Create a numpy ndarray with the same shape and data as the tensor.
For example:
# Tensor a has shape (2,3)a=tf.constant([[1,2,3],[4,5,6]])proto_tensor=tf.make_tensor_proto(a)# convert `tensor a` to a proto tensortf.make_ndarray(proto_tensor)# output: array([[1, 2, 3],# [4, 5, 6]], dtype=int32)# output has shape (2,3)
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]