issue/228: 更新测试

src/infiniop-test/src/ops/clip.cpp

@@ -98,7 +98,7 @@ std::vector<std::string> Test::tensor_names() {
 }
 
 std::vector<std::string> Test::output_names() {
-    return {"y"};
+    return {};
 }
 
 std::string Test::toString() const {

src/infiniop-test/src/ops/random_sample.cpp

@@ -110,7 +110,7 @@ std::vector<std::string> Test::tensor_names() {
 }
 
 std::vector<std::string> Test::output_names() {
-    return {"result"};
+    return {};
 }
 
 std::string Test::toString() const {

test/infiniop-test/test_generate/infiniop_test.py

@@ -37,18 +37,13 @@ def contiguous_gguf_strides(shape: tuple[int, ...]) -> list[int]:
         acc *= size
     return strides[::-1]
 
-def process_zero_stride_tensor(a, b, stride_a=None, stride_b=None):
-    def normalize_stride(tensor, stride):
+def process_zero_stride_tensor(tensor, stride=None):
     if stride:
         slices = tuple(slice(0, 1) if s == 0 else slice(None) for s in stride)
         return tensor[slices]
     else:
         return tensor
 
-    a_unique = normalize_stride(a, stride_a)
-    b_unique = normalize_stride(b, stride_b)
-    return a_unique, b_unique
-
 class InfiniopTestCase:
     op_name: str
 

test/infiniop-test/test_generate/testcases/add.py

@@ -100,7 +100,8 @@ if __name__ == "__main__":
             a = np.random.rand(*shape).astype(dtype)
             b = np.random.rand(*shape).astype(dtype)
             c = np.empty(tuple(0 for _ in shape), dtype=dtype)
-            a, b = process_zero_stride_tensor(a, b, stride_a, stride_b)
+            a = process_zero_stride_tensor(a, stride_a)
+            b = process_zero_stride_tensor(b, stride_b)
             test_case = AddTestCase(
                 a=a,
                 shape_a=shape,

test/infiniop-test/test_generate/testcases/swiglu.py

@@ -102,7 +102,8 @@ if __name__ == "__main__":
             a = np.random.rand(*shape).astype(dtype)
             b = np.random.rand(*shape).astype(dtype)
             c = np.empty(tuple(0 for _ in shape), dtype=dtype)
-            a, b = process_zero_stride_tensor(a, b, stride_a, stride_b)
+            a = process_zero_stride_tensor(a, stride_a)
+            b = process_zero_stride_tensor(b, stride_b)
             test_case = SwiGLUTestCase(
                 a=a,
                 shape_a=list(shape),