/* * 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 * 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. */ #ifndef MIGRAPHX_GUARD_OPERATORS_FLATTEN_HPP #define MIGRAPHX_GUARD_OPERATORS_FLATTEN_HPP #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace op { struct flatten { int64_t axis = 1; template static auto reflect(Self& self, F f) { return pack(f(self.axis, "axis")); } value attributes() const { value normalize; normalize["axis"] = value::array{normalize_attribute::include_min, normalize_attribute::include_max}; return {{"normalize_axes", normalize}}; } std::string name() const { return "flatten"; } shape normalize_compute_shape(std::vector inputs) const { check_shapes{inputs, *this}.has(1).standard(); auto&& lens = inputs.front().lens(); auto x = std::accumulate(lens.begin(), lens.begin() + axis, std::size_t{1}, std::multiplies<>{}); auto y = std::accumulate(lens.begin() + axis, lens.end(), std::size_t{1}, std::multiplies<>{}); return {inputs.at(0).type(), {x, y}}; } argument compute(shape output_shape, std::vector args) const { return args[0].reshape(output_shape); } std::ptrdiff_t output_alias(const std::vector&) const { return 0; } }; } // namespace op } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx #endif