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/*
* 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.
*/
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
/* This constant represents the range of x values our model was trained on,
* which is from 0 to (2 * Pi). We approximate Pi to avoid requiring additional
* libraries.
*/
const float kXrange = 2.f * 3.14159265359f;
/* This constant determines the number of inferences to perform across the range
* of x values defined above. Since each inference takes time, the higher this
* number, the more time it will take to run through the entire range. The value
* of this constant can be tuned so that one full cycle takes a desired amount
* of time. Since different devices take different amounts of time to perform
* inference, this value should be defined per-device.
*/
extern const int kInferencesPerCycle;
#endif /* TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_ */