28.12.2021 · module 'tensorflow_estimator.python.estimator.api._v1.estimator.tpu' has no attribute 'CrossShardOptimizer'I am trying to pretrain a bert from google's pretrain ...
26.02.2020 · The easiest solution is probably to downgrade to a version of tensorflow v1 to run the code as it is. An other option would be to could follow this guide to migrate the code from v1 to v2. A third option would be to use the tf.compat module to get some retro-compatibility. For example, tf.layers does not exist anymore in Tensorflow v2.
AttributeError: module 'tensorflow' has no attribute 'get_default_graph' Ask Question Asked 2 years, 9 months ago. Active 6 months ago. Viewed 17k times 7 2. I am doing some task related to image captioning and I have loaded the weights of inception model like this . model = InceptionV3 ...
I'm using elmo embeddings from tensorflow hub, and I am using them with tensorflow 2.4.1. The same model architecture worked when built in Tensorflow 1.x, but I need to migrate it to TF2. I followed the instructions on how to replace hub.Module() with hub.KerasLayer() or hub.load() in order to use elmo in TF2. The example is with hub.load().
AttributeError: module 'tensorflow_core._api.v2.config' has no attribute 'list_physical_devices' 1 TensorFlow 2.0: InvalidArgumentError: device CUDA:0 not supported by XLA service while setting up XLA_GPU_JIT device number 0
16.05.2018 · AttributeError: module 'tensorflow.contrib' has no attribute 'distribute' #19343 sangeetsaurabh commented on May 16, 2018 When I include mirroring strategy using following code - Build the Estimator distribution = tf.contrib.distribute.MirroredStrategy () config = tf.estimator.RunConfig (train_distribute=distribution)
All other information is not included in the experiment except the three attribute tags mentioned above. Detailed tag distribution can be found in Table 1.
27.03.2019 · None: tf.distribute.experimental.CollectiveCommunication.AUTO, AttributeError: module 'tensorflow._api.v1.distribute' has no attribute 'experimental' I checked with updating tensorflow models, not working Please suggest any way out. I have the same problem. I solved my issue by using Conda instead of PIP.
21.12.2021 · AttributeError: module 'tensorflow.compat.v2.__internal__.distribute' has no attribute 'strategy_supports_no_merge_call' #53510 Fer020707 opened this issue Dec 21, 2021 · 7 comments Assignees
Le code de sortie complet: Module tensorflow has no attribute core Module tensorflow ... in TensorFlow): OS Platform and Distribution: Windows 10 TensorFlow ...
OS Platform and Distribution: Windows 10; Python Version: 3.7.1; Tensorflow Version: 2.0.0-alpha0 (installed with pip). Steps to reproduce: Installation ...
23.02.2021 · My guess is this could be related to a version mismatch between the versions you're using for tensorflow and tensorflow_hub.. It looks like AutoPolicy was removed from TF in a recent commit, so if you built tensorflow from source and included this commit, then that could be the issue.If you want to build TF from source, checkout the latest official release before building ().
17.06.2019 · AttributeError: module 'tensorflow' has no attribute 'contrib' QuickLearner171998 commented on Jun 18, 2019 tf.contrib is no more present in tensorflow 2.0. I suggest you to use model_main.py for training and evaluation. Author ssable commented on Jun 18, 2019 The issue is actually with colab code, not tensorflow itself.