Fixed failing ivy test for randint by reverting recent changes and ad…

…justing typecasting (ivy-llc#10592)

ivy/functional/backends/torch/random.py

@@ -104,14 +104,13 @@ def randint(
 ) -> torch.Tensor:
     if not dtype:
         dtype = ivy.default_int_dtype()
-    if not shape:
-        shape = (1,)
     dtype = ivy.as_native_dtype(dtype)
     _randint_check_dtype_and_bound(low, high, dtype)
     shape = _check_bounds_and_get_shape(low, high, shape)
+    rand_range = high - low
     if seed:
         torch.manual_seed(seed)
-    return torch.randint(low=low, high=high, size=shape, device=device, dtype=dtype)
+    return (torch.rand(shape, device=device) * rand_range + low).to(dtype)
 
 
 def seed(*, seed_value: int = 0) -> None: