Skip to content

P
Paddle

Crayon鑫 / Paddle
与 Fork 源项目一致

Fork自 PaddlePaddle / Paddle

通知 1
Star 1
Fork 0
P
Paddle
未验证 提交 01a3a2e0 编写于 作者: W WeiXin 提交者： GitHub
浏览文件
操作

Modify the name of class in unittest with the same name (#34952) 

* polish unittest.

* polish code

* polish code
上级 8ef1bf87
显示空白变更内容
内联 并排
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): ...@@ -745,173 +745,167 @@ class TestStridedSliceTensorArray(unittest.TestCase):
self.assertFalse(result.place.is_cuda_pinned_place()) self.assertFalse(result.place.is_cuda_pinned_place())
def test_strided_slice_tensor_array(self): def test_strided_slice_tensor_array(self):
class Net(ArrayLayer): class Net01(ArrayLayer):
def array_slice(self, tensors): def array_slice(self, tensors):
return tensors[::-1] 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): def array_slice(self, tensors):
return tensors[::-2] 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): def array_slice(self, tensors):
return tensors[::-3] 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): def array_slice(self, tensors):
return tensors[1::-4] 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): def array_slice(self, tensors):
return tensors[:7:-4] 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): def array_slice(self, tensors):
return tensors[8:0:-4] 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): def array_slice(self, tensors):
return tensors[8:1:-4] 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): def array_slice(self, tensors):
return tensors[::2] 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): def array_slice(self, tensors):
return tensors[::3] 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): def array_slice(self, tensors):
return tensors[1::4] 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): def array_slice(self, tensors):
return tensors[:8:4] 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): def array_slice(self, tensors):
return tensors[1:8:4] 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): def array_slice(self, tensors):
return tensors[8:10:4] 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): def array_slice(self, tensors):
return tensors[3:10:4] 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): def array_slice(self, tensors):
return tensors[2:10:4] 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): def array_slice(self, tensors):
return tensors[3:10:3] 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): def array_slice(self, tensors):
return tensors[3:15:3] 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): def array_slice(self, tensors):
return tensors[0:15:3] 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): def array_slice(self, tensors):
return tensors[-1:-5:-3] 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): def array_slice(self, tensors):
return tensors[-1:-6:-3] 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): def array_slice(self, tensors):
return tensors[-3:-6:-3] 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 Net22(ArrayLayer):
class Net(ArrayLayer):
def array_slice(self, tensors): def array_slice(self, tensors):
return tensors[-5:-1:3] 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): def array_slice(self, tensors):
return tensors[-6:-1:3] 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): def array_slice(self, tensors):
return tensors[-6:-3:3] 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): def array_slice(self, tensors):
return tensors[0::3] 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): def array_slice(self, tensors):
return tensors[-60:20:3] 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): def array_slice(self, tensors):
return tensors[-3:-60:-3] return tensors[-3:-60:-3]
self.create_case(Net(input_size=112, array_size=13)) self.create_case(Net27(input_size=112, array_size=13))
class Net(ArrayLayer):
def array_slice(self, tensors):
return tensors[-1:-60:-3]
if __name__ == "__main__": if __name__ == "__main__":
......
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或