If I have a 1D tensor (distinct from an array) with the values [0,2,0,1,-3], my goal is to retrieve only the non-zero values. Using the example provided, I want to receive [2,1,-3] as the output. Is there a way to achieve this in TensorFlow.js?
If I have a 1D tensor (distinct from an array) with the values [0,2,0,1,-3], my goal is to retrieve only the non-zero values. Using the example provided, I want to receive [2,1,-3] as the output. Is there a way to achieve this in TensorFlow.js?
To begin, we must identify the positions of the non-zero values by applying tf.whereAsync to the tensor that has been converted to type bool. This allows us to capture all values other than 0 as true, and gather their respective indexes.
Using tf.gather, a new tensor is constructed by selecting the values based on the previously obtained indexes.
t = tf.tensor1d([0,2,0,1,-3])
indices = await tf.whereAsync(t.cast('bool'))
tf.gather(t, indices.reshape([-1])).print()
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