23.01.2020 · AttributeError: 'Tensor' object has no attribute 'log_prob' tensorflow/tensorflow#36181. Open nbro changed the title InvalidArgumentError: slice index -1 of dimension 0 out of bounds AttributeError: 'Tensor' object …
26.12.2021 · I am having an issue with no gradients being returned by tape.gradients(loss , model.trainable_variables) , i have already looked at other questions and have been trouble shooting for weeks.
11.07.2018 · Lambda layers in Keras help you to implement functionality that is not prebuilt and which do not require trainable weights. So you get this liberty to …
Hi everybody! I'm using tensorflow 2.3 and I'm having an issue when i try to call a function that returns a keras.Model . AttributeError: 'Tensor' object has no attribute 'numpy' Tensorflow 2.3
Ask questions AttributeError: 'Tensor' object has no attribute 'log_prob' The following code. import tensorflow as tf import tensorflow_probability as tfp from tensorflow_probability import distributions as tfd def get_mnist_data(normalize=True): img_rows, img_cols = 28, 28 (x_train, y_train), (x_test, y ...
Getting AttributeError: 'Tensor' object has no attribute 'log_prob' while saving a tensorflow model. Ask Question Asked 1 year, 6 months ago. Active 1 year, 1 month ago. Viewed 575 times 4 I am trying to save a variational autoencoder built using TensorFlow and Tensorflow probability. My goal is to serve the ...
15.02.2019 · I guess you are passing your output directly to your criterion, which seems to be nn.CrossEntropyLoss. Note that your model returns two outputs, i.e. out and self.hidden. You could assign two output variables to your model’s output:
09.07.2021 · import theano.tensor as T import numpy as np import theano from tensorflow.keras import backend as K from keras.engine.topology import Layer from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams floatX = theano.config.floatX
24.01.2020 · AttributeError: 'Tensor' object has no attribute 'log_prob' I have updated the original issues (above and in the other issue tracker), so I suggest you remove the other comments above regarding the other issue (which was just a programming mistake).