miopen.cpp

#include <migraph/program.hpp>
#include <migraph/operators.hpp>
#include <migraph/generate.hpp>
#include <migraph/cpu/cpu_target.hpp>
#include <migraph/gpu/target.hpp>
#include <migraph/gpu/miopen.hpp>
#include <migraph/gpu/hip.hpp>
#include <migraph/manage_ptr.hpp>
#include <migraph/type_name.hpp>
#include <migraph/verify.hpp>

#include <miopen/miopen.h>

#include <future>
#include <thread>

#include "test.hpp"

#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wglobal-constructors"
#endif

// An improved async, that doesn't block
template <class Function>
std::future<typename std::result_of<Function()>::type> detach_async(Function&& f)
{
    using result_type = typename std::result_of<Function()>::type;
    std::packaged_task<result_type()> task(std::forward<Function>(f));
    auto fut = task.get_future();
    std::thread(std::move(task)).detach();
    return std::move(fut);
}

struct auto_print
{
    static std::array<std::function<void()>, 2> handlers;
    int index;
    template <class T>
    auto_print(T& x, int i) : index(i)
    {
        handlers[index] = [&x] { std::cout << x << std::endl; };
    }

    ~auto_print()
    {
        handlers[index] = [] {};
    }
};
std::array<std::function<void()>, 2> auto_print::handlers = {};

template <class V>
migraph::argument run_cpu()
{
    V v;
    auto p = v.create_program();
    auto_print pp{p, 0};
    p.compile(migraph::cpu::cpu_target{});
    migraph::program::parameter_map m;
    for(auto&& x : p.get_parameter_shapes())
    {
        m[x.first] = migraph::generate_argument(x.second);
    }
    return p.eval(m);
}

template <class V>
migraph::argument run_gpu()
{
    V v;
    auto p = v.create_program();
    auto_print pp{p, 1};
    p.compile(migraph::gpu::target{});

    migraph::program::parameter_map m;
    for(auto&& x : p.get_parameter_shapes())
    {
        m[x.first] = migraph::gpu::to_gpu(migraph::generate_argument(x.second));
    }

    return migraph::gpu::from_gpu(p.eval(m));
}

template <class V>
void verify_program()
{
    std::set_terminate(+[] {
        std::cout << "FAILED: " << migraph::get_type_name<V>() << std::endl;
        try
        {
            std::rethrow_exception(std::current_exception());
        }
        catch(const std::exception& e)
        {
            std::cout << "    what(): " << e.what() << std::endl;
        }
        std::cout << std::endl;
        for(auto&& handle : auto_print::handlers)
            handle();
    });
    auto cpu_arg_f = detach_async([] { return run_cpu<V>(); });
    auto gpu_arg   = run_gpu<V>();
    visit_all(cpu_arg_f.get(), gpu_arg)([](auto cpu, auto gpu) {
        if(not migraph::verify_range(cpu, gpu))
        {
            // TODO: Check for nans
            std::cout << "FAILED: " << migraph::get_type_name<V>() << std::endl;
        }
    });
    std::set_terminate(nullptr);
}

struct test_literals
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto input = p.add_literal(
            generate_literal(migraph::shape{migraph::shape::float_type, {4, 3, 3, 3}}));
        auto weights = p.add_literal(
            generate_literal(migraph::shape{migraph::shape::float_type, {4, 3, 3, 3}}));
        auto conv = p.add_instruction(migraph::convolution{}, input, weights);
        p.add_instruction(migraph::activation{"relu"}, conv);
        return p;
    }
};

struct test_add
{
    migraph::program create_program() const
    {
        migraph::program p;
        migraph::shape s{migraph::shape::float_type, {3}};
        auto x = p.add_parameter("x", s);
        auto y = p.add_parameter("y", s);
        p.add_instruction(migraph::add{}, x, y);
        return p;
    }
};

struct test_add_broadcast
{
    migraph::program create_program() const
    {
        migraph::program p;
        migraph::shape s{migraph::shape::float_type, {3}};
        auto x  = p.add_parameter("x", {migraph::shape::float_type, {2, 2, 3}});
        auto y  = p.add_parameter("y", {migraph::shape::float_type, {2, 2}});
        auto by = p.add_instruction(migraph::broadcast{0}, x, y);
        p.add_instruction(migraph::add{}, x, by);
        return p;
    }
};

struct test_conv_relu
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto input = p.add_parameter("x", migraph::shape{migraph::shape::float_type, {4, 3, 3, 3}});
        auto weights =
            p.add_parameter("w", migraph::shape{migraph::shape::float_type, {4, 3, 3, 3}});
        auto conv = p.add_instruction(migraph::convolution{}, input, weights);
        p.add_instruction(migraph::activation{"relu"}, conv);
        return p;
    }
};

struct test_conv_pooling
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto input =
            p.add_parameter("x", migraph::shape{migraph::shape::float_type, {4, 3, 32, 32}});
        auto weights =
            p.add_parameter("w", migraph::shape{migraph::shape::float_type, {4, 3, 3, 3}});
        auto conv    = p.add_instruction(migraph::convolution{}, input, weights);
        auto pooling = p.add_instruction(migraph::pooling{"max"}, conv);
        p.add_instruction(migraph::activation{"relu"}, pooling);
        return p;
    }
};

struct test_gemm
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto a = p.add_parameter("a", migraph::shape{migraph::shape::float_type, {4, 5}});
        auto b = p.add_parameter("b", migraph::shape{migraph::shape::float_type, {5, 3}});
        p.add_instruction(migraph::gemm{}, a, b);
        return p;
    }
};

struct test_gemm_ld
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto a = p.add_parameter("a", migraph::shape{migraph::shape::float_type, {4, 5}, {10, 1}});
        auto b = p.add_parameter("b", migraph::shape{migraph::shape::float_type, {5, 3}, {20, 1}});
        p.add_instruction(migraph::gemm{}, a, b);
        return p;
    }
};

struct test_gemm_transposeb
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto a  = p.add_parameter("a", migraph::shape{migraph::shape::float_type, {4, 5}});
        auto b  = p.add_parameter("b", migraph::shape{migraph::shape::float_type, {3, 5}});
        auto bt = p.add_instruction(migraph::transpose{{1, 0}}, b);
        p.add_instruction(migraph::gemm{}, a, bt);
        return p;
    }
};

struct test_gemm_transposea
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto a  = p.add_parameter("a", migraph::shape{migraph::shape::float_type, {5, 4}});
        auto b  = p.add_parameter("b", migraph::shape{migraph::shape::float_type, {5, 3}});
        auto at = p.add_instruction(migraph::transpose{{1, 0}}, a);
        p.add_instruction(migraph::gemm{}, at, b);
        return p;
    }
};

struct test_gemm_transposeab
{
    migraph::program create_program() const
    {
        migraph::program p;
        auto a  = p.add_parameter("a", migraph::shape{migraph::shape::float_type, {5, 4}});
        auto b  = p.add_parameter("b", migraph::shape{migraph::shape::float_type, {3, 5}});
        auto at = p.add_instruction(migraph::transpose{{1, 0}}, a);
        auto bt = p.add_instruction(migraph::transpose{{1, 0}}, b);
        p.add_instruction(migraph::gemm{}, at, bt);
        return p;
    }
};

struct test_contiguous
{
    migraph::program create_program() const
    {
        migraph::program p;
        migraph::shape s{migraph::shape::float_type, {4, 4, 4, 3}, {48, 4, 1, 16}};
        auto x = p.add_parameter("x", s);
        p.add_instruction(migraph::contiguous{}, x);
        return p;
    }
};

struct test_transpose
{
    migraph::program create_program() const
    {
        migraph::program p;
        migraph::shape s{migraph::shape::float_type, {4, 3, 4, 4}};
        auto x                    = p.add_parameter("x", s);
        std::vector<int64_t> perm = {0, 2, 3, 1};
        auto l                    = p.add_instruction(migraph::transpose{perm}, x);
        p.add_instruction(migraph::contiguous{}, l);
        return p;
    }
};

struct test_batchnorm_inference_2
{
    const size_t width    = 14;
    const size_t height   = 14;
    const size_t channels = 256;
    const size_t batches  = 1;

    migraph::program create_program() const
    {
        migraph::program p;

        migraph::shape s{migraph::shape::float_type, {batches, channels, height, width}};
        migraph::shape vars{migraph::shape::float_type, {channels}};
        auto x        = p.add_parameter("x", s);
        auto scale    = p.add_literal(migraph::abs(migraph::generate_literal(vars, 1)));
        auto bias     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 2)));
        auto mean     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 3)));
        auto variance = p.add_literal(migraph::abs(migraph::generate_literal(vars, 4)));
        p.add_instruction(migraph::batch_norm_inference{}, x, scale, bias, mean, variance);
        return p;
    }
};

struct test_batchnorm_inference
{
    const size_t width    = 3;
    const size_t height   = 3;
    const size_t channels = 3;
    const size_t batches  = 4;

    migraph::program create_program() const
    {
        migraph::program p;

        migraph::shape s{migraph::shape::float_type, {batches, channels, height, width}};
        migraph::shape vars{migraph::shape::float_type, {channels}};
        auto x        = p.add_parameter("x", s);
        auto scale    = p.add_literal(migraph::abs(migraph::generate_literal(vars, 1)));
        auto bias     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 2)));
        auto mean     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 3)));
        auto variance = p.add_literal(migraph::abs(migraph::generate_literal(vars, 4)));
        p.add_instruction(migraph::batch_norm_inference{}, x, scale, bias, mean, variance);
        return p;
    }
};

struct test_conv_bn_relu_pooling
{
    migraph::program create_program() const
    {
        migraph::program p;

        migraph::shape xs{migraph::shape::float_type, {1, 3, 224, 224}};
        migraph::shape ws{migraph::shape::float_type, {64, 3, 7, 7}};
        migraph::shape vars{migraph::shape::float_type, {64}};
        auto x    = p.add_parameter("x", xs);
        auto w    = p.add_parameter("w", ws);
        auto conv = p.add_instruction(migraph::convolution{{3, 3}, {2, 2}, {1, 1}}, x, w);
        auto scale    = p.add_literal(migraph::abs(migraph::generate_literal(vars, 1)));
        auto bias     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 2)));
        auto mean     = p.add_literal(migraph::abs(migraph::generate_literal(vars, 3)));
        auto variance = p.add_literal(migraph::abs(migraph::generate_literal(vars, 4)));
        auto bn =
            p.add_instruction(migraph::batch_norm_inference{}, conv, scale, bias, mean, variance);
        auto relu = p.add_instruction(migraph::activation{"relu"}, bn);
        p.add_instruction(migraph::pooling{"average", {1, 1}, {2, 2}, {3, 3}}, relu);
        return p;
    }
};

int main()
{
    verify_program<test_add>();
    verify_program<test_add_broadcast>();
    verify_program<test_conv_relu>();
    verify_program<test_conv_pooling>();
    verify_program<test_gemm>();
    // verify_program<test_gemm_ld>();
    verify_program<test_gemm_transposeb>();
    verify_program<test_gemm_transposea>();
    verify_program<test_gemm_transposeab>();
    verify_program<test_contiguous>();
    verify_program<test_transpose>();
    verify_program<test_batchnorm_inference>();
    verify_program<test_batchnorm_inference_2>();
}