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[feat] add tensorflowlite component and demo
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examples/tensorflowlite/sinx/constants.h
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examples/tensorflowlite/sinx/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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