Merge branch 'develop' of https://github.com/ROCmSoftwarePlatform/AMDMIGraphX into int8_miopen_call

CMakeLists.txt

@@ -22,7 +22,7 @@ find_package(ROCM REQUIRED)
 
 include(ROCMSetupVersion)
 
-rocm_setup_version(VERSION 0.2)
+rocm_setup_version(VERSION 0.3)
 
 option( BUILD_SHARED_LIBS "Build as a shared library" ON )
 

src/CMakeLists.txt

@@ -40,6 +40,7 @@ target_include_directories(migraphx SYSTEM PUBLIC $<BUILD_INTERFACE:${HALF_INCLU
 
 set(PACKAGE_DEPENDS)
 
+add_subdirectory(driver)
 add_subdirectory(onnx)
 add_subdirectory(tf)
 

src/driver/CMakeLists.txt

+
+add_executable(driver main.cpp verify.cpp perf.cpp)
+rocm_clang_tidy_check(driver)
+target_link_libraries(driver migraphx_cpu migraphx_onnx migraphx_tf)
+if(MIGRAPHX_ENABLE_GPU)
+target_link_libraries(driver migraphx_gpu)
+target_compile_definitions(driver PRIVATE -DHAVE_GPU)
+endif()

src/driver/argument_parser.hpp

+#ifndef MIGRAPHX_GUARD_RTGLIB_ARGUMENT_PARSER_HPP
+#define MIGRAPHX_GUARD_RTGLIB_ARGUMENT_PARSER_HPP
+
+#include <algorithm>
+#include <functional>
+#include <iostream>
+#include <set>
+#include <string>
+#include <sstream>
+#include <type_traits>
+#include <unordered_map>
+#include <utility>
+#include <vector>
+
+#include <migraphx/config.hpp>
+#include <migraphx/requires.hpp>
+#include <migraphx/type_name.hpp>
+#include <migraphx/functional.hpp>
+#include <migraphx/stringutils.hpp>
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+#ifdef MIGRAPHX_USE_CLANG_TIDY
+#define MIGRAPHX_DRIVER_STATIC
+#else
+#define MIGRAPHX_DRIVER_STATIC static
+#endif
+
+template <class T>
+struct value_parser
+{
+    template <MIGRAPHX_REQUIRES(not std::is_enum<T>{})>
+    static T apply(const std::string& x)
+    {
+        T result;
+        std::stringstream ss;
+        ss.str(x);
+        ss >> result;
+        if(ss.fail())
+            throw std::runtime_error("Failed to parse: " + x);
+        return result;
+    }
+
+    template <MIGRAPHX_REQUIRES(std::is_enum<T>{})>
+    static T apply(const std::string& x)
+    {
+        std::ptrdiff_t i;
+        std::stringstream ss;
+        ss.str(x);
+        ss >> i;
+        if(ss.fail())
+            throw std::runtime_error("Failed to parse: " + x);
+        return static_cast<T>(i);
+    }
+};
+
+struct argument_parser
+{
+    struct argument
+    {
+        std::vector<std::string> flags;
+        std::function<bool(argument_parser&, const std::vector<std::string>&)> action{};
+        std::string type          = "";
+        std::string help          = "";
+        std::string metavar       = "";
+        std::string default_value = "";
+        unsigned nargs            = 1;
+    };
+
+    template <class T, class... Fs>
+    void operator()(T& x, const std::vector<std::string>& flags, Fs... fs)
+    {
+        arguments.push_back({flags, [&](auto&&, const std::vector<std::string>& params) {
+                                 if(params.empty())
+                                     throw std::runtime_error("Flag with no value.");
+                                 x = value_parser<T>::apply(params.back());
+                                 return false;
+                             }});
+
+        argument& arg     = arguments.back();
+        arg.type          = migraphx::get_type_name<T>();
+        arg.default_value = to_string(x);
+        migraphx::each_args([&](auto f) { f(x, arg); }, fs...);
+    }
+
+    template <class... Fs>
+    void operator()(std::nullptr_t x, std::vector<std::string> flags, Fs... fs)
+    {
+        arguments.push_back({std::move(flags)});
+
+        argument& arg = arguments.back();
+        arg.type      = "";
+        arg.nargs     = 0;
+        migraphx::each_args([&](auto f) { f(x, arg); }, fs...);
+    }
+
+    MIGRAPHX_DRIVER_STATIC auto nargs(unsigned n = 1)
+    {
+        return [=](auto&&, auto& arg) { arg.nargs = n; };
+    }
+
+    template <class F>
+    MIGRAPHX_DRIVER_STATIC auto write_action(F f)
+    {
+        return [=](auto& x, auto& arg) {
+            arg.action = [&, f](auto& self, const std::vector<std::string>& params) {
+                f(self, x, params);
+                return false;
+            };
+        };
+    }
+
+    template <class F>
+    MIGRAPHX_DRIVER_STATIC auto do_action(F f)
+    {
+        return [=](auto&, auto& arg) {
+            arg.nargs  = 0;
+            arg.action = [&, f](auto& self, const std::vector<std::string>&) {
+                f(self);
+                return true;
+            };
+        };
+    }
+
+    MIGRAPHX_DRIVER_STATIC auto append()
+    {
+        return write_action([](auto&, auto& x, auto& params) {
+            using type = typename decltype(params)::value_type;
+            std::transform(params.begin(),
+                           params.end(),
+                           std::inserter(x, x.end()),
+                           [](std::string y) { return value_parser<type>::apply(y); });
+        });
+    }
+
+    MIGRAPHX_DRIVER_STATIC auto show_help(const std::string& msg = "")
+    {
+        return do_action([=](auto& self) {
+            for(auto&& arg : self.arguments)
+            {
+                std::cout << std::endl;
+                std::string prefix = "    ";
+                if(arg.flags.empty())
+                {
+                    std::cout << prefix;
+                    std::cout << arg.metavar;
+                }
+                for(const std::string& a : arg.flags)
+                {
+                    std::cout << prefix;
+                    std::cout << a;
+                    prefix = ", ";
+                }
+                if(not arg.type.empty())
+                {
+                    std::cout << " [" << arg.type << "]";
+                    if(not arg.default_value.empty())
+                        std::cout << " (Default: " << arg.default_value << ")";
+                }
+                std::cout << std::endl;
+                std::cout << "        " << arg.help << std::endl;
+            }
+            std::cout << std::endl;
+            if(not msg.empty())
+                std::cout << msg << std::endl;
+        });
+    }
+
+    MIGRAPHX_DRIVER_STATIC auto help(const std::string& help)
+    {
+        return [=](auto&, auto& arg) { arg.help = help; };
+    }
+
+    MIGRAPHX_DRIVER_STATIC auto metavar(const std::string& metavar)
+    {
+        return [=](auto&, auto& arg) { arg.metavar = metavar; };
+    }
+
+    template <class T>
+    MIGRAPHX_DRIVER_STATIC auto set_value(T value)
+    {
+        return [=](auto& x, auto& arg) {
+            arg.nargs  = 0;
+            arg.type   = "";
+            arg.action = [&, value](auto&, const std::vector<std::string>&) {
+                x = value;
+                return false;
+            };
+        };
+    }
+
+    bool parse(std::vector<std::string> args)
+    {
+        std::unordered_map<std::string, unsigned> keywords;
+        for(auto&& arg : arguments)
+        {
+            for(auto&& flag : arg.flags)
+                keywords[flag] = arg.nargs + 1;
+        }
+        auto arg_map =
+            generic_parse(std::move(args), [&](const std::string& x) { return keywords[x]; });
+        for(auto&& arg : arguments)
+        {
+            auto flags = arg.flags;
+            if(flags.empty())
+                flags = {""};
+            for(auto&& flag : flags)
+            {
+                if(arg_map.count(flag) > 0)
+                {
+                    if(arg.action(*this, arg_map[flag]))
+                        return true;
+                }
+            }
+        }
+        return false;
+    }
+
+    using string_map = std::unordered_map<std::string, std::vector<std::string>>;
+    template <class IsKeyword>
+    static string_map generic_parse(std::vector<std::string> as, IsKeyword is_keyword)
+    {
+        string_map result;
+
+        std::string flag;
+        bool clear = false;
+        for(auto&& x : as)
+        {
+            auto k = is_keyword(x);
+            if(k > 0)
+            {
+                flag = x;
+                result[flag]; // Ensure the flag exists
+                if(k == 1)
+                    flag = "";
+                else if(k == 2)
+                    clear = true;
+                else
+                    clear = false;
+            }
+            else
+            {
+                result[flag].push_back(x);
+                if(clear)
+                    flag = "";
+                clear = false;
+            }
+        }
+        return result;
+    }
+
+    private:
+    std::vector<argument> arguments;
+};
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx
+
+#endif

src/driver/command.hpp

+#ifndef MIGRAPHX_GUARD_RTGLIB_COMMAND_HPP
+#define MIGRAPHX_GUARD_RTGLIB_COMMAND_HPP
+
+#include "argument_parser.hpp"
+
+#include <migraphx/config.hpp>
+#include <migraphx/type_name.hpp>
+#include <migraphx/stringutils.hpp>
+
+#include <unordered_map>
+#include <utility>
+#include <vector>
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+inline auto& get_commands()
+{
+    static std::unordered_map<std::string, std::function<void(std::vector<std::string> args)>> m;
+    return m;
+}
+
+template <class T>
+std::string compute_command_name()
+{
+    static const std::string& tname = get_type_name<T>();
+    auto name                       = tname.substr(tname.rfind("::") + 2);
+    if(ends_with(name, "_command"))
+        name = name.substr(0, name.size() - 8);
+    if(ends_with(name, "_cmd"))
+        name = name.substr(0, name.size() - 4);
+    return name;
+}
+
+template <class T>
+const std::string& command_name()
+{
+    static const std::string& name = compute_command_name<T>();
+    return name;
+}
+
+template <class T>
+void run_command(std::vector<std::string> args, bool add_help = false)
+{
+    T x;
+    argument_parser ap;
+    if(add_help)
+        ap(nullptr, {"-h", "--help"}, ap.help("Show help"), ap.show_help());
+    x.parse(ap);
+    if(ap.parse(std::move(args)))
+        return;
+    x.run();
+}
+
+template <class T>
+int auto_register_command()
+{
+    auto& m              = get_commands();
+    m[command_name<T>()] = [](std::vector<std::string> args) { run_command<T>(args, true); };
+    return 0;
+}
+
+template <class T>
+struct command
+{
+    static int static_register;
+    // This typedef ensures that the static member will be instantiated if
+    // the class itself is instantiated
+    using static_register_type =
+        std::integral_constant<decltype(&static_register), &static_register>;
+};
+
+#ifdef __clang__
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Wglobal-constructors"
+#endif
+
+template <class T>
+int command<T>::static_register = auto_register_command<T>(); // NOLINT
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx
+
+#endif

src/driver/main.cpp

+#include "argument_parser.hpp"
+#include "command.hpp"
+#include "verify.hpp"
+#include "perf.hpp"
+
+#include <migraphx/tf.hpp>
+#include <migraphx/onnx.hpp>
+#include <migraphx/stringutils.hpp>
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+struct loader
+{
+    std::string file;
+    std::string file_type;
+    bool is_nhwc  = true;
+    unsigned trim = 0;
+
+    void parse(argument_parser& ap)
+    {
+        ap(file, {}, ap.metavar("<input file>"));
+        ap(file_type, {"--onnx"}, ap.help("Load as onnx"), ap.set_value("onnx"));
+        ap(file_type, {"--tf"}, ap.help("Load as tensorflow"), ap.set_value("tf"));
+        ap(is_nhwc, {"--nhwc"}, ap.help("Treat tensorflow format as nhwc"), ap.set_value(true));
+        ap(is_nhwc, {"--nchw"}, ap.help("Treat tensorflow format as nchw"), ap.set_value(false));
+        ap(trim, {"--trim", "-t"}, ap.help("Trim instructions from the end"));
+    }
+
+    program load()
+    {
+        program p;
+        if(file_type.empty())
+        {
+            if(ends_with(file, ".onnx"))
+                file_type = "onnx";
+            else if(ends_with(file, ".pb"))
+                file_type = "tf";
+        }
+        std::cout << "Reading: " << file << std::endl;
+        if(file_type == "onnx")
+            p = parse_onnx(file);
+        else if(file_type == "tf")
+            p = parse_tf(file, is_nhwc);
+        if(trim > 0)
+        {
+            auto last = std::prev(p.end(), trim);
+            p.remove_instructions(last, p.end());
+        }
+        return p;
+    }
+};
+
+struct compiler
+{
+    loader l;
+    bool gpu = true;
+    void parse(argument_parser& ap)
+    {
+        l.parse(ap);
+        ap(gpu, {"--gpu"}, ap.help("Compile on the gpu"), ap.set_value(true));
+        ap(gpu, {"--cpu"}, ap.help("Compile on the cpu"), ap.set_value(false));
+    }
+
+    program compile()
+    {
+        auto p = l.load();
+        compile_program(p, gpu);
+        return p;
+    }
+
+    auto params(const program& p) { return create_param_map(p, gpu); }
+};
+
+struct read : command<read>
+{
+    loader l;
+    void parse(argument_parser& ap) { l.parse(ap); }
+
+    void run()
+    {
+        auto p = l.load();
+        std::cout << p << std::endl;
+    }
+};
+
+struct verify : command<verify>
+{
+    loader l;
+    double tolerance     = 80;
+    bool per_instruction = false;
+    bool reduce          = false;
+    void parse(argument_parser& ap)
+    {
+        l.parse(ap);
+        ap(tolerance, {"--tolerance"}, ap.help("Tolerance for errors"));
+        ap(per_instruction,
+           {"-i", "--per-instruction"},
+           ap.help("Verify each instruction"),
+           ap.set_value(true));
+        ap(reduce, {"-r", "--reduce"}, ap.help("Reduce program and verify"), ap.set_value(true));
+    }
+
+    void run()
+    {
+        auto p = l.load();
+        std::cout << p << std::endl;
+
+        if(per_instruction)
+        {
+            verify_instructions(p, tolerance);
+        }
+        else if(reduce)
+        {
+            verify_reduced_program(p, tolerance);
+        }
+        else
+        {
+            verify_program(l.file, p, tolerance);
+        }
+    }
+};
+
+struct compile : command<compile>
+{
+    compiler c;
+    void parse(argument_parser& ap) { c.parse(ap); }
+
+    void run()
+    {
+        std::cout << "Compiling ... " << std::endl;
+        auto p = c.compile();
+        std::cout << p << std::endl;
+    }
+};
+
+struct run_cmd : command<run_cmd>
+{
+    compiler c;
+    void parse(argument_parser& ap) { c.parse(ap); }
+
+    void run()
+    {
+        std::cout << "Compiling ... " << std::endl;
+        auto p = c.compile();
+        std::cout << "Allocating params ... " << std::endl;
+        auto m = c.params(p);
+        p.eval(m);
+        std::cout << p << std::endl;
+    }
+};
+
+struct perf : command<perf>
+{
+    compiler c;
+    unsigned n = 100;
+    void parse(argument_parser& ap)
+    {
+        c.parse(ap);
+        ap(n, {"--iterations", "-n"}, ap.help("Number of iterations to run for perf report"));
+    }
+
+    void run()
+    {
+        std::cout << "Compiling ... " << std::endl;
+        auto p = c.compile();
+        std::cout << "Allocating params ... " << std::endl;
+        auto m = c.params(p);
+        std::cout << "Running performance report ... " << std::endl;
+        p.perf_report(std::cout, n, m);
+    }
+};
+
+struct main_command
+{
+    static std::string get_command_help()
+    {
+        std::string result = "Commands:\n";
+        return std::accumulate(get_commands().begin(),
+                               get_commands().end(),
+                               result,
+                               [](auto r, auto&& p) { return r + "    " + p.first + "\n"; });
+    }
+    void parse(argument_parser& ap)
+    {
+        ap(nullptr, {"-h", "--help"}, ap.help("Show help"), ap.show_help(get_command_help()));
+    }
+
+    void run() {}
+};
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx
+
+using namespace migraphx::driver; // NOLINT
+int main(int argc, const char* argv[])
+{
+    std::vector<std::string> args(argv + 1, argv + argc);
+    if(args.empty())
+        return 0;
+    auto&& m = get_commands();
+    auto cmd = args.front();
+    if(m.count(cmd) > 0)
+    {
+        m.at(cmd)({args.begin() + 1, args.end()});
+    }
+    else
+    {
+        run_command<main_command>(args);
+    }
+    return 0;
+}

src/driver/perf.cpp

+#include "perf.hpp"
+
+#include <migraphx/cpu/target.hpp>
+#include <migraphx/generate.hpp>
+#ifdef HAVE_GPU
+#include <migraphx/gpu/target.hpp>
+#include <migraphx/gpu/hip.hpp>
+#endif
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+program::parameter_map create_param_map(const program& p, bool gpu)
+{
+    program::parameter_map m;
+    for(auto&& x : p.get_parameter_shapes())
+    {
+#ifdef HAVE_GPU
+        if(gpu)
+            m[x.first] = gpu::to_gpu(generate_argument(x.second));
+        else
+#else
+        (void)gpu;
+#endif
+            m[x.first] = generate_argument(x.second);
+    }
+    return m;
+}
+
+void compile_program(program& p, bool gpu)
+{
+    if(gpu)
+    {
+#ifdef HAVE_GPU
+        p.compile(gpu::target{});
+#else
+        MIGRAPHX_THROW("Gpu not supported.");
+#endif
+    }
+    else
+    {
+        p.compile(cpu::target{});
+    }
+}
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx

src/driver/perf.hpp

+#ifndef MIGRAPHX_GUARD_RTGLIB_PERF_HPP
+#define MIGRAPHX_GUARD_RTGLIB_PERF_HPP
+
+#include <migraphx/program.hpp>
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+program::parameter_map create_param_map(const program& p, bool gpu = true);
+void compile_program(program& p, bool gpu = true);
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx
+
+#endif

src/driver/verify.cpp

+#include "verify.hpp"
+
+#include <migraphx/cpu/target.hpp>
+#include <migraphx/generate.hpp>
+#include <migraphx/verify_args.hpp>
+#include <migraphx/instruction.hpp>
+
+#ifdef HAVE_GPU
+#include <migraphx/gpu/target.hpp>
+#include <migraphx/gpu/hip.hpp>
+#endif
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+template <class T>
+auto get_hash(const T& x)
+{
+    return std::hash<T>{}(x);
+}
+
+argument run_cpu(program p)
+{
+    p.compile(cpu::target{});
+    program::parameter_map m;
+    for(auto&& x : p.get_parameter_shapes())
+    {
+        m[x.first] = generate_argument(x.second, get_hash(x.first));
+    }
+    auto out = p.eval(m);
+    std::cout << p << std::endl;
+    return out;
+}
+
+argument run_gpu(program p)
+{
+#ifdef HAVE_GPU
+    p.compile(gpu::target{});
+
+    program::parameter_map m;
+    for(auto&& x : p.get_parameter_shapes())
+    {
+        m[x.first] = gpu::to_gpu(generate_argument(x.second, get_hash(x.first)));
+    }
+    auto out = gpu::from_gpu(p.eval(m));
+    std::cout << p << std::endl;
+    return gpu::from_gpu(out);
+#else
+    (void)p;
+    MIGRAPHX_THROW("Gpu unsupported!");
+#endif
+}
+
+void verify_program(const std::string& name, const program& p, double tolerance)
+{
+    auto x = run_cpu(p);
+    auto y = run_gpu(p);
+    verify_args(name, x, y, tolerance);
+    // std::cout << "cpu: " << x << std::endl;
+    // std::cout << "gpu: " << y << std::endl;
+}
+
+void verify_instructions(const program& prog, double tolerance)
+{
+    for(auto&& ins : prog)
+    {
+        if(ins.name().front() == '@')
+            continue;
+        if(ins.name() == "broadcast")
+            continue;
+        if(ins.name() == "transpose")
+            continue;
+        if(ins.name() == "reshape")
+            continue;
+        program p;
+        std::vector<instruction_ref> inputs;
+        for(auto&& arg : ins.inputs())
+        {
+            if(arg->name() == "@literal")
+                inputs.push_back(p.add_literal(arg->get_literal()));
+            else
+                inputs.push_back(p.add_parameter(std::to_string(inputs.size()), arg->get_shape()));
+        }
+        p.add_instruction(ins.get_operator(), inputs);
+        try
+        {
+            std::cout << "Verify: " << ins.name() << std::endl;
+            std::cout << p << std::endl;
+            verify_program(ins.name(), p, tolerance);
+        }
+        catch(...)
+        {
+            std::cout << "Instruction " << ins.name() << " threw an exception." << std::endl;
+            throw;
+        }
+    }
+}
+
+void verify_reduced(program p, int n, double tolerance)
+{
+    auto last = std::prev(p.end(), n + 1);
+    p.remove_instructions(last, p.end());
+    std::cout << "Verify: " << std::endl;
+    std::cout << p << std::endl;
+    verify_program(std::to_string(n), p, tolerance);
+}
+
+void verify_reduced_program(const program& p, double tolerance)
+{
+    auto n = std::distance(p.begin(), p.end());
+    for(std::size_t i = 0; i < n; i++)
+    {
+        verify_reduced(p, i, tolerance);
+    }
+}
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx

src/driver/verify.hpp

+#ifndef MIGRAPHX_GUARD_RTGLIB_DRIVER_VERIFY_HPP
+#define MIGRAPHX_GUARD_RTGLIB_DRIVER_VERIFY_HPP
+
+#include <migraphx/program.hpp>
+
+namespace migraphx {
+namespace driver {
+inline namespace MIGRAPHX_INLINE_NS {
+
+argument run_cpu(program p);
+argument run_gpu(program p);
+void verify_program(const std::string& name, const program& p, double tolerance = 100);
+void verify_instructions(const program& prog, double tolerance = 80);
+void verify_reduced_program(const program& p, double tolerance = 80);
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace driver
+} // namespace migraphx
+
+#endif

src/eliminate_pad.cpp

@@ -43,9 +43,7 @@ void eliminate_pad::update_op(T,
     std::vector<int64_t> pads = pad_op.pads;
     std::array<size_t, 2> new_pads{static_cast<size_t>(pads[2]), static_cast<size_t>(pads[3])};
 
-    T op = any_cast<T>(ins->get_operator());
-    if(op.padding_mode != op::padding_mode_t::default_)
-        return;
+    T op       = any_cast<T>(ins->get_operator());
     op.padding = new_pads;
 
     std::vector<instruction_ref> new_inputs{ins->inputs()};

src/include/migraphx/op/convolution.hpp

@@ -44,51 +44,24 @@ struct convolution
         const shape& input   = inputs.at(0);
         const shape& weights = inputs.at(1);
         auto t               = input.type();
-        if(padding_mode == default_)
-        {
-            return {t,
-                    {
-                        input.lens()[0],
-                        weights.lens()[0],
-                        std::size_t(std::max<std::ptrdiff_t>(
-                            1,
-                            (input.lens()[2] - (1 + dilation[0] * (weights.lens()[2] - 1)) +
-                             2 * padding[0]) /
-                                    stride[0] +
-                                1)),
-                        std::size_t(std::max<std::ptrdiff_t>(
-                            1,
-                            (input.lens()[3] - (1 + dilation[1] * (weights.lens()[3] - 1)) +
-                             2 * padding[1]) /
-                                    stride[1] +
-                                1)),
-                    }};
-        }
-        else if(padding_mode == same)
-        {
-            return {t,
-                    {input.lens()[0],
-                     weights.lens()[0],
-                     static_cast<std::size_t>(
-                         std::ceil(static_cast<double>(input.lens()[2]) / stride[0])),
-                     static_cast<std::size_t>(
-                         std::ceil(static_cast<double>(input.lens()[3]) / stride[1]))}};
-        }
-        else if(padding_mode == valid)
-        {
-            return {
-                t,
-                {input.lens()[0],
-                 weights.lens()[0],
-                 static_cast<std::size_t>(std::ceil(
-                     static_cast<double>(input.lens()[2] - weights.lens()[2] + 1) / stride[0])),
-                 static_cast<std::size_t>(std::ceil(
-                     static_cast<double>(input.lens()[3] - weights.lens()[3] + 1) / stride[1]))}};
-        }
-        else
-        {
-            MIGRAPHX_THROW("Invalid padding mode");
-        }
+
+        return {t,
+                {
+                    input.lens()[0],
+                    weights.lens()[0],
+                    std::size_t(std::max<std::ptrdiff_t>(
+                        1,
+                        (input.lens()[2] - (1 + dilation[0] * (weights.lens()[2] - 1)) +
+                         2 * padding[0]) /
+                                stride[0] +
+                            1)),
+                    std::size_t(std::max<std::ptrdiff_t>(
+                        1,
+                        (input.lens()[3] - (1 + dilation[1] * (weights.lens()[3] - 1)) +
+                         2 * padding[1]) /
+                                stride[1] +
+                            1)),
+                }};
     }
 };
 

src/include/migraphx/op/pooling.hpp

@@ -31,7 +31,7 @@ struct pooling
     {
         return pack(f(self.mode, "mode"),
                     f(self.padding, "padding"),
-                    f(self.padding, "padding_mode"),
+                    f(self.padding_mode, "padding_mode"),
                     f(self.stride, "stride"),
                     f(self.lengths, "lengths"));
     }
@@ -48,51 +48,21 @@ struct pooling
         assert(lengths[0] <= (input.lens()[2] + 2 * padding[0]));
         assert(lengths[1] <= (input.lens()[3] + 2 * padding[1]));
 
-        if(padding_mode == default_)
-        {
-            return {t,
-                    {
-                        input.lens()[0],
-                        input.lens()[1],
-                        std::size_t(std::max<std::ptrdiff_t>(
-                            1,
-                            floor_divide<std::ptrdiff_t>(
-                                input.lens()[2] + 2 * padding[0] - lengths[0], stride[0]) +
-                                1)),
-                        std::size_t(std::max<std::ptrdiff_t>(
-                            1,
-                            floor_divide<std::ptrdiff_t>(
-                                input.lens()[3] + 2 * padding[1] - lengths[1], stride[1]) +
-                                1)),
-                    }};
-        }
-        else if(padding_mode == same)
-        {
-            return {t,
-                    {input.lens()[0],
-                     input.lens()[1],
-                     ceil_divide<std::size_t>(input.lens()[2], stride[0]),
-                     ceil_divide<std::size_t>(input.lens()[3], stride[1])}};
-        }
-        else if(padding_mode == valid)
-        {
-            return {
-                t,
+        return {t,
                 {
                     input.lens()[0],
                     input.lens()[1],
                     std::size_t(std::max<std::ptrdiff_t>(
                         1,
-                        floor_divide<std::ptrdiff_t>(input.lens()[2] - lengths[0], stride[0]) + 1)),
+                        floor_divide<std::ptrdiff_t>(input.lens()[2] + 2 * padding[0] - lengths[0],
+                                                     stride[0]) +
+                            1)),
                     std::size_t(std::max<std::ptrdiff_t>(
                         1,
-                        floor_divide<std::ptrdiff_t>(input.lens()[3] - lengths[1], stride[1]) + 1)),
+                        floor_divide<std::ptrdiff_t>(input.lens()[3] + 2 * padding[1] - lengths[1],
+                                                     stride[1]) +
+                            1)),
                 }};
-        }
-        else
-        {
-            MIGRAPHX_THROW("Invalid padding mode");
-        }
     }
 };
 

src/include/migraphx/pad_calc.hpp

@@ -2,13 +2,24 @@
 #define MIGRAPHX_GUARD_OPERATORS_PAD_CALC_HPP
 
 #include <utility>
+#include <cstdint>
+#include <vector>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
 
-inline std::size_t calculate_padding(std::size_t weight_dim, std::size_t dilation)
+inline void calculate_padding(int64_t idx,
+                              std::vector<int64_t>& pads,
+                              int64_t input_dim,
+                              int64_t stride,
+                              int64_t dilation,
+                              int64_t weight_dim)
 {
-    return (dilation * (weight_dim - 1)) / 2;
+    int64_t output_dim = input_dim / stride;
+    int64_t pad        = std::max(static_cast<int64_t>(0),
+                           (output_dim - 1) * stride + dilation * weight_dim - input_dim);
+    pads[idx]          = pad / 2;
+    pads[idx + 2]      = pad - pad / 2;
 }
 
 } // namespace MIGRAPHX_INLINE_NS

src/include/migraphx/requires.hpp

@@ -15,35 +15,18 @@ struct and_ : std::is_same<and_<Bs...>, and_<(Bs || true)...>> // NOLINT
 template <bool B>
 using bool_c = std::integral_constant<bool, B>;
 
-template <int N>
-struct requires_enum
-{
-    enum e
-    {
-        a = 0
-    };
-};
+#define MIGRAPHX_REQUIRES_PRIMITIVE_CAT(x, y) x##y
+#define MIGRAPHX_REQUIRES_CAT(x, y) MIGRAPHX_REQUIRES_PRIMITIVE_CAT(x, y)
 
-#define MIGRAPHX_REQUIRES_CAT(x, y) x##y
+#define MIGRAPHX_REQUIRES_VAR() MIGRAPHX_REQUIRES_CAT(PrivateRequires, __LINE__)
 
 #ifdef CPPCHECK
 #define MIGRAPHX_REQUIRES(...) class = void
 #else
-#if 0
-// TODO: This currently crashed on clang
-#define MIGRAPHX_REQUIRES(...)                                                                       \
-    typename migraphx::requires_enum<__LINE__>::e MIGRAPHX_REQUIRES_CAT(                             \
-        PrivateRequires,                                                                             \
-        __LINE__) = migraphx::requires_enum<__LINE__>::a,                                            \
-        class     = typename std::enable_if<and_<__VA_ARGS__,                                        \
-                                             MIGRAPHX_REQUIRES_CAT(PrivateRequires, __LINE__) == \
-                                                 migraphx::requires_enum<__LINE__>::a>{}>::type
-#else
-#define MIGRAPHX_REQUIRES(...)                                             \
-    typename migraphx::requires_enum<__LINE__>::e MIGRAPHX_REQUIRES_CAT(   \
-        PrivateRequires, __LINE__) = migraphx::requires_enum<__LINE__>::a, \
-                         class     = typename std::enable_if<and_<__VA_ARGS__>{}>::type
-#endif
+#define MIGRAPHX_REQUIRES(...)                                                                 \
+    bool MIGRAPHX_REQUIRES_VAR()            = true,                                            \
+         typename std::enable_if<(MIGRAPHX_REQUIRES_VAR() && (migraphx::and_<__VA_ARGS__>{})), \
+                                 int>::type = 0
 #endif
 
 } // namespace MIGRAPHX_INLINE_NS

src/include/migraphx/streamutils.hpp

@@ -42,7 +42,9 @@ template <class Range>
 auto stream_write_value_impl(rank<1>, std::ostream& os, const Range& r)
     -> decltype(r.begin(), r.end(), void())
 {
+    os << "{";
     os << stream_range(r);
+    os << "}";
 }
 
 template <class T>

src/onnx/CMakeLists.txt

@@ -19,7 +19,7 @@ rocm_install_targets(
 
 add_executable(read_onnx read_onnx.cpp)
 rocm_clang_tidy_check(read_onnx)
-target_link_libraries(read_onnx migraphx_onnx)
+target_link_libraries(read_onnx migraphx_cpu migraphx_onnx)
 
 
 if(MIGRAPHX_ENABLE_GPU)

src/onnx/onnx.cpp

@@ -352,7 +352,8 @@ struct onnx_parser
             {
                 // insert zeros for pad op (args[0] has 4 dims)
                 padding = {0, 0, padding[0], padding[1], 0, 0, padding[2], padding[3]};
-                l0      = prog.add_instruction(op::pad{padding}, l0);
+                l0 = prog.add_instruction(op::pad{padding, std::numeric_limits<float>::lowest()},
+                                          l0);
             }
             else
             {

src/targets/gpu/device/include/migraphx/gpu/device/types.hpp

@@ -64,9 +64,9 @@ host_type<T>* host_cast(T* x)
 }
 
 template <class T>
-device_type<T> device_cast(T x)
+device_type<T> device_cast(const T& x)
 {
-    return reinterpret_cast<device_type<T>>(x);
+    return reinterpret_cast<const device_type<T>&>(x);
 }
 
 template <class T>

src/targets/gpu/device/pad.cpp

@@ -4,6 +4,7 @@
 #include <migraphx/gpu/device/pad.hpp>
 #include <migraphx/gpu/device/tensor.hpp>
 #include <migraphx/gpu/device/launch.hpp>
+#include <migraphx/float_equal.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
@@ -14,8 +15,17 @@ argument
 pad(hipStream_t stream, argument result, argument arg1, float value, std::vector<std::int64_t> pads)
 {
     std::size_t nelements = arg1.get_shape().elements();
+    visit_all(result)([&](auto output) {
+        auto* outptr                 = device_cast(output.data());
+        using type                   = typename decltype(output)::value_type;
+        device_type<type> device_val = value;
+        if(float_equal(value, std::numeric_limits<float>::lowest()))
+        {
+            device_val = device_cast(std::numeric_limits<type>::lowest());
+        }
+        gs_launch(stream, result.get_shape().elements())([=](auto i) { outptr[i] = device_val; });
+    });
 
-    nary(stream, result)([=] { return value; });
     visit_all(result, arg1)([&](auto output, auto input) {
         visit_tensor_size(result.get_shape().lens().size(), [&](auto ndim) {
             std::size_t offsets[ndim];