Aug 30, 2019 · x.item() as @Vimal Thilak wrote is likely the most pythonic way assuming (as in your example) that the tensor has one element. This approach is best by avoiding additional conversion between types. This approach is best by avoiding additional conversion between types.

Nov 10, 2015 · The easiest [A] way to evaluate the actual value of a Tensor object is to pass it to the Session.run() method, or call Tensor.eval() when you have a default session (i.e. in a with tf.Session(): block, or see below).

May 1, 2016 · If your tensor's shape is changable, use it. An example: a input is an image with changable width and height, we want resize it to half of its size, then we can write something like: new_height = tf.shape(image)[0] / 2. tensor.get_shape; tensor.get_shape is used for fixed shapes, which means the tensor's shape can be deduced in the graph.

Oct 6, 2018 · If your tensor is very large, adjust the threshold value to a higher number. Another option is: torch.set_printoptions(profile="full") print(x) # prints the whole tensor torch.set_printoptions(profile="default") # reset print(x) # prints the truncated tensor All the available set_printoptions arguments are documented here.

Nov 20, 2021 · I am having a list of tensors I want to convert to floating points how can I do it. I have tried using .item but it is not working. I am getting ValueError: only one element tensors can be converte...

Jul 24, 2016 · python -c 'import tensorflow as tf; print(tf.__version__)' # for both Python 2 and Python 3 pip list | grep tensorflow will also show the version of Tensorflow installed. For example, I have installed TensorFlow 0.9.0 in a virtualenv for Python 3. So, I get:

May 7, 2016 · The best way of doing so is that it is able to modify tensor directly. Yet, it seems not possible in the current version of Tensorflow. An alternative way is changing tensor to ndarray for the process, and then use tf.convert_to_tensor to change back. The key is …

Jun 18, 2018 · It was tensor of (1, 80, 80, 1). I use matplotlib or PIL to do this, I wanted to see the image after changing to a pie array. But I could not change the tensor to numpy. I could not do anything because of the session even if I used eval (). There is no way to convert tensor to numpy. Can I see the tensor as an image?

Aug 11, 2017 · I am trying to import the TensorFlow library in Python (Anaconda Spyder) on Windows: import tf.contrib.keras.preprocessing It's giving me: No module found tensorflow.contrib.keras.preprocessing ...

Apr 8, 2020 · I have a tensor inps, which has a size of [64, 161, 1] and I have some new data d which has a size of [64, 161]. How can I add d to inps such that the new size is [64, 161, 2]?