mirror of
https://github.com/blakeblackshear/frigate.git
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84 lines
3.4 KiB
C++
84 lines
3.4 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2024 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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#include <migraphx/config.hpp>
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#include <migraphx/register_op.hpp>
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#include <migraphx/reflect.hpp>
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#include <migraphx/par_for.hpp>
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#include <migraphx/context.hpp>
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#include <migraphx/cpu/context.hpp>
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#include <migraphx/cpu/dnnl.hpp>
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#include <migraphx/op/pooling.hpp>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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namespace cpu {
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struct dnnl_pooling : dnnl_extend_op<dnnl_pooling, dnnl::pooling_v2_forward, op::pooling>
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{
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std::vector<int> arg_map(int) const { return {MIGRAPHX_DNNL_PREFIX(ARG_SRC)}; }
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dnnl::algorithm get_algo() const
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{
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switch(op.mode)
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{
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case op::pooling_mode::max: return dnnl::algorithm::pooling_max;
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case op::pooling_mode::average:
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return op.count_include_pad ? dnnl::algorithm::pooling_avg_include_padding
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: dnnl::algorithm::pooling_avg_exclude_padding;
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case op::pooling_mode::lpnorm: MIGRAPHX_THROW("Lpnorn pooling mode not supported");
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}
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MIGRAPHX_THROW("Unknown pooling mode");
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}
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dnnl::pooling_v2_forward::desc
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get_desc(const std::unordered_map<int, dnnl::memory::desc>& m) const
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{
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auto algo = get_algo();
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auto kdims = op.kdims();
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std::vector<size_t> padding_l(op.padding.begin(), op.padding.begin() + kdims);
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std::vector<size_t> padding_r(op.padding.begin() + kdims, op.padding.end());
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// Note: It is not documented, but the default dilation seems to be 0 instead of 1.
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// We need to offset dilations with -1.
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std::vector<size_t> dilations;
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std::transform(op.dilations.cbegin(),
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op.dilations.cend(),
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std::back_inserter(dilations),
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[](size_t d) { return d - 1; });
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return {dnnl::prop_kind::forward_inference,
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algo,
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m.at(MIGRAPHX_DNNL_PREFIX(ARG_SRC)),
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m.at(MIGRAPHX_DNNL_PREFIX(ARG_DST)),
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to_dnnl_dims(op.stride),
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to_dnnl_dims(op.lengths),
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to_dnnl_dims(dilations),
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to_dnnl_dims(padding_l),
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to_dnnl_dims(padding_r)};
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}
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};
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} // namespace cpu
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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