ba03b57592e37bdc2/google_auth-2.22.0-py2.py3-none-any.whl (181 kB)
Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4a/07/8d9a8186e6768b55dfffeb57c719bc03770cf8a970a074616ae6f9e26a57/google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1a/b5/228c1cdcfe138f1a8e01ab1b54284c8b83735476cb22b6ba251656ed13ad/Markdown-3.4.4-py3-none-any.whl (94 kB)
Collecting requests<3,>=2.21.0 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/70/8e/0e2d847013cb52cd35b38c009bb167a1a26b2ce6cd6965bf26b47bc0bf44/requests-2.31.0-py3-none-any.whl (62 kB)
Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/02/52/fb9e51fba47951aabd7a6b25e41d73eae94208ccf62d886168096941a781/tensorboard_data_server-0.7.1-py3-none-manylinux2014_x86_64.whl (6.6 MB)
Collecting werkzeug>=1.0.1 (from tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ba/d6/8040faecaba2feb84e1647af174b3243c9b90c163c7ea407820839931efe/Werkzeug-2.3.6-py3-none-any.whl (242 kB)
Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a9/c9/c8a7710f2cedcb1db9224fdd4d8307c9e48cbddc46c18b515fefc0f1abbe/cachetools-5.3.1-py3-none-any.whl (9.3 kB)
Collecting pyasn1-modules>=0.2.1 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/cd/8e/bea464350e1b8c6ed0da3a312659cb648804a08af6cacc6435867f74f8bd/pyasn1_modules-0.3.0-py2.py3-none-any.whl (181 kB)
Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/49/97/fa78e3d2f65c02c8e1268b9aba606569fe97f6c8f7c2d74394553347c145/rsa-4.9-py3-none-any.whl (34 kB)
Collecting urllib3<2.0 (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl (143 kB)
Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6f/bb/5deac77a9af870143c684ab46a7934038a53eb4aa975bc0687ed6ca2c610/requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Collecting importlib-metadata>=4.4 (from markdown>=2.6.8->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/cc/37/db7ba97e676af155f5fcb1a35466f446eadc9104e25b83366e8088c9c926/importlib_metadata-6.8.0-py3-none-any.whl (22 kB)
Collecting charset-normalizer<4,>=2 (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/cb/e7/5e43745003bf1f90668c7be23fc5952b3a2b9c2558f16749411c18039b36/charset_normalizer-3.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (199 kB)
Collecting idna<4,>=2.5 (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/fc/34/3030de6f1370931b9dbb4dad48f6ab1015ab1d32447850b9fc94e60097be/idna-3.4-py3-none-any.whl (61 kB)
Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4c/dd/2234eab22353ffc7d94e8d13177aaa050113286e93e7b40eae01fbf7c3d9/certifi-2023.7.22-py3-none-any.whl (158 kB)
Collecting MarkupSafe>=2.1.1 (from werkzeug>=1.0.1->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/de/e2/32c14301bb023986dff527a49325b6259cab4ebb4633f69de54af312fc45/MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Collecting zipp>=0.5 (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8c/08/d3006317aefe25ea79d3b76c9650afabaf6d63d1c8443b236e7405447503/zipp-3.16.2-py3-none-any.whl (7.2 kB)
Collecting pyasn1<0.6.0,>=0.4.6 (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/14/e5/b56a725cbde139aa960c26a1a3ca4d4af437282e20b5314ee6a3501e7dfc/pyasn1-0.5.0-py2.py3-none-any.whl (83 kB)
Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7e/80/cab10959dc1faead58dc8384a781dfbf93cb4d33d50988f7a69f1b7c9bbe/oauthlib-3.2.2-py3-none-any.whl (151 kB)
Installing collected packages: libclang, flatbuffers, zipp, wrapt, urllib3, typing-extensions, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, pyasn1, protobuf, packaging, oauthlib, numpy, MarkupSafe, keras, idna, grpcio, google-pasta, gast, charset-normalizer, certifi, cachetools, astunparse, absl-py, werkzeug, rsa, requests, pyasn1-modules, opt-einsum, importlib-metadata, h5py, requests-oauthlib, markdown, google-auth, google-auth-oauthlib, tensorboard, tensorflow
Successfully installed MarkupSafe-2.1.3 absl-py-1.4.0 astunparse-1.6.3 cachetools-5.3.1 certifi-2023.7.22 charset-normalizer-3.2.0 flatbuffers-23.5.26 gast-0.4.0 google-auth-2.22.0 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 grpcio-1.56.2 h5py-3.9.0 idna-3.4 importlib-metadata-6.8.0 keras-2.13.1 libclang-16.0.6 markdown-3.4.4 numpy-1.24.3 oauthlib-3.2.2 opt-einsum-3.3.0 packaging-23.1 protobuf-4.23.4 pyasn1-0.5.0 pyasn1-modules-0.3.0 requests-2.31.0 requests-oauthlib-1.3.1 rsa-4.9 tensorboard-2.13.0 tensorboard-data-server-0.7.1 tensorflow-2.13.0 tensorflow-estimator-2.13.0 tensorflow-io-gcs-filesystem-0.33.0 termcolor-2.3.0 typing-extensions-4.5.0 urllib3-1.26.16 werkzeug-2.3.6 wrapt-1.15.0 zipp-3.16.2
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
2023-08-09 04:08:26.281169: 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`.
2023-08-09 04:08:26.321709: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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.
2023-08-09 04:08:27.090942: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Traceback (most recent call last):
File "get_vtab1k.py", line 1, in <module>
from task_adaptation.data import caltech
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/caltech.py", line 21, in <module>
import task_adaptation.data.base as base
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/base.py", line 25, in <module>
import tensorflow_datasets as tfds
ModuleNotFoundError: No module named 'tensorflow_datasets'
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install tensorflow-datasets
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorflow-datasets
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/62/82/521e36235c7890b067415fa874f5074ff21f1005a189d79fd72b33b39ca1/tensorflow_datasets-4.9.2-py3-none-any.whl (5.4 MB)
Requirement already satisfied: absl-py in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (1.4.0)
Collecting array-record (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8f/d7/c561a3ee49d837478a78639502e8f21f52879d8d56b74fed3e30275836ea/array_record-0.4.0-py38-none-any.whl (3.0 MB)
Collecting click (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1a/70/e63223f8116931d365993d4a6b7ef653a4d920b41d03de7c59499962821f/click-8.1.6-py3-none-any.whl (97 kB)
Collecting dm-tree (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e3/03/cd776c4f224aabe06225c3661f79e1114dbe337506ae9039575eb06cc568/dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152 kB)
Collecting etils[enp,epath]>=0.9.0 (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ca/db/47ffb866d7a1aa21132a72f67e84c4f03a4cad11ae9d069dd61c52f929de/etils-1.3.0-py3-none-any.whl (126 kB)
Requirement already satisfied: numpy in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (1.24.3)
Collecting promise (from tensorflow-datasets)
Using cached promise-2.3-py3-none-any.whl
Requirement already satisfied: protobuf>=3.20 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (4.23.4)
Collecting psutil (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/af/4d/389441079ecef400e2551a3933224885a7bde6b8a4810091d628cdd75afe/psutil-5.9.5-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (282 kB)
Requirement already satisfied: requests>=2.19.0 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (2.31.0)
Collecting tensorflow-metadata (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6e/b7/41ed520712c659dee0653dbd1ae71ed991bc51c7622e3e4dafbbf208faaa/tensorflow_metadata-1.13.1-py3-none-any.whl (28 kB)
Requirement already satisfied: termcolor in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (2.3.0)
Collecting toml (from tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/44/6f/7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e/toml-0.10.2-py2.py3-none-any.whl (16 kB)
Collecting tqdm (from tensorflow-datasets)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/40/14/63f9a5bc62e8a50585b8a7a6de1ffab8eab09aaa5321b86127919ee7de02/tqdm-4.65.1-py3-none-any.whl (93 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.2/93.2 kB 1.5 MB/s eta 0:00:00
Requirement already satisfied: wrapt in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-datasets) (1.15.0)
Collecting importlib-resources (from tensorflow-datasets)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/25/d4/592f53ce2f8dde8be5720851bd0ab71cc2e76c55978e4163ef1ab7e389bb/importlib_resources-6.0.1-py3-none-any.whl (34 kB)
Requirement already satisfied: typing_extensions in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from etils[enp,epath]>=0.9.0->tensorflow-datasets) (4.5.0)
Requirement already satisfied: zipp in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from etils[enp,epath]>=0.9.0->tensorflow-datasets) (3.16.2)
Requirement already satisfied: charset-normalizer<4,>=2 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from requests>=2.19.0->tensorflow-datasets) (3.2.0)
Requirement already satisfied: idna<4,>=2.5 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from requests>=2.19.0->tensorflow-datasets) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from requests>=2.19.0->tensorflow-datasets) (1.26.16)
Requirement already satisfied: certifi>=2017.4.17 in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from requests>=2.19.0->tensorflow-datasets) (2023.7.22)
Requirement already satisfied: six in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from promise->tensorflow-datasets) (1.16.0)
Collecting googleapis-common-protos<2,>=1.52.0 (from tensorflow-metadata->tensorflow-datasets)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a7/bc/416a1ffeba4dcd072bc10523dac9ed97f2e7fc4b760580e2bdbdc1e2afdd/googleapis_common_protos-1.60.0-py2.py3-none-any.whl (227 kB)
Installing collected packages: dm-tree, tqdm, toml, psutil, promise, importlib-resources, googleapis-common-protos, etils, click, tensorflow-metadata, array-record, tensorflow-datasets
Successfully installed array-record-0.4.0 click-8.1.6 dm-tree-0.1.8 etils-1.3.0 googleapis-common-protos-1.60.0 importlib-resources-6.0.1 promise-2.3 psutil-5.9.5 tensorflow-datasets-4.9.2 tensorflow-metadata-1.13.1 toml-0.10.2 tqdm-4.65.1
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
2023-08-09 04:08:45.926715: 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`.
2023-08-09 04:08:45.970179: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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.
2023-08-09 04:08:46.694028: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Traceback (most recent call last):
File "get_vtab1k.py", line 4, in <module>
from task_adaptation.data import diabetic_retinopathy
File "/data/sdb/jiacheng/NOAH/data/vtab-source/task_adaptation/data/diabetic_retinopathy.py", line 24, in <module>
import tensorflow_addons.image as tfa_image
ModuleNotFoundError: No module named 'tensorflow_addons'
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install tensorflow-addons
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorflow-addons
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/06/bb/46bb83fee4207bf885e679b057d42c816d67192e006ba0c723ff7c861c28/tensorflow_addons-0.21.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (612 kB)
Requirement already satisfied: packaging in /home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages (from tensorflow-addons) (23.1)
Collecting typeguard<3.0.0,>=2.7 (from tensorflow-addons)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9a/bb/d43e5c75054e53efce310e79d63df0ac3f25e34c926be5dffb7d283fb2a8/typeguard-2.13.3-py3-none-any.whl (17 kB)
Installing collected packages: typeguard, tensorflow-addons
Successfully installed tensorflow-addons-0.21.0 typeguard-2.13.3
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
2023-08-09 04:09:03.610784: 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`.
2023-08-09 04:09:03.652733: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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.
2023-08-09 04:09:04.385836: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning:
TensorFlow Addons (TFA) has ended development and introduction of new features.
TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.
Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP).
For more information see: https://github.com/tensorflow/addons/issues/2807
warnings.warn(
Traceback (most recent call last):
File "get_vtab1k.py", line 21, in <module>
from PIL import Image
ModuleNotFoundError: No module named 'PIL'
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install PIL
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
ERROR: Could not find a version that satisfies the requirement PIL (from versions: none)
ERROR: No matching distribution found for PIL
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ pip install Pillow
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting Pillow
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ff/8c/5927a58c43ebc16e508eef325fdc6473b569e2474d3b4be49798aa371007/Pillow-10.0.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB)
Installing collected packages: Pillow
Successfully installed Pillow-10.0.0
(NOAH) jiacheng@cvip-3090x8:/data/sdb/jiacheng/NOAH/data/vtab-source$ python get_vtab1k.py
2023-08-09 04:09:57.816914: 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`.
2023-08-09 04:09:57.859487: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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.
2023-08-09 04:09:58.665901: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/home/jiacheng/anaconda3/envs/NOAH/lib/python3.8/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning:
TensorFlow Addons (TFA) has ended development and introduction of new features.
TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.
Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP).
For more information see: https://github.com/tensorflow/addons/issues/2807
warnings.warn(
2023-08-09 04:09:59.725324: W tensorflow/tsl/platform/cloud/google_auth_provider.cc:184] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "NOT_FOUND: Could not locate the credentials file.". Retrieving token from GCE failed with "FAILED_PRECONDITION: Error executing an HTTP request: libcurl code 6 meaning 'Couldn't resolve host name', error details: Could not resolve host: metadata.google.internal".
2023-08-09 04:11:01.969729: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001244 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:12:05.570709: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001114 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:13:11.994750: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.00135 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:14:21.092205: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001123 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
^C2023-08-09 04:15:39.612205: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.001054 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
2023-08-09 04:17:12.397243: E tensorflow/tsl/platform/cloud/curl_http_request.cc:610] The transmission of request 0x2097ff0 (URI: https://www.googleapis.com/storage/v1/b/tfds-data/o/dataset_info%2Fcaltech101%2F3.0.1?fields=size%2Cgeneration%2Cupdated) has been stuck at 0 of 0 bytes for 61 seconds and will be aborted. CURL timing information: lookup time: 0.000824 (No error), connect time: 0 (No error), pre-transfer time: 0 (No error), start-transfer time: 0 (No error)
There are my packages in my anaconda environment.
# packages in environment at /home/jiacheng/anaconda3/envs/NOAH:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
absl-py 1.4.0 pypi_0 pypi
array-record 0.4.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
ca-certificates 2023.05.30 h06a4308_0
cachetools 5.3.1 pypi_0 pypi
certifi 2023.7.22 pypi_0 pypi
charset-normalizer 3.2.0 pypi_0 pypi
click 8.1.6 pypi_0 pypi
dm-tree 0.1.8 pypi_0 pypi
etils 1.3.0 pypi_0 pypi
flatbuffers 23.5.26 pypi_0 pypi
gast 0.4.0 pypi_0 pypi
google-auth 2.22.0 pypi_0 pypi
google-auth-oauthlib 1.0.0 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
googleapis-common-protos 1.60.0 pypi_0 pypi
grpcio 1.56.2 pypi_0 pypi
h5py 3.9.0 pypi_0 pypi
idna 3.4 pypi_0 pypi
importlib-metadata 6.8.0 pypi_0 pypi
importlib-resources 6.0.1 pypi_0 pypi
keras 2.13.1 pypi_0 pypi
ld_impl_linux-64 2.38 h1181459_1
libclang 16.0.6 pypi_0 pypi
libffi 3.4.4 h6a678d5_0
libgcc-ng 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libstdcxx-ng 11.2.0 h1234567_1
markdown 3.4.4 pypi_0 pypi
markupsafe 2.1.3 pypi_0 pypi
ncurses 6.4 h6a678d5_0
numpy 1.24.3 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
openssl 3.0.10 h7f8727e_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 23.1 pypi_0 pypi
pillow 10.0.0 pypi_0 pypi
pip 23.2.1 py38h06a4308_0
promise 2.3 pypi_0 pypi
protobuf 4.23.4 pypi_0 pypi
psutil 5.9.5 pypi_0 pypi
pyasn1 0.5.0 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
python 3.8.17 h955ad1f_0
readline 8.2 h5eee18b_0
requests 2.31.0 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
setuptools 68.0.0 py38h06a4308_0
six 1.16.0 pypi_0 pypi
sqlite 3.41.2 h5eee18b_0
tensorboard 2.13.0 pypi_0 pypi
tensorboard-data-server 0.7.1 pypi_0 pypi
tensorflow 2.13.0 pypi_0 pypi
tensorflow-addons 0.21.0 pypi_0 pypi
tensorflow-datasets 4.9.2 pypi_0 pypi
tensorflow-estimator 2.13.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.33.0 pypi_0 pypi
tensorflow-metadata 1.13.1 pypi_0 pypi
termcolor 2.3.0 pypi_0 pypi
tk 8.6.12 h1ccaba5_0
toml 0.10.2 pypi_0 pypi
tqdm 4.65.1 pypi_0 pypi
typeguard 2.13.3 pypi_0 pypi
typing-extensions 4.5.0 pypi_0 pypi
urllib3 1.26.16 pypi_0 pypi
werkzeug 2.3.6 pypi_0 pypi
wheel 0.38.4 py38h06a4308_0
wrapt 1.15.0 pypi_0 pypi
xz 5.4.2 h5eee18b_0
zipp 3.16.2 pypi_0 pypi
zlib 1.2.13 h5eee18b_0
My tfds: 4.4.0+nightly
Thank you very much. I have solved this problem.
Due to the network firewall in Chinese Mainland, Tensorflow
cannot use the built-in method of automatically downloading datasets to download datasets from Google
, so it cannot properly prepare the vtab-1k dataset.
My suggestion for this is to use servers outside of mainland China to download datasets, or to use pre downloaded datasets to avoid TensorFlow automatically downloading datasets from Google.
Anyway, thank you very much for the author's selfless help. @ZhangYuanhan-AI
Thanks for this Important information, and enjoy NOAH!
Thanks for the tips from @Maystern. I provide the code for using proxy in get_vtab1k.py:
import os
os.environ['HTTP_PROXY'] = 'http://your_proxy_ip:your_proxy_port'
os.environ['HTTPS_PROXY'] = 'http://your_proxy_ip:your_proxy_port'
And don't forget to remove the softlink of the original repo 'data/vtab-source/data/vtab' after clone the code. Finally, you will successfully download the datasets.
Thanks for the tips from @Maystern. I provide the code for using proxy in get_vtab1k.py:
import os os.environ['HTTP_PROXY'] = 'http://your_proxy_ip:your_proxy_port' os.environ['HTTPS_PROXY'] = 'http://your_proxy_ip:your_proxy_port'
And don't forget to remove the softlink of the original repo 'data/vtab-source/data/vtab' after clone the code. Finally, you will successfully download the datasets.
Thanks! Using proxy is indeed a good way to download.
I want to share a more convenient way to download the dataset. Thanks for the efforts of RepAdapter, we can use Google Drive provided by them to download the dataset from their repo.
Hello, I can't download the VTAB dataset according to your configuration, can you send me a copy of the dataset, my email is 1971733261@qq.com. And I hope you can provide the versions of the following packages:tensorflow、tensorflow-addons、tensorflow-metadata、tensorflow-datasets、tfds-nightly.