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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

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// Copyright 2026 The TensorFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// ==============================================================================
// RUN: litert-opt %s -inline='default-pipeline=''' | FileCheck %s
// Inline a function that contains only tfl ops.
func.func @func_with_tfl_ops(%arg0 : tensor<2xi32>) -> tensor<2xi32> {
%0 = "tfl.sub"(%arg0, %arg0) {fused_activation_function = "RELU6"} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32>
%1 = "tfl.add"(%0, %arg0) {fused_activation_function = "RELU6"} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32>
func.return %1: tensor<2xi32>
}
// CHECK-LABEL: func @inline_with_arg
// CHECK-SAME: [[VAL_0:%.*]]: tensor<2xi32>
func.func @inline_with_arg(%arg0 : tensor<2xi32>) -> tensor<2xi32> {
// CHECK-NEXT: [[VAL_1:%.*]] = tfl.sub [[VAL_0]], [[VAL_0]] {fused_activation_function = "RELU6"} : tensor<2xi32>
// CHECK-NEXT: [[VAL_2:%.*]] = tfl.add [[VAL_1]], [[VAL_0]] {fused_activation_function = "RELU6"} : tensor<2xi32>
// CHECK-NEXT: return [[VAL_2]] : tensor<2xi32>
%0 = func.call @func_with_tfl_ops(%arg0) : (tensor<2xi32>) -> tensor<2xi32>
func.return %0 : tensor<2xi32>
}