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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_PD_HPP
#define BATCH_NORMALIZATION_PD_HPP
#include "mkldnn.h"
#include "c_types_map.hpp"
#include "primitive_desc.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(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, base_pkind)
, desc_(*adesc)
, hint_fwd_pd_(hint_fwd_pd)
, data_md_(desc_.data_desc)
, stat_md_(desc_.mean_desc)
, scaleshift_md_(desc_.data_scaleshift_desc)
, ws_md_()
{}
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 { impl::init_info(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 */
dim_t MB() const { return data_desc().dims[0]; }
dim_t C() const { return data_desc().dims[1]; }
dim_t D() const { return ndims() >= 5 ? data_desc().dims[ndims() - 3] : 1; }
dim_t H() const { return ndims() >= 4 ? data_desc().dims[ndims() - 2] : 1; }
dim_t W() const { return ndims() >= 3 ? data_desc().dims[ndims() - 1] : 1; }
int ndims() const { return desc_.data_desc.ndims; }
bool stats_is_src() const { return desc_.flags & mkldnn_use_global_stats; }
bool use_scaleshift() const { return desc_.flags & mkldnn_use_scaleshift; }
bool use_global_stats() const
{ return desc_.flags & mkldnn_use_global_stats; }
bool fuse_bn_relu() const { return desc_.flags & mkldnn_fuse_bn_relu; }
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 is_fwd() const {
return utils::one_of(desc_.prop_kind, prop_kind::forward_training,
prop_kind::forward_inference);
}
bool is_bwd() const { return !this->is_fwd(); }
bool is_training() const
{ return desc_.prop_kind == prop_kind::forward_training; }
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_;
memory_desc_t data_md_;
memory_desc_t stat_md_;
memory_desc_t scaleshift_md_;
memory_desc_t ws_md_;
void init_default_ws(size_t bits_per_element) {
const auto data_mdw = memory_desc_wrapper(data_md_);
const dim_t data_nelems = data_mdw.nelems(true);
const dim_t bits_per_byte = 8;
const dims_t ws_sz = { (dim_t)utils::div_up(
data_nelems * bits_per_element, bits_per_byte) };
mkldnn_memory_desc_init_by_tag(&ws_md_, 1, ws_sz, impl::data_type::u8,
format_tag::x);
}
private:
const memory_desc_t &data_desc() const { return desc_.data_desc; }
};
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;
batch_normalization_fwd_pd_t(engine_t *engine,
const batch_normalization_desc_t *adesc,
const primitive_attr_t *attr,
const batch_normalization_fwd_pd_t *hint_fwd_pd)
: batch_normalization_pd_t(engine, adesc, attr, hint_fwd_pd)
{}
virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override {
if (arg == MKLDNN_ARG_SRC) return arg_usage_t::input;
if (arg == MKLDNN_ARG_DST) return arg_usage_t::output;
if (utils::one_of(arg, MKLDNN_ARG_MEAN, MKLDNN_ARG_VARIANCE)) {
if (stats_is_src()) return arg_usage_t::input;
if (!stats_is_src() && is_training()) return arg_usage_t::output;
return arg_usage_t::unused;
}
if (arg == MKLDNN_ARG_SCALE_SHIFT && use_scaleshift())
return arg_usage_t::input;
if (arg == MKLDNN_ARG_WORKSPACE && is_training() && fuse_bn_relu())
return arg_usage_t::output;
return primitive_desc_t::arg_usage(arg);
}
virtual const memory_desc_t *src_md(int index = 0) const override {
if (index == 0) return &data_md_;
if (stats_is_src() && (index == 1 || index == 2)) return &stat_md_;
return nullptr;
}
virtual const memory_desc_t *dst_md(int index = 0) const override {
if (index == 0) return &data_md_;
if (!stats_is_src() && is_training() && (index == 1 || index == 2))
return &stat_md_;
return nullptr;
}
virtual const memory_desc_t *weights_md(int index = 0) const override
{ return index == 0 ? &scaleshift_md_ : nullptr; }
virtual const memory_desc_t *workspace_md(int index = 0) const override
{ return index == 0 && is_training() && fuse_bn_relu() ? &ws_md_ : nullptr; }
const memory_desc_t *stat_md() const
{ return stats_is_src() ? src_md(1) : dst_md(1); }
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(); }
};
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;
batch_normalization_bwd_pd_t(engine_t *engine,
const batch_normalization_desc_t *adesc,
const primitive_attr_t *attr,
const batch_normalization_fwd_pd_t *hint_fwd_pd)
: batch_normalization_pd_t(engine, adesc, attr, hint_fwd_pd)
, diff_data_md_(desc_.diff_data_desc)
, diff_scaleshift_md_(desc_.diff_data_scaleshift_desc)
{}
virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override {
if (utils::one_of(arg, MKLDNN_ARG_SRC, MKLDNN_ARG_MEAN,
MKLDNN_ARG_VARIANCE, MKLDNN_ARG_DIFF_DST))
return arg_usage_t::input;
if (arg == MKLDNN_ARG_SCALE_SHIFT && use_scaleshift())
return arg_usage_t::input;
if (arg == MKLDNN_ARG_WORKSPACE && fuse_bn_relu())
return arg_usage_t::input;
if (arg == MKLDNN_ARG_DIFF_SRC)
return arg_usage_t::output;
if (arg == MKLDNN_ARG_DIFF_SCALE_SHIFT && use_scaleshift())
return arg_usage_t::output;
return primitive_desc_t::arg_usage(arg);
}
virtual const memory_desc_t *src_md(int index = 0) const override
{ return index == 0 ? &data_md_ : index <= 2 ? &stat_md_ : nullptr; }
virtual const memory_desc_t *diff_dst_md(int index = 0) const override
{ return index == 0 ? &diff_data_md_ : nullptr; }
virtual const memory_desc_t *diff_src_md(int index = 0) const override
{ return index == 0 ? &diff_data_md_ : nullptr; }
virtual const memory_desc_t *weights_md(int index = 0) const override
{ return index == 0 ? &scaleshift_md_ : nullptr; }
virtual const memory_desc_t *diff_weights_md(int index = 0) const override
{ return index == 0 ? &diff_scaleshift_md_ : nullptr; }
virtual const memory_desc_t *workspace_md(int index = 0) const override
{ return index == 0 && fuse_bn_relu() ? &ws_md_ : nullptr; }
const memory_desc_t *stat_md() const { return src_md(1); }
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); }
protected:
memory_desc_t diff_data_md_;
memory_desc_t diff_scaleshift_md_;
};
}
}
#endif
// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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