/* * 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 "verify_program.hpp" #include #include #include #include #include #include template struct test_shrink : verify_program> { migraphx::program create_program() const { migraphx::program p; float bias = 1.5; float lambd = 1.5; auto* mm = p.get_main_module(); migraphx::shape is{T, {2, 3}}; std::vector data; migraphx::shape::visit(T, [&](auto as) { as.is_signed() ? data.assign({-3.0, -2.0, -1.0, 0.0, 1.0, 2.0}) : data.assign({3.0, 2.0, 1.0, 0.0, 1.0, 2.0}); }); auto x = mm->add_literal(migraphx::literal{is, data}); auto lit_bias = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {bias}}); auto lit_neg_lambd = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {-lambd}}); auto lit_lambd = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {lambd}}); auto x_plus_bias = add_common_op(*mm, migraphx::make_op("add"), {x, lit_bias}); auto x_min_bias = add_common_op(*mm, migraphx::make_op("sub"), {x, lit_bias}); auto cond1 = add_common_op(*mm, migraphx::make_op("less"), {x, lit_neg_lambd}); auto cond2_a = add_common_op(*mm, migraphx::make_op("not"), {cond1}); auto cond2_b = add_common_op(*mm, migraphx::make_op("greater"), {x, lit_lambd}); auto cond2 = add_common_op(*mm, migraphx::make_op("logical_and"), {cond2_a, cond2_b}); auto mul1 = mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), cond1); auto mul2 = mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), cond2); auto first = add_common_op(*mm, migraphx::make_op("mul"), {mul1, x_plus_bias}); auto second = add_common_op(*mm, migraphx::make_op("mul"), {mul2, x_min_bias}); auto ret = add_common_op(*mm, migraphx::make_op("add"), {first, second}); if(ret->get_shape().type() != T) { mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), ret); } return p; } }; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink; template struct test_shrink;