ShapeInference for SizeOp (#299)

* add shape inference

* Revert "add shape inference"

This reverts commit f9d42f39e68e14b5648abccfc8617fff00244d16.

* shape inference

* test case

* format

src/Dialect/ONNX/ONNXOps.cpp

@@ -2378,6 +2378,18 @@ LogicalResult ONNXShapeOp::inferShapes() {
   return success();
 }
 
+//===----------------------------------------------------------------------===//
+// Size
+//===----------------------------------------------------------------------===//
+
+LogicalResult ONNXSizeOp::inferShapes() {
+  // Output is scalar of int64 containing the size of the input tensor.
+  SmallVector<int64_t, 1> outDims;
+  getResult().setType(
+      RankedTensorType::get(outDims, IntegerType::get(64, getContext())));
+  return success();
+}
+
 //===----------------------------------------------------------------------===//
 // Tile
 //===----------------------------------------------------------------------===//

src/Dialect/ONNX/ONNXOps.td.inc

@@ -4863,7 +4863,7 @@ def ONNXSinhOp:ONNX_Op<"Sinh",
 }
 
 def ONNXSizeOp:ONNX_Op<"Size",
-  [NoSideEffect]> {
+  [NoSideEffect, DeclareOpInterfaceMethods<ShapeInferenceOpInterface>]> {
   let hasCanonicalizer = 1;
   let summary = "ONNX Size operation";
   let description = [{

test/mlir/onnx/onnx_shape_inference.mlir

@@ -1565,3 +1565,14 @@ func @test_onehotencoder_float2(%arg0: tensor<20x2x3xf32>) -> tensor<*xf32> {
   // CHECK: [[RES:%.+]] = "onnx.OneHotEncoder"(%arg0) {cats_int64s = [1, 2, 4], cats_strings = ["female", "male"], zeros = 1 : i64} : (tensor<20x2x3xf32>) -> tensor<20x2x3x3xf32>
   // CHECK: return [[RES]] : tensor<20x2x3x3xf32>
 }
+
+// -----
+
+func @test_size(%arg0: tensor<*xf32>) -> tensor<*xi64> {
+  %0 = "onnx.Size"(%arg0) : (tensor<*xf32>) -> tensor<*xi64>  
+  "std.return"(%0) : (tensor<*xi64>) -> ()
+
+  // CHECK-LABEL: test_size
+  // CHECK: [[RES:%.+]] = "onnx.Size"(%arg0) : (tensor<*xf32>) -> tensor<i64>
+  // CHECK: return [[RES]] : tensor<i64>
+}

utils/gen_onnx_mlir.py

@@ -303,6 +303,7 @@ OpsWithShapeInference=[
     'Sign',
     'Sin',
     'Sinh',
+    'Size',
     'Slice',
     'Softmax',
     'Softplus',