Arm backend: Fix mypy warnings in test_fuse_duplicate...

Fix mypy warning about type.

Signed-off-by: per.held@arm.com
Change-Id: I09a5f75943c12b304a2e4d4ff6af8739021aeb44

Author: perheld

backends/arm/test/passes/test_fuse_duplicate_users_pass.py

@@ -3,7 +3,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-from typing import Tuple
+from typing import Dict, Tuple
 
 import torch
 from executorch.backends.arm._passes import FuseDuplicateUsersPass
@@ -13,7 +13,12 @@
 input_t = Tuple[torch.Tensor]  # Input x
 
 
-class FuseaAvgPool(torch.nn.Module):
+class ModuleWithOps(torch.nn.Module):
+    ops_before_pass: Dict[str, int]
+    ops_after_pass: Dict[str, int]
+
+
+class FuseaAvgPool(ModuleWithOps):
     ops_before_pass = {
         "executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 3,
     }
@@ -27,7 +32,7 @@ def forward(self, x):
         return self.avg(x) + self.avg(x) + self.avg(x)
 
 
-class FuseAvgPoolChain(torch.nn.Module):
+class FuseAvgPoolChain(ModuleWithOps):
     ops_before_pass = {
         "executorch_exir_dialects_edge__ops_aten_avg_pool2d_default": 6,
     }
@@ -44,14 +49,14 @@ def forward(self, x):
         return first + second + third
 
 
-modules = {
+modules: Dict[str, ModuleWithOps] = {
     "fuse_avg_pool": FuseaAvgPool(),
     "fuse_avg_pool_chain": FuseAvgPoolChain(),
 }
 
 
 @common.parametrize("module", modules)
-def test_fuse_duplicate_ops_FP(module: torch.nn.Module):
+def test_fuse_duplicate_ops_FP(module: ModuleWithOps):
     pipeline = PassPipeline[input_t](
         module=module,
         test_data=(torch.ones(1, 1, 1, 1),),