How to create 4d array with random data using numpy random

Question

My model accepts data in the shape(1, 32, 32, 3), I am looking for a way to pass the data using np.array from numpy. Any help on this will be appreciated please

@rochard4u my shape of the input data is shape": [1, 32, 32, 3] and datatype is fp32 — Mahesh
– Mahesh, Commented Jun 5, 2023 at 15:22
@Mahesh just assign it to a variable. It will be your numpy array. arr=np.random.rand(1, 32, 32, 3). So now arr is your numpy array with shape (1, 32, 32, 3) — Talha Tayyab
– Talha Tayyab, Commented Jun 5, 2023 at 15:50

amycodes · Accepted Answer · 2023-06-05 18:01:49Z

2

Your data right now is a one-dimensional array you want to convert your input data to a 4-dimensional array? Because a 4d array is a matrice of matrices the data input you have right now looks like a singular index within a matrix of the bigger matrix of matrixes. to create a 4d array it just:

a = np.random.rand(1, 32, 32, 3)

to get something better we need the structure of your data

edited Jun 5, 2023 at 18:01

amycodes

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answered Jun 5, 2023 at 15:33

Lorenzo Garduno

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