Filter tests for TOSA and ONNX. Fix deprecation warnings

Author: Hariprasad Ravishankar

lib/Conversion/TorchToLinalg/Linear.cpp

@@ -1594,8 +1594,8 @@ Value ConvertAtenConvolutionOp::createTransposedInputPadding(
       // Make the negative value positive by multiplying by -1.
       anyDimensionPaddingIsNegative = true;
       auto offsetType = offset.getType();
-      auto negOneConst = rewriter.createOrFold<arith::ConstantOp>(
-          loc, offsetType, rewriter.getIntegerAttr(offsetType, -1));
+      auto negOneConst = arith::ConstantOp::create(
+          rewriter, loc, rewriter.getIntegerAttr(offsetType, -1));
       auto posOffset =
           rewriter.createOrFold<arith::MulIOp>(loc, offset, negOneConst);
 
@@ -1626,10 +1626,10 @@ Value ConvertAtenConvolutionOp::createTransposedInputPadding(
     for (size_t i = 0; i < numSpatialDims; ++i) {
       Value innerDim = innerSizes[i + 2];
       Value outerDim = outerSizes[i + 2];
-      Value isPadding = rewriter.create<arith::CmpIOp>(
+      Value isPadding = rewriter.createOrFold<arith::CmpIOp>(
           loc, arith::CmpIPredicate::ugt, outerDim, innerDim);
-      Value maxDim =
-          rewriter.create<arith::SelectOp>(loc, isPadding, outerDim, innerDim);
+      Value maxDim = rewriter.createOrFold<arith::SelectOp>(loc, isPadding,
+                                                            outerDim, innerDim);
       maxSizes.push_back(maxDim);
     }
 

projects/pt1/e2e_testing/xfail_sets.py

@@ -3961,7 +3961,9 @@
     "TraceModule_empty",
     "TraceUnsignedIntModule_empty",
     "TransposedConv1dNegativePadding_basic",
+    "TransposedConv1dNegativePaddingLarge_basic",
     "TransposedConv2dNegativePadding_basic",
+    "TransposedConv2dPositiveAndNegativePadding_basic",
     "TransposedConv3dNegativePadding_basic",
     "UnsafeViewCollapseDynamicWithAtenSizeIntModule_basic",
     "InterpolateDynamicModule_sizes_nearest",
@@ -5039,7 +5041,9 @@
     "TraceUnsignedIntModule_basic",
     "TraceUnsignedIntModule_empty",
     "TransposedConv1dNegativePadding_basic",
+    "TransposedConv1dNegativePaddingLarge_basic",
     "TransposedConv2dNegativePadding_basic",
+    "TransposedConv2dPositiveAndNegativePadding_basic",
     "TransposedConv3dNegativePadding_basic",
     "TupleModule_basic",
     "TypeAsDifferentModule_basic",

projects/pt1/python/torch_mlir_e2e_test/test_suite/conv.py

@@ -2002,7 +2002,7 @@ def TransposedConv1dNegativePadding_basic(module, tu: TestUtils):
     module.forward(tu.rand(1, 1, 7), tu.rand(1, 2, 3), tu.rand(2))
 
 
-class ConvTranspose1dNegativePaddingLarge(torch.nn.Module):
+class TransposedConv1dNegativePaddingLarge(torch.nn.Module):
     def __init__(self):
         super().__init__()
 
@@ -2029,8 +2029,8 @@ def forward(self, inputVec, weight, bias):
         )
 
 
-@register_test_case(module_factory=lambda: ConvTranspose1dNegativePaddingLarge())
-def ConvTranspose1dNegativePaddingLarge_basic(module, tu: TestUtils):
+@register_test_case(module_factory=lambda: TransposedConv1dNegativePaddingLarge())
+def TransposedConv1dNegativePaddingLarge_basic(module, tu: TestUtils):
     module.forward(tu.rand(1, 17, 5), tu.rand(17, 6, 3), tu.rand(6))