/****************************************************************************
*
*    Copyright (c) 2020 Vivante Corporation
*
*    Permission is hereby granted, free of charge, to any person obtaining a
*    copy of this software and associated documentation files (the "Software"),
*    to deal in the Software without restriction, including without limitation
*    the rights to use, copy, modify, merge, publish, distribute, sublicense,
*    and/or sell copies of the Software, and to permit persons to whom the
*    Software is furnished to do so, subject to the following conditions:
*
*    The above copyright notice and this permission notice shall be included in
*    all copies or substantial portions of the Software.
*
*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
*    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
*    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
*    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
*    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
*    DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/


#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include "vsi_nn_types.h"
#include "vsi_nn_tensor.h"
#include "vsi_nn_graph.h"
#include "vsi_nn_log.h"
#include "vsi_nn_error.h"
#include "vsi_nn_prv.h"
#include "vsi_nn_tensor_util.h"
#include "utils/vsi_nn_util.h"
#include "kernel/vsi_nn_kernel.h"
#include "utils/vsi_nn_dtype_util.h"

__BEGIN_DECLS

#define _ONE_HOT_KERNEL_SOURCE      "one_hot"

// Add kernel hashtable here
#define HASH_ONE_HOT_SH_KERNEL_NAME(SRC_TYPE, DST_TYPE) \
    CVIVANTE_NAMESPACE("evis.one_hot_"#SRC_TYPE"to"#DST_TYPE)

#define ONE_HOT_HASH_KEY( IN_DTYPE, OUT_DTYPE, IMG_2D ) \
        (( IN_DTYPE << 9 ) | ( OUT_DTYPE << 1) | (IMG_2D))

#define PACK_ONE_HOT_KERNEL_3D( IN_DTYPE, OUT_DTYPE ) \
{ ONE_HOT_HASH_KEY( IN_DTYPE, OUT_DTYPE, 0 ), \
  CVIVANTE_NAMESPACE("evis.one_hot_"#IN_DTYPE"to"#OUT_DTYPE), \
  _ONE_HOT_KERNEL_SOURCE }

#define PACK_ONE_HOT_KERNEL_2D( IN_DTYPE, OUT_DTYPE ) \
{ ONE_HOT_HASH_KEY( IN_DTYPE, OUT_DTYPE, 1 ), \
  CVIVANTE_NAMESPACE("evis.one_hot_"#IN_DTYPE"to"#OUT_DTYPE"_2D"), \
  _ONE_HOT_KERNEL_SOURCE }

typedef struct
{
    uint32_t key;
    char * function_name;
    const char * source_name;
} _kernel_map_type;

static const _kernel_map_type _one_hot_kernel_map[] =
{
    // Register kernel here
    PACK_ONE_HOT_KERNEL_3D( U8,  U8 ),
    PACK_ONE_HOT_KERNEL_3D( U8,  F16 ),
    PACK_ONE_HOT_KERNEL_3D( I8,  I8 ),
    PACK_ONE_HOT_KERNEL_3D( I8,  F16 ),
    PACK_ONE_HOT_KERNEL_3D( I16, I16 ),
    PACK_ONE_HOT_KERNEL_3D( I16, F16 ),
    PACK_ONE_HOT_KERNEL_3D( F16, F16 ),
    PACK_ONE_HOT_KERNEL_3D( F16, I16 ),
    PACK_ONE_HOT_KERNEL_3D( F16, U8 ),
    PACK_ONE_HOT_KERNEL_3D( F16, I8 ),

    PACK_ONE_HOT_KERNEL_2D( U8,  U8 ),
    PACK_ONE_HOT_KERNEL_2D( U8,  F16 ),
    PACK_ONE_HOT_KERNEL_2D( I8,  I8 ),
    PACK_ONE_HOT_KERNEL_2D( I8,  F16 ),
    PACK_ONE_HOT_KERNEL_2D( I16, I16 ),
    PACK_ONE_HOT_KERNEL_2D( I16, F16 ),
    PACK_ONE_HOT_KERNEL_2D( F16, F16 ),
    PACK_ONE_HOT_KERNEL_2D( F16, I16 ),
    PACK_ONE_HOT_KERNEL_2D( F16, U8 ),
    PACK_ONE_HOT_KERNEL_2D( F16, I8 ),
};


/*
 * Kernel params
 */
static vx_param_description_t _one_hot_kernel_param_def[] =
{
    {VX_INPUT,  VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED},
    {VX_OUTPUT, VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED},
    {VX_INPUT,  VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED},
    {VX_INPUT,  VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED},
    {VX_INPUT,  VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED},
};
#define SCALAR_INPUT_SUFFIX_SIZE     (2)
#define SCALAR_INPUT_ON_VALUE        (3)
#define SCALAR_INPUT_OFF_VALUE       (4)
#define _ONE_HOT_PARAM_NUM  _cnt_of_array( _one_hot_kernel_param_def )

/*
 * Kernel initializer
 */
DEF_KERNEL_INITIALIZER(_one_hot_initializer)
    (
    vsi_nn_kernel_node_t                node,
    const vsi_nn_kernel_node_param_t  * param,
    size_t                              param_size
    )
{
    gpu_param_t gpu_param = {
        2,         // workdim
        {0, 0, 0}, // globalWorkOffset: control the start location be processed in the image
        {0, 0, 0}, // globalWorkScale: how many pixels could be processed by a single thread
        {0, 0, 0}, // localWorkSize: local group size in thread
        {0, 0, 0}  // globalWorkSize: image size in thread
        };

    vsi_status status = VSI_FAILURE;
    vsi_nn_kernel_tensor_attr_t * attr[2] = { NULL };
    vsi_size_array_t * in_shape = NULL;
    int32_t   suffix_size       = 0;
    int32_t   depth             = 0;
    int32_t   input_zp          = 0;
    float     scaleIn           = 1.0f;
    int32_t   srcFixPointPos    = 0;
    vsi_nn_kernel_dtype_e input_dtype  = F16;

    attr[0] = vsi_nn_kernel_tensor_attr_create( (vsi_nn_kernel_tensor_t)param[0] );
    CHECK_PTR_FAIL_GOTO( attr[0], "Create tensor attr buffer fail.", final );
    attr[1] = vsi_nn_kernel_tensor_attr_create( (vsi_nn_kernel_tensor_t)param[1] );
    CHECK_PTR_FAIL_GOTO( attr[1], "Create tensor attr buffer fail.", final );

    vsi_nn_kernel_scalar_read_int32((vsi_nn_kernel_scalar_t)param[SCALAR_INPUT_SUFFIX_SIZE], &(suffix_size));

    in_shape = attr[0]->shape;
    depth = (int32_t)(attr[1]->shape->data[1]);
    input_dtype  = attr[0]->dtype;

    if (VSI_NN_KERNEL_QUANT_DFP == attr[0]->quant)
    {
        srcFixPointPos   = attr[0]->dfp.fl;
    }
    else if (VSI_NN_KERNEL_QUANT_ASYMM == attr[0]->quant)
    {
        input_zp = attr[0]->asymm.zero_point;
        scaleIn  = attr[0]->asymm.scale;
    }

    if (suffix_size == 1)
    {
        gpu_param.global_scale[0] = 4;
        gpu_param.global_scale[1] = 1;

        depth = (int32_t)(attr[1]->shape->data[0]);
    }
    else
    {
        gpu_param.global_scale[0] = 1;
        gpu_param.global_scale[1] = 1;
    }

    gpu_param.global_size[0] = gpu_align_p2(
            (in_shape->data[0] + gpu_param.global_scale[0] - 1)
            / gpu_param.global_scale[0], 4);
    gpu_param.global_size[1] = in_shape->data[1];

    switch (input_dtype)
    {
    case I16:
    case I8:
    case F16:
    {
        gpu_dp_inst_t uniDataConvert_0_4x4 = {{
            0x01010101, // TCfg
            0x00000000, // ASelt
            0x00010000, 0x00030002, // ABin
            0x02020202, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00000600, // AccumType, ConstantType, and PostShift
            0x00000001, 0x00000000, 0x00000001, 0x00000000,
            0x00000001, 0x00000000, 0x00000001, 0x00000000 // Constant
        }, GPU_DP_TYPE_16};
        gpu_dp_inst_t uniDataConvert_1_4x4 = {{
            0x01010101, // TCfg
            0x00000000, // ASelt
            0x00050004, 0x00070006, // ABin
            0x02020202, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00000600, // AccumType, ConstantType, and PostShift
            0x00000001, 0x00000000, 0x00000001, 0x00000000,
            0x00000001, 0x00000000, 0x00000001, 0x00000000 // Constant
        }, GPU_DP_TYPE_16};
        gpu_dp_inst_t uniExtractInteger_2x8 = {{
            0x33333333, // TCfg
            0x11110000, // ASelt
            0x03020100, 0x03020100, // ABin
            0x00000000, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00002400, // AccumType, ConstantType, and PostShift
            0x00000000, 0x00000000, 0x00000000, 0x00000000,
            0x00000000, 0x00000000, 0x00000000, 0x00000000 // Constant
        }, GPU_DP_TYPE_16 };

        gpu_dp_inst_update_postshfit( &uniDataConvert_0_4x4, srcFixPointPos );
        gpu_dp_inst_update_postshfit( &uniDataConvert_1_4x4, srcFixPointPos );

        status = vsi_nn_kernel_gpu_add_param( node,
            "uniDataConvert_0_4x4", &uniDataConvert_0_4x4 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "uniDataConvert_1_4x4", &uniDataConvert_1_4x4 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "uniExtract8Data_2x8", &uniExtractInteger_2x8 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "depth", &depth );
        CHECK_STATUS_FAIL_GOTO(status, final );
    }
    break;
    case U8:
    {
        gpu_dp_inst_t uniDataConvert_0_4x4 = {{
            0x01010101, // TCfg
            0x00000000, // ASelt
            0x00010000, 0x00030002, // ABin
            0x02020202, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00000600, // AccumType, ConstantType, and PostShift
            0x00000001, 0x00000000, 0x00000001, 0x00000000,
            0x00000001, 0x00000000, 0x00000001, 0x00000000 // Constant
        }, GPU_DP_TYPE_16};
        gpu_dp_inst_t uniDataConvert_1_4x4 = {{
            0x01010101, // TCfg
            0x00000000, // ASelt
            0x00050004, 0x00070006, // ABin
            0x02020202, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00000600, // AccumType, ConstantType, and PostShift
            0x00000001, 0x00000000, 0x00000001, 0x00000000,
            0x00000001, 0x00000000, 0x00000001, 0x00000000 // Constant
        }, GPU_DP_TYPE_16};
        gpu_dp_inst_t uniExtractInteger_2x8 = {{
            0x33333333, // TCfg
            0x11110000, // ASelt
            0x03020100, 0x03020100, // ABin
            0x00000000, // BSelt
            0x00000000, 0x00000000, // BBin
            0x00002400, // AccumType, ConstantType, and PostShift
            0x00000000, 0x00000000, 0x00000000, 0x00000000,
            0x00000000, 0x00000000, 0x00000000, 0x00000000 // Constant
        }, GPU_DP_TYPE_16 };
        float input_tail = 0 - (float)input_zp * scaleIn;

        status = vsi_nn_kernel_gpu_add_param( node,
            "uniDataConvert_0_4x4", &uniDataConvert_0_4x4 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "uniDataConvert_1_4x4", &uniDataConvert_1_4x4 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "uniExtract8Data_2x8", &uniExtractInteger_2x8 );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "input_scale", &scaleIn );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "input_tail", &input_tail );
        status |= vsi_nn_kernel_gpu_add_param( node,
            "depth", &depth );
        CHECK_STATUS_FAIL_GOTO(status, final );
    }
    default:
        break;
    }

    status = vsi_nn_kernel_gpu_config( node, &gpu_param );
final:
#define SAFE_FREE_TENSOR_ATTR(_PTR) if ( _PTR ) { vsi_nn_kernel_tensor_attr_release( &_PTR ); _PTR = NULL; }
    SAFE_FREE_TENSOR_ATTR(attr[0]);
    SAFE_FREE_TENSOR_ATTR(attr[1]);
#undef SAFE_FREE_TENSOR_ATTR

    return status;
} /* _one_hot_initializer() */


/*
 * Query kernel
 */
static vsi_status _query_kernel
    (
    vsi_nn_kernel_t * kernel,
    vsi_nn_tensor_t * const * const inputs,
    vsi_nn_tensor_t * const * const outputs,
    vsi_bool image_2d
    )
{
    vsi_status status = VSI_FAILURE;
    vsi_nn_kernel_dtype_e in_dtype;
    vsi_nn_kernel_dtype_e out_dtype;
    const _kernel_map_type * kernel_map = _one_hot_kernel_map;
    size_t kernel_map_size              = _cnt_of_array( _one_hot_kernel_map );
    vx_param_description_t * param_def  = _one_hot_kernel_param_def;
    vx_kernel_initialize_f  initializer = _one_hot_initializer;

    uint32_t key;
    uint32_t i;

    in_dtype  = vsi_nn_kernel_map_dtype( inputs[0]->attr.dtype.vx_type );
    out_dtype = vsi_nn_kernel_map_dtype( outputs[0]->attr.dtype.vx_type );

    key = ONE_HOT_HASH_KEY( in_dtype, out_dtype, image_2d );

    for ( i = 0; i < (uint32_t)kernel_map_size; i ++ )
    {
        if ( kernel_map[i].key == key )
        {
            break;
        }
    }
    if ( i < (uint32_t)kernel_map_size )
    {
        snprintf( kernel->info.name, VX_MAX_KERNEL_NAME, "%s",  kernel_map[i].function_name );
        kernel->info.parameters  = param_def;
        kernel->info.numParams   = _cnt_of_array( _one_hot_kernel_param_def );
        kernel->info.initialize  = initializer;
        // Register code source
        vsi_nn_kernel_add_source( kernel, VSI_NN_GPU_SOURCE_FMT_CODE, 2,
                "vsi_nn_kernel_header",
                kernel_map[i].source_name );
        // Register binary source
        vsi_nn_kernel_add_source( kernel, VSI_NN_GPU_SOURCE_FMT_EXECUTABLE, 1,
                kernel_map[i].source_name );
        status = VSI_SUCCESS;
    }

    return status;
} /* _query_kernel() */


static vsi_nn_kernel_node_t _setup
    (
    vsi_nn_graph_t              * graph,
    vsi_nn_tensor_t            ** inputs,
    size_t                        input_num,
    vsi_nn_tensor_t            ** outputs,
    size_t                        output_num,
    const vsi_nn_kernel_param_t * params,
    vsi_nn_kernel_t             * kernel
    )
{
    vsi_status status = VSI_FAILURE;
    vsi_nn_kernel_node_param_t node_params[_ONE_HOT_PARAM_NUM] = {NULL};
    vsi_nn_kernel_node_t node = NULL;
    vsi_nn_tensor_t* rs_tensors[2] = { NULL };
    vsi_size_t shape[2][VSI_NN_MAX_DIM_NUM] = {{ 0 }};
    int32_t i = 0;
    vsi_bool image_2d = FALSE;
    vsi_size_t num_elements = vsi_nn_vxGetTensorElementNum(&inputs[0]->attr);
    vsi_size_t prefix_dim_size = 1;
    vsi_size_t suffix_dim_size = 0;
    int32_t depth = vsi_nn_kernel_param_get_int32( params, "depth" );
    uint32_t data_u32[2] = {0};
    float on_value = vsi_nn_kernel_param_get_float32( params, "on_value" );
    float off_value = vsi_nn_kernel_param_get_float32( params, "off_value" );
    int32_t axis = vsi_nn_kernel_param_get_int32( params, "axis" );

    vsi_nn_Float32ToDtype(on_value, (uint8_t*)&data_u32[0], &outputs[0]->attr.dtype);
    vsi_nn_Float32ToDtype(off_value, (uint8_t*)&data_u32[1], &outputs[0]->attr.dtype);

    axis = axis == -1 ? (int32_t)inputs[0]->attr.dim_num : (int32_t)inputs[0]->attr.dim_num - axis;
    for (i = 0; i < axis; i++)
    {
        prefix_dim_size *= inputs[0]->attr.size[i];
    }

    suffix_dim_size = (int32_t)(num_elements / prefix_dim_size);

    if (suffix_dim_size == 1)
    {
        shape[0][0] = prefix_dim_size;
        shape[0][1] = 1;
        shape[1][0] = depth;
        shape[1][1] = prefix_dim_size;
        shape[1][2] = 1;
    }
    else
    {
        shape[0][0] = suffix_dim_size;
        shape[0][1] = prefix_dim_size;
        shape[1][0] = suffix_dim_size;
        shape[1][1] = depth;
        shape[1][2] = prefix_dim_size;
    }

    rs_tensors[0] = vsi_nn_reshape_tensor( graph,
        inputs[0], shape[0], 2 );
    rs_tensors[1] = vsi_nn_reshape_tensor( graph,
        outputs[0], shape[1], 3 );

    if ( !vsi_nn_kernel_gpu_check_shape( rs_tensors[1]->attr.size,
                rs_tensors[1]->attr.dim_num ) )
    {
        return NULL;
    }

    image_2d = suffix_dim_size == 1;

    status = _query_kernel( kernel, inputs, outputs, image_2d );
    if ( VSI_SUCCESS == status)
    {
        node = vsi_nn_kernel_create_node( graph, kernel );
        if ( node )
        {
            /* Set inputs and outputs */
            vsi_nn_kernel_node_pack_io( node_params, _ONE_HOT_PARAM_NUM,
                    &rs_tensors[0], input_num, &rs_tensors[1], output_num );
            node_params[SCALAR_INPUT_SUFFIX_SIZE] = vsi_nn_kernel_scalar_create(
                    graph, I32, &suffix_dim_size );
            node_params[SCALAR_INPUT_ON_VALUE] = vsi_nn_kernel_scalar_create(
                graph, U32, &data_u32[0] );
            node_params[SCALAR_INPUT_OFF_VALUE] = vsi_nn_kernel_scalar_create(
                graph, U32, &data_u32[1] );

            /* Pass parameters to node. */
            status  = vsi_nn_kernel_node_pass_param( node, node_params, _ONE_HOT_PARAM_NUM );
            CHECK_STATUS_FAIL_GOTO( status, final );
        }
    }
final:
    if (rs_tensors[0])
    {
        vsi_nn_ReleaseTensor( &rs_tensors[0] );
    }

    if (rs_tensors[1])
    {
        vsi_nn_ReleaseTensor( &rs_tensors[1] );
    }

    for (i = SCALAR_INPUT_SUFFIX_SIZE; i < _ONE_HOT_PARAM_NUM; i++)
    {
        if (node_params[i])
        {
            vsi_nn_kernel_scalar_release( &node_params[i] );
        }
    }

    return node;
} /* _setup() */

__END_DECLS

REGISTER_BACKEND_EVIS( one_hot, _setup )

