zeroslike
Zeroslike is a function used in numerical computing to create a new array or tensor filled with zeros that matches the shape of a given input. The concept is widely implemented across libraries, where the function is typically named zeros_like, though terminology may vary. Its core purpose is to produce an output with the same dimensions as the input, while optionally controlling data type and device.
In NumPy, zeros_like(a, dtype=None, order='K', subok=True) returns an array of zeros with the same shape as a,
Common usage includes allocating an output array for in-place operations, initializing gradients, or setting up buffers
Related functions include ones_like, full_like, and zeros with an explicit shape. zeros_like differs from zeros in