Fix unused-variables warnings about EmbeddingBag ops

According to the documentation for
`torch.embedding_bag` (https://pytorch.org/docs/stable/generated/torch.nn.functional.embedding_bag.html),
the default value for `scale_grad_by_freq` is False.

lib/Conversion/TorchToLinalg/IndirectDataMovement.cpp

@@ -223,6 +223,18 @@ class ConvertAtenEmbeddingBagPaddingIdxOp
     Value sparse = op.sparse();
     Value includeLastOffset = op.include_last_offset();
 
+    bool scaleGradByFreqBool;
+    if (!matchPattern(scaleGradByFreq,
+                      m_TorchConstantBool(&scaleGradByFreqBool))) {
+      return rewriter.notifyMatchFailure(
+          op, "scale_grad_by_freq is expected to be a constant boolean value.");
+    }
+
+    if (!scaleGradByFreqBool) {
+      return rewriter.notifyMatchFailure(
+          op, "Unimplemented: scale_grad_by_freq=True.");
+    }
+
     int64_t modeInt;
     if (!matchPattern(mode, m_TorchConstantInt(&modeInt))) {
       return rewriter.notifyMatchFailure(

lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp

@@ -2435,8 +2435,6 @@ class DecomposeAten_EmbeddingBagOp
   using OpRewritePattern::OpRewritePattern;
   LogicalResult matchAndRewrite(Aten_EmbeddingBagOp op,
                                 PatternRewriter &rewriter) const override {
-
-    Location loc = op.getLoc();
     Value weight = op.weight();
     Value indices = op.indices();
     Value offsets = op.offsets();