* Workaround for Issue 521, remove createTosaToStandard from Passes.cpp and

  disable ElementwisePowModule_basic
* Update nll_loss_forward to align to the change in PyTorch

Signed-off-by: Anup Gangwar <[email protected]>

Author: Anup Gangwar

e2e_testing/torchscript/nll_loss.py

@@ -25,7 +25,7 @@ def __init__(self):
   ])
   # Here the 2nd index is ignored.
   def forward(self, x, y):
-    return torch.ops.aten.nll_loss_forward(self=x,
+    return torch.ops.aten.nll_loss_forward(x,
                                            target=y,
                                            weight=None,
                                            reduction=0,
@@ -50,7 +50,7 @@ def __init__(self):
   ])
   # None of the index is ignored here, since the ignored index is out of bounds.
   def forward(self, x, y):
-    return torch.ops.aten.nll_loss_forward(self=x,
+    return torch.ops.aten.nll_loss_forward(x,
                                            target=y,
                                            weight=None,
                                            reduction=0,

e2e_testing/torchscript/xfail_sets.py

@@ -50,5 +50,4 @@
     "SqueezeDimModule_identity",
     "SqueezeDimModule_unitDim",
     "ReturnTwoTensorF32I64_basic",
-    "ElementwisePowModule_basic",
 }

lib/Dialect/TorchConversion/Transforms/Passes.cpp

@@ -102,9 +102,6 @@ void TorchConversion::createTorchBackendToTosaBackendPipeline(
     pm.addNestedPass<FuncOp>(createCSEPass());
   }
 
-  // Add the ToStandard pass for lowering some ops
-  pm.addNestedPass<FuncOp>(createTosaToStandard());
-
   // Finish the type conversion from `torch` types to the types of the
   // TOSA backend contract.
   pm.addPass(TorchConversion::createFuncBackendTypeConversionPass());