/*
 * Copyright (c) 2019-2023, NVIDIA CORPORATION.  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.
 */

#pragma once

#include "src/fastertransformer/layers/attention_layers/BaseAttentionLayer.h"

namespace fastertransformer {

template<typename T>
class UnfusedAttentionLayer: public BaseAttentionLayer<T> {
private:
    // metadata
    size_t head_num_;
    size_t size_per_head_;
    size_t hidden_units_;
    size_t d_model_;
    bool   sparse_;
    float  q_scaling_;

    void allocateBuffer() override;
    void freeBuffer() override;
    void allocateBuffer(size_t batch_size, size_t seq_len);

protected:
    using BaseAttentionLayer<T>::stream_;
    using BaseAttentionLayer<T>::is_free_buffer_after_forward_;
    using BaseAttentionLayer<T>::is_allocate_buffer_;
    using BaseAttentionLayer<T>::cublas_wrapper_;
    using BaseAttentionLayer<T>::allocator_;

    T* q_buf_     = nullptr;
    T* k_buf_     = nullptr;
    T* v_buf_     = nullptr;
    T* q_buf_2_   = nullptr;
    T* k_buf_2_   = nullptr;
    T* v_buf_2_   = nullptr;
    T* qk_buf_    = nullptr;
    T* qkv_buf_   = nullptr;
    T* qkv_buf_2_ = nullptr;

    T** batch_qkv_kernel_ptr_ = nullptr;
    T** batch_qkv_input_ptr_  = nullptr;
    T** batch_qkv_buf_ptr_    = nullptr;

public:
    UnfusedAttentionLayer(size_t           max_batch_size,
                          size_t           max_seq_len,
                          size_t           head_num,
                          size_t           size_per_head,
                          float            q_scaling,
                          cudaStream_t     stream,
                          cublasMMWrapper* cublas_wrapper,
                          IAllocator*      allocator,
                          bool             is_free_buffer_after_forward,
                          bool             sparse = false);

    UnfusedAttentionLayer(size_t           max_batch_size,
                          size_t           max_seq_len,
                          size_t           head_num,
                          size_t           size_per_head,
                          size_t           d_model,
                          float            q_scaling,
                          cudaStream_t     stream,
                          cublasMMWrapper* cublas_wrapper,
                          IAllocator*      allocator,
                          bool             is_free_buffer_after_forward,
                          bool             sparse = false);

    UnfusedAttentionLayer(UnfusedAttentionLayer<T> const& attention_layer);

    ~UnfusedAttentionLayer();

    void
    forward(TensorMap* output_tensors, TensorMap* input_tensors, const AttentionWeight<T>* attention_weights) override;
};

}  // namespace fastertransformer
