Check for indentical rows in a numpy arrays

Question

I have 2 numpy arrays: points = np.array([[253, 1472], [301 1956], [796, 1011], [3, 2179], [759, 844], [485, 1053], [312, 1536], [485, 1505], [313, 1304], [357, 1434]]) and coords which basically contains all of the coordinates from [0, 0] to [2000, 2000]. I want to return indices of the coords array which contain exactly the values from points. I tried the solution from here: check for identical rows in different numpy arrays, so using this function: res = (coords[:, None] == points).all(-1).any(-1). However in this case this does not match the value [485, 1505]. I suppose it is because there is another value with the same x coordinate. This is suprising for me that there is no ready numpy function for exactly that purpose. I tried everything but I don't achieve the wanted result.