/****************************************************************************
*
*    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 <string.h>
#include <stdlib.h>

#include "vsi_nn_types.h"
#include "vsi_nn_log.h"
#include "vsi_nn_node.h"
#include "vsi_nn_prv.h"
#include "vsi_nn_ops.h"
#include "vsi_nn_tensor.h"
#include "vsi_nn_tensor_util.h"
#include "utils/vsi_nn_util.h"
#include "kernel/vsi_nn_kernel.h"
/*
 Declare number of input and output.
 */
#define _INPUT_NUM          (3)
#define _OUTPUT_NUM         (1)

static vsi_status op_compute
    (
    vsi_nn_node_t * self,
    vsi_nn_tensor_t ** inputs,
    vsi_nn_tensor_t ** outputs
    )
{
    vsi_status status = VSI_FAILURE;
    vsi_nn_kernel_param_t * param = NULL;

    param = vsi_nn_kernel_param_create();

    vsi_nn_kernel_param_add_int32( param, "stride",
            self->nn_param.depthwise_conv1d.stride );
    vsi_nn_kernel_param_add_int32( param, "pad_front",
            self->nn_param.depthwise_conv1d.pad[0] );
    vsi_nn_kernel_param_add_int32( param, "pad_end",
            self->nn_param.depthwise_conv1d.pad[1] );
    vsi_nn_kernel_param_add_int32( param, "dilation",
            self->nn_param.depthwise_conv1d.dilation );
    vsi_nn_kernel_param_add_int32( param, "multiplier",
            self->nn_param.depthwise_conv1d.multiplier );
    vsi_nn_kernel_param_add_int32( param, "overflow_policy",
            self->vx_param.overflow_policy );
    vsi_nn_kernel_param_add_int32( param, "rounding_policy",
            self->vx_param.rounding_policy );
    vsi_nn_kernel_param_add_int32( param, "down_scale_size_rounding",
            self->vx_param.down_scale_size_rounding );
    self->n = (vx_node)vsi_nn_kernel_selector( self->graph, "depthwise_conv1d",
            inputs, 3, outputs, 1, param );
    if( self->n )
    {
        status = VSI_SUCCESS;
    }

    vsi_nn_kernel_param_release( &param );
    return status;
} /* op_compute() */

static vsi_bool op_check
    (
    vsi_nn_node_t * self,
    vsi_nn_tensor_t ** inputs,
    vsi_nn_tensor_t ** outputs
    )
{
    vsi_bool ret = FALSE;

    ret = vsi_nn_OpCheck(VSI_NN_OP_CONV2D, self, inputs, outputs);

    return ret;
} /* op_check() */

static vsi_bool op_setup
    (
    vsi_nn_node_t * self,
    vsi_nn_tensor_t ** inputs,
    vsi_nn_tensor_t ** outputs
    )
{
    vsi_nn_depthwise_conv1d_param* p = &self->nn_param.depthwise_conv1d;

#ifdef VX_CONVERT_POLICY_WRAP_ENABLE
    if ( vsi_nn_compareVersion(self->graph, 1, 1, 21) == -1 )
    {
        self->vx_param.overflow_policy = VX_CONVERT_POLICY_SATURATE;
    }
#endif

    if( VSI_NN_DIM_AUTO == outputs[0]->attr.dim_num )
    {
        outputs[0]->attr.size[0] = vsi_nn_ComputeFilterSize
            (
            inputs[0]->attr.size[0],
            (uint32_t)inputs[1]->attr.size[0],
            p->pad,
            p->stride,
            p->dilation,
            VSI_NN_ROUND_FLOOR
            );

        outputs[0]->attr.size[1] = inputs[0]->attr.size[1] * p->multiplier;
        outputs[0]->attr.size[2] = inputs[0]->attr.size[2];
        outputs[0]->attr.dim_num = inputs[0]->attr.dim_num;
    }
    return TRUE;
} /* op_setup() */

__BEGIN_DECLS

/* Registrar */
DEF_OP_REG
    (
    /* op_name    */ DEPTHWISE_CONV1D,
    /* init       */ NULL,
    /* compute    */ op_compute,
    /* deinit     */ vsi_nn_op_common_deinit,
    /* check      */ op_check,
    /* setup      */ op_setup,
    /* optimize   */ NULL,
    /* input_num  */ _INPUT_NUM,
    /* output_num */ _OUTPUT_NUM
    );

__END_DECLS

