/*
 * 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_ */