mirror of
https://github.com/vee1e/tflite-micro.git
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56 lines
No EOL
2.2 KiB
C++
56 lines
No EOL
2.2 KiB
C++
/* Copyright 2021 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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// This file and the associated .cc file is branched from
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// tensorflow/lite/kernels/internal/reference/portable_tensor_utils*
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// TFLM needs to create its own because the original files are coupled with
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// the tensor_utils module, which we cannot reuse due to its use of the
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// Eigen library.
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#ifndef TENSORFLOW_LITE_MICRO_KERNELS_MICRO_TENSOR_UTILS_H_
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#define TENSORFLOW_LITE_MICRO_KERNELS_MICRO_TENSOR_UTILS_H_
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#include <algorithm>
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#include <cmath>
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#include <cstdint>
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#include "tensorflow/lite/c/builtin_op_data.h"
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/kernels/internal/portable_tensor_utils.h"
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#if defined(_MSC_VER)
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#define __restrict__ __restrict
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#endif
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namespace tflite {
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// Not all backends support CpuBackendContext usage, so forward declare to avoid
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// pulling in its implementation.
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// TODO(b/230666277): consider removing this since micro does not utilize it
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class CpuBackendContext;
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// Apply sigmoid to elements of a vector.
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void PortableApplySigmoidToVector(const float* vector, int v_size,
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float* result);
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// Apply tanh to elements of a vector
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void PortableApplyTanhToVector(const float* vector, int v_size, float* result);
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// Apply appropriate activation function to elements of a vector.
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void PortableApplyActivationToVector(const float* vector, int v_size,
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TfLiteFusedActivation activation,
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float* result);
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} // namespace tflite
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#endif // TENSORFLOW_LITE_MICRO_KERNELS_MICRO_TENSOR_UTILS_H_
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