chromium/third_party/tflite/src/tensorflow/lite/kernels/internal/reference/svdf.h

/* 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_KERNELS_INTERNAL_REFERENCE_SVDF_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SVDF_H_

#include <stdint.h>

#include <algorithm>
#include <limits>

#include "tensorflow/lite/core/c/builtin_op_data.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/internal/tensor_utils.h"
#include "tensorflow/lite/kernels/internal/types.h"

// SVDF op that compresses a fully connected op via low-rank matrix
// factorization. See https://research.google.com/pubs/archive/43813.pdf for
// details.

namespace tflite {
namespace reference_ops {

static inline void ApplyTimeWeightsBiasAndActivation(
    int batch_size, int memory_size, int num_filters, int num_units, int rank,
    const float* const __restrict__ weights_time_data,
    const float* const __restrict__ bias_ptr, TfLiteFusedActivation activation,
    float* const __restrict__ state_ptr, float* const __restrict__ scratch_ptr,
    float* const __restrict__ output_ptr) { … }

inline void EvalIntegerSVDF(
    const TfLiteSVDFParams* params, const RuntimeShape& input_shape,
    const int8_t* input_data, const RuntimeShape& weights_feature_shape,
    const int8_t* weights_feature_data, const RuntimeShape& weights_time_shape,
    const int16_t* weights_time_data, const RuntimeShape& bias_shape,
    const int32_t* bias_data, int16_t* state_data,
    const RuntimeShape& output_shape, int8_t* output_data,
    int32_t* scratch_data, int32_t* output_temp_data, int32_t scale_1_a,
    int scale_1_b, int32_t scale_2_a, int scale_2_b, int32_t input_zp,
    int32_t output_zp) { … }

inline void EvalFloatSVDF(
    const TfLiteSVDFParams* params, const RuntimeShape& input_shape,
    const float* input_data, const RuntimeShape& weights_feature_shape,
    const float* weights_feature_data, const RuntimeShape& weights_time_shape,
    const float* weights_time_data, const RuntimeShape& bias_shape,
    const float* bias_data, float* scratch_data, float* state_data,
    const RuntimeShape& output_shape, float* output_data) { … }

inline void EvalHybridSVDF(
    const TfLiteSVDFParams* params, const RuntimeShape& input_shape,
    const float* input_data, const RuntimeShape& weights_feature_shape,
    const int8_t* weights_feature_data, const float weights_feature_scale,
    const RuntimeShape& weights_time_shape, const float* weights_time_data,
    const RuntimeShape& bias_shape, const float* bias_data, float* scratch,
    float* scaling_factors, int8_t* quantized_input, float* state,
    const RuntimeShape& output_shape, float* output_data, int32_t* zero_points,
    int32_t* row_sums, bool* compute_row_sums) { … }

}  // namespace reference_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SVDF_H_