| /* 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_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_ |
