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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 -tfl-trim-funcs-tf="trim-funcs-allowlist=bar,foobar" %s | FileCheck %s
func.func @foo(%arg0: tensor<1x4xf32>, %arg1: tensor<1x4xf32>) -> tensor<1x4xf32> {
func.return %arg0 : tensor<1x4xf32>
}
func.func @bar(%arg0: tensor<2x4xf32>, %arg1: tensor<2x4xf32>) -> tensor<2x4xf32> {
func.return %arg0 : tensor<2x4xf32>
}
func.func @foobar(%arg0: tensor<1x4xf32>, %arg1: tensor<1x4xf32>) -> tensor<1x4xf32> {
func.return %arg0 : tensor<1x4xf32>
}
// CHECK-DAG: func @main
// CHECK-DAG: func @foobar
// CHECK-NOT: func @foo
// CHECK-NOT: func @bar