/*
// Copyright (c) 2018 Intel Corporation
//
// 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.
*/

#include "reorder_kernel_to_yxfb_batched.h"
#include "kernel_selector_utils.h"
 
namespace kernel_selector
{
    ParamsKey ReorderKernel_to_yxfb_batched::GetSupportedKey() const
    {
        ParamsKey k;
        k.EnableInputDataType(Datatype::F16);
        k.EnableInputDataType(Datatype::F32);
        k.EnableOutputDataType(Datatype::F16);
        k.EnableOutputDataType(Datatype::F32);
        k.EnableDifferentTypes();
        k.EnableAllInputLayout();
        k.EnableOutputLayout(DataLayout::yxfb);
        k.EnableTensorOffset();
        k.EnableTensorPitches();
        k.EnableBatching();
        return k;
    }

    bool ReorderKernel_to_yxfb_batched::Validate(const Params& params, const optional_params& o) const
    {
        if (!ReorderKernelBase::Validate(params, o))
        {
            return false;
        }

        const reorder_params& r_params = static_cast<const reorder_params&>(params);

        const auto& output = r_params.output;
        // output cannot have padding for this implementation
        if (output.X().pad.Total() != 0 ||
            output.Y().pad.Total() != 0 ||
            output.Feature().pad.Total() != 0 ||
            output.Batch().pad.Total() != 0)
        {
            return false;
        }

        return true;
    }

    JitConstants ReorderKernel_to_yxfb_batched::GetJitConstants(const reorder_params& params) const
    {
        auto jit = ReorderKernelBase::GetJitConstants(params);
        jit.Merge(GetTensorFriendlyWorkGroupsJit(params.inputs[0]));

        KernelData kd = KernelData::Default<reorder_params>(params);
        reorder_params& newParams = *static_cast<reorder_params*>(kd.params.get());

        const auto& input = newParams.inputs[0];
        jit.AddConstant(MakeJitConstant("ELEMENTS_COUNT", input.LogicalSize()));

        return jit;
    }

    ReorderKernelBase::DispatchData ReorderKernel_to_yxfb_batched::SetDefault(const reorder_params& params) const
    {
        DispatchData kd;

        const auto& input = params.inputs[0];

        unsigned int gws = (unsigned int)input.LogicalSize();

        kd.gws0 = Align(gws, 8 * input.Batch().v) / input.Batch().v;
        kd.gws1 = 1;
        kd.gws2 = 1;

        kd.lws0 = 8;
        kd.lws1 = 1;
        kd.lws2 = 1;

        return kd;
    }

    KernelsData ReorderKernel_to_yxfb_batched::GetKernelsData(const Params& params, const optional_params& options) const
    {
        assert(params.GetType() == KernelType::REORDER);

        const reorder_params& orgParams = static_cast<const reorder_params&>(params);

        auto estimatedTime = FORCE_PRIORITY_1;

        // this algorithm is designed to perform well on multiple batches, so if batch is 1, then don't use it
        if (orgParams.inputs[0].Batch().v == 1)
            estimatedTime = DONT_USE_IF_HAVE_SOMETHING_ELSE;

        return GetCommonKernelsData(orgParams, options, estimatedTime);
    }
}