diff --git a/lib/Conversion/TorchToStablehlo/Basic.cpp b/lib/Conversion/TorchToStablehlo/Basic.cpp
index 1c4bc2753..0c3cc85b7 100644
--- a/lib/Conversion/TorchToStablehlo/Basic.cpp
+++ b/lib/Conversion/TorchToStablehlo/Basic.cpp
@@ -1060,6 +1060,49 @@ LogicalResult ConvertAtenOp<AtenGeluOp>::matchAndRewrite(
   return success();
 }
 
+// AtenLog2Op
+template <>
+LogicalResult ConvertAtenOp<AtenLog2Op>::matchAndRewrite(
+    AtenLog2Op op, OpAdaptor adaptor,
+    ConversionPatternRewriter &rewriter) const {
+  Value input = adaptor.getSelf();
+  auto inputTy = input.getType().template dyn_cast<RankedTensorType>();
+  if (!inputTy) {
+    return op.emitError("only ranked tensor type is supported.");
+  }
+  auto outTy = getTypeConverter()->convertType(op.getType()).cast<TensorType>();
+  input = hlo::promoteType(rewriter, op.getLoc(), input, outTy);
+
+  auto two = getConstantLike(rewriter, op.getLoc(), 2.0, input);
+  auto log2Op = rewriter.create<stablehlo::LogOp>(op.getLoc(), two);
+  auto logInputOp = rewriter.create<stablehlo::LogOp>(op.getLoc(), input);
+
+  rewriter.replaceOpWithNewOp<stablehlo::DivOp>(op, outTy, logInputOp, log2Op);
+  return success();
+}
+
+// AtenLog10Op
+template <>
+LogicalResult ConvertAtenOp<AtenLog10Op>::matchAndRewrite(
+    AtenLog10Op op, OpAdaptor adaptor,
+    ConversionPatternRewriter &rewriter) const {
+  Value input = adaptor.getSelf();
+  auto inputTy = input.getType().template dyn_cast<RankedTensorType>();
+  if (!inputTy) {
+    return op.emitError("only ranked tensor type is supported.");
+  }
+
+  auto outTy = getTypeConverter()->convertType(op.getType()).cast<TensorType>();
+  input = hlo::promoteType(rewriter, op.getLoc(), input, outTy);
+
+  auto ten = getConstantLike(rewriter, op.getLoc(), 10.0, input);
+  auto log10Op = rewriter.create<stablehlo::LogOp>(op.getLoc(), ten);
+  auto logInputOp = rewriter.create<stablehlo::LogOp>(op.getLoc(), input);
+
+  rewriter.replaceOpWithNewOp<stablehlo::DivOp>(op, outTy, logInputOp, log10Op);
+  return success();
+}
+
 // AtenErfOp
 template <>
 LogicalResult ConvertAtenOp<AtenErfOp>::matchAndRewrite(
@@ -2028,6 +2071,8 @@ void mlir::torch::torch_to_stablehlo::populateBasicOpPatternsAndLegality(
 
   INSERT_ATENOP_PATTERN(AtenReluOp);
   INSERT_ATENOP_PATTERN(AtenGeluOp);
+  INSERT_ATENOP_PATTERN(AtenLog2Op);
+  INSERT_ATENOP_PATTERN(AtenLog10Op);
   INSERT_ATENOP_PATTERN(AtenErfOp);
   INSERT_ATENOP_PATTERN(AtenGeluBackwardOp);
 
diff --git a/projects/pt1/e2e_testing/xfail_sets.py b/projects/pt1/e2e_testing/xfail_sets.py
index 80ab03566..11f3d5a83 100644
--- a/projects/pt1/e2e_testing/xfail_sets.py
+++ b/projects/pt1/e2e_testing/xfail_sets.py
@@ -641,10 +641,6 @@ FX_IMPORTER_STABLEHLO_XFAIL_SET = {
     "ElementwiseDequantizePerChannelModule_basic",
     "ElementwiseDequantizePerTensorModule_basic",
     "ElementwiseErfIntModule_basic",
-    "ElementwiseLog10IntModule_basic",
-    "ElementwiseLog10Module_basic",
-    "ElementwiseLog2IntModule_basic",
-    "ElementwiseLog2Module_basic",
     "ElementwiseLogitModule_basic",
     "ElementwiseMulTensorComplexModule_basic",
     "ElementwisePowScalarModule_basic",
@@ -1046,6 +1042,10 @@ STABLEHLO_PASS_SET = {
     "ElementwiseGeluModule_basic",
     "ElementwiseLeakyReluStaticModule_basic",
     "ElementwiseLogModule_basic",
+    "ElementwiseLog10Module_basic",
+    "ElementwiseLog2Module_basic",
+    "ElementwiseLog10IntModule_basic",
+    "ElementwiseLog2IntModule_basic",
     "ElementwiseNanToNumModule_Basic",
     "ElementwiseNeFloatTensorStaticModule_basic",
     "ElementwiseNeIntTensorStaticModule_basic",