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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 CPU_JIT_SSE42_CONVOLUTION_HPP
#define CPU_JIT_SSE42_CONVOLUTION_HPP
#include "c_types_map.hpp"
#include "utils.hpp"
#include "cpu_convolution_pd.hpp"
#include "cpu_primitive.hpp"
#include "jit_primitive_conf.hpp"
#include "jit_sse42_conv_kernel_f32.hpp"
namespace mkldnn {
namespace impl {
namespace cpu {
struct jit_sse42_convolution_fwd_t: public cpu_primitive_t {
struct pd_t: public cpu_convolution_fwd_pd_t {
pd_t(engine_t *engine,
const convolution_desc_t *adesc,
const primitive_attr_t *attr,
const typename pd_t::base_class *hint_fwd_pd)
: cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
, jcp_() {}
DECLARE_COMMON_PD_T(
JIT_IMPL_NAME_HELPER("jit:", sse42, ""),
jit_sse42_convolution_fwd_t);
status_t init() {
bool ok = true
&& is_fwd()
&& set_default_alg_kind(alg_kind::convolution_direct)
&& expect_data_types(data_type::f32, data_type::f32,
data_type::f32, data_type::f32, data_type::f32)
&& !has_zero_dim_memory()
&& set_default_formats();
if (!ok) return status::unimplemented;
return jit_sse42_conv_fwd_kernel_f32::init_conf(jcp_, *desc(),
*src_md(), *weights_md(), *dst_md(), *attr());
}
jit_conv_conf_t jcp_;
protected:
bool set_default_formats() {
using namespace format_tag;
const bool flat = IC() == 3;
auto src_tag = flat
? utils::pick(ndims() - 3, ncw, nchw, ncdhw)
: utils::pick(ndims() - 3, nCw8c, nChw8c, nCdhw8c);
auto dst_tag =
utils::pick(ndims() - 3, nCw8c, nChw8c, nCdhw8c);
auto wei_tag = with_groups()
? utils::pick(2 * ndims() - 6 + flat, gOIw8i8o, gOwi8o,
gOIhw8i8o, gOhwi8o, gOIdhw8i8o, gOdhwi8o)
: utils::pick(2 * ndims() - 6 + flat, OIw8i8o, Owi8o,
OIhw8i8o, Ohwi8o, OIdhw8i8o, Odhwi8o);
return set_default_formats_common(src_tag, wei_tag, dst_tag);
}
};
jit_sse42_convolution_fwd_t(const pd_t *apd): cpu_primitive_t(apd)
{ kernel_ = new jit_sse42_conv_fwd_kernel_f32(pd()->jcp_, *pd()->attr()); }
~jit_sse42_convolution_fwd_t() { delete kernel_; };
typedef typename prec_traits<data_type::f32>::type data_t;
virtual status_t execute(const exec_ctx_t &ctx) const override {
execute_forward(ctx);
return status::success;
}
private:
void execute_forward(const exec_ctx_t &ctx) const;
const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
jit_sse42_conv_fwd_kernel_f32 *kernel_;
};
}
}
}
#endif
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