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// Copyright (C) 2018 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include "dnn.h"
template<intel_dnn_operation_t layer>
struct DnnTrait {};
template<>
struct DnnTrait<kDnnDiagonalOp> {
using Type = intel_affine_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.affine;
}
};
template<>
struct DnnTrait<kDnnPiecewiselinearOp> {
using Type = intel_piecewiselinear_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.pwl;
}
};
template<>
struct DnnTrait<kDnnAffineOp> {
using Type = intel_affine_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.affine;
}
};
template<>
struct DnnTrait<kDnnConvolutional1dOp> {
using Type = intel_convolutionalD_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.conv1D;
}
};
template<>
struct DnnTrait<kDnnMaxPoolOp> {
using Type = intel_maxpool_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.maxpool;
}
};
template<>
struct DnnTrait<kDnnRecurrentOp> {
using Type = intel_recurrent_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.recurrent;
}
};
template<>
struct DnnTrait<kDnnInterleaveOp> {
using Type = intel_interleave_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.interleave;
}
};
template<>
struct DnnTrait<kDnnDeinterleaveOp> {
using Type = intel_deinterleave_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.deinterleave;
}
};
template<>
struct DnnTrait<kDnnCopyOp> {
using Type = intel_copy_t;
static Type *getLayer(intel_dnn_component_t &component) {
return &component.op.copy;
}
};
template<>
struct DnnTrait<kDnnNullOp> {
using Type = void;
static Type *getLayer(intel_dnn_component_t &component) {
return nullptr;
}
};
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