diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
index 6df4857ec3..7d78fea8b9 100644
--- a/.github/workflows/codeql-analysis.yml
+++ b/.github/workflows/codeql-analysis.yml
@@ -64,6 +64,9 @@ jobs:
 
     - name: Build
       run: |
+        rm -rf /opt/hostedtoolcache/{node,go,Ruby,Java*}
+        ls -al /opt/hostedtoolcache
+        rm -rf /usr/share/dotnet/
         python -m pip install -U pip wheel
         python -m pip install -r requirements-dev.txt
         BUILD_MONAI=1 ./runtests.sh --build
diff --git a/tests/test_selfattention.py b/tests/test_selfattention.py
index 13054bd561..6062b5352f 100644
--- a/tests/test_selfattention.py
+++ b/tests/test_selfattention.py
@@ -62,7 +62,7 @@ def test_access_attn_matrix(self):
         # be  not able to access the matrix
         no_matrix_acess_blk = SABlock(hidden_size=hidden_size, num_heads=num_heads, dropout_rate=dropout_rate)
         no_matrix_acess_blk(torch.randn(input_shape))
-        assert type(no_matrix_acess_blk.att_mat) == torch.Tensor
+        assert isinstance(no_matrix_acess_blk.att_mat, torch.Tensor)
         # no of elements is zero
         assert no_matrix_acess_blk.att_mat.nelement() == 0
 
diff --git a/tests/test_transformerblock.py b/tests/test_transformerblock.py
index a966dcbfdc..914336668d 100644
--- a/tests/test_transformerblock.py
+++ b/tests/test_transformerblock.py
@@ -66,7 +66,7 @@ def test_access_attn_matrix(self):
             hidden_size=hidden_size, mlp_dim=mlp_dim, num_heads=num_heads, dropout_rate=dropout_rate
         )
         no_matrix_acess_blk(torch.randn(input_shape))
-        assert type(no_matrix_acess_blk.attn.att_mat) == torch.Tensor
+        assert isinstance(no_matrix_acess_blk.attn.att_mat, torch.Tensor)
         # no of elements is zero
         assert no_matrix_acess_blk.attn.att_mat.nelement() == 0
 
diff --git a/tests/test_vit.py b/tests/test_vit.py
index d193e6d222..f911c2d5c9 100644
--- a/tests/test_vit.py
+++ b/tests/test_vit.py
@@ -160,7 +160,7 @@ def test_access_attn_matrix(self):
         # no data in the matrix
         no_matrix_acess_blk = ViT(in_channels=in_channels, img_size=img_size, patch_size=patch_size)
         no_matrix_acess_blk(torch.randn(in_shape))
-        assert type(no_matrix_acess_blk.blocks[0].attn.att_mat) == torch.Tensor
+        assert isinstance(no_matrix_acess_blk.blocks[0].attn.att_mat, torch.Tensor)
         # no of elements is zero
         assert no_matrix_acess_blk.blocks[0].attn.att_mat.nelement() == 0