//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "GpuFsaConvolution2dValidate.hpp"

#include <armnn/Types.hpp>
#include <armnn/utility/IgnoreUnused.hpp>

#include <aclCommon/ArmComputeTensorUtils.hpp>

#include <arm_compute/core/ITensorInfo.h>
#include <arm_compute/core/TensorInfo.h>
#include <arm_compute/core/TensorShape.h>
#include <arm_compute/core/CL/CLKernelLibrary.h>
#include <arm_compute/core/CL/CLCompileContext.h>

#include <arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h>
#include <arm_compute/dynamic_fusion/sketch/OperatorAttributes.h>
#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h>
#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h>
#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuConv2d.h>

#include <vector>
#include <iostream>

namespace armnn
{

using namespace armcomputetensorutils;

arm_compute::Status GpuFsaConvolution2dValidate(const TensorInfo& input,
                                                const Convolution2dDescriptor& descriptor,
                                                const TensorInfo& weights,
                                                const Optional<TensorInfo>& biases)
{
    using namespace arm_compute::experimental::dynamic_fusion;

    // Create a new workload sketch, for validation purposes
    auto compileCtx = arm_compute::CLKernelLibrary::get().get_compile_context();
    auto gpuCtx     = GpuWorkloadContext(&compileCtx);
    GpuWorkloadSketch sketch{ &gpuCtx };

    // Build and create tensor infos using the sketch
    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
    arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
    aclWeightsInfo.set_are_values_constant(weights.IsConstant());

    auto inputInfo  = sketch.create_tensor_info(aclInputInfo);
    auto weightInfo = sketch.create_tensor_info(aclWeightsInfo);

    // Only create the bias tensor info if enabled, otherwise pass nullptr to validate_op
    arm_compute::TensorInfo  aclBiasInfo;
    arm_compute::TensorInfo  biasSketchInfo;
    arm_compute::TensorInfo* biasSketchInfoPtr = nullptr;

    if (descriptor.m_BiasEnabled)
    {
        ARMNN_ASSERT(biases.has_value());
        aclBiasInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
        aclBiasInfo.set_are_values_constant(biases.value().IsConstant());

        biasSketchInfo = sketch.create_tensor_info(aclBiasInfo);
        biasSketchInfoPtr = &biasSketchInfo;
    }

    // Set Conv2d attributes using descriptor
    const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(descriptor.m_DilationX, descriptor.m_DilationY);
    const arm_compute::Padding2D aclPadInfo   = BuildArmComputePaddingInfo(descriptor);
    const arm_compute::Size2D aclStrideInfo   = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY);

    Conv2dAttributes conv2DAttributes{};
    conv2DAttributes.dilation(aclDilationInfo);
    conv2DAttributes.pad(aclPadInfo);
    conv2DAttributes.stride(aclStrideInfo);

    {
        // Validate operator, check status and update reasonIfUnsupported
        return GpuConv2d::validate_op(sketch,
                                      &inputInfo,
                                      &weightInfo,
                                      biasSketchInfoPtr,
                                      conv2DAttributes);
    }
}

} // namespace armnn