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/*******************************************************************************
* Copyright 2017-2018 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 GEMM_U8S8S32X_CONVOLUTION_HPP
#define GEMM_U8S8S32X_CONVOLUTION_HPP
#include "c_types_map.hpp"
#include "cpu_convolution_pd.hpp"
#include "cpu_engine.hpp"
#include "jit_primitive_conf.hpp"
#include "gemm_convolution_utils.hpp"
#include "gemm/os_blas.hpp"
namespace mkldnn {
namespace impl {
namespace cpu {
template <bool with_relu, data_type_t dst_type>
struct _gemm_u8s8s32x_convolution_fwd_t: public cpu_primitive_t {
struct pd_t: public _cpu_convolution_fwd_pd_t<with_relu> {
pd_t(engine_t *engine, const typename pd_t::base_desc_t *adesc,
const primitive_attr_t *attr,
const typename pd_t::base_class *hint_fwd_pd)
: _cpu_convolution_fwd_pd_t<with_relu>(engine, adesc, attr,
hint_fwd_pd), jcp_() {}
DECLARE_COMMON_PD_T("gemm:blas",
_gemm_u8s8s32x_convolution_fwd_t<with_relu, dst_type>);
virtual status_t init() override {
using namespace data_type;
using namespace memory_format;
assert(this->engine()->kind() == engine_kind::cpu);
bool ok = true
#if !USE_MKL_IGEMM
&& false
#endif
&& this->set_default_params() == status::success
&& utils::one_of(this->cdesc_().prop_kind,
prop_kind::forward_training,
prop_kind::forward_inference)
&& this->cdesc_().alg_kind == alg_kind::convolution_direct
&& !this->has_zero_dim_memory()
&& this->cdesc_().src_desc.data_type == u8
&& this->cdesc_().dst_desc.data_type == dst_type
&& this->cdesc_().weights_desc.data_type == s8
&& utils::implication(this->with_bias(), utils::one_of(
this->cdesc_().bias_desc.data_type, f32, s32, s8,
u8))
&& this->cdesc_().accum_data_type == data_type::s32
&& utils::everyone_is(nhwc, this->src_pd_.desc()->format,
this->dst_pd_.desc()->format)
&& this->weights_pd_.desc()->format == (this->with_groups()
? hwigo : hwio)
&& this->is_gemm_conv_format();
return ok ? status::success : status::unimplemented;
}
jit_gemm_conv_conf_t jcp_;
protected:
virtual status_t set_default_params() override {
using namespace memory_format;
if (this->src_pd_.desc()->format == any)
CHECK(this->src_pd_.set_format(nhwc));
if (this->dst_pd_.desc()->format == any)
CHECK(this->dst_pd_.set_format(nhwc));
if (this->weights_pd_.desc()->format == any)
CHECK(this->weights_pd_.set_format(this->with_groups()
? hwigo : hwio));
if (this->bias_pd_.desc()->format == any)
CHECK(this->bias_pd_.set_format(x));
return status::success;
}
virtual bool is_gemm_conv_format() const {
using namespace mkldnn::impl::primitive_kind;
bool ok = true;
auto const &po = this->attr()->post_ops_;
switch (po.len_) {
case 0: break;
case 1: ok = ok
&& (po.entry_[0].is_relu() || po.contain(sum, 0));
break;
case 2: ok = ok
&& (po.contain(sum, 0) && po.entry_[1].is_relu());
break;
default: ok = false;
}
return ok;
}
};
_gemm_u8s8s32x_convolution_fwd_t(const pd_t *pd, const input_vector &inputs,
const output_vector &outputs)
: cpu_primitive_t(&conf_, inputs, outputs), conf_(*pd)
, scratchpad_(nullptr)
{
jit_gemm_convolution_utils::init_conf(conf_.jcp_,
*conf_.cdesc(), conf_.src_pd(), conf_.weights_pd(0),
conf_.dst_pd(), mkldnn_get_max_threads(), with_relu, conf_.negative_slope());
size_t col_size = (size_t)conf_.jcp_.im2col_sz * sizeof(src_data_t);
size_t acc_size = (size_t)conf_.jcp_.os * conf_.jcp_.oc
* sizeof(acc_data_t);
size_t size = col_size + acc_size;
jit_gemm_convolution_utils::prepare_scratchpad(this->conf_.jcp_,
&this->scratchpad_, size, this->conf_.jcp_.nthr);
}
~_gemm_u8s8s32x_convolution_fwd_t() {
delete this->scratchpad_;
};
typedef typename prec_traits<data_type::u8>::type src_data_t;
typedef typename prec_traits<data_type::s8>::type wei_data_t;
typedef typename prec_traits<dst_type>::type dst_data_t;
typedef typename prec_traits<data_type::s32>::type acc_data_t;
virtual void execute(event_t *e) {
execute_forward();
e->set_state(event_t::ready);
}
private:
void execute_forward();
void execute_forward_thr(const int ithr, const int nthr,
const src_data_t *src_base, const wei_data_t *wei_base,
const char *bia_base, dst_data_t *dst_base,
char *scratchpad);
pd_t conf_;
scratchpad_t *scratchpad_;
int nthr_;
};
template <data_type_t dst_type>
struct _gemm_u8s8s32x_convolution_bwd_data_t: public cpu_primitive_t {
struct pd_t: public cpu_convolution_bwd_data_pd_t{
pd_t(engine_t *engine,
const convolution_desc_t *adesc,
const primitive_attr_t *attr,
const convolution_fwd_pd_t *hint_fwd_pd)
: cpu_convolution_bwd_data_pd_t(engine, adesc, attr, hint_fwd_pd)
, jcp_()
{}
DECLARE_COMMON_PD_T("gemm:blas",
_gemm_u8s8s32x_convolution_bwd_data_t<dst_type>);
virtual status_t init() override {
using namespace data_type;
using namespace memory_format;
assert(this->engine()->kind() == engine_kind::cpu);
bool ok = true
#if !USE_MKL_IGEMM
&& false
#endif
&& this->set_default_params() == status::success
&& this->desc()->prop_kind == prop_kind::backward_data
&& this->desc()->alg_kind == alg_kind::convolution_direct
&& !this->has_zero_dim_memory()
&& this->desc()->diff_src_desc.data_type == dst_type
&& this->desc()->diff_dst_desc.data_type == u8
&& this->desc()->weights_desc.data_type == s8
&& utils::implication(this->with_bias(), utils::one_of(
this->desc()->bias_desc.data_type, f32, s32, s8,
u8))
&& this->desc()->accum_data_type == data_type::s32
&& utils::everyone_is(nhwc, this->diff_src_pd_.desc()->format,
this->diff_dst_pd_.desc()->format)
&& this->weights_pd_.desc()->format == (this->with_groups()
? hwigo : hwio)
&& attr()->post_ops_.has_default_values();
return ok ? status::success : status::unimplemented;
}
virtual bool support_bias() const override { return true; }
jit_gemm_conv_conf_t jcp_;
protected:
virtual status_t set_default_params() override {
using namespace memory_format;
if (this->diff_src_pd_.desc()->format == any)
CHECK(this->diff_src_pd_.set_format(nhwc));
if (this->diff_dst_pd_.desc()->format == any)
CHECK(this->diff_dst_pd_.set_format(nhwc));
if (this->weights_pd_.desc()->format == any)
CHECK(this->weights_pd_.set_format(this->with_groups()
? hwigo : hwio));
if (bias_pd_.desc()->format == any)
CHECK(bias_pd_.set_format(x));
return status::success;
}
};
_gemm_u8s8s32x_convolution_bwd_data_t(const pd_t *pd, const input_vector &inputs,
const output_vector &outputs)
: cpu_primitive_t(&conf_, inputs, outputs), conf_(*pd)
, scratchpad_(nullptr)
{
jit_gemm_convolution_utils::init_conf(conf_.jcp_,
*conf_.desc(), conf_.diff_src_pd(), conf_.weights_pd(0),
conf_.diff_dst_pd(), mkldnn_get_max_threads());
size_t col_size = (size_t)conf_.jcp_.im2col_sz * sizeof(acc_data_t);
size_t acc_size = (size_t)conf_.jcp_.is * conf_.jcp_.ic
* sizeof(acc_data_t);
size_t size = col_size + acc_size;
jit_gemm_convolution_utils::prepare_scratchpad(this->conf_.jcp_,
&this->scratchpad_, size, this->conf_.jcp_.nthr);
}
~_gemm_u8s8s32x_convolution_bwd_data_t() {
delete this->scratchpad_;
};
typedef typename prec_traits<data_type::u8>::type diff_dst_data_t;
typedef typename prec_traits<data_type::s8>::type wei_data_t;
typedef typename prec_traits<dst_type>::type diff_src_data_t;
typedef typename prec_traits<data_type::s32>::type acc_data_t;
virtual void execute(event_t *e) {
execute_backward_data();
e->set_state(event_t::ready);
}
private:
void execute_backward_data();
void execute_backward_data_thr(const int ithr, const int nthr,
const diff_dst_data_t *diff_dst_base, const wei_data_t *wei_base,
const char *bia_base, diff_src_data_t *diff_src_base,
char *scratchpad);
pd_t conf_;
scratchpad_t *scratchpad_;
};
}
}
}
#endif
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