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The purpose of the preprocessor is to load a model with the TFLM interpreter, allocate tensors, and then capture the resulting data structures. To capture this data, we need to provide structure and serialization to it for ingesting into the code generator. This commit defines a preprocessor data schema with generated C++ and python bindings for it. Unfortunately, we need to check-in the generated code, as the Makefiles are currently not capable of running the flatc compiler. An update script is included to help keep these files in sync. BUG=b/295076067
23 lines
831 B
Text
23 lines
831 B
Text
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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namespace tflm.codegen.preprocessor;
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// TODO(rjascani): This needs a more descriptive name
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table Data {
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// The model path that was provided to the preprocessor
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input_model_path:string;
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}
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root_type Data;
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