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/*
* SPDX-FileCopyrightText: Copyright 2023 Arm Limited and/or its affiliates <open-source-office@arm.com>
* SPDX-License-Identifier: Apache-2.0
*
* 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.
*/
#ifndef INF_RUNNER_MICRO_MUTABLE_ALL_OPS_RESOLVER_HPP
#define INF_RUNNER_MICRO_MUTABLE_ALL_OPS_RESOLVER_HPP
#include <tensorflow/lite/micro/micro_mutable_op_resolver.h>
namespace arm {
namespace app {
/* Maximum number of individual operations that can be enlisted. */
constexpr int kNumberOperators = 97;
/** An Op resolver containing all ops is no longer supplied with TFLite Micro
* so we create our own instead for the generic inference runner.
*
* @return MicroMutableOpResolver containing all TFLite Micro Ops registered.
*/
tflite::MicroMutableOpResolver<kNumberOperators> CreateAllOpsResolver();
} /* namespace app */
} /* namespace arm */
#endif /* INF_RUNNER_MICRO_MUTABLE_ALL_OPS_RESOLVER_HPP */
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