fix function-redefined (#34517)

PaddlePaddle · Aug 2, 2021 · a6f55e4 · a6f55e4
1 parent 41e2d41
commit a6f55e4
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Showing 3 changed files with 4 additions and 10 deletions.
diff --git a/python/paddle/fluid/tests/unittests/test_bicubic_interp_v2_op.py b/python/paddle/fluid/tests/unittests/test_bicubic_interp_v2_op.py
@@ -517,7 +517,7 @@ def test_size_type():
                 out = interpolate(
                     x, size={2, 2}, mode='bicubic', align_corners=False)
 
-            def test_input_shape():
+            def test_input_shape_1():
                 x = fluid.data(name="x", shape=[2, 1, 0, 0], dtype="float32")
                 out = interpolate(
                     x, size=[3, 3], mode="bicubic", align_corners=False)
@@ -539,7 +539,7 @@ def test_input_shape():
             self.assertRaises(ValueError, test_size_and_scale)
             self.assertRaises(ValueError, test_size_and_scale2)
             self.assertRaises(TypeError, test_size_type)
-            self.assertRaises(ValueError, test_input_shape)
+            self.assertRaises(ValueError, test_input_shape_1)
 
 
 if __name__ == "__main__":

diff --git a/python/paddle/fluid/tests/unittests/test_cross_entropy_loss.py b/python/paddle/fluid/tests/unittests/test_cross_entropy_loss.py
@@ -23,12 +23,6 @@
 from paddle.fluid import Program, program_guard
 
 
-def stable_softmax(x):
-    shiftx = (x - np.max(x)).clip(-64.)
-    exps = np.exp(shiftx)
-    return exps / np.sum(exps)
-
-
 def log_softmax(x, axis=-1):
     softmax_out = np.apply_along_axis(stable_softmax, axis, x)
     return np.log(softmax_out)

diff --git a/python/paddle/fluid/tests/unittests/test_linspace.py b/python/paddle/fluid/tests/unittests/test_linspace.py
@@ -133,10 +133,10 @@ def test_dtype():
 
             self.assertRaises(TypeError, test_dtype)
 
-            def test_dtype():
+            def test_dtype1():
                 fluid.layers.linspace(0, 10, 1.33, dtype="int32")
 
-            self.assertRaises(TypeError, test_dtype)
+            self.assertRaises(TypeError, test_dtype1)
 
             def test_start_type():
                 fluid.layers.linspace([0], 10, 1, dtype="float32")