25.02.2020 · 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.
27.11.2019 · module 'tensorflow' has no attribute 'get_default_graph'. Code: import csv import cv2 import os import numpy as np import numpy as ndarray import tensorflow as tf import pandas as pd from numpy import zeros, newaxis from sklearn.preprocessing import OneHotEncoder from sklearn.preprocessing import OneHotEncoder import matplotlib.pyplot as plt ...
26.12.2021 · Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session' 1 Extracting weights from best Neural Network in Tensorflow/Keras - multiple epochs
File "D:\Object Detection\Tutorial\code\mrcnn\model.py", in refine_detections_graph keep = tf.sparse_tensor_to_dense(keep)[0] AttributeError: module 'tensorflow' has no attribute 'sparse_tensor_to_dense' To fix it, replace each occurrence of tf.sparse_tensor_to_dense by tf.sparse.to_dense. The new line should be: keep = tf.sparse.to_dense(keep)[0]
The function sparse_tensor_to_dense() in TensorFlow $\geq$ 1.0 is accessible through the tf.sparse module (tf.sparse.to_dense). File "D:\Object Detection\Tutorial\code\mrcnn\model.py", in refine_detections_graph keep = tf.sparse_tensor_to_dense(keep)[0] AttributeError: module 'tensorflow' has no attribute 'sparse_tensor_to_dense'
AttributeError: 'NoneType' object has no attribute 'outer_context' when building a token classification model #53575 popkristina opened this issue Dec 29, 2021 · 0 comments Assignees
22.06.2021 · AttributeError: module ‘keras.utils.generic_utils’ has no attribute. ‘populate_dict_with_module_objects. here is the code excluding the data processing on the dataset. my version for Keras is 2.4.3, TensorFlow is 2.5.0 and python is 3.8. I’ve seen many other people facing similar issues but I believe it has to do with compatibility ...
It indicates that TensorFlow has no attribute called log() . ... tf.sparse_tensor_to_dense(keep)[0] AttributeError: module 'tensorflow' has no attribute ...
14.06.2018 · as a side note upgrading to version 1.4 is not enough because then we get: AttributeError: 'Iterator' object has no attribute '_output_classes' as in #66 where it is stated that tensorflow version 1.7 is mandatory. actually using tensorflow 1.8. also seems to work just fine.
17.09.2018 · tensor = tf.multiply(ndarray, 42) tensor.numpy() # throw AttributeError: 'Tensor' object has no attribute 'numpy' I use anaconda 3 with tensorflow 1.14.0. I upgraded tensorflow with the command below. conda update tensorflow now tensorflow is 2.0.0, issue fixed. Try this to see if it resolves your issue.