test_conv_bn_add.cpp

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

struct test_conv_bn_add : verify_program<test_conv_bn_add>
{
    static migraphx::instruction_ref add_bn(migraphx::module_ref mm,
                                            migraphx::instruction_ref x,
                                            std::size_t channels,
                                            std::size_t seed = 1)
    {
        migraphx::shape vars{migraphx::shape::float_type, {channels}};
        auto scale    = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 1 + seed)));
        auto bias     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 2 + seed)));
        auto mean     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 3 + seed)));
        auto variance = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 4 + seed)));
        return mm->add_instruction(
            migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
    }

    migraphx::program create_program() const
    {
        migraphx::program p;
        std::size_t ichannels = 64;
        std::size_t ochannels = 256;
        auto* mm              = p.get_main_module();
        auto x     = mm->add_parameter("x", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
        auto w     = mm->add_literal(migraphx::generate_literal(
            {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 1));
        auto y     = mm->add_parameter("y", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
        auto v     = mm->add_literal(migraphx::generate_literal(
            {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 2));
        auto relu1 = mm->add_instruction(migraphx::make_op("relu"), x);
        auto conv1 = mm->add_instruction(migraphx::make_op("convolution"), relu1, w);
        auto bn1   = add_bn(mm, conv1, ochannels, 1);
        auto relu2 = mm->add_instruction(migraphx::make_op("relu"), y);
        auto conv2 = mm->add_instruction(migraphx::make_op("convolution"), relu2, v);
        auto bn2   = add_bn(mm, conv2, ochannels, 1);
        auto sum   = mm->add_instruction(migraphx::make_op("add"), bn1, bn2);
        auto r     = mm->add_instruction(migraphx::make_op("relu"), sum);
        mm->add_return({r});

        return p;
    }
};