/*
 * 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.
 */

#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>

struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling>
{
    migraphx::program create_program() const
    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape xs{migraphx::shape::float_type, {1, 3, 224, 224}};
        migraphx::shape ws{migraphx::shape::float_type, {64, 3, 7, 7}};
        migraphx::shape vars{migraphx::shape::float_type, {64}};
        auto x    = mm->add_parameter("x", xs);
        auto w    = mm->add_parameter("w", ws);
        auto conv = mm->add_instruction(
            migraphx::make_op("convolution",
                              {{"padding", {3, 3}}, {"stride", {2, 2}}, {"dilation", {1, 1}}}),
            x,
            w);
        auto scale    = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 1)));
        auto bias     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 2)));
        auto mean     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 3)));
        auto variance = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 4)));
        auto bn       = mm->add_instruction(
            migraphx::make_op("batch_norm_inference"), conv, scale, bias, mean, variance);
        auto relu = mm->add_instruction(migraphx::make_op("relu"), bn);
        mm->add_instruction(migraphx::make_op("pooling",
                                              {{"mode", migraphx::op::pooling_mode::average},
                                               {"padding", {1, 1}},
                                               {"stride", {2, 2}},
                                               {"lengths", {3, 3}}}),
                            relu);
        return p;
    }
};
