I am trying Tensorflow 2.0 alpha preview and was testing the Eager execution . My doubt is that if you have a numpy array of variable size in middle like
input.shape (10,) input[0].shape (109, 16) input[1].shape (266, 16)
and so on for the rest of the array , how does one eagerly convert them to tensors.
when I try
tf.convert_to_tensor(input)
or
tf.Variable(input)
I get
ValueError: Failed to convert numpy ndarray to a Tensor (Unable to get element as bytes.).
Converting each sub-array works , but because the sub-array size isn’t same , tf.stack doesn’t work.
Any help or suggestions ?
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Answer
This was happening to me in eager as well. Looking at the docs here , I ended up trying
tf.convert_to_tensor(input, dtype=tf.float32)
And that worked for me.