Merge branch 'dyn_batch_pass' of github.com:ROCmSoftwarePlatform/AMDMIGraphX into dyn_test_runner

src/py/migraphx_py.cpp

@@ -345,15 +345,21 @@ MIGRAPHX_PYBIND11_MODULE(migraphx, m)
         .def("is_compiled", &migraphx::program::is_compiled)
         .def(
             "compile",
-            [](migraphx::program& p, const migraphx::target& t, bool offload_copy, bool fast_math) {
+            [](migraphx::program& p,
+               const migraphx::target& t,
+               bool offload_copy,
+               bool fast_math,
+               bool exhaustive_tune) {
                 migraphx::compile_options options;
-                options.offload_copy = offload_copy;
-                options.fast_math    = fast_math;
+                options.offload_copy    = offload_copy;
+                options.fast_math       = fast_math;
+                options.exhaustive_tune = exhaustive_tune;
                 p.compile(t, options);
             },
             py::arg("t"),
-            py::arg("offload_copy") = true,
-            py::arg("fast_math")    = true)
+            py::arg("offload_copy")    = true,
+            py::arg("fast_math")       = true,
+            py::arg("exhaustive_tune") = false)
         .def("get_main_module", [](const migraphx::program& p) { return p.get_main_module(); })
         .def(
             "create_module",

src/replace_allocate.cpp

@@ -104,19 +104,17 @@ void replace_allocate::apply(module& m) const
             continue;
 
         auto s = ins->get_shape();
-
-        if(not main_offload_copy and model.needs_out_params() and contains(mod_output_names, ins))
+        if(not main_offload_copy and not(m.use_local_alloc) and model.needs_out_params() and
+           contains(mod_output_names, ins))
         {
-
             auto out_param = m.add_parameter(mod_output_names[ins], s);
             m.replace_instruction(ins, out_param);
-            continue;
         }
-
-        m.replace_instruction(
-            ins,
-            m.insert_instruction(ins,
-                                 make_op(model.name(), migraphx::value{{"shape", to_value(s)}})));
+        else
+        {
+            m.replace_instruction(ins,
+                                  make_op(model.name(), migraphx::value{{"shape", to_value(s)}}));
+        }
     }
 }
 

src/shape.cpp

@@ -483,6 +483,17 @@ std::string shape::type_string() const { return name(this->type()); }
 
 bool shape::dynamic() const { return not impl->m_dyn_dims.empty(); }
 
+bool shape::any_of_dynamic() const
+{
+    if(this->dynamic())
+    {
+        return true;
+    }
+    return std::any_of(this->sub_shapes().cbegin(), this->sub_shapes().cend(), [](auto s) {
+        return s.any_of_dynamic();
+    });
+}
+
 const std::vector<shape::dynamic_dimension>& shape::dyn_dims() const { return impl->m_dyn_dims; }
 
 std::vector<std::size_t> shape::min_lens() const

src/simplify_algebra.cpp

@@ -31,6 +31,7 @@
 #include <migraphx/op/reshape.hpp>
 #include <migraphx/op/transpose.hpp>
 #include <migraphx/matcher.hpp>
+#include <migraphx/common.hpp>
 #include <migraphx/literal.hpp>
 #include <migraphx/make_op.hpp>
 #include <migraphx/serialize.hpp>
@@ -340,12 +341,18 @@ struct find_inner_broadcast
                        std::back_inserter(inputs),
                        [](auto i) { return i->inputs().front(); });
         if(std::any_of(inputs.begin(), inputs.end(), [&](auto i) {
-               return i->get_shape() != inputs.front()->get_shape();
+               return i->get_shape() != inputs.front()->get_shape() and
+                      i->get_shape().elements() != 1;
            }))
             return;
 
-        auto op = m.insert_instruction(ins, ins->get_operator(), inputs);
-        m.replace_instruction(ins, broadcasts.front()->get_operator(), op);
+        auto b_it = std::find_if(broadcasts.begin(), broadcasts.end(), [&](auto i) {
+            return not i->get_shape().scalar();
+        });
+        if(b_it == broadcasts.end())
+            b_it = broadcasts.begin();
+        auto op = insert_common_op(m, ins, ins->get_operator(), inputs);
+        m.replace_instruction(ins, (*b_it)->get_operator(), op);
     }
 };
 
@@ -975,7 +982,7 @@ struct find_neg_unit_ops
         auto ins  = r.result;
         auto c_in = r.instructions["x"];
 
-        auto neg = m.add_instruction(make_op("neg"), c_in);
+        auto neg = m.insert_instruction(ins, make_op("neg"), c_in);
         m.replace_instruction(ins, neg);
     }
 };

src/split_single_dyn_dim.cpp

+/*
+ * The MIT License (MIT)
+ *
+ * Copyright (c) 2015-2023 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 <migraphx/split_single_dyn_dim.hpp>
+#include <migraphx/functional.hpp>
+#include <migraphx/pass_manager.hpp>
+#include <migraphx/make_op.hpp>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+
+bool has_one_dyn_dim(std::unordered_map<std::string, shape> param_shapes,
+                     std::string& dyn_param_str,
+                     int& dyn_index,
+                     int& min_dim,
+                     int& max_dim)
+{
+    // true if parameters contain exactly one dynamic shape with exactly one non-fixed
+    // dynamic_dimension
+    if(std::none_of(
+           param_shapes.cbegin(), param_shapes.cend(), [](auto ps) { return ps.second.dynamic(); }))
+        return false;
+    int num_dynamic = 0;
+    std::string out_str;
+    int tmp_min = -1;
+    int tmp_max = -1;
+    int tmp_ind = -1;
+    for(auto ps : param_shapes)
+    {
+        if(ps.second.dynamic())
+        {
+            num_dynamic += 1;
+            if(num_dynamic > 1)
+            {
+                return false;
+            }
+            int num_nf = 0;
+            auto dds   = ps.second.dyn_dims();
+            for(int i = 0; i < dds.size(); ++i)
+            {
+                const auto& dd = dds.at(i);
+                if(not dd.is_fixed())
+                {
+                    num_nf += 1;
+                    tmp_min = dd.min;
+                    tmp_max = dd.max;
+                    tmp_ind = i;
+                }
+            }
+            if(num_nf == 1)
+            {
+                out_str = ps.first;
+            }
+            else
+            {
+                return false;
+            }
+        }
+    }
+    min_dim       = tmp_min;
+    max_dim       = tmp_max;
+    dyn_index     = tmp_ind;
+    dyn_param_str = out_str;
+    return true;
+}
+
+/**
+ * Make all the batch sizes in the range for now.
+ * Probably won't work for `if` and `loop` instructions, depending on how the submodules for those
+ * work create additional submodules for optimal values if not already done insert select_module
+ * instruction to the top, replace return bypassing other instructions. Unused instructions should
+ * be removed by dead_code_elimination
+ */
+void split_single_dyn_dim::apply(module_pass_manager& mpm) const
+{
+    module_ref mm     = &mpm.get_module();
+    auto param_names  = mm->get_parameter_names();
+    auto param_shapes = mm->get_parameter_shapes();
+    std::string dyn_param_name;
+    int dyn_index;
+    int min_dim;
+    int max_dim;
+    if(has_one_dyn_dim(param_shapes, dyn_param_name, dyn_index, min_dim, max_dim))
+    {
+        const auto& dyn_param = mm->get_parameter(dyn_param_name);
+        auto dyn_param_shape  = mm->get_parameter_shape(dyn_param_name);
+        std::vector<module_ref> submodules;
+        // create submodules for each dimension size
+        for(int dim_size = min_dim; dim_size <= max_dim; ++dim_size)
+        {
+            auto submod = mpm.create_module("batch_" + std::to_string(dim_size));
+            // instruction map for new static submodule parameters
+            std::unordered_map<instruction_ref, instruction_ref> map_ins;
+            // create static shape using dim_size
+            auto static_lens          = dyn_param_shape.max_lens();
+            static_lens.at(dyn_index) = dim_size;
+            auto static_param         = submod->add_parameter(
+                dyn_param_name, migraphx::shape{dyn_param_shape.type(), static_lens});
+            map_ins[dyn_param] = static_param;
+            auto outputs       = submod->add_instructions(mm, map_ins);
+            submod->add_return({outputs});
+            submodules.push_back(submod);
+        }
+        // redirect to select_module operator and return
+        std::vector<instruction_ref> sm_inputs;
+        std::transform(param_names.cbegin(),
+                       param_names.cend(),
+                       std::back_inserter(sm_inputs),
+                       [&](auto pn) { return mm->get_parameter(pn); });
+        migraphx::shape out_attr = migraphx::shape{mm->get_output_shapes()};
+        auto sm_ins              = mm->add_instruction(
+            migraphx::make_op("select_module",
+                              {{"output_dyn_shapes", migraphx::to_value(out_attr)}}),
+            sm_inputs,
+            submodules);
+        mm->replace_return({sm_ins});
+    }
+}
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx

src/targets/gpu/CMakeLists.txt

-#####################################################################################
+# ####################################################################################
 # The MIT License (MIT)
 #
 # Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
@@ -20,9 +20,9 @@
 # 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.
-#####################################################################################
+# ####################################################################################
 
-list(APPEND CMAKE_PREFIX_PATH /opt/rocm /opt/rocm/hip /opt/rocm/hcc)
+list(APPEND CMAKE_PREFIX_PATH /opt/rocm /opt/rocm/hip)
 find_package(miopen)
 
 # rocblas
@@ -33,6 +33,8 @@ if(NOT TARGET MIOpen)
     message(SEND_ERROR "Cant find miopen")
 endif()
 
+set(MIGRAPHX_USE_HIPRTC OFF CACHE BOOL "Use hipRTC APIs")
+
 include(Embed)
 file(GLOB KERNEL_FILES ${CONFIGURE_DEPENDS}
     ${CMAKE_CURRENT_SOURCE_DIR}/kernels/include/migraphx/kernels/*.hpp)
@@ -46,9 +48,10 @@ add_library(compile_for_gpu INTERFACE)
 target_compile_options(compile_for_gpu INTERFACE -std=c++17 -fno-gpu-rdc -Wno-cuda-compat -Wno-unused-command-line-argument -Xclang -fallow-half-arguments-and-returns)
 target_link_libraries(compile_for_gpu INTERFACE hip::device -fno-gpu-rdc -Wno-invalid-command-line-argument -Wno-unused-command-line-argument -Wno-option-ignored)
 check_cxx_compiler_flag("--cuda-host-only -fhip-lambda-host-device -x hip" HAS_HIP_LAMBDA_HOST_DEVICE)
+
 if(HAS_HIP_LAMBDA_HOST_DEVICE)
-  message(STATUS "Enable -fhip-lambda-host-device")
-  target_compile_options(compile_for_gpu INTERFACE -fhip-lambda-host-device)
+    message(STATUS "Enable -fhip-lambda-host-device")
+    target_compile_options(compile_for_gpu INTERFACE -fhip-lambda-host-device)
 endif()
 
 set_target_properties(migraphx_device PROPERTIES EXPORT_NAME device)
@@ -60,11 +63,13 @@ target_include_directories(migraphx_device PUBLIC $<BUILD_INTERFACE:${CMAKE_CURR
 target_include_directories(migraphx_device PRIVATE $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/device/include>)
 
 add_library(kernel_file_check EXCLUDE_FROM_ALL)
+
 foreach(KERNEL_FILE ${KERNEL_FILES})
     get_filename_component(KERNEL_BASE_FILE ${KERNEL_FILE} NAME_WE)
     file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/kernels/include/migraphx/kernels/${KERNEL_BASE_FILE}.cpp "#include <migraphx/kernels/${KERNEL_BASE_FILE}.hpp>\n")
     target_sources(kernel_file_check PRIVATE ${CMAKE_CURRENT_BINARY_DIR}/kernels/include/migraphx/kernels/${KERNEL_BASE_FILE}.cpp)
 endforeach()
+
 target_compile_definitions(kernel_file_check PRIVATE -DMIGRAPHX_NLOCAL=256)
 target_include_directories(kernel_file_check PRIVATE $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/kernels/include/>)
 target_link_libraries(kernel_file_check compile_for_gpu)
@@ -125,6 +130,7 @@ function(register_migraphx_gpu_ops PREFIX)
         register_op(migraphx_gpu HEADER migraphx/gpu/${OP}.hpp OPERATORS gpu::${PREFIX}${OP} INCLUDES migraphx/gpu/context.hpp)
     endforeach()
 endfunction()
+
 register_migraphx_gpu_ops(hip_
     argmax
     argmin
@@ -146,47 +152,26 @@ register_migraphx_gpu_ops(miopen_
     lrn
     pooling
 )
-register_op(migraphx_gpu 
-    HEADER migraphx/gpu/rnn_variable_seq_lens.hpp 
+register_op(migraphx_gpu
+    HEADER migraphx/gpu/rnn_variable_seq_lens.hpp
     OPERATORS gpu::hip_rnn_var_sl_shift_sequence gpu::hip_rnn_var_sl_shift_output gpu::hip_rnn_var_sl_last_output
     INCLUDES migraphx/gpu/context.hpp)
-register_op(migraphx_gpu 
-    HEADER migraphx/gpu/int8_gemm_pack.hpp 
+register_op(migraphx_gpu
+    HEADER migraphx/gpu/int8_gemm_pack.hpp
     OPERATORS gpu::hip_int8_gemm_pack_a gpu::hip_int8_gemm_pack_b
     INCLUDES migraphx/gpu/context.hpp)
-register_op(migraphx_gpu 
-    HEADER migraphx/gpu/gemm.hpp 
+register_op(migraphx_gpu
+    HEADER migraphx/gpu/gemm.hpp
     OPERATORS gpu::rocblas_gemm<op::dot> gpu::rocblas_gemm<op::quant_dot>
     INCLUDES migraphx/gpu/context.hpp)
-register_op(migraphx_gpu HEADER migraphx/gpu/convolution.hpp 
+register_op(migraphx_gpu HEADER migraphx/gpu/convolution.hpp
     OPERATORS gpu::miopen_convolution<op::convolution> gpu::miopen_convolution<op::deconvolution> gpu::miopen_convolution<op::quant_convolution>
     INCLUDES migraphx/gpu/context.hpp)
 rocm_set_soversion(migraphx_gpu ${MIGRAPHX_SO_VERSION})
 rocm_clang_tidy_check(migraphx_gpu)
 
-# look for offload bundler
-get_filename_component(CMAKE_CXX_COMPILER_PATH "${CMAKE_CXX_COMPILER}" PATH)
-if(CMAKE_CXX_COMPILER MATCHES ".*clang\\+\\+$")
-    find_program(MIGRAPHX_OFFLOADBUNDLER_BIN clang-offload-bundler
-        HINTS ${CMAKE_CXX_COMPILER_PATH}
-        PATH_SUFFIXES bin
-        PATHS /opt/rocm/llvm
-    )
-else()
-    find_program(MIGRAPHX_EXTRACT_KERNEL extractkernel
-        PATH_SUFFIXES bin
-        HINTS ${CMAKE_CXX_COMPILER_PATH}
-        PATHS
-            /opt/rocm/hip
-            /opt/rocm/hcc
-            /opt/rocm
-    )
-endif()
-
-message(STATUS "clang-offload-bundler: ${MIGRAPHX_OFFLOADBUNDLER_BIN}")
-message(STATUS "extractkernel: ${MIGRAPHX_EXTRACT_KERNEL}")
-
 set(MIGRAPHX_ENABLE_MLIR OFF CACHE BOOL "")
+
 if(MIGRAPHX_ENABLE_MLIR)
     # Find package rocMLIR
     find_package(rocMLIR 1.0.0 CONFIG REQUIRED)
@@ -195,36 +180,38 @@ if(MIGRAPHX_ENABLE_MLIR)
     target_link_libraries(migraphx_gpu PUBLIC rocMLIR::rockCompiler)
 endif()
 
-set(MIGRAPHX_USE_HIPRTC OFF CACHE BOOL "")
 if(MIGRAPHX_USE_HIPRTC)
-target_compile_definitions(migraphx_gpu PRIVATE -DMIGRAPHX_USE_HIPRTC=1)
+    message(STATUS "MIGraphX is using hipRTC")
+    target_compile_definitions(migraphx_gpu PRIVATE -DMIGRAPHX_USE_HIPRTC=1)
 else()
-# Get flags needed to compile hip
-include(TargetFlags)
-target_flags(HIP_COMPILER_FLAGS hip::device)
-# Remove cuda arch flags
-string(REGEX REPLACE --cuda-gpu-arch=[a-z0-9]+ "" HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
-string(REGEX REPLACE --offload-arch=[a-z0-9:+-]+ "" HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
-# Skip library paths since hip will incorrectly treat it as a source file
-string(APPEND HIP_COMPILER_FLAGS " ")
-foreach(_unused RANGE 2)
-    string(REGEX REPLACE " /[^ ]+\\.(a|so) " " " HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
-endforeach()
+    message(STATUS "MIGraphX is using HIP Clang")
 
-message(STATUS "Hip compiler flags: ${HIP_COMPILER_FLAGS}")
-target_compile_definitions(migraphx_gpu PRIVATE 
-    "-DMIGRAPHX_HIP_COMPILER=${CMAKE_CXX_COMPILER}" 
-    "-DMIGRAPHX_HIP_COMPILER_FLAGS=${HIP_COMPILER_FLAGS}" 
-    "-DMIGRAPHX_OFFLOADBUNDLER_BIN=${MIGRAPHX_OFFLOADBUNDLER_BIN}"
-    "-DMIGRAPHX_EXTRACT_KERNEL=${MIGRAPHX_EXTRACT_KERNEL}"
-    "-DMIGRAPHX_USE_HIPRTC=0"
-)
-if(DEFINED CMAKE_CXX_COMPILER_LAUNCHER)
-execute_process(COMMAND which ${CMAKE_CXX_COMPILER_LAUNCHER} OUTPUT_VARIABLE MIGRAPHX_HIP_COMPILER_LAUNCHER)
-string(STRIP "${MIGRAPHX_HIP_COMPILER_LAUNCHER}" MIGRAPHX_HIP_COMPILER_LAUNCHER)
-target_compile_definitions(migraphx_gpu PRIVATE "-DMIGRAPHX_HIP_COMPILER_LAUNCHER=${MIGRAPHX_HIP_COMPILER_LAUNCHER}")
-endif()
+    # Get flags needed to compile hip
+    include(TargetFlags)
+    target_flags(HIP_COMPILER_FLAGS hip::device)
+
+    # Remove cuda arch flags
+    string(REGEX REPLACE --cuda-gpu-arch=[a-z0-9]+ "" HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
+    string(REGEX REPLACE --offload-arch=[a-z0-9:+-]+ "" HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
+
+    # Skip library paths since hip will incorrectly treat it as a source file
+    string(APPEND HIP_COMPILER_FLAGS " ")
 
+    foreach(_unused RANGE 2)
+        string(REGEX REPLACE " /[^ ]+\\.(a|so) " " " HIP_COMPILER_FLAGS "${HIP_COMPILER_FLAGS}")
+    endforeach()
+
+    message(STATUS "Hip compiler flags: ${HIP_COMPILER_FLAGS}")
+    target_compile_definitions(migraphx_gpu PRIVATE
+        "-DMIGRAPHX_HIP_COMPILER=${CMAKE_CXX_COMPILER}"
+        "-DMIGRAPHX_HIP_COMPILER_FLAGS=${HIP_COMPILER_FLAGS}"
+    )
+
+    if(DEFINED CMAKE_CXX_COMPILER_LAUNCHER)
+        execute_process(COMMAND which ${CMAKE_CXX_COMPILER_LAUNCHER} OUTPUT_VARIABLE MIGRAPHX_HIP_COMPILER_LAUNCHER)
+        string(STRIP "${MIGRAPHX_HIP_COMPILER_LAUNCHER}" MIGRAPHX_HIP_COMPILER_LAUNCHER)
+        target_compile_definitions(migraphx_gpu PRIVATE "-DMIGRAPHX_HIP_COMPILER_LAUNCHER=${MIGRAPHX_HIP_COMPILER_LAUNCHER}")
+    endif()
 endif()
 
 # Check miopen find mode api
@@ -233,10 +220,9 @@ get_target_property(MIOPEN_LOCATION MIOpen LOCATION)
 check_library_exists(MIOpen "miopenHiddenSetConvolutionFindMode" "${MIOPEN_LOCATION}" HAS_FIND_MODE_API)
 check_library_exists(MIOpen "miopenFindSolutions" "${MIOPEN_LOCATION}" HAS_FIND_2_API)
 
-# TODO: Set default to HAS_FIND_2_API
-set(MIGRAPHX_USE_FIND_2_API OFF CACHE BOOL "")
+set(MIGRAPHX_USE_FIND_2_API "${HAS_FIND_2_API}" CACHE BOOL "")
 
-if(MIGRAPHX_USE_FIND_2_API) 
+if(MIGRAPHX_USE_FIND_2_API)
     target_compile_definitions(migraphx_gpu PUBLIC -DMIGRAPHX_HAS_FIND_2_API)
     message(STATUS "MIGraphx is using Find-2.0 API of MIOpen")
 else()
@@ -250,16 +236,13 @@ else()
     message(STATUS "MIOpen does not have find mode api")
 endif()
 
-# Workaround broken rocblas headers
-target_compile_definitions(migraphx_gpu PUBLIC -D__HIP_PLATFORM_HCC__=1)
 target_link_libraries(migraphx_gpu PUBLIC migraphx MIOpen roc::rocblas)
 target_link_libraries(migraphx_gpu PRIVATE migraphx_device migraphx_kernels)
 
 add_subdirectory(driver)
 
 rocm_install_targets(
-  TARGETS migraphx_gpu migraphx_device compile_for_gpu
-  INCLUDE
+    TARGETS migraphx_gpu migraphx_device compile_for_gpu
+    INCLUDE
     ${CMAKE_CURRENT_SOURCE_DIR}/include
 )
-

src/targets/gpu/compile_hip.cpp

@@ -29,10 +29,9 @@
 #include <cassert>
 #include <iostream>
 
-#if MIGRAPHX_USE_HIPRTC
+#ifdef MIGRAPHX_USE_HIPRTC
 #include <hip/hiprtc.h>
 #include <migraphx/manage_ptr.hpp>
-#include <migraphx/env.hpp>
 #else
 #include <migraphx/compile_src.hpp>
 #include <migraphx/process.hpp>
@@ -48,9 +47,10 @@ MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_GPU_OPTIMIZE);
 MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_GPU_DUMP_ASM);
 MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_GPU_DUMP_SRC);
 
-#if MIGRAPHX_USE_HIPRTC
+#ifdef MIGRAPHX_USE_HIPRTC
 
-MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_TRACE_HIPRTC)
+MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_TRACE_HIPRTC);
+MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS);
 
 std::string hiprtc_error(hiprtcResult err, const std::string& msg)
 {
@@ -143,25 +143,29 @@ struct hiprtc_program
                        options.end(),
                        std::back_inserter(c_options),
                        [](const std::string& s) { return s.c_str(); });
-        auto result = hiprtcCompileProgram(prog.get(), c_options.size(), c_options.data());
-        std::cerr << log() << std::endl;
+        auto result   = hiprtcCompileProgram(prog.get(), c_options.size(), c_options.data());
+        auto prog_log = log();
+        if(not prog_log.empty())
+        {
+            std::cerr << prog_log << std::endl;
+        }
         if(result != HIPRTC_SUCCESS)
             MIGRAPHX_HIPRTC_THROW(result, "Compilation failed.");
     }
 
-    std::string log()
+    std::string log() const
     {
         std::size_t n = 0;
         MIGRAPHX_HIPRTC(hiprtcGetProgramLogSize(prog.get(), &n));
-        if(n < 2)
+        if(n == 0)
             return {};
-        std::vector<char> buffer(n);
+        std::string buffer(n, '\0');
         MIGRAPHX_HIPRTC(hiprtcGetProgramLog(prog.get(), buffer.data()));
-        assert(buffer.back() == 0);
-        return {buffer.begin(), buffer.end() - 1};
+        assert(buffer.back() != 0);
+        return buffer;
     }
 
-    std::vector<char> get_code_obj()
+    std::vector<char> get_code_obj() const
     {
         std::size_t n = 0;
         MIGRAPHX_HIPRTC(hiprtcGetCodeSize(prog.get(), &n));
@@ -176,6 +180,17 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
 {
     hiprtc_program prog(srcs);
     auto options = split_string(params, ' ');
+    options.push_back("-DMIGRAPHX_USE_HIPRTC=1");
+    // remove following three compilation flags for HIPRTC once fixes from hipRTC are available in
+    if(enabled(MIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS{}))
+    {
+        options.push_back("-DMIGRAPHX_HAS_DPP=0");
+        options.push_back("-DMIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS=1");
+        options.push_back("-Wno-reserved-identifier");
+        options.push_back("-Wno-gnu-line-marker");
+        options.push_back("-Wno-old-style-cast");
+    }
+
     if(enabled(MIGRAPHX_GPU_DEBUG{}))
         options.push_back("-DMIGRAPHX_DEBUG");
     if(std::none_of(options.begin(), options.end(), [](const std::string& s) {
@@ -183,7 +198,7 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
        }))
         options.push_back("-std=c++17");
     options.push_back("-fno-gpu-rdc");
-    options.push_back(" -O" + string_value_of(MIGRAPHX_GPU_OPTIMIZE{}, "3"));
+    options.push_back("-O" + string_value_of(MIGRAPHX_GPU_OPTIMIZE{}, "3"));
     options.push_back("-Wno-cuda-compat");
     options.push_back("--offload-arch=" + arch);
     prog.compile(options);
@@ -192,12 +207,6 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
 
 #else // MIGRAPHX_USE_HIPRTC
 
-bool is_hcc_compiler()
-{
-    static const auto result = ends_with(MIGRAPHX_STRINGIZE(MIGRAPHX_HIP_COMPILER), "hcc");
-    return result;
-}
-
 bool is_hip_clang_compiler()
 {
     static const auto result = ends_with(MIGRAPHX_STRINGIZE(MIGRAPHX_HIP_COMPILER), "clang++");
@@ -221,7 +230,7 @@ std::vector<std::vector<char>>
 compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std::string& arch)
 {
     assert(not srcs.empty());
-    if(not is_hcc_compiler() and not is_hip_clang_compiler())
+    if(not is_hip_clang_compiler())
         MIGRAPHX_THROW("Unknown hip compiler: " +
                        std::string(MIGRAPHX_STRINGIZE(MIGRAPHX_HIP_COMPILER)));
 
@@ -231,16 +240,9 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
     if(enabled(MIGRAPHX_GPU_DEBUG_SYM{}))
         params += " -g";
     params += " -c";
-    if(is_hcc_compiler())
-    {
-        params += " -amdgpu-target=" + arch;
-    }
-    else if(is_hip_clang_compiler())
-    {
-        params += " --offload-arch=" + arch;
-        params += " --cuda-device-only";
-        params += " -O" + string_value_of(MIGRAPHX_GPU_OPTIMIZE{}, "3") + " ";
-    }
+    params += " --offload-arch=" + arch;
+    params += " --cuda-device-only";
+    params += " -O" + string_value_of(MIGRAPHX_GPU_OPTIMIZE{}, "3") + " ";
 
     if(enabled(MIGRAPHX_GPU_DEBUG{}))
         params += " -DMIGRAPHX_DEBUG";
@@ -255,24 +257,6 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
     if(has_compiler_launcher())
         compiler.launcher = MIGRAPHX_STRINGIZE(MIGRAPHX_HIP_COMPILER_LAUNCHER);
 #endif
-
-    if(is_hcc_compiler())
-        compiler.process = [&](const fs::path& obj_path) -> fs::path {
-            process{MIGRAPHX_STRINGIZE(MIGRAPHX_EXTRACT_KERNEL) + std::string{" -i "} +
-                    obj_path.string()}
-                .cwd(obj_path.parent_path());
-            for(const auto& entry : fs::directory_iterator{obj_path.parent_path()})
-            {
-                const auto& hsaco_path = entry.path();
-                if(not fs::is_regular_file(hsaco_path))
-                    continue;
-                if(hsaco_path.extension() != ".hsaco")
-                    continue;
-                return hsaco_path;
-            }
-            MIGRAPHX_THROW("Missing hsaco");
-        };
-
     if(enabled(MIGRAPHX_GPU_DUMP_SRC{}))
     {
         for(const auto& src : srcs)
@@ -292,6 +276,8 @@ compile_hip_src(const std::vector<src_file>& srcs, std::string params, const std
     return {compiler.compile(srcs)};
 }
 
+#endif // MIGRAPHX_USE_HIPRTC
+
 std::string enum_params(std::size_t count, std::string param)
 {
     std::vector<std::string> items(count);
@@ -299,8 +285,6 @@ std::string enum_params(std::size_t count, std::string param)
     return join_strings(items, ",");
 }
 
-#endif // MIGRAPHX_USE_HIPRTC
-
 } // namespace gpu
 } // namespace MIGRAPHX_INLINE_NS
 } // namespace migraphx

src/targets/gpu/compile_hip_code_object.cpp

@@ -29,7 +29,6 @@
 #include <migraphx/context.hpp>
 #include <migraphx_kernels.hpp>
 #include <migraphx/stringutils.hpp>
-#include <hip/hip_runtime_api.h>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
@@ -80,6 +79,7 @@ std::string generate_args_hpp(const std::vector<shape>& inputs)
 
 #include <migraphx/kernels/args.hpp>
 #include <migraphx/kernels/tensor_view.hpp>
+#include <migraphx/kernels/types.hpp>
 
 namespace migraphx {
 

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

@@ -112,14 +112,8 @@ inline auto gs_launch(hipStream_t stream, index_int n, index_int local = 1024)
 #ifdef MIGRAPHX_USE_CLANG_TIDY
 #define MIGRAPHX_DEVICE_SHARED
 #else
-// Workaround hcc's broken tile_static macro
-#ifdef tile_static
-#undef tile_static
-#define MIGRAPHX_DEVICE_SHARED __attribute__((tile_static))
-#else
 #define MIGRAPHX_DEVICE_SHARED __shared__
 #endif
-#endif
 
 } // namespace device
 } // namespace gpu

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

@@ -36,6 +36,7 @@ namespace gpu {
 namespace device {
 
 #ifdef MIGRAPHX_NO_DPP
+
 template <index_int N,
           class Op,
           class T,
@@ -62,6 +63,7 @@ __device__ auto block_reduce(index idx, Op op, T init, ForStride fs, F f)
     }
     return buffer[0];
 }
+
 #else
 constexpr unsigned int dpp_row_shr(unsigned int x) { return 0x110u | x; }
 
@@ -96,11 +98,7 @@ __device__ T dpp_mov(T& x)
     input.data = x;
     for(index_int i = 0; i < n; i++)
     {
-#if defined(__HCC__)
-        output.reg[i] = __llvm_amdgcn_move_dpp(input.reg[i], DppCtrl, RowMask, BankMask, BoundCtrl);
-#else
         output.reg[i] = __hip_move_dpp(input.reg[i], DppCtrl, RowMask, BankMask, BoundCtrl);
-#endif
     }
     return output.data;
 }
@@ -310,4 +308,4 @@ void reduce(hipStream_t stream,
 } // namespace MIGRAPHX_INLINE_NS
 } // namespace migraphx
 
-#endif
+#endif // MIGRAPHX_NO_DPP

src/targets/gpu/fuse_ops.cpp

@@ -553,11 +553,13 @@ struct find_gemm_pointwise
 {
     auto matcher() const
     {
-        return precompile_name("pointwise")(
+        auto gemm_op   = match::name("gpu::gemm")(match::nargs(3), match::used_once()).bind("gemm");
+        auto binary_op = match::all_of(
             match::nargs(3),
             match::either_arg(0, 1)(
-                match::any_of(match::standard_shape(), match::is_constant()).bind("c"),
-                match::name("gpu::gemm")(match::nargs(3), match::used_once()).bind("gemm")));
+                match::any_of(match::standard_shape(), match::is_constant()).bind("c"), gemm_op));
+        auto unary_op = match::all_of(match::nargs(2), match::arg(0)(gemm_op));
+        return precompile_name("pointwise")(match::any_of(binary_op, unary_op));
     }
 
     // TODO: Move to matcher.hpp
@@ -589,61 +591,84 @@ struct find_gemm_pointwise
         return match::name("@return")(match::args(match::any_of(add, mul_add, add_mul)));
     }
 
+    static auto match_mul(const std::string& input)
+    {
+        auto mul = match_mul_const(match_param(input), "alpha");
+        return match::name("@return")(match::args(mul));
+    }
+
     static float get_float(instruction_ref ins) { return ins->get_literal().at<float>(); }
 
     template <class Gemm>
     static bool update_gemm(Gemm& gemm, module_ref pm, unsigned input)
     {
         auto names = pm->get_parameter_names();
-        if(names.size() != 2)
-            return false;
         std::sort(names.begin(), names.end());
-        unsigned output = input == 0 ? 1 : 0;
-        auto mr         = match::match_instruction(
-            *pm, std::prev(pm->end()), match_add(names[input], names[output]));
-        if(mr.result == pm->end())
-            return false;
-        if(contains(mr.instructions, "alpha_mul"))
+        if(names.size() == 1)
+        {
+            auto mr = match::match_instruction(*pm, std::prev(pm->end()), match_mul(names[input]));
+            if(mr.result == pm->end())
+                return false;
             gemm.alpha *= get_float(mr.instructions["alpha"]);
-        else if(contains(mr.instructions, "beta_mul"))
-            gemm.beta *= get_float(mr.instructions["beta"]);
-        else if(contains(mr.instructions, "gamma_mul"))
+            return true;
+        }
+        else if(names.size() == 2)
         {
-            gemm.alpha *= get_float(mr.instructions["gamma"]);
-            gemm.beta *= get_float(mr.instructions["gamma"]);
+            unsigned output = input == 0 ? 1 : 0;
+            auto mr         = match::match_instruction(
+                *pm, std::prev(pm->end()), match_add(names[input], names[output]));
+            if(mr.result == pm->end())
+                return false;
+            if(contains(mr.instructions, "alpha_mul"))
+                gemm.alpha *= get_float(mr.instructions["alpha"]);
+            else if(contains(mr.instructions, "beta_mul"))
+                gemm.beta *= get_float(mr.instructions["beta"]);
+            else if(contains(mr.instructions, "gamma_mul"))
+            {
+                gemm.alpha *= get_float(mr.instructions["gamma"]);
+                gemm.beta *= get_float(mr.instructions["gamma"]);
+            }
+            return true;
+        }
+        else
+        {
+            return false;
         }
-        return true;
     }
 
     void apply(module& m, const match::matcher_result& r) const
     {
         auto ins      = r.result;
         auto gemm_ins = r.instructions["gemm"];
-        auto c_ins    = r.instructions["c"];
 
         auto gemm = any_cast<rocblas_gemm<op::dot>>(gemm_ins->get_operator());
 
         // Already fused gemm
         if(not float_equal(gemm.beta, 0))
             return;
-        gemm.beta = 1;
+        if(ins->inputs().size() == 3)
+            gemm.beta = 1;
 
         if(not update_gemm(
                gemm, ins->module_inputs().front(), ins->inputs().front() == gemm_ins ? 0 : 1))
             return;
 
-        // const-fold input if not standard shape since rocblas can't handle it
-        if(not c_ins->get_shape().standard())
-        {
-            auto c = make_op("contiguous");
-            auto l = c.compute(c.compute_shape({c_ins->get_shape()}), {c_ins->eval()});
-            c_ins  = m.add_literal(l.get_shape(), l.data());
-        }
-
         auto inputs = gemm_ins->inputs();
         inputs.pop_back();
 
-        inputs.push_back(c_ins);
+        if(ins->inputs().size() == 3)
+        {
+            auto c_ins = r.instructions["c"];
+            // const-fold input if not standard shape since rocblas can't handle it
+            if(not c_ins->get_shape().standard())
+            {
+                auto c = make_op("contiguous");
+                auto l = c.compute(c.compute_shape({c_ins->get_shape()}), {c_ins->eval()});
+                c_ins  = m.add_literal(l.get_shape(), l.data());
+            }
+            inputs.push_back(c_ins);
+        }
+
         inputs.push_back(ins->inputs().back());
 
         m.replace_instruction(ins, gemm, inputs);

src/targets/gpu/include/migraphx/gpu/context.hpp

@@ -30,6 +30,7 @@
 #include <migraphx/gpu/hip.hpp>
 #include <migraphx/env.hpp>
 #include <migraphx/config.hpp>
+#include <migraphx/gpu/device_name.hpp>
 #include <unordered_map>
 #include <memory>
 
@@ -215,6 +216,10 @@ struct context
         return *current_device;
     }
 
+    bool get_exhaustive_tune_flag() const { return exhaustive_tune; }
+
+    void set_exhaustive_tune_flag(bool t) { exhaustive_tune = t; }
+
     hip_device::stream& get_stream() { return get_current_device().get_stream(); }
     hip_device::stream& get_stream(std::size_t n) { return get_current_device().get_stream(n); }
 
@@ -273,7 +278,8 @@ struct context
         auto v_streams        = v.at("streams");
         std::size_t n_streams = v_streams.without_key().to<std::size_t>();
 
-        this->current_device = std::make_shared<hip_device>(0, n_streams);
+        auto device          = get_device_id();
+        this->current_device = std::make_shared<hip_device>(device, n_streams);
     }
 
     void wait_for(any_ptr queue)
@@ -336,7 +342,8 @@ struct context
     // TODO: Make this a vector to support multiple devices
     std::shared_ptr<hip_device> current_device;
     std::vector<shared<hip_event_ptr>> events;
-    bool measure_perf = false;
+    bool exhaustive_tune = false;
+    bool measure_perf    = false;
     // for event perf timing
     shared<hip_event_ptr> start_event = nullptr;
     shared<hip_event_ptr> stop_event  = nullptr;

src/targets/gpu/include/migraphx/gpu/convolution.hpp

@@ -175,8 +175,9 @@ struct miopen_convolution
 
             auto* miopen_stream_handle = ctx.get_stream().get_miopen();
 
-            solution_ptr = find_solution(miopen_stream_handle, conv_problem.get());
-            auto status  = miopenGetSolutionWorkspaceSize(solution_ptr.get(), &workspace_size);
+            solution_ptr = find_solution(
+                miopen_stream_handle, conv_problem.get(), ctx.get_exhaustive_tune_flag());
+            auto status = miopenGetSolutionWorkspaceSize(solution_ptr.get(), &workspace_size);
             if(status != miopenStatusSuccess)
                 MIGRAPHX_THROW("MIOpen" + op.name() + " : failed to get solution's workspace size");
 
@@ -233,7 +234,7 @@ struct miopen_convolution
                                                        &perf,
                                                        workspace.implicit(),
                                                        workspace_size,
-                                                       false);
+                                                       ctx.get_exhaustive_tune_flag());
         if(status != miopenStatusSuccess)
             MIGRAPHX_THROW("MIOpen " + op.name() + " : find convolution failed");
         algo = perf.fwd_algo;

src/targets/gpu/include/migraphx/gpu/miopen.hpp

@@ -75,12 +75,19 @@ using miopen_find_options = MIGRAPHX_MANAGE_PTR(miopenFindOptions_t, miopenDestr
 using miopen_problem      = MIGRAPHX_MANAGE_PTR(miopenProblem_t, miopenDestroyProblem);
 using miopen_solution     = MIGRAPHX_MANAGE_PTR(miopenSolution_t, miopenDestroySolution);
 
-inline miopen_solution find_solution(miopenHandle_t handle, miopenProblem_t problem)
+inline miopen_solution
+find_solution(miopenHandle_t handle, miopenProblem_t problem, bool tune = false)
 {
     miopenSolution_t solution;
-    size_t found = 0;
-    auto status  = miopenFindSolutions(handle, problem, nullptr, &solution, &found, 1);
-    auto result  = miopen_solution{solution};
+    size_t found           = 0;
+    miopen_find_options fo = nullptr;
+    if(tune)
+    {
+        fo = make_obj<miopen_find_options>(&miopenCreateFindOptions);
+        miopenSetFindOptionTuning(fo.get(), 1);
+    }
+    auto status = miopenFindSolutions(handle, problem, fo.get(), &solution, &found, 1);
+    auto result = miopen_solution{solution};
     if(status != miopenStatusSuccess or found == 0)
         MIGRAPHX_THROW("MIOpen miopenFindSolutions failed");
     return result;

src/targets/gpu/include/migraphx/gpu/prefuse_ops.hpp

@@ -30,14 +30,14 @@
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
 
-struct module;
+struct module_pass_manager;
 
 namespace gpu {
 
 struct prefuse_ops
 {
     std::string name() const { return "gpu::prefuse_ops"; }
-    void apply(module& m) const;
+    void apply(module_pass_manager& mpm) const;
 };
 
 } // namespace gpu

src/targets/gpu/jit/reduce.cpp

@@ -118,17 +118,17 @@ struct reduce_compiler : compiler<reduce_compiler>
         options.virtual_inputs = reduce_dims(inputs);
         auto faxis             = find_fast_axis({options.virtual_inputs.front()});
         vectorize vec{};
-        // Vectorize if the axis is a reduction axis
-        if(options.virtual_inputs.back().lens()[faxis] == 1)
-        {
-            vec = vectorize::elements(ctx, faxis, options.virtual_inputs);
-        }
-        auto relements = get_reduce_elements(options.virtual_inputs) / vec.size;
         auto nelements = options.virtual_inputs.back().elements();
         auto algo      = v.get("algo", get_reduce_algo(options.virtual_inputs));
         if(algo == "block")
         {
+            // Vectorize if the axis is a reduction axis
+            if(options.virtual_inputs.back().lens()[faxis] == 1)
+                vec = vectorize::elements(ctx, faxis, options.virtual_inputs);
+            auto relements  = get_reduce_elements(options.virtual_inputs) / vec.size;
             auto block_size = compute_block_size(relements, 256);
+            if(relements > block_size * 256)
+                algo = "block_large";
             options.set_launch_params(
                 v, compute_global_for(ctx, nelements * block_size, 256), block_size);
         }
@@ -156,16 +156,25 @@ struct reduce_compiler : compiler<reduce_compiler>
 
     compiler_replace compile(context& ctx, instruction_ref ins, const operation& op) const
     {
-        value v              = value::object{};
-        auto reduce_elements = get_reduce_elements(ins->inputs());
+        value v = value::object{};
         if(op.name() == "reduce_sum")
         {
             v["reduction"] = "op::sum{}";
         }
         else if(op.name() == "reduce_mean")
         {
-            v["reduction"] = "op::sum{}";
-            v["write"]     = "op::mean{" + std::to_string(reduce_elements) + "}";
+            auto reduce_elements = get_reduce_elements(ins->inputs());
+            auto reduce_type     = ins->inputs().front()->get_shape().type();
+            v["reduction"]       = "op::sum{}";
+            std::string mean     = "op::mean<" + std::to_string(reduce_elements) + ">{}";
+            // Use float accumulator when reduction size is too large for half
+            if(reduce_type == shape::half_type and reduce_elements > 16384)
+                v["read"] = "compose(" + mean + ", op::convert_to<float>{})";
+            else if(contains({shape::float_type, shape::half_type, shape::double_type},
+                             reduce_type))
+                v["read"] = mean;
+            else
+                v["write"] = mean;
         }
         else if(op.name() == "reduce_max")
         {

src/targets/gpu/kernels/include/migraphx/kernels/array.hpp

@@ -105,7 +105,7 @@ constexpr auto array_for_each(T& x, Ts&... xs)
             }
             else
             {
-                using vec_type = std::remove_reference_t<decltype(array2vec(x))>;
+                using vec_type = remove_reference_t<decltype(array2vec(x))>;
                 f(array2vec(x), __builtin_convertvector(array2vec(xs), vec_type)...);
             }
         }

src/targets/gpu/kernels/include/migraphx/kernels/debug.hpp

@@ -178,5 +178,9 @@ MIGRAPHX_HIP_NORETURN inline __host__ __device__ void assert_fail(const source_l
 #define MIGRAPHX_WARN(...)
 #endif
 
+#define MIGRAPHX_STATIC_ASSERT_FOR(...) \
+    static_assert(__VA_ARGS__);         \
+    if constexpr(__VA_ARGS__)
+
 } // namespace migraphx
 #endif // MIGRAPHX_GUARD_KERNELS_DEBUG_HPP

src/targets/gpu/kernels/include/migraphx/kernels/dpp.hpp

@@ -72,7 +72,7 @@ __device__ T dpp_mov(T& x)
     }
     return output.data;
 }
-#endif
+#endif // MIGRAPHX_HAS_DPP
 
 } // namespace migraphx
 #endif // MIGRAPHX_GUARD_KERNELS_DPP_HPP

src/targets/gpu/kernels/include/migraphx/kernels/functional.hpp

@@ -187,6 +187,14 @@ constexpr auto fold(F f)
     return [=](auto&&... xs) { return fold_impl(f, static_cast<decltype(xs)&&>(xs)...); };
 }
 
+template <class... Fs>
+constexpr auto compose(Fs... fs)
+{
+    return fold([](auto f, auto g) {
+        return [=](auto&&... xs) { return f(g(static_cast<decltype(xs)>(xs)...)); };
+    })(fs...);
+}
+
 template <class... Ts>
 constexpr auto pack(Ts... xs)
 {