#include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace onnx { struct parse_eyelike : op_parser { std::vector operators() const { return {{"EyeLike"}}; } instruction_ref parse(const op_desc&, const onnx_parser&, const onnx_parser::node_info& info, std::vector args) const { auto input_shape = args[0]->get_shape(); auto input_lens = input_shape.lens(); if(input_lens.size() != 2) { MIGRAPHX_THROW("EYELIKE: tensor input not of rank 2"); } std::ptrdiff_t num_rows = input_lens.front(); std::ptrdiff_t num_cols = input_lens.back(); shape::type_t output_type = args[0]->get_shape().type(); if(contains(info.attributes, "dtype")) { output_type = get_type(info.attributes.at("dtype").i()); } std::ptrdiff_t k = 0; if(contains(info.attributes, "k")) { k = info.attributes.at("k").i(); } if(k >= 0) { if(k >= num_cols) { std::ostringstream oss; oss << "EYELIKE: positive k out of bounds, k = " << k << " num_cols = " << num_cols; MIGRAPHX_THROW(oss.str()); } } else { if(std::abs(k) >= num_rows) { std::ostringstream oss; oss << "EYELIKE: negative k out of bounds, k = " << k << " num_rows = " << num_cols; MIGRAPHX_THROW(oss.str()); } } std::vector eyelike_mat(num_rows * num_cols, 0); for(std::ptrdiff_t i = 0; i < num_rows; ++i) { auto idx = i + k; if(idx < num_cols and idx >= 0) eyelike_mat[(num_cols + 1) * i + k] = char{1}; } return info.add_literal( migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat}); } }; } // namespace onnx } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx