[mlir][tosa] Add verifier check for Slice Op (#135853)

Add verifier check for Slice Op to make sure input1 and output have same
ranks.
Added test in verifier.mlir
Also moved existing slice verifier tests in invalid.mlir to verfier.mlir

Signed-off-by: Tai Ly <[email protected]>

Author: Tai78641

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

@@ -1446,19 +1446,26 @@ LogicalResult tosa::SliceOp::verify() {
                              /* outType = */ getOutput().getType())
           .failed())
     return failure();
-  auto inputType = llvm::dyn_cast<RankedTensorType>(getInput1().getType());
-  if (!inputType)
-    return success();
 
-  auto startShapeRank =
-      llvm::cast<tosa::shapeType>(getStart().getType()).getRank();
-  if (inputType.getRank() != startShapeRank)
-    return emitOpError("length of start is not equal to rank of input shape");
+  const ShapeAdaptor inputShape(getInput1().getType());
+  if (inputShape.hasRank()) {
+    const auto inputRank = inputShape.getRank();
+    const ShapeAdaptor outputShape(getOutput().getType());
+    if (outputShape.hasRank() && inputRank != outputShape.getRank())
+      return emitOpError(
+                 "expect input1 and output to have the same ranks, got ")
+             << inputRank << " and " << outputShape.getRank();
+
+    const auto startShapeRank =
+        llvm::cast<tosa::shapeType>(getStart().getType()).getRank();
+    if (inputRank != startShapeRank)
+      return emitOpError("length of start is not equal to rank of input shape");
 
-  auto sizeShapeRank =
-      llvm::cast<tosa::shapeType>(getSize().getType()).getRank();
-  if (inputType.getRank() != sizeShapeRank)
-    return emitOpError("length of size is not equal to rank of input shape");
+    const auto sizeShapeRank =
+        llvm::cast<tosa::shapeType>(getSize().getType()).getRank();
+    if (inputRank != sizeShapeRank)
+      return emitOpError("length of size is not equal to rank of input shape");
+  }
 
   return success();
 }

mlir/test/Dialect/Tosa/invalid.mlir

@@ -660,28 +660,6 @@ func.func @test_variable_write_shape(%arg0: tensor<1x4x8xi8>) -> () {
 
 // -----
 
-func.func @test_slice_invalid_start() {
-  %0 = tensor.empty() : tensor<4x31x31xf32>
-  %start = tosa.const_shape {values = dense<[1, 1]> : tensor<2xindex>} : () -> !tosa.shape<2>
-  %size = tosa.const_shape {values = dense<[1, 1, 1]> : tensor<3xindex>} : () -> !tosa.shape<3>
-  // expected-error@+1 {{'tosa.slice' op length of start is not equal to rank of input shape}}
-  %3 = tosa.slice %0, %start, %size : (tensor<4x31x31xf32>, !tosa.shape<2>, !tosa.shape<3>) -> tensor<*xf32>
-  return
-}
-
-// -----
-
-func.func @test_slice_invalid_size() {
-  %0 = tensor.empty() : tensor<4x31x31xf32>
-  %start = tosa.const_shape {values = dense<[1, 1, 1]> : tensor<3xindex>} : () -> !tosa.shape<3>
-  %size = tosa.const_shape {values = dense<[1]> : tensor<1xindex>} : () -> !tosa.shape<1>
-  // expected-error@+1 {{'tosa.slice' op length of size is not equal to rank of input shape}}
-  %3 = tosa.slice %0, %start, %size : (tensor<4x31x31xf32>, !tosa.shape<3>, !tosa.shape<1>) -> tensor<*xf32>
-  return
-}
-
-// -----
-
 func.func @test_tile_invalid_multiples() {
   %0 = tensor.empty() : tensor<4x31x31xf32>
   %cst = tosa.const_shape { values = dense<1> : tensor<1xindex> } : () -> !tosa.shape<1>
@@ -1938,16 +1916,6 @@ func.func @test_scalar_reverse(%arg0: tensor<f32>) -> tensor<f32> {
 
 // -----
 
-func.func @test_scalar_slice(%arg0: tensor<f32>) -> tensor<f32> {
-  %0 = tosa.const_shape {values = dense<[]> : tensor<0xindex>} : () -> !tosa.shape<0>
-  %1 = tosa.const_shape {values = dense<[]> : tensor<0xindex>} : () -> !tosa.shape<0>
-  // expected-error@+1 {{'tosa.slice' op operand #0 must be tosa-conformant tensor of at least rank 1, but got 'tensor<f32>'}}
-  %2 = tosa.slice %arg0, %0, %1 : (tensor<f32>, !tosa.shape<0>, !tosa.shape<0>) -> tensor<f32>
-  return %2 : tensor<f32>
-}
-
-// -----
-
 func.func @test_scalar_tile(%arg0: tensor<f32>) -> tensor<*xf32> {
   %cst = tosa.const_shape { values = dense<[]> : tensor<0xindex> } : () -> !tosa.shape<0>
   // expected-error@+1 {{'tosa.tile' op operand #0 must be tosa-conformant tensor of at least rank 1, but got 'tensor<f32>'}}

mlir/test/Dialect/Tosa/verifier.mlir

@@ -124,3 +124,46 @@ func.func @test_scalar_output_transpose(%arg0: tensor<*xf32>) -> tensor<f32> {
   %1 = tosa.transpose %arg0 {perms = array<i32: 2, 0, 1>} : (tensor<*xf32>) -> tensor<f32>
   return %1 : tensor<f32>
 }
+
+// -----
+
+func.func @test_slice_invalid_output_rank() {
+  %0 = tensor.empty() : tensor<4x31x31xf32>
+  %start = tosa.const_shape {values = dense<[1, 1]> : tensor<2xindex>} : () -> !tosa.shape<2>
+  %size = tosa.const_shape {values = dense<[1, 1, 1]> : tensor<3xindex>} : () -> !tosa.shape<3>
+  // expected-error@+1 {{'tosa.slice' op expect input1 and output to have the same ranks, got 3 and 4}}
+  %3 = tosa.slice %0, %start, %size : (tensor<4x31x31xf32>, !tosa.shape<2>, !tosa.shape<3>) -> tensor<?x?x?x?xf32>
+  return
+}
+
+// -----
+
+func.func @test_slice_invalid_start() {
+  %0 = tensor.empty() : tensor<4x31x31xf32>
+  %start = tosa.const_shape {values = dense<[1, 1]> : tensor<2xindex>} : () -> !tosa.shape<2>
+  %size = tosa.const_shape {values = dense<[1, 1, 1]> : tensor<3xindex>} : () -> !tosa.shape<3>
+  // expected-error@+1 {{'tosa.slice' op length of start is not equal to rank of input shape}}
+  %3 = tosa.slice %0, %start, %size : (tensor<4x31x31xf32>, !tosa.shape<2>, !tosa.shape<3>) -> tensor<*xf32>
+  return
+}
+
+// -----
+
+func.func @test_slice_invalid_size() {
+  %0 = tensor.empty() : tensor<4x31x31xf32>
+  %start = tosa.const_shape {values = dense<[1, 1, 1]> : tensor<3xindex>} : () -> !tosa.shape<3>
+  %size = tosa.const_shape {values = dense<[1]> : tensor<1xindex>} : () -> !tosa.shape<1>
+  // expected-error@+1 {{'tosa.slice' op length of size is not equal to rank of input shape}}
+  %3 = tosa.slice %0, %start, %size : (tensor<4x31x31xf32>, !tosa.shape<3>, !tosa.shape<1>) -> tensor<*xf32>
+  return
+}
+
+// -----
+
+func.func @test_scalar_slice(%arg0: tensor<f32>) -> tensor<f32> {
+  %0 = tosa.const_shape {values = dense<[]> : tensor<0xindex>} : () -> !tosa.shape<0>
+  %1 = tosa.const_shape {values = dense<[]> : tensor<0xindex>} : () -> !tosa.shape<0>
+  // expected-error@+1 {{'tosa.slice' op operand #0 must be tosa-conformant tensor of at least rank 1, but got 'tensor<f32>'}}
+  %2 = tosa.slice %arg0, %0, %1 : (tensor<f32>, !tosa.shape<0>, !tosa.shape<0>) -> tensor<f32>
+  return %2 : tensor<f32>
+}