#include "kernels.h"

static vx_status VX_CALLBACK validate(vx_node node, const vx_reference *parameters, vx_uint32 num, vx_meta_format metas[])
{
    // check tensor dims.
    vx_enum type;
    vx_size num_dims;
    vx_size input_dims[4],  output_dims[4];
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
    if (num_dims != 4) return VX_ERROR_INVALID_DIMENSION;
    if ((type != VX_TYPE_FLOAT32) && (type!= VX_TYPE_FLOAT16)) return VX_ERROR_INVALID_TYPE;
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DIMS, input_dims, sizeof(input_dims)));

    vx_size order_cap = 0;
    vx_size itemsize = 0;
    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_ITEMTYPE, &type, sizeof(type)));
    if(type != VX_TYPE_INT32) return VX_ERROR_INVALID_TYPE;
    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_CAPACITY, &order_cap, sizeof(order_cap)));
    if(order_cap != 4) return VX_ERROR_INVALID_DIMENSION;
    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_ITEMSIZE, &itemsize, sizeof(itemsize)));
    if(itemsize != sizeof(int)) return VX_ERROR_INVALID_TYPE;


    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
    if (num_dims != 4) return VX_ERROR_INVALID_DIMENSION;
    if ((type != VX_TYPE_FLOAT32) && (type != VX_TYPE_FLOAT16)) return VX_ERROR_INVALID_TYPE;
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));

    // output tensor configuration
    type = VX_TYPE_FLOAT32;
    num_dims = 4;
    ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[2], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
    ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[2], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
    ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[2], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));
    return VX_SUCCESS;
}

//! \brief The kernel target support callback.
static vx_status VX_CALLBACK query_target_support(vx_graph graph, vx_node node,
    vx_bool use_opencl_1_2,              // [input]  false: OpenCL driver is 2.0+; true: OpenCL driver is 1.2
    vx_uint32& supported_target_affinity // [output] must be set to AGO_TARGET_AFFINITY_CPU or AGO_TARGET_AFFINITY_GPU or (AGO_TARGET_AFFINITY_CPU | AGO_TARGET_AFFINITY_GPU)
    )
{

    supported_target_affinity = AGO_TARGET_AFFINITY_GPU;
    return VX_SUCCESS;
}

#if ENABLE_OPENCL
static vx_status VX_CALLBACK opencl_codegen(
    vx_node node,                                  // [input] node
    const vx_reference parameters[],               // [input] parameters
    vx_uint32 num,                                 // [input] number of parameters
    bool opencl_load_function,                     // [input]  false: normal OpenCL kernel; true: reserved
    char opencl_kernel_function_name[64],          // [output] kernel_name for clCreateKernel()
    std::string& opencl_kernel_code,               // [output] string for clCreateProgramWithSource()
    std::string& opencl_build_options,             // [output] options for clBuildProgram()
    vx_uint32& opencl_work_dim,                    // [output] work_dim for clEnqueueNDRangeKernel()
    vx_size opencl_global_work[],                  // [output] global_work[] for clEnqueueNDRangeKernel()
    vx_size opencl_local_work[],                   // [output] local_work[] for clEnqueueNDRangeKernel()
    vx_uint32& opencl_local_buffer_usage_mask,     // [output] reserved: must be ZERO
    vx_uint32& opencl_local_buffer_size_in_bytes   // [output] reserved: must be ZERO
)
{
    //get tensor dimensions
    vx_size input_dims[4], output_dims[4];
    vx_size num_of_dims;
    vx_enum type;
    vx_size input_stride[4], output_stride[4];

    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_NUMBER_OF_DIMS, &num_of_dims, sizeof(num_of_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DIMS, input_dims, sizeof(input_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_STRIDE_GPU, input_stride, sizeof(input_stride)));

    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_NUMBER_OF_DIMS, &num_of_dims, sizeof(num_of_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_STRIDE_GPU, output_stride, sizeof(output_stride)));

    vx_array order_buf;
    vx_size order_cap, order_numitems;
    order_buf = (vx_array)parameters[1];
    ERROR_CHECK_STATUS(vxQueryArray(order_buf, VX_ARRAY_CAPACITY, &order_cap, sizeof(order_cap)));
    ERROR_CHECK_STATUS(vxQueryArray(order_buf, VX_ARRAY_NUMITEMS, &order_numitems, sizeof(order_numitems)));
    ERROR_CHECK_STATUS(vxReleaseArray(&order_buf));

    strcpy(opencl_kernel_function_name, "permute_layer");

    opencl_work_dim = 3;
    opencl_global_work[0] = output_dims[0];
    opencl_global_work[1] = output_dims[1];
    opencl_global_work[2] = output_dims[2]*output_dims[3];

    // Setting variables required by the interface
    opencl_local_buffer_usage_mask = 0;
    opencl_local_buffer_size_in_bytes = 0;

    if (num_of_dims == 4) {
        char item[8192];
        sprintf(item,
            "#pragma OPENCL EXTENSION cl_amd_media_ops : enable\n"
            "__kernel void %s(__global uchar * in, uint in_offset, uint4 in_stride, __global uchar * order_buf, uint order_offset, uint order_num,"\
            "                 __global uchar * out, uint out_offset, uint4 out_stride)\n"
            "{   \n"
            "   uint c = get_global_id(0); \n "
            "   uint x = get_global_id(1); \n "
            "   uint y = get_global_id(2); \n "
            "   int num_axis = %d; \n"
            "   int i = y*out_stride.s2 + x*out_stride.s1 + c*out_stride.s0; \n"
            "   int old_idx = 0; \n"
            "   int idx = i; \n"
            "   for(int k = num_axis-1, j = 0; k >= 0; k--, j++) {  \n"
            "       int order = 3- ((__global int *)(order_buf+order_offset))[j]; \n"
            "       old_idx += (idx/out_stride[k]) * (in_stride[order]);  \n"
            "       idx %%= (out_stride[k]);  \n"
            "   } \n"
            "   out += out_offset + i; \n"
            "   in += in_offset + old_idx; \n"
            "   *(__global float *)&out[0] = *(__global float *)&in[0];  \n"
            "}\n", opencl_kernel_function_name, (int)order_cap);
        opencl_kernel_code = item;
    }
    return VX_SUCCESS;
}
#endif

//! \brief The kernel execution.
static vx_status VX_CALLBACK host_kernel(vx_node node, const vx_reference * parameters, vx_uint32 num)
{
#if ENABLE_HIP
    vx_size num_of_dims;
    vx_size temp[4] = {0};
    vx_size input_offset, output_offset, order_offset;
    uint4 input_stride, output_dims, output_stride;
    unsigned char *input_mem = NULL;
    unsigned char *output_mem = NULL;
    unsigned char *order_mem = NULL;
    vx_size order_cap;
    hipStream_t hip_stream;

    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_NUMBER_OF_DIMS, &num_of_dims, sizeof(num_of_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_BUFFER_HIP, &input_mem, sizeof(input_mem)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_OFFSET_GPU, &input_offset, sizeof(input_offset)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_STRIDE_GPU, &temp, sizeof(temp)));
    input_stride.x = temp[0];
    input_stride.y = temp[1];
    input_stride.z = temp[2];
    input_stride.w = temp[3];

    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_BUFFER_HIP, &order_mem, sizeof(order_mem)));
    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_OFFSET_GPU, &order_offset, sizeof(order_offset)));
    ERROR_CHECK_STATUS(vxQueryArray((vx_array)parameters[1], VX_ARRAY_CAPACITY, &order_cap, sizeof(order_cap)));

    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_NUMBER_OF_DIMS, &num_of_dims, sizeof(num_of_dims)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_DIMS, temp, sizeof(temp)));
    output_dims.x = temp[0];
    output_dims.y = temp[1];
    output_dims.z = temp[2];
    output_dims.w = temp[3];
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_BUFFER_HIP, &output_mem, sizeof(output_mem)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_OFFSET_GPU, &output_offset, sizeof(output_offset)));
    ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[2], VX_TENSOR_STRIDE_GPU, &temp, sizeof(temp)));
    output_stride.x = temp[0];
    output_stride.y = temp[1];
    output_stride.z = temp[2];
    output_stride.w = temp[3];

    ERROR_CHECK_STATUS(vxQueryNode(node, VX_NODE_ATTRIBUTE_AMD_HIP_STREAM, &hip_stream, sizeof(hip_stream)));

    dim3 globalThreads;
    globalThreads.x = (output_dims.x + 3) >> 2;
    globalThreads.y = output_dims.y;
    globalThreads.z = output_dims.z * output_dims.w;

    if (HipExec_permute_layer(hip_stream, globalThreads, dim3(1), input_mem, input_offset, input_stride, order_mem, order_offset, order_cap, output_mem, output_offset, output_stride)) {
        return VX_FAILURE;
    }

    return VX_SUCCESS;

#elif ENABLE_OPENCL
    return VX_ERROR_NOT_IMPLEMENTED;
#endif
}

//! \brief The kernel publisher.
vx_status publishPermuteLayer(vx_context context)
{
    vx_kernel kernel = vxAddUserKernel(context, "com.amd.nn_extension.permute_layer", VX_KERNEL_PERMUTE_LAYER_AMD, host_kernel, 3, validate, nullptr, nullptr);
    ERROR_CHECK_OBJECT(kernel);

    amd_kernel_query_target_support_f query_target_support_f = query_target_support;
    ERROR_CHECK_STATUS(vxSetKernelAttribute(kernel, VX_KERNEL_ATTRIBUTE_AMD_QUERY_TARGET_SUPPORT, &query_target_support_f, sizeof(query_target_support_f)));
#if ENABLE_OPENCL
    amd_kernel_opencl_codegen_callback_f opencl_codegen_callback_f = opencl_codegen;
    ERROR_CHECK_STATUS(vxSetKernelAttribute(kernel, VX_KERNEL_ATTRIBUTE_AMD_OPENCL_CODEGEN_CALLBACK, &opencl_codegen_callback_f, sizeof(opencl_codegen_callback_f)));
#endif
    //set kernel parameters.
    ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 0, VX_INPUT, VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED));
    ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 1, VX_INPUT, VX_TYPE_ARRAY, VX_PARAMETER_STATE_REQUIRED));
    ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 2, VX_OUTPUT, VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED));

    //finalize and release kernel object.
    ERROR_CHECK_STATUS(vxFinalizeKernel(kernel));
    ERROR_CHECK_STATUS(vxReleaseKernel(&kernel));
    return VX_SUCCESS;
}

VX_API_ENTRY vx_node VX_API_CALL vxPermuteLayer(vx_graph graph, vx_tensor input, vx_array order, vx_tensor output)
{
    vx_node node = NULL;
    vx_context context = vxGetContext((vx_reference)graph);
    if (vxGetStatus((vx_reference)context) == VX_SUCCESS) {
        vx_reference params[] = {
            (vx_reference)input,
            (vx_reference)order,
            (vx_reference)output,
        };
        node = createNode(graph, VX_KERNEL_PERMUTE_LAYER_AMD, params, sizeof(params) / sizeof(params[0]));
    }
    return node;
}