minimal change to frontend torch pooling functions tests (ivy-llc#22185)

Co-authored-by: Mohammed <[email protected]>
soumesh113 · Aug 19, 2023 · d288ea4 · d288ea4
1 parent 7bb63a0
commit d288ea4
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/...ests/test_ivy/test_frontends/test_torch/test_nn/test_functional/test_pooling_functions.py b/...ests/test_ivy/test_frontends/test_torch/test_nn/test_functional/test_pooling_functions.py
@@ -68,7 +68,7 @@ def test_torch_avg_pool1d(
     # TODO: remove the processing of padding attribute when ivy.avg_pool
     #   support explicit padding
     x_shape = [x[0].shape[2]]
-    padding = (pad[i] for i, pad in enumerate(padding))
+    padding = [pad[i] for i, pad in enumerate(padding)]
     # figuring out the exact kernel_size for SAME and VALID padding
     # As ivy.avg_pool1d doesn't support explicit padding scheme
     if not sum(padding) == 0:
@@ -118,7 +118,7 @@ def test_torch_avg_pool2d(
     input_dtype, x, kernel_size, stride, padding = dtype_x_k_s
     # TODO: remove the processing of padding attribute when ivy.avg_pool
     #   support explicit padding
-    padding = (pad[i] for i, pad in enumerate(padding))
+    padding = [pad[i] for i, pad in enumerate(padding)]
     x_shape = x[0].shape[2:]
     if not sum(padding) == 0:
         padding = calculate_same_padding(kernel_size, [stride[0]] * 2, x_shape)