frigate/docker/rocm/migraphx/onnx/parse_constant_of_shape.cpp
WhiteWolf84 7eefb89bf6 upload
2025-02-03 22:01:20 +01:00

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C++

/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/literal.hpp>
#include <migraphx/make_op.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {
struct parse_constant_of_shape : op_parser<parse_constant_of_shape>
{
std::vector<op_desc> operators() const { return {{"ConstantOfShape"}}; }
instruction_ref parse(const op_desc& /*opd*/,
const onnx_parser& parser,
onnx_parser::node_info info,
std::vector<instruction_ref> args) const
{
literal l_val{};
if(contains(info.attributes, "value"))
{
l_val = parser.parse_value(info.attributes.at("value"));
if(l_val.get_shape().elements() != 1)
{
MIGRAPHX_THROW("ConstantOfShape: attribute value can contain only 1 elements!");
}
// convert to a scalar literal
l_val = literal(shape{l_val.get_shape().type(), {1}, {0}}, l_val.data());
}
else
{
l_val = literal({shape::float_type, {1}, {0}}, {0.0f});
}
if(args.empty())
{
MIGRAPHX_THROW("ConstantOfShape : must have 1 input!");
}
else
{
migraphx::shape s;
// input is empty, output is a scalar
auto type = l_val.get_shape().type();
migraphx::argument input = args[0]->eval();
if(not input.empty())
{
// empty input tensor, output is a scalar
if(args[0]->get_shape().elements() == 0)
{
s = migraphx::shape{type, {1}, {0}};
}
else
{
std::vector<std::size_t> dims;
input.visit([&](auto ia) { dims.assign(ia.begin(), ia.end()); });
s = migraphx::shape{type, dims};
}
literal l_out{};
l_val.visit([&](auto val) {
using val_type = std::remove_cv_t<typename decltype(val)::value_type>;
// l_val contains only one element
std::vector<val_type> out_vec(s.elements(), val.front());
l_out = literal(s, out_vec);
});
return info.add_literal(l_out);
}
// has variable input (dynamic shape buffer)
else
{
auto dv_lit = info.add_literal(l_val);
auto alloc_ins =
info.add_instruction(make_op("allocate", {{"buf_type", type}}), args[0]);
return info.add_instruction(make_op("fill"), dv_lit, alloc_ins);
}
}
}
};
} // namespace onnx
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx