AttributeError: Tensor.op is meaningless when eager execution is enabled when using multiple feature inputs in Tensorflow federated. Ask Question. Asked 9 months ago. Active 9 months ago. Viewed 538 times. 1. I have a problem when inputting multiple feature inputs as follows: feature_layer = tf.keras.layers.DenseFeatures (feature_cols) …
It gives an error AttributeError: Tensor.op is meaningless when eager execution is enabled .. For testing, I am inputting a 4-D tensor. conv_diff_size and conv_same_size are two custom blocks having con2d and batch-normalization layers. I am using TensorFlow 2..0 on Google Colab.
10/16/2019 · AttributeError: Tensor.op is meaningless when eager execution is enabled . The text was updated successfully, but these errors were encountered: Yuvaraj8blr changed the title Tensor.op is meaningless when eager execution is enabled when using tf.compat.v1 RNN cells Tensor.op is meaningless when eager execution is enabled , when using tf.compat.v1 …
4/11/2019 · Tensor.graph is meaningless when eager execution is enabled .) @ property: def name (self): raise AttributeError ( Tensor.name is meaningless when eager execution is enabled .) @ property: def value_index (self): raise AttributeError ( Tensor.value_index is meaningless when eager execution is enabled .) def consumers (self): raise NotImplementedError (, 4/6/2020 · AttributeError: Tensor.op is meaningless when eager execution is enabled . (I’ll note that editing the example to increase the warmup resolves the warning message, but I still see this same AttributeError message.
[Tensorflow 2.0] AttributeError: Tensor .op is meaningless …
Tensorflow 2.0 get error with trivial model: Tensor.op is meaningless wh…, [Tensorflow 2.0] AttributeError: Tensor .op is meaningless …
[Tensorflow 2.0] AttributeError: Tensor .op is meaningless …
4/14/2019 · Tensorflow 2.0 get error with trivial model: Tensor.op is meaningless when eager execution is enabled . #12673 cottrell opened this issue Apr 14, 2019 · 8 comments Assignees, 10/30/2020 · Fantashit October 30, 2020 2 Comments on Tensorflow 2.0 get error with trivial model: Tensor.op is meaningless when eager execution is enabled . I think the following should work since I am not finding any examples of how else to do this. Maybe the variable needs to be created in some kind of session or tf.function?, 7/15/2020 · However, I got the full traceback as follows. Eventually, I get an error ‘AttributeError: Tensor.op is meaningless when eager execution ‘. It seems that there is something wrong with the built model especially the inputs inside the tf.keras.model function.
Ask questions [Tensorflow 2.0] AttributeError: Tensor.op is meaningless when eager execution is enabled .
AttributeError: Tensor.op is meaningless when eager execution is enabled . This is probably the giveaway but frankly I’m just not knowledgeable enough about Tensorflow. I know that I can fix this by passing in a separate tf.ones input to the model (not just into specific layers), but it would complicate the code seemingly unnecessarily (I have to do this for multiple layers/variables).
