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@kevashcraft
Created February 7, 2020 18:42
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Iterating Through TF Dataset
# if dataset is not batched
# this will take 1 example
with (ambient, target), label in dataset.take(1):
print("ambient shape", ambient.shape)
print("target shape", target.shape)
print("label shape", label.shape)
ambient_array = ambient.numpy()
target_array = target.numpy()
label_array = label.numpy()
# if dataset is batched
# this will take 1 batch
with features, labels in dataset.take(1):
# features is a tuple of tensors
ambients = features[0]
targets = features[1]
# get a single example (the first in the batch)
ambient = ambients[0] # tensors can be sliced
target = targets[0] # still a tensor until .numpy() is called
print("ambient shape", ambient.shape)
print("target shape", target.shape)
print("label shape", label.shape)
ambient_array = ambient.numpy()
target_array = target.numpy()
label_array = label.numpy()
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