103 lines
3.5 KiB
C++
103 lines
3.5 KiB
C++
/*******************************************************************************
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* Copyright 2017-2018 Intel Corporation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*******************************************************************************/
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#ifndef CPU_JIT_SSE42_CONVOLUTION_HPP
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#define CPU_JIT_SSE42_CONVOLUTION_HPP
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#include "c_types_map.hpp"
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#include "utils.hpp"
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#include "cpu_convolution_pd.hpp"
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#include "cpu_primitive.hpp"
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#include "jit_primitive_conf.hpp"
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#include "jit_sse42_conv_kernel_f32.hpp"
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namespace mkldnn {
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namespace impl {
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namespace cpu {
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struct jit_sse42_convolution_fwd_t: public cpu_primitive_t {
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struct pd_t: public cpu_convolution_fwd_pd_t {
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pd_t(engine_t *engine,
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const convolution_desc_t *adesc,
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const primitive_attr_t *attr,
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const typename pd_t::base_class *hint_fwd_pd)
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: cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
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, jcp_() {}
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DECLARE_COMMON_PD_T(
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JIT_IMPL_NAME_HELPER("jit:", sse42, ""),
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jit_sse42_convolution_fwd_t);
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status_t init() {
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bool ok = true
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&& is_fwd()
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&& set_default_alg_kind(alg_kind::convolution_direct)
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&& expect_data_types(data_type::f32, data_type::f32,
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data_type::f32, data_type::f32, data_type::f32)
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&& !has_zero_dim_memory()
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&& set_default_formats();
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if (!ok) return status::unimplemented;
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return jit_sse42_conv_fwd_kernel_f32::init_conf(jcp_, *desc(),
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*src_md(), *weights_md(), *dst_md(), *attr());
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}
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jit_conv_conf_t jcp_;
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protected:
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bool set_default_formats() {
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using namespace format_tag;
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const bool flat = IC() == 3;
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auto src_tag = flat
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? utils::pick(ndims() - 3, ncw, nchw, ncdhw)
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: utils::pick(ndims() - 3, nCw8c, nChw8c, nCdhw8c);
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auto dst_tag =
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utils::pick(ndims() - 3, nCw8c, nChw8c, nCdhw8c);
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auto wei_tag = with_groups()
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? utils::pick(2 * ndims() - 6 + flat, gOIw8i8o, gOwi8o,
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gOIhw8i8o, gOhwi8o, gOIdhw8i8o, gOdhwi8o)
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: utils::pick(2 * ndims() - 6 + flat, OIw8i8o, Owi8o,
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OIhw8i8o, Ohwi8o, OIdhw8i8o, Odhwi8o);
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return set_default_formats_common(src_tag, wei_tag, dst_tag);
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}
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};
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jit_sse42_convolution_fwd_t(const pd_t *apd): cpu_primitive_t(apd)
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{ kernel_ = new jit_sse42_conv_fwd_kernel_f32(pd()->jcp_, *pd()->attr()); }
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~jit_sse42_convolution_fwd_t() { delete kernel_; };
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typedef typename prec_traits<data_type::f32>::type data_t;
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virtual status_t execute(const exec_ctx_t &ctx) const override {
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execute_forward(ctx);
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return status::success;
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}
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private:
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void execute_forward(const exec_ctx_t &ctx) const;
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const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
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jit_sse42_conv_fwd_kernel_f32 *kernel_;
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};
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}
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}
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}
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#endif
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