[mlir][tensor] Relax input type requirement on tensor.splat (#145893)

`tensor.splat` is currently restricted to only accepting input values
that are of integer, index or float type.

This is much more restrictive than the tensor type itself as well as any
lowerings of it.

This PR therefore removes this restriction by using `AnyType` for the
input value. Whether the type is actually valid or not for a tensor
remains verified through the type equality of the result tensor element
type and the input type.

Author: zero9178

mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td

@@ -1771,8 +1771,7 @@ def Tensor_SplatOp : Tensor_Op<"splat", [
   ]> {
   let summary = "tensor splat or broadcast operation";
   let description = [{
-    Broadcast the operand to all elements of the result tensor. The operand is
-    required to be of integer/index/float type.
+    Broadcast the operand to all elements of the result tensor.
 
     An additional argument of type `index` must be provided for each dynamic
     dimension present in the result type.
@@ -1795,8 +1794,7 @@ def Tensor_SplatOp : Tensor_Op<"splat", [
     ```
   }];
 
-  let arguments = (ins AnyTypeOf<[AnySignlessInteger, Index, AnyFloat],
-                                 "integer/index/float type">:$input,
+  let arguments = (ins AnyType:$input,
                        Variadic<Index>:$dynamicSizes);
   let results = (outs AnyRankedTensor:$aggregate);
 

mlir/test/Dialect/Tensor/bufferize.mlir

@@ -615,6 +615,21 @@ func.func @tensor.splat(%f: f32) -> tensor<10x2x4xf32> {
 
 // -----
 
+// CHECK-LABEL:   func @tensor.splat_other(
+// CHECK-SAME:        %[[F:.*]]: !test.memref_element)
+// CHECK-DAG:       %[[ALLOC:.*]] = memref.alloc() {{.*}} : memref<10x2x4x!test.memref_element>
+// CHECK:           %[[ALLOC_T:.*]] = bufferization.to_tensor %[[ALLOC]]
+// CHECK:           %[[MAPPED:.*]] = linalg.map
+// CHECK:                 outs(%[[ALLOC_T]] : tensor<10x2x4x!test.memref_element>)
+// CHECK:             linalg.yield %[[F]]
+// CHECK:           return %[[MAPPED]] : tensor<10x2x4x!test.memref_element>
+func.func @tensor.splat_other(%f: !test.memref_element) -> tensor<10x2x4x!test.memref_element> {
+  %t = tensor.splat %f : tensor<10x2x4x!test.memref_element>
+  return %t : tensor<10x2x4x!test.memref_element>
+}
+
+// -----
+
 // CHECK-LABEL:   func @tensor.concat(
 // CHECK-SAME:        %[[F:.*]]: tensor<8xf32>)
 // CHECK:           %[[F_MEMREF:.*]] = bufferization.to_buffer %[[F]]

mlir/test/Dialect/Tensor/invalid.mlir

@@ -466,9 +466,10 @@ func.func @invalid_splat(%v : f32) {
 
 // -----
 
-func.func @invalid_splat(%v : vector<8xf32>) {
-  // expected-error@+1 {{must be integer/index/float type}}
-  %w = tensor.splat %v : tensor<8xvector<8xf32>>
+// expected-note@+1 {{prior use here}}
+func.func @invalid_splat(%v : f32) {
+  // expected-error@+1 {{expects different type than prior uses: 'i32' vs 'f32'}}
+  %w = tensor.splat %v : tensor<1xi32>
   return
 }
 

mlir/test/Dialect/Tensor/ops.mlir

@@ -313,13 +313,17 @@ func.func @pad_to_static_size(%arg0: tensor<?x?xf32>, %ub0: index, %ub1: index,
 // -----
 
 // CHECK-LABEL: func @test_splat_op
-// CHECK-SAME: [[S:%arg[0-9]+]]: f32
-func.func @test_splat_op(%s : f32) {
-  // CHECK: tensor.splat [[S]] : tensor<8xf32>
+// CHECK-SAME: %[[S:.*]]: f32
+// CHECK-SAME: %[[P:.*]]: !llvm.ptr
+func.func @test_splat_op(%s : f32, %p : !llvm.ptr) {
+  // CHECK: tensor.splat %[[S]] : tensor<8xf32>
   %v = tensor.splat %s : tensor<8xf32>
 
-  // CHECK: tensor.splat [[S]] : tensor<4xf32>
+  // CHECK: tensor.splat %[[S]] : tensor<4xf32>
   %u = "tensor.splat"(%s) : (f32) -> tensor<4xf32>
+
+  // CHECK: tensor.splat %[[P]] : tensor<8x!llvm.ptr>
+  %w = tensor.splat %p : tensor<8x!llvm.ptr>
   return
 }