I am trying to write a Custom Model in which I am writing a custom train_step function I am creating a 'tf.data.Dataset` from a Custom Datagenerator like tds =
I am trying to implement a VAE for MNIST using convolutional layers using TensorFlow-2.6 and Python-3.9. The code I have is: # Specify latent space dimensions-
Hey everyone this is my first question post. If I do something wrong or u need more information please just tell me I will try to give my best. I tried to creat
A gradient is a nested list of tensors. I want to get the total number of elements in the gradient, and record this number as an int. However, I don't know how
I have Ubuntu 18.04. Python 3.7.3, Tensorflow 2.0.0 here's my cuda version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2017 NVIDIA Corporation B
I have images(X_train) and masks data (y_train). I want to train a unet network. I am currently using iou metric and the validation iou is very low and constant
I installed tensorflow-io with pip install tensorflow-io, when I import it I get: tensorflow.python.framework.errors_impl.AlreadyExistsError: File system for s3
I would like to simply define a model and visualize its graph in TensorBoard for initial architectural examination. Thus, I would not like to compute anything f
I'm trying to reload or access the Keras-Tuner Trials after the Tuner's search has completed for inspecting the results. I'm not able to find any documentation
I am trying to use GPU with Tensorflow. My Tensorflow version is 2.4.1 and I am using Cuda version 11.2. Here is the output of nvidia-smi. +--------------------
I know that output of keras layers (like keras.layers.Dense()) produce so-called 'keras tensors'. Also, there are 'tensorflow tensors' that are produced by tens
I'm using tensorflow to open some .png images and every image it opens, an annoying message is printed. def open_img(path): img = tf.io.read_file(path)
I have a tensor with the following properties. I want to save the numpy = 1 but I don't know how to access this value. How do I do this? test_labels[1] <tf.
I have created a notebook instance on AWS-SageMaker and not able to access imgtag module inside it. Kernel : conda_python3 from imgtag import imgTag getting e
I'm trying to re-implement the text summarization tutorial here. The tutorial employs the Attention Layer proposed for Keras on GitHub (which does not come with
I just installed the latest version of Tensorflow via pip install tensorflow and whenever I run a program, I get the log message: W tensorflow/stream_execut
Am using Tensorflow 2.0 on Ubuntu 18.04. On running tf.config.list_physical_devices('GPU') I get the above error. What is the workaround for this?