wehub-resource-sync
129 lines
3.9 KiB
C++
129 lines
3.9 KiB
C++
/* Copyright 2017 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_TESTING_PARSE_TESTDATA_H_
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#define TENSORFLOW_LITE_TESTING_PARSE_TESTDATA_H_
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#include <vector>
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#include "tensorflow/lite/core/interpreter.h"
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#include "tensorflow/lite/testing/test_runner.h"
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namespace tflite {
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namespace testing {
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// Shape and data for a float tensor
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struct FloatTensor {
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std::vector<int> shape;
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std::vector<float> flat_data;
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};
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// A prescribed input, output example
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struct Example {
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std::vector<FloatTensor> inputs;
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std::vector<FloatTensor> outputs;
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};
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// Parses an example input and output file (used for unit tests)
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TfLiteStatus ParseExamples(const char* filename,
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std::vector<Example>* examples);
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// Inputs Tensors into a TensorFlow lite interpreter. Note, this will run
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// interpreter.AllocateTensors();
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TfLiteStatus FeedExample(tflite::Interpreter* interpreter, const Example&);
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// Check outputs against (already) evaluated result.
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TfLiteStatus CheckOutputs(tflite::Interpreter* interpreter, const Example&);
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// Parses a test description and feeds the given test runner with data.
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// The input format is similar to a proto with the following schema:
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//
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// message TestMessage {
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// // Path to the model to load.
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// string load_model = 1;
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// // Names to initialize the tensor with zeros.
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// string init_state = 2;
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// message Reshape {
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// // Name of the input and csv string of shape of it.
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// map<string, string> input = 1;
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// }
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// repeated Reshape reshape = 3;
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// message Invoke {
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// // Name of this invoke.
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// string id = 1;
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// // Name of the input to the csv string of input value.
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// map<string, string> input = 2;
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// // Name of the output to the csv string of expected output value.
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// map<string, string> output = 3;
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// // Name of the output to the csv string of expected output shape.
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// map<string, string> output_shape = 4;
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// }
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// repeated Invoke invoke = 4;
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// }
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//
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// An example of the ASCII proto:
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// // Loads model 'add.bin' from the TestRunner's model directory.
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// load_model: "add.bin"
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// // Changes the shape of inputs, provided in the same order they appear
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// // in the model, or `input_names` if specified.
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// reshape {
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// input {
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// key: "a"
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// value: "1,224,224,3"
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// }
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// input {
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// key: "b"
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// value: "1,3,4,1"
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// }
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// }
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// // Fills the given persistent tensors with zeros.
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// init_state: "a,b,c,d"
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// // Invokes the interpreter with the given input and checks that it
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// // produces the expected output. Inputs and outputs should be specified in
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// // the order they appear in the model, or `input_names` and `output_names`
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// // if specified.
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// invoke {
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// input {
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// key: "a"
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// value: "1,2,3,4,56"
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// }
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// input {
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// key: "b"
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// value: "0.1,0.2,0.3,4.3,56.4"
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// }
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// output {
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// key: "x"
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// value: "12,3,4,545,3,6"
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// }
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// output {
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// key: "y"
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// value: "0.01,0.02"
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// }
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// output_shape {
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// key: "x"
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// value: "2,3"
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// }
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// output_shape {
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// key: "y"
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// value: "1"
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// }
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// }
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bool ParseAndRunTests(std::istream* input, TestRunner* test_runner,
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int max_invocations = -1);
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} // namespace testing
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TESTING_PARSE_TESTDATA_H_
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