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“dd275522eb0519d04843dab97bc625b2dc975aad”上不存在“doc/design/cluster_train/src/paddle-task-queues.graffle”
未验证 提交 01a3a2e0 编写于 作者: W WeiXin 提交者： GitHub
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Modify the name of class in unittest with the same name (#34952) 

* polish unittest.

* polish code

* polish code
上级 8ef1bf87
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Showing with 54 addition and 60 deletion
python/paddle/fluid/tests/unittests/test_strided_slice_op.py
浏览文件 @ 01a3a2e0
......@@ -745,173 +745,167 @@ class TestStridedSliceTensorArray(unittest.TestCase):
self.assertFalse(result.place.is_cuda_pinned_place())
def test_strided_slice_tensor_array(self):
class Net(ArrayLayer):
class Net01(ArrayLayer):
def array_slice(self, tensors):
return tensors[::-1]
self.create_case(Net(array_size=10))
self.create_case(Net01(array_size=10))
class Net(ArrayLayer):
class Net02(ArrayLayer):
def array_slice(self, tensors):
return tensors[::-2]
self.create_case(Net(input_size=112, array_size=11))
self.create_case(Net02(input_size=112, array_size=11))
class Net(ArrayLayer):
class Net03(ArrayLayer):
def array_slice(self, tensors):
return tensors[::-3]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net03(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net04(ArrayLayer):
def array_slice(self, tensors):
return tensors[1::-4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net04(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net05(ArrayLayer):
def array_slice(self, tensors):
return tensors[:7:-4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net05(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net06(ArrayLayer):
def array_slice(self, tensors):
return tensors[8:0:-4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net06(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net07(ArrayLayer):
def array_slice(self, tensors):
return tensors[8:1:-4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net07(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net08(ArrayLayer):
def array_slice(self, tensors):
return tensors[::2]
self.create_case(Net(input_size=112, array_size=11))
self.create_case(Net08(input_size=112, array_size=11))
class Net(ArrayLayer):
class Net09(ArrayLayer):
def array_slice(self, tensors):
return tensors[::3]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net09(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net10(ArrayLayer):
def array_slice(self, tensors):
return tensors[1::4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net10(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net11(ArrayLayer):
def array_slice(self, tensors):
return tensors[:8:4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net11(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net12(ArrayLayer):
def array_slice(self, tensors):
return tensors[1:8:4]
self.create_case(Net(input_size=112, array_size=9))
self.create_case(Net12(input_size=112, array_size=9))
class Net(ArrayLayer):
class Net13(ArrayLayer):
def array_slice(self, tensors):
return tensors[8:10:4]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net13(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net14(ArrayLayer):
def array_slice(self, tensors):
return tensors[3:10:4]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net14(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net15(ArrayLayer):
def array_slice(self, tensors):
return tensors[2:10:4]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net15(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net16(ArrayLayer):
def array_slice(self, tensors):
return tensors[3:10:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net16(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net17(ArrayLayer):
def array_slice(self, tensors):
return tensors[3:15:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net17(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net18(ArrayLayer):
def array_slice(self, tensors):
return tensors[0:15:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net18(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net19(ArrayLayer):
def array_slice(self, tensors):
return tensors[-1:-5:-3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net19(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net20(ArrayLayer):
def array_slice(self, tensors):
return tensors[-1:-6:-3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net20(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net21(ArrayLayer):
def array_slice(self, tensors):
return tensors[-3:-6:-3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net21(input_size=112, array_size=13))
self.create_case(Net(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net22(ArrayLayer):
def array_slice(self, tensors):
return tensors[-5:-1:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net22(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net23(ArrayLayer):
def array_slice(self, tensors):
return tensors[-6:-1:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net23(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net24(ArrayLayer):
def array_slice(self, tensors):
return tensors[-6:-3:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net24(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net25(ArrayLayer):
def array_slice(self, tensors):
return tensors[0::3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net25(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net26(ArrayLayer):
def array_slice(self, tensors):
return tensors[-60:20:3]
self.create_case(Net(input_size=112, array_size=13))
self.create_case(Net26(input_size=112, array_size=13))
class Net(ArrayLayer):
class Net27(ArrayLayer):
def array_slice(self, tensors):
return tensors[-3:-60:-3]
self.create_case(Net(input_size=112, array_size=13))
class Net(ArrayLayer):
def array_slice(self, tensors):
return tensors[-1:-60:-3]
self.create_case(Net27(input_size=112, array_size=13))
if __name__ == "__main__":
......
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