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Commit d260f0e8 authored by Ted Themistokleous's avatar Ted Themistokleous
Browse files

Iniital work to add in splitToSequence operator for onnx

Basing this around the split operator. Need to add in other tests
parent 25a0e433
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 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
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* THE SOFTWARE.
*/
#include <migraphx/onnx/op_parser.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/tune_axis.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {
struct parse_splitToSequence : op_parser<parse_splitToSequence>
{
std::vector<op_desc> operators() const { return {{"SplitToSequence"}}; }
std::vector<instruction_ref> parse(const op_desc& opd,
const onnx_parser& parser,
onnx_parser::node_info info,
std::vector<instruction_ref> args) const
{
int64_t axis = 0;
if(contains(info.attributes, "axis"))
{
axis = parser.parse_value(info.attributes.at("axis")).at<int>();
}
auto lens = args[0]->get_shape().lens();
int64_t n_rank = lens.size();
int64_t tuned_axis = tune_axis(n_rank, axis, opd.op_name);
std::vector<int64_t> vec_splits;
if(contains(info.attributes, "split"))
{
literal s = parser.parse_value(info.attributes.at("split"));
s.visit([&](auto v) { vec_splits.assign(v.begin(), v.end()); });
if(std::accumulate(vec_splits.begin(), vec_splits.end(), int64_t(0)) !=
static_cast<int64_t>(lens[tuned_axis]))
{
MIGRAPHX_THROW("PARSE_SPLIT_TO_SEQ: sum of split attribute unequal to dim size of axis!");
}
}
// no split attribute, use other paremters to determine splits
else
{
int64_t keepdims = 1;
if(contains(info.attributes, "keepdims"))
{
keepdims = parser.parse_value(info.attributes.at("keepdims")).at<int>();
}
if((lens[tuned_axis] % info.num_outputs) != 0)
{
MIGRAPHX_THROW("PARSE_SPLIT_TO_SEQ: input cannot be equally divided into " +
std::to_string(info.num_outputs) + " splits!");
}
auto dl = lens[tuned_axis] / info.num_outputs;
vec_splits.resize(info.num_outputs, dl);
}
std::vector<instruction_ref> ret_ins;
int64_t start = 0;
for(auto sl : vec_splits)
{
ret_ins.push_back(info.add_instruction(
make_op("slice", {{"axes", {axis}}, {"starts", {start}}, {"ends", {start + sl}}}),
args[0]));
start += sl;
}
return ret_ins;
}
};
} // namespace onnx
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
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