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/*
// Copyright (c) 2016 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*/
///////////////////////////////////////////////////////////////////////////////////////////////////
#pragma once
#include "api/CPP/batch_norm.hpp"
#include "primitive_inst.h"
namespace cldnn
{
template <>
struct typed_program_node<batch_norm> : public typed_program_node_base<batch_norm>
{
using parent = typed_program_node_base<batch_norm>;
public:
using parent::parent;
decltype(auto) input() const { return get_dependency(0); }
decltype(auto) mean() const { return get_dependency(1); }
decltype(auto) variance() const { return get_dependency(2); }
decltype(auto) inv_variance() const { return get_dependency(1); };
bool variance_term() const { return !get_primitive()->variance.empty(); }
bool use_global_stats() const { return !get_primitive()->mean.empty() && !get_primitive()->variance.empty(); };
bool forwad_pass() const { return !get_primitive()->inv_variance.empty(); };
};
using batch_norm_node = typed_program_node<batch_norm>;
template <>
class typed_primitive_inst<batch_norm> : public typed_primitive_inst_base<batch_norm>
{
using parent = typed_primitive_inst_base<batch_norm>;
public:
static layout calc_output_layout(batch_norm_node const& node);
static std::string to_string(batch_norm_node const& node);
public:
typed_primitive_inst(network_impl& network, batch_norm_node const& node);
decltype(auto) mean_memory() const { return dep_memory(1); }
decltype(auto) variance_memory() const { return dep_memory(2); }
decltype(auto) inv_variance_memory() const { return dep_memory(1); };
bool use_global_stats() const { return !argument.mean.empty() && !argument.variance.empty(); };
bool forwad_pass() const { return !argument.inv_variance.empty(); };
};
using batch_norm_inst = typed_primitive_inst<batch_norm>;
}
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