pypinumpy95% confidence\u2191 109

AttributeError: 'Tensor' object has no attribute 'numpy'

Full error message

I downloaded this code from GitHub.

predicted_id = tf.multinomial(tf.exp(predictions), num_samples=1)[0][0].numpy()

But I get an error that says:

AttributeError: 'Tensor' object has no attribute 'numpy'

What is wrong, and how do I fix it?

Solutionsource: stackoverflow \u2197

I suspect the place where you copied the code from had eager execution enabled, i.e. had invoked tf.enable_eager_execution() at the start of the program. You could do the same. UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. So the answer above applies only to TensorFlow 1.x

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hash \u00b7 ba151c4500fe3a48d8d3e620af242b9de4fce45c05082e5aedb42a42d29c24e5

AttributeError: &#39;Tensor&#39; object has no attribute &#39;numpy&#39;

AttributeError: 'Tensor' object has no attribute 'numpy'