test_instancenorm.cpp

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

migraphx::instruction_ref add_instancenorm(migraphx::module& m,
                                           migraphx::instruction_ref x,
                                           const std::vector<size_t>& dims,
                                           float eps = 1e-5f)
{
    auto mgx_type = x->get_shape().type();
    auto x_lens   = x->get_shape().lens();
    std::vector<size_t> axes(x_lens.size() - 2);
    std::iota(axes.begin(), axes.end(), 2);
    auto scale   = m.add_parameter("scale", migraphx::shape{mgx_type, dims});
    auto bias    = m.add_parameter("bias", migraphx::shape{mgx_type, dims});
    auto epsilon = m.add_literal(migraphx::literal{migraphx::shape{mgx_type}, {eps}});

    auto mean = m.add_instruction(migraphx::make_op("reduce_mean", {{"axes", axes}}), x);
    auto mean_mbcast =
        m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", x_lens}}), mean);
    auto sub = m.add_instruction(migraphx::make_op("sub"), x, mean_mbcast);
    auto l0  = m.add_instruction(migraphx::make_op("sqdiff"), {x, mean_mbcast});
    auto var = m.add_instruction(migraphx::make_op("reduce_mean", {{"axes", axes}}), {l0});
    auto epsilon_mbcast =
        m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", x_lens}}), epsilon);
    auto var_mbcast =
        m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", x_lens}}), var);
    auto add_epsilon = m.add_instruction(migraphx::make_op("add"), var_mbcast, epsilon_mbcast);
    auto rsqrt       = m.add_instruction(migraphx::make_op("rsqrt"), add_epsilon);
    auto l1          = m.add_instruction(migraphx::make_op("mul"), {sub, rsqrt});
    auto scale_mbcast =
        m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", x_lens}}), scale);
    auto mul = m.add_instruction(migraphx::make_op("mul"), scale_mbcast, l1);
    auto bias_mbcast =
        m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", x_lens}}), bias);
    return m.add_instruction(migraphx::make_op("add"), mul, bias_mbcast);
}

template <migraphx::shape::type_t TYPE>
struct test_instancenorm : verify_program<test_instancenorm<TYPE>>
{
    migraphx::program create_program() const
    {
        migraphx::program p;
        auto* mm                 = p.get_main_module();
        std::vector<size_t> dims = {1, 2, 5, 5};
        auto x                   = mm->add_parameter("x", migraphx::shape{TYPE, dims});
        add_instancenorm(*mm, x, {1, 2, 1, 1});
        return p;
    }
};
template struct test_instancenorm<migraphx::shape::float_type>;
template struct test_instancenorm<migraphx::shape::half_type>;

template <migraphx::shape::type_t TYPE>
struct test_instancenorm_large_3d : verify_program<test_instancenorm_large_3d<TYPE>>
{
    migraphx::program create_program() const
    {
        migraphx::program p;
        auto* mm                 = p.get_main_module();
        std::vector<size_t> dims = {1, 32, 64, 64, 64};
        auto x                   = mm->add_parameter("x", migraphx::shape{TYPE, dims});
        add_instancenorm(*mm, x, {1, 32, 1, 1, 1});
        return p;
    }
};

template struct test_instancenorm_large_3d<migraphx::shape::float_type>;
template struct test_instancenorm_large_3d<migraphx::shape::half_type>;