/* Copyright 2020 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_DELEGATES_GPU_COMMON_QUANTIZATION_UTIL_H_
#define TENSORFLOW_LITE_DELEGATES_GPU_COMMON_QUANTIZATION_UTIL_H_

#include <stdint.h>

#include <vector>

#include "absl/container/flat_hash_map.h"
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/delegates/gpu/common/status.h"

namespace tflite {
namespace gpu {

// Dequantizes input tensors pre-inference, leaving float tensors intact.
// input_indices contains dequantized (fp32) outputs, that are used as
// inputs to GPU delegate.
// quant_conversion_map contains bidirectional mapping between dequantized
// tensor and its original quantized one.
absl::Status DequantizeInputs(
    TfLiteContext* context, const std::vector<uint32_t>& input_indices,
    const absl::flat_hash_map<int, int>& quant_conversion_map);

absl::Status DequantizeInputs(
    TfLiteContext* context, const std::vector<int64_t>& input_indices,
    const absl::flat_hash_map<int, int>& quant_conversion_map);

// Quantizes output tensors post-inference, leaving float tensors intact.
// output_indices contains (fp32) inputs to be quantized, which are outputs of
// GPU delegate.
// quant_conversion_map contains bidirectional mapping between dequantized
// tensor and its original quantized one.
absl::Status QuantizeOutputs(
    TfLiteContext* context, const std::vector<uint32_t>& output_indices,
    const absl::flat_hash_map<int, int>& quant_conversion_map);

absl::Status QuantizeOutputs(
    TfLiteContext* context, const std::vector<int64_t>& output_indices,
    const absl::flat_hash_map<int, int>& quant_conversion_map);
}  // namespace gpu
}  // namespace tflite

#endif  // TENSORFLOW_LITE_DELEGATES_GPU_COMMON_QUANTIZATION_UTIL_H_