Tensorflow Conv3D with variable input size

I have a hypotethical question: Is it possible to train Conv3D with variable input size?

Sample dim = Length x Width x Depth ; Depth are fixed per each samples, let’s say 500. However Length x Width can vary, e.g.:

Sample 1 = 50 x 4 x 500
Sample 2 = 7 x 7 x 500
Sample 3 = 10 x 13 x 500
…..
Sample n = 5 x 32 x 500

These are for classification problems, the next class could have a different sample size, e.g.:

Sample 4 = 6 x 8 x 500 (from class 2)
Sample 5 = 3 x 32 x 500 (from class 2)
….
Sample m = 10 x 11 x 500 (also from class 2)

Thanks in advance.