From b3f68dfef35b5301b6eab0816e3f085efc878393 Mon Sep 17 00:00:00 2001
From: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
Date: Thu, 24 Nov 2022 20:29:35 +0530
Subject: [PATCH] Update xfail_sets.py

---
 e2e_testing/xfail_sets.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/e2e_testing/xfail_sets.py b/e2e_testing/xfail_sets.py
index 599bc8c7e..5024d95b9 100644
--- a/e2e_testing/xfail_sets.py
+++ b/e2e_testing/xfail_sets.py
@@ -50,11 +50,6 @@ TORCHDYNAMO_XFAIL_SET = {
     # RecursionError: maximum recursion depth exceeded
     # RuntimeError: Failed running call_function aten.lift_fresh_copy(...
     "LiftFreshCopyModule_basic",
-    # torch._subclasses.fake_tensor.DynamicOutputShapeException: aten.bincount.default
-    # RuntimeError: Failed running call_function aten.bincount(...
-    "BincountMinlengthModule_basic",
-    "BincountModule_basic",
-    "BincountStaticSizeModule_basic",
     # TypeError: new_empty(): argument 'size' (position 1) must be tuple of ints, but found element of type NoneType at pos 0
     # RuntimeError: Failed running call_function aten.convolution_backward(...
     "ConvolutionBackwardModule2DPadded_basic",
@@ -67,11 +62,6 @@ TORCHDYNAMO_XFAIL_SET = {
     "NllLossModuleBackward1DSum_basic",
     "NllLossModuleBackward1DWeight_basic",
     "NllLossModuleBackward1D_basic",
-    # torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default
-    # RuntimeError: Failed running call_module self_quantize(...
-    "QuantizedMLP_basic",
-    "ScalarImplicitFloatModule_basic",
-    "ScalarImplicitIntModule_basic",
     # Decomposition assertion:
     # assert device is not None or dtype is not None or memory_format is not None
     "ToCopyModule_basic",