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/*******************************************************************************
* Copyright 2016-2018 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.
*******************************************************************************/
#ifndef BATCH_NORMALIZATION_FWD_PD_HPP
#define BATCH_NORMALIZATION_FWD_PD_HPP
#include "mkldnn.h"
#include "c_types_map.hpp"
#include "primitive_desc.hpp"
#include "memory_pd.hpp"
#include "utils.hpp"
namespace mkldnn {
namespace impl {
struct batch_normalization_fwd_pd_t;
struct batch_normalization_pd_t: public primitive_desc_t {
static constexpr auto base_pkind = primitive_kind::batch_normalization;
batch_normalization_pd_t(mkldnn::impl::engine_t *engine,
const batch_normalization_desc_t *adesc,
const primitive_attr_t *attr,
const batch_normalization_fwd_pd_t *hint_fwd_pd)
: primitive_desc_t(engine, attr, primitive_kind::batch_normalization)
, desc_(*adesc), hint_fwd_pd_(hint_fwd_pd) {}
virtual ~batch_normalization_pd_t() {}
const batch_normalization_desc_t *desc() const { return &desc_; }
virtual const op_desc_t *op_desc() const override
{ return reinterpret_cast<const op_desc_t *>(this->desc()); }
virtual void init_info() override { init_info_bnorm(this, this->info_); }
virtual status_t query(query_t what, int idx, void *result) const override
{
switch (what) {
case query::batch_normalization_d:
*(const batch_normalization_desc_t**)result = desc(); break;
default: return primitive_desc_t::query(what, idx, result);
}
return status::success;
}
/* common batch_normalization aux functions */
inline bool stats_is_src() const
{ return desc_.flags & mkldnn_use_global_stats; }
inline bool use_scaleshift() const
{ return desc_.flags & mkldnn_use_scaleshift; }
inline bool omit_stats() const { return desc_.flags & mkldnn_omit_stats; }
inline bool is_training() const
{ return desc_.prop_kind == prop_kind::forward_training; }
inline bool is_fwd() const {
return utils::one_of(desc_.prop_kind, prop_kind::forward_training,
prop_kind::forward_inference);
}
inline bool is_bwd() const { return !this->is_fwd(); }
inline int MB() const { return input_pd()->desc()->dims[0]; }
inline int C() const { return input_pd()->desc()->dims[1]; }
inline int D() const { return ndims() == 5 ? input_pd()->desc()->dims[2] : 1; }
inline int H() const {
assert(ndims() == 4 || ndims() == 5);
return input_pd()->desc()->dims[ndims()-2];
}
inline int W() const {
assert(ndims() == 4 || ndims() == 5);
return input_pd()->desc()->dims[ndims()-1];
}
bool with_relu_post_op() const {
const auto &p = this->attr()->post_ops_;
return p.len_ == 1 && p.entry_[0].is_relu(true, true);
}
bool fuse_bn_relu() const
{ return desc_.flags & mkldnn_fuse_bn_relu; }
inline int ndims() const { return desc_.data_desc.ndims; }
bool has_zero_dim_memory() const
{ return memory_desc_wrapper(desc_.data_desc).has_zero_dim(); }
protected:
batch_normalization_desc_t desc_;
const batch_normalization_fwd_pd_t *hint_fwd_pd_;
};
struct batch_normalization_fwd_pd_t: public batch_normalization_pd_t {
typedef batch_normalization_fwd_pd_t base_class;
typedef batch_normalization_fwd_pd_t hint_class;
// static constexpr auto base_pkind = primitive_kind::batch_normalization;
using batch_normalization_pd_t::batch_normalization_pd_t;
virtual ~batch_normalization_fwd_pd_t() {}
virtual const memory_pd_t *input_pd(int index = 0) const override {
if (index == 0) return src_pd();
if (stats_is_src()) {
if (index == 1) return mean_pd();
if (index == 2) return variance_pd();
}
if (use_scaleshift() && index == 1 + 2*stats_is_src()) {
return weights_pd();
}
return nullptr;
}
virtual const memory_pd_t *output_pd(int index = 0) const override {
if (index == 0) return dst_pd();
if (!stats_is_src() && is_training()) {
if (index == 1) return mean_pd();
if (index == 2) return variance_pd();
}
if (index == ws_idx() && is_training() && fuse_bn_relu())
return workspace_pd();
return nullptr;
}
virtual const memory_pd_t *mean_pd() const
{ return stats_is_src() ? src_pd(1) : dst_pd(1); }
virtual const memory_pd_t *variance_pd() const
{ return stats_is_src() ? src_pd(2) : dst_pd(2); }
virtual int n_inputs() const override
{ return 1 + 2 * stats_is_src() + use_scaleshift(); }
virtual int n_outputs() const override
{ return 1 + (fuse_bn_relu() + 2 * (!stats_is_src())) * is_training(); }
int ws_idx() const { return !stats_is_src() ? 3 : 1; }
};
struct batch_normalization_bwd_pd_t: public batch_normalization_pd_t {
typedef batch_normalization_bwd_pd_t base_class;
typedef batch_normalization_fwd_pd_t hint_class;
// static constexpr auto base_pkind = primitive_kind::batch_normalization;
using batch_normalization_pd_t::batch_normalization_pd_t;
virtual ~batch_normalization_bwd_pd_t() {}
virtual const memory_pd_t *input_pd(int index = 0) const override {
if (index == 0) return src_pd();
if (index == 1) return mean_pd();
if (index == 2) return variance_pd();
if (index == 3) return diff_dst_pd();
if (use_scaleshift() && index == 4) return weights_pd();
if (index == ws_idx() && fuse_bn_relu()) return workspace_pd();
return nullptr;
}
virtual const memory_pd_t *output_pd(int index = 0) const override {
if (index == 0) return diff_src_pd();
if (index == 1) return diff_weights_pd();
return nullptr;
}
virtual const memory_pd_t *mean_pd() const { return src_pd(1); }
virtual const memory_pd_t *variance_pd() const { return src_pd(2); }
virtual int n_inputs() const override
{ return 4 + use_scaleshift() + fuse_bn_relu(); }
virtual int n_outputs() const override
{ return 1 + (desc_.prop_kind == prop_kind::backward); }
int ws_idx() const { return use_scaleshift() ? 5 : 4; }
};
}
}
#endif
// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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