Fixed cases where tf.TensorShape was constructed with float dimensions

This is a prerequisite for making TensorShape and Dimension more strict
about the types of their arguments.

PiperOrigin-RevId: 275340768

Author: mn-robot

morph_net/tools/configurable_ops_test.py

@@ -128,7 +128,7 @@ def testSeparableConv2dOp(self):
         self.inputs,
         num_outputs=88,
         kernel_size=3,
-        depth_multiplier=1.0,
+        depth_multiplier=1,
         scope='test')
     self.assertEqual(12, output.shape.as_list()[-1])