rm sample module (#8)

(cherry picked from commit 4071ba78b7)

tests/test_sample_module.py

@@ -1,12 +0,0 @@
-import pytest
-
-from torchmetrics.sample_module import my_sample_func
-
-
-@pytest.mark.parametrize('a,b,expected', [
-    pytest.param(1, 2, 3),
-    pytest.param(-1, 1., 0),
-])
-def test_sample_func(a, b, expected):
-    """Sample test case with parametrization."""
-    assert my_sample_func(a, b) == expected

torchmetrics/sample_module.py

@@ -1,15 +0,0 @@
-"""
-Sample...
-"""
-
-
-def my_sample_func(a: int, b: float) -> float:
-    """Sample function.
-
-    Doctest are good for creating examples in dcos and also hawing soma basic code coverage...
-
-    Example:
-        >>> my_sample_func(1, 1.5)
-        2.5
-    """
-    return a + b