mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-02-19 01:17:06 +03:00
71 lines
2.7 KiB
C++
71 lines
2.7 KiB
C++
/*
|
|
* The MIT License (MIT)
|
|
*
|
|
* Copyright (c) 2015-2024 Advanced Micro Devices, Inc. All rights reserved.
|
|
*
|
|
* Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
* of this software and associated documentation files (the "Software"), to deal
|
|
* in the Software without restriction, including without limitation the rights
|
|
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
* copies of the Software, and to permit persons to whom the Software is
|
|
* furnished to do so, subject to the following conditions:
|
|
*
|
|
* The above copyright notice and this permission notice shall be included in
|
|
* all copies or substantial portions of the Software.
|
|
*
|
|
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
|
* THE SOFTWARE.
|
|
*/
|
|
#include <migraphx/onnx/op_parser.hpp>
|
|
#include <migraphx/onnx/checks.hpp>
|
|
#include <migraphx/ranges.hpp>
|
|
#include <migraphx/instruction.hpp>
|
|
#include <migraphx/common.hpp>
|
|
#include <migraphx/make_op.hpp>
|
|
|
|
namespace migraphx {
|
|
inline namespace MIGRAPHX_INLINE_NS {
|
|
namespace onnx {
|
|
|
|
struct parse_expand : op_parser<parse_expand>
|
|
{
|
|
std::vector<op_desc> operators() const { return {{"Expand"}}; }
|
|
|
|
instruction_ref parse(const op_desc& /*opd*/,
|
|
const onnx_parser& /*parser*/,
|
|
const onnx_parser::node_info& info,
|
|
std::vector<instruction_ref> args) const
|
|
{
|
|
migraphx::argument arg_s = args[1]->eval();
|
|
if(arg_s.empty())
|
|
{
|
|
// variable dims input
|
|
return info.add_instruction(make_op("broadcast_with_dims"), args[0], args[1]);
|
|
}
|
|
else
|
|
{
|
|
const shape& shape_0 = args[0]->get_shape();
|
|
if(shape_0.dynamic())
|
|
{
|
|
MIGRAPHX_THROW(
|
|
"PARSE_EXPAND: dynamic input tensor with fixed dims input not supported");
|
|
}
|
|
const auto& in_lens = shape_0.lens();
|
|
std::vector<std::size_t> dims;
|
|
arg_s.visit([&](auto input) { dims.assign(input.begin(), input.end()); });
|
|
auto out_lens = compute_broadcasted_lens(in_lens, dims);
|
|
return info.add_instruction(make_op("multibroadcast", {{"out_lens", out_lens}}),
|
|
args[0]);
|
|
}
|
|
}
|
|
};
|
|
|
|
} // namespace onnx
|
|
} // namespace MIGRAPHX_INLINE_NS
|
|
} // namespace migraphx
|