[onnx] add support for onnx.LessOrEqual (#2639)

Added the less or equal operation to OnnxToTorch. 
onnx.LessOrEqual

---------

Co-authored-by: root <[email protected]>

Author: afalkenberg1

lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp

@@ -39,4 +39,17 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP(
                       binder.op, resultType, lhs, rhs);
                   return success();
                 });
-}
+  patterns.onOp("LessOrEqual", 1,
+                [](OpBinder binder, ConversionPatternRewriter &rewriter) {
+                  Torch::ValueTensorType resultType;
+                  Value lhs, rhs;
+                  if (binder.tensorOperands(lhs, rhs) ||
+                      binder.tensorResultType(resultType)) {
+                    return failure();
+                  }
+                  rewriter.replaceOpWithNewOp<Torch::AtenLeTensorOp>(
+                      binder.op, resultType, lhs, rhs);
+		              return success();
+                });
+
+}

test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir

@@ -23,4 +23,13 @@ func.func @test_matmul_4d(%arg0: !torch.vtensor<[1,2,3,4],f32>, %arg1: !torch.vt
   // CHECK: torch.aten.matmul %arg0, %arg1 : !torch.vtensor<[1,2,3,4],f32>, !torch.vtensor<[1,2,4,3],f32> -> !torch.vtensor<[1,2,3,3],f32>
   %0 = torch.operator "onnx.MatMul"(%arg0, %arg1) : (!torch.vtensor<[1,2,3,4],f32>, !torch.vtensor<[1,2,4,3],f32>) -> !torch.vtensor<[1,2,3,3],f32>
   return %0 : !torch.vtensor<[1,2,3,3],f32>
+}
+
+// CHECK-LABEL: func.func @test_less_or_equal
+func.func @test_less_or_equal(%arg0: !torch.vtensor<[3,4,5],f32>, %arg1: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],i1> attributes {torch.onnx_meta.ir_version = 7 : si64, torch.onnx_meta.opset_version = 13 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
+  // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: !torch.vtensor<[3,4,5],f32>
+  // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: !torch.vtensor<[3,4,5],f32>
+  // CHECK: torch.aten.le.Tensor %[[ARG0]], %[[ARG1]] : !torch.vtensor<[3,4,5],f32>, !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],i1>
+  %0 = torch.operator "onnx.LessOrEqual"(%arg0, %arg1) : (!torch.vtensor<[3,4,5],f32>, !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],i1>
+  return %0 : !torch.vtensor<[3,4,5],i1>
 }