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19.11.2021 · UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. So the answer above applies only to TensorFlow 1.x. Solution 2. This can also happen in TF2.0 if your code is wrapped in a @tf.function or inside a Keras layer.
16.09.2018 · tf.multinomial returns a Tensor object that contains a 2D list with drawn samples of shape [batch_size, num_samples].Calling .eval() on that tensor object is expected to return a numpy ndarray.. Something like this: predicted_id = tf.multinomial(tf.exp(predictions), num_samples=1)[0][0].eval() You also need to ensure that you have a session active (doesn't …
04.04.2019 · AttributeError: 'Tensor' object has no attribute 'numpy' CPU TEST VERSION OF TENSORFLOW 2.0. The text was updated successfully, but these errors were encountered:
22.02.2020 · AttributeError: 'Tensor' object has no attribute 'numpy' I already checked that the output of tf.executing eagerly() is True, A bit of context: I load a tf.data.Dataset from a TFRecords, then I apply a map. The maping function is trying to convert the shape property of one of the dataset sample Tensor to numpy:
I am trying to convert the shape property of a Tensor in Tensorflow 2.1 and I get this error:AttributeError: 'Tensor' object has no attribute 'numpy' I ...
22.02.2020 · AttributeError: 'Tensor' object has no attribute 'numpy' Describe the expected behavior I'd like to be able to access the numpy() property of arguments passed to a mapping function passed to tf.data.Dataset.map Standalone code to reproduce the issue