diff --git a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
index a8667427a45..b64750078c8 100644
--- a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
+++ b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
@@ -10841,11 +10841,27 @@ def TF_ZerosLikeOp : TF_Op<"ZerosLike", [NoSideEffect, SameOperandsAndResultType
 
 def TF__FusedConv2DOp : TF_Op<"_FusedConv2D", [NoSideEffect]> {
   let summary = [{
-*NOTE*: Do not invoke this operator directly in Python. Grappler is
+Performs a convolution followed by a specified series of operations.
   }];
 
   let description = [{
-expected to create these operators.
+The inputs to the convolution are `input` and `filter`. The series of operations
+that follows is specified by the `fused_ops` attribute, which is a list of TF op
+names specified as strings (e.g. "Relu"). They are performed in order, where the
+(first) input to each op is the output of the preceding op. The first input and
+the output of each fused_op must be of type T.
+
+Currently supported fused_op combinations are: [X] and [X,A], where X is one of
+{"BiasAdd","FusedBatchNorm"} and A is one of {"Elu","Relu","Relu6"}.
+
+* The first input to op X is the Conv2D result, and the additional input(s) to X
+are specified by `args`.
+* If there is an op A specified, the output of op X is the input to op A, and op
+A produces the _FusedConv2D output. Otherwise, op X produces the _FusedConv2D
+output.
+
+*NOTE*: Do not invoke this operator directly in Python. Grappler is expected to
+create these operators.
   }];
 
   let arguments = (ins
diff --git a/tensorflow/core/ops/nn_ops.cc b/tensorflow/core/ops/nn_ops.cc
index 518972696f1..7eedd8b0371 100644
--- a/tensorflow/core/ops/nn_ops.cc
+++ b/tensorflow/core/ops/nn_ops.cc
@@ -405,8 +405,25 @@ REGISTER_OP("_FusedConv2D")
     // ---------------------------------------------------------------------- //
     .SetShapeFn(shape_inference::Conv2DShapeWithExplicitPadding)
     .Doc(R"doc(
-*NOTE*: Do not invoke this operator directly in Python. Grappler is
-expected to create these operators.
+Performs a convolution followed by a specified series of operations.
+
+The inputs to the convolution are `input` and `filter`. The series of operations
+that follows is specified by the `fused_ops` attribute, which is a list of TF op
+names specified as strings (e.g. "Relu"). They are performed in order, where the
+(first) input to each op is the output of the preceding op. The first input and
+the output of each fused_op must be of type T.
+
+Currently supported fused_op combinations are: [X] and [X,A], where X is one of
+{"BiasAdd","FusedBatchNorm"} and A is one of {"Elu","Relu","Relu6"}.
+
+* The first input to op X is the Conv2D result, and the additional input(s) to X
+are specified by `args`.
+* If there is an op A specified, the output of op X is the input to op A, and op
+A produces the _FusedConv2D output. Otherwise, op X produces the _FusedConv2D
+output.
+
+*NOTE*: Do not invoke this operator directly in Python. Grappler is expected to
+create these operators.
 )doc");
 
 namespace {