#include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace onnx { struct parse_split : op_parser { std::vector operators() const { return {{"Split"}}; } std::vector parse(const op_desc& opd, const onnx_parser& parser, onnx_parser::node_info info, std::vector args) const { int64_t axis = 0; if(contains(info.attributes, "axis")) { axis = parser.parse_value(info.attributes.at("axis")).at(); } 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 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(lens[tuned_axis])) { MIGRAPHX_THROW("PARSE_SPLIT: sum of split attribute unequal to dim size of axis!"); } } // no split attribute, input is equally divided else { if((lens[tuned_axis] % info.num_outputs) != 0) { MIGRAPHX_THROW("PARSE_SPLIT: 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 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