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.
09.01.2022 · Similar to parse_example, except: For dense tensors, the returned Tensor is identical to the output of parse_example, except there is no batch dimension, the output shape is the same as the shape given in dense_shape. For SparseTensor s, the first (batch) column of the indices matrix is removed (the indices matrix is a column vector), the ...
AttributeError: module 'tensorflow.compat.v1.profiler' has no attribute 'experimental'. Here's a code snippet: import tensorflow as tf import numpy as np ...
23.10.2017 · AttributeError: module 'tensorflow' has no attribute 'feature_column' I searched online and got to know that this can happen on older versions of tensorflow, but I am running the latest version: 1.3.0
17.02.2021 · AttributeError: module 'tensorflow' has no attribute 'contrib' What I have tried: I tried to automatically upgrade script to tensorflow2 using single python file command. But didn't work for me. (base) R:\Anaconda\anaconda\Lib\site-packages\object_detection\data_decoders>tf_upgrade_v2 --infile tf_example_decoder.py - …
Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: module 'tensorflow' has no attribute 'Session' System Information: OS Platform and Distribution: Windows 10; Python Version: 3.7.1; Tensorflow Version: 2.0.0-alpha0 (installed with pip) Steps to reproduce: Installation: pip install --upgrade pip
I get some errors when I run the code in this tutorial by Google. when I run the following piece of code: plotter = tfdocs.plots.HistoryPlotter (metric = 'binary_crossentropy', smoothing_std=10) plotter.plot (size_histories) plt.ylim ( [0.5, 0.7]) It gives me the following error: AttributeError: module 'tensorflow_docs' has no attribute 'plots'.