[feat][tensorflow] add tensorflow demo
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7
examples/tensorflow/CMakeLists.txt
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examples/tensorflow/CMakeLists.txt
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set(mains main.c)
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set(TARGET_REQUIRED_LIBS tflite)
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set(TARGET_REQUIRED_SRCS main_functions.cc output_handler.cc constants.cc model.cc)
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generate_bin()
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20
examples/tensorflow/constants.cc
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examples/tensorflow/constants.cc
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// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/constants.cc
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/* Copyright 2019 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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#include "constants.h"
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// This is a small number so that it's easy to read the logs
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const int kInferencesPerCycle = 20;
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33
examples/tensorflow/constants.h
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examples/tensorflow/constants.h
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// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/constants.h
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/* Copyright 2019 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_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
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#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
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// This constant represents the range of x values our model was trained on,
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// which is from 0 to (2 * Pi). We approximate Pi to avoid requiring additional
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// libraries.
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const float kXrange = 2.f * 3.14159265359f;
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// This constant determines the number of inferences to perform across the range
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// of x values defined above. Since each inference takes time, the higher this
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// number, the more time it will take to run through the entire range. The value
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// of this constant can be tuned so that one full cycle takes a desired amount
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// of time. Since different devices take different amounts of time to perform
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// inference, this value should be defined per-device.
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extern const int kInferencesPerCycle;
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#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
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examples/tensorflow/main.c
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examples/tensorflow/main.c
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/* Copyright 2019 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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#include "main_functions.h"
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#include "hal_uart.h"
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/// Global Destructor for C++, which we're not using.
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/// See https://alex-robenko.gitbook.io/bare_metal_cpp/compiler_output/static#custom-destructors
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void *__dso_handle = NULL;
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int main()
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{
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bflb_platform_init(0);
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setup();
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printf("model load successfully!!\n");
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while (1) {
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loop();
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}
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BL_CASE_SUCCESS;
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while (1) {
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bflb_platform_delay_ms(100);
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}
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}
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127
examples/tensorflow/main_functions.cc
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examples/tensorflow/main_functions.cc
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// Based on https://github.com/lupyuen/tflite-bl602/blob/main/main_functions.cc
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/* Copyright 2020 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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#include "main_functions.h"
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#include "bflb_platform.h"
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#include "tensorflow/lite/micro/all_ops_resolver.h"
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#include "constants.h"
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#include "model.h"
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#include "output_handler.h"
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#include "tensorflow/lite/micro/micro_error_reporter.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/micro/system_setup.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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// Globals, used for compatibility with Arduino-style sketches.
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namespace
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{
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tflite::ErrorReporter *error_reporter = nullptr;
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const tflite::Model *model = nullptr;
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tflite::MicroInterpreter *interpreter = nullptr;
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TfLiteTensor *input = nullptr;
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TfLiteTensor *output = nullptr;
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int inference_count = 0;
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constexpr int kTensorArenaSize = 2000;
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uint8_t tensor_arena[kTensorArenaSize];
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} // namespace
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// The name of this function is important for Arduino compatibility.
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void setup()
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{
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tflite::InitializeTarget();
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// Set up logging. Google style is to avoid globals or statics because of
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// lifetime uncertainty, but since this has a trivial destructor it's okay.
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// NOLINTNEXTLINE(runtime-global-variables)
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static tflite::MicroErrorReporter micro_error_reporter;
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error_reporter = µ_error_reporter;
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// Map the model into a usable data structure. This doesn't involve any
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// copying or parsing, it's a very lightweight operation.
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model = tflite::GetModel(g_model);
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if (model->version() != TFLITE_SCHEMA_VERSION) {
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TF_LITE_REPORT_ERROR(error_reporter,
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"Model provided is schema version %d not equal "
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"to supported version %d.",
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model->version(), TFLITE_SCHEMA_VERSION);
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return;
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}
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// This pulls in all the operation implementations we need.
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// NOLINTNEXTLINE(runtime-global-variables)
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static tflite::AllOpsResolver resolver;
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// Build an interpreter to run the model with.
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static tflite::MicroInterpreter static_interpreter(
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model, resolver, tensor_arena, kTensorArenaSize, error_reporter);
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interpreter = &static_interpreter;
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// Allocate memory from the tensor_arena for the model's tensors.
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TfLiteStatus allocate_status = interpreter->AllocateTensors();
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if (allocate_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
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return;
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}
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// Obtain pointers to the model's input and output tensors.
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input = interpreter->input(0);
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output = interpreter->output(0);
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// Keep track of how many inferences we have performed.
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inference_count = 0;
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}
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// The name of this function is important for Arduino compatibility.
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void loop()
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{
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// Calculate an x value to feed into the model. We compare the current
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// inference_count to the number of inferences per cycle to determine
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// our position within the range of possible x values the model was
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// trained on, and use this to calculate a value.
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float position = static_cast<float>(inference_count) /
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static_cast<float>(kInferencesPerCycle);
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float x = position * kXrange;
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// Quantize the input from floating-point to integer
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int8_t x_quantized = x / input->params.scale + input->params.zero_point;
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// Place the quantized input in the model's input tensor
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input->data.int8[0] = x_quantized;
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// Run inference, and report any error
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TfLiteStatus invoke_status = interpreter->Invoke();
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if (invoke_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed on x: %f\n",
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static_cast<double>(x));
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return;
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}
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// Obtain the quantized output from model's output tensor
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int8_t y_quantized = output->data.int8[0];
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// Dequantize the output from integer to floating-point
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float y = (y_quantized - output->params.zero_point) * output->params.scale;
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// Output the results. A custom HandleOutput function can be implemented
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// for each supported hardware target.
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printf("x=%f, y=%f\r\n", x, y); ////
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//// TODO: HandleOutput(error_reporter, x, y);
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// Increment the inference_counter, and reset it if we have reached
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// the total number per cycle
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inference_count += 1;
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if (inference_count >= kInferencesPerCycle)
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inference_count = 0;
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}
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38
examples/tensorflow/main_functions.h
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38
examples/tensorflow/main_functions.h
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// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/main_functions.h
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/* Copyright 2019 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_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
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#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
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// Expose a C friendly interface for main functions.
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#ifdef __cplusplus
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extern "C" {
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#endif
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// Initializes all data needed for the example. The name is important, and needs
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// to be setup() for Arduino compatibility.
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void setup();
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// Runs one iteration of data gathering and inference. This should be called
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// repeatedly from the application code. The name needs to be loop() for Arduino
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// compatibility.
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void loop();
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#ifdef __cplusplus
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}
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#endif
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#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
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238
examples/tensorflow/model.cc
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examples/tensorflow/model.cc
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// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/model.cc
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/* Copyright 2020 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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// Automatically created from a TensorFlow Lite flatbuffer using the command:
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// xxd -i model.tflite > model.cc
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// This is a standard TensorFlow Lite model file that has been converted into a
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// C data array, so it can be easily compiled into a binary for devices that
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// don't have a file system.
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// See https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/train/README.md for a full description of the creation process.
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#include "model.h"
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// Keep model aligned to 8 bytes to guarantee aligned 64-bit accesses.
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alignas(8) const unsigned char g_model[] = {
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0x1c, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x14, 0x00, 0x20, 0x00,
|
||||
0x1c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00,
|
||||
0x08, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
|
||||
0x98, 0x00, 0x00, 0x00, 0xc8, 0x00, 0x00, 0x00, 0x1c, 0x03, 0x00, 0x00,
|
||||
0x2c, 0x03, 0x00, 0x00, 0x30, 0x09, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
|
||||
0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x60, 0xf7, 0xff, 0xff,
|
||||
0x10, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00,
|
||||
0x44, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76,
|
||||
0x65, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76,
|
||||
0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x00,
|
||||
0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xbc, 0xff, 0xff, 0xff,
|
||||
0x09, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00,
|
||||
0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x34, 0x00, 0x01, 0x00, 0x00, 0x00,
|
||||
0x04, 0x00, 0x00, 0x00, 0x76, 0xfd, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
|
||||
0x0d, 0x00, 0x00, 0x00, 0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x32, 0x5f,
|
||||
0x69, 0x6e, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
||||
0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00,
|
||||
0x08, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
|
||||
0x13, 0x00, 0x00, 0x00, 0x6d, 0x69, 0x6e, 0x5f, 0x72, 0x75, 0x6e, 0x74,
|
||||
0x69, 0x6d, 0x65, 0x5f, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x00,
|
||||
0x0c, 0x00, 0x00, 0x00, 0x50, 0x02, 0x00, 0x00, 0x48, 0x02, 0x00, 0x00,
|
||||
0x34, 0x02, 0x00, 0x00, 0xdc, 0x01, 0x00, 0x00, 0x8c, 0x01, 0x00, 0x00,
|
||||
0x6c, 0x01, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, 0x3c, 0x00, 0x00, 0x00,
|
||||
0x34, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
|
||||
0x04, 0x00, 0x00, 0x00, 0xfa, 0xfd, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
|
||||
0x10, 0x00, 0x00, 0x00, 0x31, 0x2e, 0x35, 0x2e, 0x30, 0x00, 0x00, 0x00,
|
||||
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x84, 0xfd, 0xff, 0xff,
|
||||
0x88, 0xfd, 0xff, 0xff, 0x8c, 0xfd, 0xff, 0xff, 0x22, 0xfe, 0xff, 0xff,
|
||||
0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x21, 0xa5, 0x8b, 0xca,
|
||||
0x5e, 0x1d, 0xce, 0x42, 0x9d, 0xce, 0x1f, 0xb0, 0xdf, 0x54, 0x2f, 0x81,
|
||||
0x3e, 0xfe, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00,
|
||||
0xee, 0xfc, 0x00, 0xec, 0x05, 0x17, 0xef, 0xec, 0xe6, 0xf8, 0x03, 0x01,
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||||
0x00, 0xfa, 0xf8, 0xf5, 0xdc, 0xeb, 0x27, 0x14, 0xf1, 0xde, 0xe2, 0xdb,
|
||||
0xf0, 0xde, 0x31, 0x06, 0x02, 0xe6, 0xee, 0xf9, 0x00, 0x16, 0x07, 0xe0,
|
||||
0xfe, 0xff, 0xe9, 0x06, 0xe7, 0xef, 0x81, 0x1b, 0x18, 0xea, 0xc9, 0x01,
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||||
0x0f, 0x00, 0xda, 0xf7, 0x0e, 0xec, 0x13, 0x1f, 0x04, 0x13, 0xb4, 0xe6,
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||||
0xfd, 0x06, 0xb9, 0xe0, 0x0d, 0xec, 0xf0, 0xde, 0xeb, 0xf7, 0x05, 0x26,
|
||||
0x1a, 0xe4, 0x6f, 0x1a, 0xea, 0x1e, 0x35, 0xdf, 0x1a, 0xf3, 0xf1, 0x19,
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||||
0x0f, 0x03, 0x1b, 0xe1, 0xde, 0x13, 0xf6, 0x19, 0xff, 0xf6, 0x1b, 0x18,
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||||
0xf0, 0x1c, 0xda, 0x1b, 0x1b, 0x20, 0xe5, 0x1a, 0xf5, 0xff, 0x96, 0x0b,
|
||||
0x00, 0x01, 0xcd, 0xde, 0x0d, 0xf6, 0x16, 0xe3, 0xed, 0xfc, 0x0e, 0xe9,
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||||
0xfa, 0xeb, 0x5c, 0xfc, 0x1d, 0x02, 0x5b, 0xe2, 0xe1, 0xf5, 0x15, 0xec,
|
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|
||||
0x65, 0x5f, 0x34, 0x2f, 0x62, 0x69, 0x61, 0x73, 0x00, 0x00, 0x00, 0x00,
|
||||
0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x1c, 0x00,
|
||||
0x18, 0x00, 0x17, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x00, 0x00,
|
||||
0x00, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
|
||||
0x2c, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
||||
0x00, 0x00, 0x00, 0x09, 0x84, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
|
||||
0xff, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00,
|
||||
0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
|
||||
0x10, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00,
|
||||
0x24, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x80, 0xff, 0xff, 0xff,
|
||||
0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
||||
0x5d, 0x4f, 0xc9, 0x3c, 0x01, 0x00, 0x00, 0x00, 0x0e, 0x86, 0xc8, 0x40,
|
||||
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
|
||||
0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61,
|
||||
0x75, 0x6c, 0x74, 0x5f, 0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x32, 0x5f,
|
||||
0x69, 0x6e, 0x70, 0x75, 0x74, 0x3a, 0x30, 0x5f, 0x69, 0x6e, 0x74, 0x38,
|
||||
0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
||||
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
|
||||
0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xd8, 0xff, 0xff, 0xff,
|
||||
0x06, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06,
|
||||
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
|
||||
0x0c, 0x00, 0x00, 0x00, 0x72, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x72,
|
||||
0x0c, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
|
||||
0x0c, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
|
||||
0x00, 0x00, 0x00, 0x09};
|
||||
const int g_model_len = 2488;
|
32
examples/tensorflow/model.h
Normal file
32
examples/tensorflow/model.h
Normal file
@ -0,0 +1,32 @@
|
||||
// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/model.h
|
||||
/* Copyright 2020 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.
|
||||
==============================================================================*/
|
||||
|
||||
// Automatically created from a TensorFlow Lite flatbuffer using the command:
|
||||
// xxd -i model.tflite > model.cc
|
||||
|
||||
// This is a standard TensorFlow Lite model file that has been converted into a
|
||||
// C data array, so it can be easily compiled into a binary for devices that
|
||||
// don't have a file system.
|
||||
|
||||
// See train/README.md for a full description of the creation process.
|
||||
|
||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
||||
|
||||
extern const unsigned char g_model[];
|
||||
extern const int g_model_len;
|
||||
|
||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
25
examples/tensorflow/output_handler.cc
Normal file
25
examples/tensorflow/output_handler.cc
Normal file
@ -0,0 +1,25 @@
|
||||
// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/output_handler.cc
|
||||
/* Copyright 2019 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.
|
||||
==============================================================================*/
|
||||
|
||||
#include "output_handler.h"
|
||||
|
||||
void HandleOutput(tflite::ErrorReporter* error_reporter, float x_value,
|
||||
float y_value) {
|
||||
// Log the current X and Y values
|
||||
TF_LITE_REPORT_ERROR(error_reporter, "x_value: %f, y_value: %f\n",
|
||||
static_cast<double>(x_value),
|
||||
static_cast<double>(y_value));
|
||||
}
|
27
examples/tensorflow/output_handler.h
Normal file
27
examples/tensorflow/output_handler.h
Normal file
@ -0,0 +1,27 @@
|
||||
// Based on https://github.com/lupyuen/tflite-bl602/blob/main/tensorflow/lite/micro/examples/hello_world/output_handler.h
|
||||
/* Copyright 2019 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.
|
||||
==============================================================================*/
|
||||
|
||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
||||
|
||||
#include "tensorflow/lite/c/common.h"
|
||||
#include "tensorflow/lite/micro/micro_error_reporter.h"
|
||||
|
||||
// Called by the main loop to produce some output based on the x and y values
|
||||
void HandleOutput(tflite::ErrorReporter *error_reporter, float x_value,
|
||||
float y_value);
|
||||
|
||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
5
examples/tensorflow/readme.md
Normal file
5
examples/tensorflow/readme.md
Normal file
@ -0,0 +1,5 @@
|
||||
```bash
|
||||
|
||||
$ make APP=tensorflow BOARD=bl706_iot SUPPORT_FLOAT=y SUPPORT_TFLITE=y
|
||||
|
||||
```
|
Reference in New Issue
Block a user