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- /* 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 PI = 3.14159265359f;
- const float kXrange = 2.f * PI;
- // 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_
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