Arm Backend: Updated TosaPipelineBI default qtol (pytorch#10907)

### Summary
* Updates the default qtol=1
* Removes x_fails from test_conv_combos

Author: SaoirseARM

backends/arm/test/ops/test_conv_combos.py

@@ -430,16 +430,8 @@ def test_convolution_2d_tosa_MI_avgpool2d(test_data: torch.Tensor):
     pipeline.run()
 
 
-x_fails = {
-    "combo_conv_avgpool_20_x_4d": "AssertionError: Output 0 does not match reference output.",
-    "combo_conv_avgpool_4d": "AssertionError: Output 0 does not match reference output.",
-    "combo_conv_avgpool_5_x_4d_randn": "AssertionError: Output 0 does not match reference output.",
-    "combo_conv_avgpool_2_x_4d": "AssertionError: Output 0 does not match reference output.",
-}
-
-
 @pytest.mark.flaky(reruns=5)  # TODO: Investigate flakyness (MLTORCH-307)
-@common.parametrize("test_data", ComboConvAvgPool2d.test_data, x_fails)
+@common.parametrize("test_data", ComboConvAvgPool2d.test_data)
 def test_convolution_2d_tosa_BI_avgpool2d(test_data: torch.Tensor):
     model = ComboConvAvgPool2d()
     pipeline = TosaPipelineBI[input_t1](

backends/arm/test/tester/test_pipeline.py

@@ -282,7 +282,7 @@ def __init__(
         custom_path: str = None,
         atol: float = 1e-03,
         rtol: float = 1e-03,
-        qtol: int = 0,
+        qtol: int = 1,
     ):
         tosa_profiles = {
             "0.80": TosaSpecification.create_from_string("TOSA-0.80+BI"),