adjust test cases for leaky_relu

Author: mindest

tests/test_backend.py

@@ -800,9 +800,9 @@ def test_relu(self):
     @skip_caffe2_backend("fails on caffe2 with dim issue")
     @check_onnxruntime_incompatibility("Mul")
     @check_tf_min_version("1.6")
-    def test_leaky_relu(self):
+    def test_leaky_relu_int(self):
         # starting from tf 1.6, leaky_relu supports `feature` x of int type
-        x_types = [np.float32, np.int32, np.int64]
+        x_types = [np.int32, np.int64]
         for x_type in x_types:
             x_val = 1000 * np.random.random_sample([1000, 100]).astype(x_type)
             for alpha in [0.1, -0.1, 1.0, -1.0]:
@@ -814,9 +814,7 @@ def test_leaky_relu(self):
 
     @skip_caffe2_backend("fails on caffe2 with dim issue")
     @check_onnxruntime_incompatibility("Mul")
-    @check_tf_max_version("1.5")
-    def test_leaky_relu_old(self):
-        # for tf_version <= 1.5, leaky_relu requires `feature` x to be of type `float32`
+    def test_leaky_relu_float(self):
         x_val = 1000 * np.random.random_sample([1000, 100]).astype(np.float32)
         for alpha in [0.1, -0.1, 1.0, -1.0]:
             x = tf.placeholder(x_val.dtype, [None] * x_val.ndim, name=_TFINPUT)