Support non-constant param input of AvgPoolGrad and Sum.

PiperOrigin-RevId: 179962212

tensorflow/core/grappler/optimizers/layout_optimizer.cc

@@ -926,7 +926,7 @@ class AvgPoolGradProcessor : public NodeProcessor {
  protected:
   std::vector<int> GetInputPos() const override { return {1}; }
   Status CustomizedProcessing() override {
-    return UpdateAttrValueOfInput(0, true);
+    return UpdateOrTransformParamInput(0, "DataFormatVecPermute", DT_INT32);
   }
 };
 
@@ -1062,9 +1062,7 @@ class Conv2DBackpropInputProcessor : public Conv2DProcessor {
   std::vector<int> GetInputPos() const override { return {2}; }
 
   Status CustomizedProcessing() override {
-    TF_RETURN_IF_ERROR(
-        UpdateOrTransformParamInput(0, "DataFormatVecPermute", DT_INT32));
-    return Status::OK();
+    return UpdateOrTransformParamInput(0, "DataFormatVecPermute", DT_INT32);
   }
 };
 
@@ -1371,9 +1369,7 @@ class FillProcessor : public AgnosticNodeProcessor {
 
   Status CustomizedProcessing() override {
     DataType dtype = node_->attr().at("index_type").type();
-    TF_RETURN_IF_ERROR(
-        UpdateOrTransformParamInput(0, "DataFormatVecPermute", dtype));
-    return Status::OK();
+    return UpdateOrTransformParamInput(0, "DataFormatVecPermute", dtype);
   }
 };
 
@@ -1470,9 +1466,7 @@ class PadProcessor : public AgnosticNodeProcessor {
  protected:
   Status CustomizedProcessing() override {
     DataType dtype = node_->attr().at("Tpaddings").type();
-    TF_RETURN_IF_ERROR(
-        UpdateOrTransformParamInput(1, "DataFormatVecPermute", dtype));
-    return Status::OK();
+    return UpdateOrTransformParamInput(1, "DataFormatVecPermute", dtype);
   }
 };
 
@@ -1484,9 +1478,7 @@ class ReverseProcessor : public AgnosticNodeProcessor {
  protected:
   Status CustomizedProcessing() override {
     DataType dtype = node_->attr().at("Tidx").type();
-    TF_RETURN_IF_ERROR(
-        UpdateOrTransformParamInput(1, "DataFormatDimMap", dtype));
-    return Status::OK();
+    return UpdateOrTransformParamInput(1, "DataFormatDimMap", dtype);
   }
 };
 
@@ -1511,9 +1503,8 @@ class SplitProcessor : public AgnosticNodeProcessor {
   }
 
   Status CustomizedProcessing() override {
-    TF_RETURN_IF_ERROR(UpdateOrTransformParamInput(
-        axis_node_pos_, "DataFormatDimMap", DT_INT32));
-    return Status::OK();
+    return UpdateOrTransformParamInput(axis_node_pos_, "DataFormatDimMap",
+                                       DT_INT32);
   }
 
   int axis_node_pos_;
@@ -1629,40 +1620,14 @@ class SumProcessor : public AgnosticNodeProcessor {
     int port;
     ParseNodeName(node_->input(0), &port);
     return !MustPreserve() && HasOutputs() && IsNodeAfterNCHWToNHWC() &&
-           IsPortDimsFour(*input0, port) && IsAlongDimNHW() && IsOnGPU();
+           IsPortDimsFour(*input0, port) && IsOnGPU();
   }
 
   Status AddLayoutTransposeToOutputs() override { return Status::OK(); }
 
   Status CustomizedProcessing() override {
-    return UpdateAttrValueOfInput(1, false);
-  }
-
- private:
-  bool IsAlongDimNHW() const {
-    NodeDef* reduction_indices = node_map_->GetNode(node_->input(1));
-    if (!IsConstant(*reduction_indices)) {
-      return false;
-    }
-    Tensor tensor;
-    if (reduction_indices->attr().find({"value"}) ==
-        reduction_indices->attr().end()) {
-      return false;
-    }
-    auto success =
-        tensor.FromProto(reduction_indices->attr().at({"value"}).tensor());
-    if (!success) {
-      LOG(ERROR) << "Failed to parse TensorProto.";
-      return false;
-    }
-    if (tensor.flat<int>().size() != 3) {
-      return false;
-    }
-    if (tensor.flat<int>()(0) == 0 && tensor.flat<int>()(1) == 1 &&
-        tensor.flat<int>()(2) == 2) {
-      return true;
-    }
-    return false;
+    DataType dtype = node_->attr().at("Tidx").type();
+    return UpdateOrTransformParamInput(1, "DataFormatDimMap", dtype);
   }
 };