[pytorch] Replace "blacklist" in test/test_mobile_optimizer.py

Summary:
This diff addresses #41443.
It is a clone of D23205313 which could not be imported from GitHub
for strange reasons.

Test Plan: Continuous integration.

Reviewed By: AshkanAliabadi

Differential Revision: D23967322

fbshipit-source-id: 1140c9de3c58fd155e40f4e21c7cdf9d927b2ad2

test/test_mobile_optimizer.py

@@ -100,8 +100,8 @@ def forward(self, x):
         torch.testing.assert_allclose(initial_result, optimized_result, rtol=1e-2, atol=1e-3)
 
 
-        optimization_blacklist_no_prepack = {MobileOptimizerType.INSERT_FOLD_PREPACK_OPS}
-        optimized_scripted_model_no_prepack = optimize_for_mobile(scripted_model, optimization_blacklist_no_prepack)
+        optimization_blocklist_no_prepack = {MobileOptimizerType.INSERT_FOLD_PREPACK_OPS}
+        optimized_scripted_model_no_prepack = optimize_for_mobile(scripted_model, optimization_blocklist_no_prepack)
         optimized_result_no_prepack = optimized_scripted_model_no_prepack(input_data)
 
         FileCheck().check_count("Tensor = aten::conv2d", 1, exactly=True) \
@@ -118,14 +118,14 @@ def forward(self, x):
         FileCheck().check_count("prim::CallMethod[name=\"forward\"]", 2, exactly=True) \
                    .run(str(get_forward(bn_scripted_module._c).graph))
 
-        optimization_blacklist_no_prepack = {MobileOptimizerType.INSERT_FOLD_PREPACK_OPS}
-        bn_fold_scripted_module = optimize_for_mobile(bn_scripted_module, optimization_blacklist_no_prepack)
+        optimization_blocklist_no_prepack = {MobileOptimizerType.INSERT_FOLD_PREPACK_OPS}
+        bn_fold_scripted_module = optimize_for_mobile(bn_scripted_module, optimization_blocklist_no_prepack)
         self.assertEqual(len(torch.jit.export_opnames(bn_fold_scripted_module)), 1)
         bn_input = torch.rand(1, 1, 6, 6)
         torch.testing.assert_allclose(bn_scripted_module(bn_input), bn_fold_scripted_module(bn_input), rtol=1e-2, atol=1e-3)
 
-        optimization_blacklist_no_fold_bn = {MobileOptimizerType.CONV_BN_FUSION}
-        no_bn_fold_scripted_module = optimize_for_mobile(bn_scripted_module, optimization_blacklist_no_fold_bn)
+        optimization_blocklist_no_fold_bn = {MobileOptimizerType.CONV_BN_FUSION}
+        no_bn_fold_scripted_module = optimize_for_mobile(bn_scripted_module, optimization_blocklist_no_fold_bn)
         FileCheck().check_count("aten::batch_norm", 1, exactly=True) \
                    .run(str(get_forward_graph(no_bn_fold_scripted_module._c)))
         bn_input = torch.rand(1, 1, 6, 6)