c41b1f7e72
Additionally, PR #43571 moved the remove virtual delete macro to public from private, presumably for the TAGS=posix build. However, that does not seem to be reproducible and this change moves it back to private. We are going to keep increasing the CI coverage and if CI passes then we should be confident that things are ok. PiperOrigin-RevId: 335685796 Change-Id: I446d9216a8e7c8b8c981d71bd0314dc7709b4e4f
36 lines
1.4 KiB
C++
36 lines
1.4 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_MICRO_ALL_OPS_RESOLVER_H_
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#define TENSORFLOW_LITE_MICRO_ALL_OPS_RESOLVER_H_
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#include "tensorflow/lite/micro/compatibility.h"
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#include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
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namespace tflite {
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// The magic number in the template parameter is the maximum number of ops that
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// can be added to AllOpsResolver. It can be increased if needed. And most
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// applications that care about the memory footprint will want to directly use
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// MicroMutableOpResolver and have an application specific template parameter.
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// The examples directory has sample code for this.
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class AllOpsResolver : public MicroMutableOpResolver<128> {
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public:
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AllOpsResolver();
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private:
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TF_LITE_REMOVE_VIRTUAL_DELETE
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_MICRO_ALL_OPS_RESOLVER_H_
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