Merge pull request #16 from ROCmSoftwarePlatform/develop

Merge develop into master

.clang-tidy

+CheckOptions:
+  - key: bugprone-reserved-identifier.AllowedIdentifiers
+    value: '__HIP_PLATFORM_HCC__;__HIP_ROCclr__'

CMakeLists.txt

-cmake_minimum_required(VERSION 2.8.3)
-project(modular_convolution)
+cmake_minimum_required(VERSION 3.5)
+project(composable_kernel)
 
 list(APPEND CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake")
 
-include(TargetFlags)
-include(AddKernels)
+include(CheckCXXCompilerFlag)
 
 ## C++
 enable_language(CXX)
@@ -39,4 +38,161 @@ link_libraries(${OpenMP_pthread_LIBRARY})
 find_package(HIP REQUIRED)
 message(STATUS "Build with HIP ${hip_VERSION}")
 
+## half
+#find_path(HALF_INCLUDE_DIR half.hpp)
+message("HALF_INCLUDE_DIR: ${HALF_INCLUDE_DIR}")
+
+# CMAKE_CXX_FLAGS
+SET(BUILD_DEV ON CACHE BOOL "BUILD_DEV")
+if(BUILD_DEV)
+    string(APPEND CMAKE_CXX_FLAGS " -Werror -Weverything")
+endif()
+message("CMAKE_CXX_FLAGS: ${CMAKE_CXX_FLAGS}")
+
+## tidy
+include(EnableCompilerWarnings)
+set(MIOPEN_TIDY_ERRORS ERRORS * -readability-inconsistent-declaration-parameter-name)
+if(CMAKE_CXX_COMPILER MATCHES ".*hcc" OR CMAKE_CXX_COMPILER MATCHES ".*clang\\+\\+")
+    set(MIOPEN_TIDY_CHECKS -modernize-use-override -readability-non-const-parameter)
+# Enable tidy on hip
+elseif(MIOPEN_BACKEND STREQUAL "HIP" OR MIOPEN_BACKEND STREQUAL "HIPNOGPU")
+    set(MIOPEN_TIDY_ERRORS ALL)
+endif()
+
+include(ClangTidy)
+enable_clang_tidy(
+    CHECKS
+        *
+        -abseil-*
+        -android-cloexec-fopen
+        # Yea we shouldn't be using rand()
+        -cert-msc30-c
+        -bugprone-exception-escape
+        -bugprone-macro-parentheses
+        -cert-env33-c
+        -cert-msc32-c
+        -cert-msc50-cpp
+        -cert-msc51-cpp
+        -cert-dcl37-c
+        -cert-dcl51-cpp
+        -clang-analyzer-alpha.core.CastToStruct
+        -clang-analyzer-optin.performance.Padding
+        -clang-diagnostic-deprecated-declarations
+        -clang-diagnostic-extern-c-compat
+        -clang-diagnostic-unused-command-line-argument
+        -cppcoreguidelines-avoid-c-arrays
+        -cppcoreguidelines-avoid-magic-numbers
+        -cppcoreguidelines-explicit-virtual-functions
+        -cppcoreguidelines-init-variables
+        -cppcoreguidelines-macro-usage
+        -cppcoreguidelines-non-private-member-variables-in-classes
+        -cppcoreguidelines-pro-bounds-array-to-pointer-decay
+        -cppcoreguidelines-pro-bounds-constant-array-index
+        -cppcoreguidelines-pro-bounds-pointer-arithmetic
+        -cppcoreguidelines-pro-type-member-init
+        -cppcoreguidelines-pro-type-reinterpret-cast
+        -cppcoreguidelines-pro-type-union-access
+        -cppcoreguidelines-pro-type-vararg
+        -cppcoreguidelines-special-member-functions
+        -fuchsia-*
+        -google-explicit-constructor
+        -google-readability-braces-around-statements
+        -google-readability-todo
+        -google-runtime-int
+        -google-runtime-references
+        -hicpp-vararg
+        -hicpp-braces-around-statements
+        -hicpp-explicit-conversions
+        -hicpp-named-parameter
+        -hicpp-no-array-decay
+        # We really shouldn't use bitwise operators with signed integers, but
+        # opencl leaves us no choice
+        -hicpp-avoid-c-arrays
+        -hicpp-signed-bitwise
+        -hicpp-special-member-functions
+        -hicpp-uppercase-literal-suffix
+        -hicpp-use-auto
+        -hicpp-use-equals-default
+        -hicpp-use-override
+        -llvm-header-guard
+        -llvm-include-order
+        #-llvmlibc-*
+        -llvmlibc-restrict-system-libc-headers
+        -llvmlibc-callee-namespace
+        -llvmlibc-implementation-in-namespace
+        -llvm-else-after-return
+        -llvm-qualified-auto
+        -misc-misplaced-const
+        -misc-non-private-member-variables-in-classes
+        -misc-no-recursion
+        -modernize-avoid-bind
+        -modernize-avoid-c-arrays
+        -modernize-pass-by-value
+        -modernize-use-auto
+        -modernize-use-default-member-init
+        -modernize-use-equals-default
+        -modernize-use-trailing-return-type
+        -modernize-use-transparent-functors
+        -performance-unnecessary-value-param
+        -readability-braces-around-statements
+        -readability-else-after-return
+        # we are not ready to use it, but very useful
+        -readability-function-cognitive-complexity
+        -readability-isolate-declaration
+        -readability-magic-numbers
+        -readability-named-parameter
+        -readability-uppercase-literal-suffix
+        -readability-convert-member-functions-to-static
+        -readability-qualified-auto
+        -readability-redundant-string-init
+        # too many narrowing conversions in our code
+        -bugprone-narrowing-conversions
+        -cppcoreguidelines-narrowing-conversions
+        -altera-struct-pack-align
+        -cppcoreguidelines-prefer-member-initializer
+
+        ${MIOPEN_TIDY_CHECKS}
+        ${MIOPEN_TIDY_ERRORS}
+    HEADER_FILTER
+        "\.hpp$"
+    EXTRA_ARGS
+        -DMIOPEN_USE_CLANG_TIDY
+)
+
+include(CppCheck)
+enable_cppcheck(
+    CHECKS
+        warning
+        style
+        performance
+        portability
+    SUPPRESS
+        ConfigurationNotChecked
+        constStatement
+        duplicateCondition
+        noExplicitConstructor
+        passedByValue
+        preprocessorErrorDirective
+        shadowVariable
+        unusedFunction
+        unusedPrivateFunction
+        unusedStructMember
+        unmatchedSuppression
+    FORCE
+    SOURCES
+        host/host_tensor/src
+        host/driver_offline/src
+        composable_kernel/src/kernel_wrapper
+    INCLUDE
+        host/host_tensor/include
+        host/solver/include
+        host/driver_offline/include
+        composable_kernel/include/*
+        ${CMAKE_CURRENT_SOURCE_DIR}/include
+        ${CMAKE_CURRENT_BINARY_DIR}/include
+    DEFINE
+        CPPCHECK=1
+        __linux__=1
+)
+
 add_subdirectory(host)

README.md

@@ -78,7 +78,7 @@ InLeftPads size 2, {1, 1, }
 InRightPads size 2, {1, 1, }
 ConvStrides size 2, {2, 2, }
 ConvDilations size 2, {1, 1, }
-device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw
+device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw
 a_k0_m_k1_grid_desc{216, 256, 8}
 b_k0_n_k1_grid_desc{216, 165888, 8}
 c_m_n_grid_desc{ 256, 165888}
@@ -100,7 +100,7 @@ InLeftPads size 2, {1, 1, }
 InRightPads size 2, {1, 1, }
 ConvStrides size 2, {1, 1, }
 ConvDilations size 2, {1, 1, }
-device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw
+device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw
 a_k0_m_k1_grid_desc{288, 1024, 8}
 b_k0_n_k1_grid_desc{288, 50176, 8}
 c_m_n_grid_desc{ 1024, 50176}
@@ -122,7 +122,7 @@ InLeftPads size 2, {1, 1, }
 InRightPads size 2, {1, 1, }
 ConvStrides size 2, {2, 2, }
 ConvDilations size 2, {1, 1, }
-device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk
+device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk
 a_k0_m_k1_grid_desc{216, 165888, 8}
 b_k0_n_k1_grid_desc{216, 256, 8}
 c_m_n_grid_desc{ 165888, 256}
@@ -144,7 +144,7 @@ InLeftPads size 2, {1, 1, }
 InRightPads size 2, {1, 1, }
 ConvStrides size 2, {1, 1, }
 ConvDilations size 2, {1, 1, }
-device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk
+device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk
 a_k0_m_k1_grid_desc{288, 50176, 8}
 b_k0_n_k1_grid_desc{288, 1024, 8}
 c_m_n_grid_desc{ 50176, 1024}
@@ -166,7 +166,7 @@ InLeftPads size 2, {1, 1, }
 InRightPads size 2, {1, 1, }
 ConvStrides size 2, {1, 1, }
 ConvDilations size 2, {1, 1, }
-device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk
+device_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk
 a_k0_m_k1_grid_desc{288, 50176, 8}
 b_k0_n_k1_grid_desc{288, 1024, 8}
 c_m_n_grid_desc{ 50176, 1024}

cmake/AddKernels.cmake

-
-function(add_kernels SRC_DIR KERNEL_FILES)
-    set(INIT_KERNELS_LIST)
-    set(KERNELS_DECLS)
-    foreach(KERNEL_FILE ${KERNEL_FILES})
-        if("${CMAKE_VERSION}" VERSION_LESS 3.0)
-            configure_file(${KERNEL_FILE} ${KERNEL_FILE}.delete)
-        else()
-            set_property(DIRECTORY APPEND PROPERTY CMAKE_CONFIGURE_DEPENDS ${KERNEL_FILE})
-        endif()
-        get_filename_component(BASE_NAME ${KERNEL_FILE} NAME_WE)
-        string(TOUPPER "${BASE_NAME}" KEY_NAME)
-        string(MAKE_C_IDENTIFIER "${KEY_NAME}" VAR_NAME)
-	string(APPEND KERNELS_DECLS "extern const size_t APP_KERNEL_${VAR_NAME}_SIZE;\n")
-	string(APPEND KERNELS_DECLS "extern const unsigned char APP_KERNEL_${VAR_NAME}[];\n")
-	list(APPEND INIT_KERNELS_LIST "    { \"${KEY_NAME}\", std::string(reinterpret_cast<const char*>(APP_KERNEL_${VAR_NAME}), APP_KERNEL_${VAR_NAME}_SIZE) }")
-    endforeach()
-    string(REPLACE ";" ",\n" INIT_KERNELS "${INIT_KERNELS_LIST}")
-    configure_file(${SRC_DIR}/kernel.cpp.in ${PROJECT_BINARY_DIR}/kernel.cpp)
-endfunction()
-
-function(add_kernel_includes SRC_DIR KERNEL_FILES)
-    set(INIT_KERNELS_LIST)
-    foreach(KERNEL_FILE ${KERNEL_FILES})
-        if("${CMAKE_VERSION}" VERSION_LESS 3.0)
-            configure_file(${KERNEL_FILE} ${KERNEL_FILE}.delete)
-        else()
-            set_property(DIRECTORY APPEND PROPERTY CMAKE_CONFIGURE_DEPENDS ${KERNEL_FILE})
-        endif()
-        get_filename_component(BASE_NAME ${KERNEL_FILE} NAME_WE)
-        get_filename_component(FILE_NAME ${KERNEL_FILE} NAME)
-        string(TOUPPER "${BASE_NAME}" KEY_NAME)
-        string(MAKE_C_IDENTIFIER "${KEY_NAME}" VAR_NAME)
-        list(APPEND INIT_KERNELS_LIST "    { \"${FILE_NAME}\", std::string(reinterpret_cast<const char*>(${VAR_NAME}), ${VAR_NAME}_SIZE) }")
-    endforeach()
-    string(REPLACE ";" ",\n" INIT_KERNELS "${INIT_KERNELS_LIST}")
-    configure_file(${SRC_DIR}/kernel_includes.cpp.in ${PROJECT_BINARY_DIR}/kernel_includes.cpp)
-endfunction()
-
-

host/online_compile/addkernels/CMakeLists.txt → cmake/Analyzers.cmake

@@ -24,7 +24,11 @@
 # 
 ################################################################################
 
-set(ADD_KERNELS_SOURCE include_inliner.cpp addkernels.cpp)
+if(NOT TARGET analyze)
+    add_custom_target(analyze)
+endif()
 
-add_executable(addkernels EXCLUDE_FROM_ALL ${ADD_KERNELS_SOURCE})
+function(mark_as_analyzer)
+    add_dependencies(analyze ${ARGN})
+endfunction()
 

cmake/ClangTidy.cmake

+################################################################################
+#
+# MIT License
+#
+# Copyright (c) 2017 Advanced Micro Devices, Inc.
+#
+# 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(CMakeParseArguments)
+include(Analyzers)
+
+get_filename_component(CLANG_TIDY_EXE_HINT "${CMAKE_CXX_COMPILER}" PATH)
+
+find_program(CLANG_TIDY_EXE
+    NAMES
+        clang-tidy
+        clang-tidy-5.0
+        clang-tidy-4.0
+        clang-tidy-3.9
+        clang-tidy-3.8
+        clang-tidy-3.7
+        clang-tidy-3.6
+        clang-tidy-3.5
+    HINTS
+        ${CLANG_TIDY_EXE_HINT}
+    PATH_SUFFIXES
+        compiler/bin
+    PATHS
+        /opt/rocm/llvm/bin
+        /opt/rocm/hcc
+        /usr/local/opt/llvm/bin
+)
+
+function(find_clang_tidy_version VAR)
+    execute_process(COMMAND ${CLANG_TIDY_EXE} -version OUTPUT_VARIABLE VERSION_OUTPUT)
+    separate_arguments(VERSION_OUTPUT_LIST UNIX_COMMAND "${VERSION_OUTPUT}")
+    list(FIND VERSION_OUTPUT_LIST "version" VERSION_INDEX)
+    if(VERSION_INDEX GREATER 0)
+        math(EXPR VERSION_INDEX "${VERSION_INDEX} + 1")
+        list(GET VERSION_OUTPUT_LIST ${VERSION_INDEX} VERSION)
+        set(${VAR} ${VERSION} PARENT_SCOPE)
+    else()
+        set(${VAR} "0.0" PARENT_SCOPE)
+    endif()
+
+endfunction()
+
+if( NOT CLANG_TIDY_EXE )
+    message( STATUS "Clang tidy not found" )
+    set(CLANG_TIDY_VERSION "0.0")
+else()
+    find_clang_tidy_version(CLANG_TIDY_VERSION)
+    message( STATUS "Clang tidy found: ${CLANG_TIDY_VERSION}")
+endif()
+
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+set(CLANG_TIDY_FIXIT_DIR ${CMAKE_BINARY_DIR}/fixits)
+file(MAKE_DIRECTORY ${CLANG_TIDY_FIXIT_DIR})
+set_property(DIRECTORY APPEND PROPERTY ADDITIONAL_MAKE_CLEAN_FILES ${CLANG_TIDY_FIXIT_DIR})
+
+macro(enable_clang_tidy)
+    set(options ANALYZE_TEMPORARY_DTORS ALL)
+    set(oneValueArgs HEADER_FILTER)
+    set(multiValueArgs CHECKS ERRORS EXTRA_ARGS)
+
+    cmake_parse_arguments(PARSE "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
+    string(REPLACE ";" "," CLANG_TIDY_CHECKS "${PARSE_CHECKS}")
+    string(REPLACE ";" "," CLANG_TIDY_ERRORS "${PARSE_ERRORS}")
+    set(CLANG_TIDY_EXTRA_ARGS)
+    foreach(ARG ${PARSE_EXTRA_ARGS})
+        list(APPEND CLANG_TIDY_EXTRA_ARGS "-extra-arg=${ARG}")
+    endforeach()
+
+    set(CLANG_TIDY_ALL)
+    if(PARSE_ALL)
+        set(CLANG_TIDY_ALL ALL)
+    endif()
+
+    message(STATUS "Clang tidy checks: ${CLANG_TIDY_CHECKS}")
+
+    if (${PARSE_ANALYZE_TEMPORARY_DTORS})
+        set(CLANG_TIDY_ANALYZE_TEMPORARY_DTORS "-analyze-temporary-dtors")
+    endif()
+
+    if (${CLANG_TIDY_VERSION} VERSION_LESS "3.9.0")
+        set(CLANG_TIDY_ERRORS_ARG "")
+    else()
+        set(CLANG_TIDY_ERRORS_ARG "-warnings-as-errors='${CLANG_TIDY_ERRORS}'")
+    endif()
+
+    if (${CLANG_TIDY_VERSION} VERSION_LESS "3.9.0")
+        set(CLANG_TIDY_QUIET_ARG "")
+    else()
+        set(CLANG_TIDY_QUIET_ARG "-quiet")
+    endif()
+
+    if(PARSE_HEADER_FILTER)
+        string(REPLACE "$" "$$" CLANG_TIDY_HEADER_FILTER "${PARSE_HEADER_FILTER}")
+    else()
+        set(CLANG_TIDY_HEADER_FILTER ".*")
+    endif()
+
+    set(CLANG_TIDY_COMMAND
+        ${CLANG_TIDY_EXE}
+        ${CLANG_TIDY_QUIET_ARG}
+        -p ${CMAKE_BINARY_DIR}
+        -checks='${CLANG_TIDY_CHECKS}'
+        ${CLANG_TIDY_ERRORS_ARG}
+        ${CLANG_TIDY_EXTRA_ARGS}
+        ${CLANG_TIDY_ANALYZE_TEMPORARY_DTORS}
+        -header-filter='${CLANG_TIDY_HEADER_FILTER}'
+    )
+    add_custom_target(tidy ${CLANG_TIDY_ALL})
+    mark_as_analyzer(tidy)
+    add_custom_target(tidy-base)
+    add_custom_target(tidy-make-fixit-dir COMMAND ${CMAKE_COMMAND} -E make_directory ${CLANG_TIDY_FIXIT_DIR})
+    add_custom_target(tidy-rm-fixit-dir COMMAND ${CMAKE_COMMAND} -E remove_directory ${CLANG_TIDY_FIXIT_DIR})
+    add_dependencies(tidy-make-fixit-dir tidy-rm-fixit-dir)
+    add_dependencies(tidy-base tidy-make-fixit-dir)
+endmacro()
+
+function(clang_tidy_check TARGET)
+    get_target_property(SOURCES ${TARGET} SOURCES)
+    # TODO: Use generator expressions instead
+    # COMMAND ${CLANG_TIDY_COMMAND} $<TARGET_PROPERTY:${TARGET},SOURCES>
+    # COMMAND ${CLANG_TIDY_COMMAND} $<JOIN:$<TARGET_PROPERTY:${TARGET},SOURCES>, >
+    foreach(SOURCE ${SOURCES})
+        if((NOT "${SOURCE}" MATCHES "(h|hpp|hxx)$") AND (NOT "${SOURCE}" MATCHES "TARGET_OBJECTS"))
+            string(MAKE_C_IDENTIFIER "${SOURCE}" tidy_file)
+            set(tidy_target tidy-target-${TARGET}-${tidy_file})
+            add_custom_target(${tidy_target}
+                # for some targets clang-tidy not able to get information from .clang-tidy
+                DEPENDS ${SOURCE}
+                COMMAND ${CLANG_TIDY_COMMAND} "-config=\{CheckOptions: \[\{key: bugprone-reserved-identifier.AllowedIdentifiers,value: __HIP_PLATFORM_HCC__\; __HIP_ROCclr__\}\]\}" ${SOURCE} "-export-fixes=${CLANG_TIDY_FIXIT_DIR}/${TARGET}-${tidy_file}.yaml"
+                WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+                COMMENT "clang-tidy: Running clang-tidy on target ${SOURCE}..."
+            )
+            add_dependencies(${tidy_target} ${TARGET})
+            add_dependencies(${tidy_target} tidy-base)
+            add_dependencies(tidy ${tidy_target})
+        endif()
+    endforeach()
+endfunction()
+

cmake/CppCheck.cmake

+################################################################################
+# 
+# MIT License
+# 
+# Copyright (c) 2017 Advanced Micro Devices, Inc.
+# 
+# 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(CMakeParseArguments)
+include(ProcessorCount)
+include(Analyzers)
+
+find_program(CPPCHECK_EXE 
+    NAMES 
+        cppcheck
+    PATHS
+        /opt/rocm/bin
+)
+
+ProcessorCount(CPPCHECK_JOBS)
+
+set(CPPCHECK_BUILD_DIR ${CMAKE_BINARY_DIR}/cppcheck-build)
+file(MAKE_DIRECTORY ${CPPCHECK_BUILD_DIR})
+set_property(DIRECTORY APPEND PROPERTY ADDITIONAL_MAKE_CLEAN_FILES ${CPPCHECK_BUILD_DIR})
+
+macro(enable_cppcheck)
+    set(options FORCE)
+    set(oneValueArgs)
+    set(multiValueArgs CHECKS SUPPRESS DEFINE UNDEFINE INCLUDE SOURCES)
+
+    cmake_parse_arguments(PARSE "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
+    string(REPLACE ";" "," CPPCHECK_CHECKS "${PARSE_CHECKS}")
+    string(REPLACE ";" "\n" CPPCHECK_SUPPRESS "${PARSE_SUPPRESS};*:/usr/*")
+    file(WRITE ${CMAKE_BINARY_DIR}/cppcheck-supressions "${CPPCHECK_SUPPRESS}")
+    set(CPPCHECK_DEFINES)
+    foreach(DEF ${PARSE_DEFINE})
+        set(CPPCHECK_DEFINES "${CPPCHECK_DEFINES} -D${DEF}")
+    endforeach()
+
+    set(CPPCHECK_UNDEFINES)
+    foreach(DEF ${PARSE_UNDEFINE})
+        set(CPPCHECK_UNDEFINES "${CPPCHECK_UNDEFINES} -U${DEF}")
+    endforeach()
+
+    set(CPPCHECK_INCLUDES)
+    foreach(INC ${PARSE_INCLUDE})
+        set(CPPCHECK_INCLUDES "${CPPCHECK_INCLUDES} -I${INC}")
+    endforeach()
+
+    # set(CPPCHECK_FORCE)
+    set(CPPCHECK_FORCE "--project=${CMAKE_BINARY_DIR}/compile_commands.json")
+    if(PARSE_FORCE)
+        set(CPPCHECK_FORCE --force)
+    endif()
+
+    set(SOURCES)
+    set(GLOBS)
+    foreach(SOURCE ${PARSE_SOURCES})
+        get_filename_component(ABS_SOURCE ${SOURCE} ABSOLUTE)
+        if(EXISTS ${ABS_SOURCE})
+            if(IS_DIRECTORY ${ABS_SOURCE})
+                set(GLOBS "${GLOBS} ${ABS_SOURCE}/*.cpp ${ABS_SOURCE}/*.hpp ${ABS_SOURCE}/*.cxx ${ABS_SOURCE}/*.c ${ABS_SOURCE}/*.h")
+            else()
+                set(SOURCES "${SOURCES} ${ABS_SOURCE}")
+            endif()
+        else()
+            set(GLOBS "${GLOBS} ${ABS_SOURCE}")
+        endif()
+    endforeach()
+
+    file(WRITE ${CMAKE_BINARY_DIR}/cppcheck.cmake "
+        file(GLOB_RECURSE GSRCS ${GLOBS})
+        set(CPPCHECK_COMMAND
+            ${CPPCHECK_EXE}
+            -q
+            # -v
+            # --report-progress
+            ${CPPCHECK_FORCE}
+            --cppcheck-build-dir=${CPPCHECK_BUILD_DIR}
+            --platform=native
+            --template=gcc
+            --error-exitcode=1
+            -j ${CPPCHECK_JOBS}
+            ${CPPCHECK_DEFINES}
+            ${CPPCHECK_UNDEFINES}
+            ${CPPCHECK_INCLUDES}
+            --enable=${CPPCHECK_CHECKS}
+            --inline-suppr
+            --suppressions-list=${CMAKE_BINARY_DIR}/cppcheck-supressions
+            ${SOURCES} \${GSRCS}
+        )
+        string(REPLACE \";\" \" \" CPPCHECK_SHOW_COMMAND \"\${CPPCHECK_COMMAND}\")
+        message(\"\${CPPCHECK_SHOW_COMMAND}\")
+        execute_process(
+            COMMAND \${CPPCHECK_COMMAND}
+            WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+            RESULT_VARIABLE RESULT
+        )
+        if(NOT RESULT EQUAL 0)
+            message(FATAL_ERROR \"Cppcheck failed\")
+        endif()
+")
+
+    add_custom_target(cppcheck
+        COMMAND ${CMAKE_COMMAND} -P ${CMAKE_BINARY_DIR}/cppcheck.cmake
+        WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+        COMMENT "cppcheck: Running cppcheck..."
+    )
+    mark_as_analyzer(cppcheck)
+endmacro()
+
+

cmake/DoxygenDoc.cmake

+################################################################################
+# 
+# MIT License
+# 
+# Copyright (c) 2017 Advanced Micro Devices, Inc.
+# 
+# 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(CMakeParseArguments)
+include(MainDoc)
+
+find_program(DOXYGEN_EXECUTABLE NAMES doxygen
+    PATH_SUFFIXES bin
+    DOC "Doxygen documentation generator"
+)
+mark_as_advanced(DOXYGEN_EXECUTABLE)
+
+find_path(DOT_EXECUTABLE NAMES dot
+    PATH_SUFFIXES bin
+    DOC "Graphviz"
+)
+mark_as_advanced(DOT_EXECUTABLE)
+
+set(DOXYGEN_ARGS
+ABBREVIATE_BRIEF
+ALIASES
+ALLEXTERNALS
+ALLOW_UNICODE_NAMES
+ALPHABETICAL_INDEX
+ALWAYS_DETAILED_SEC
+AUTOLINK_SUPPORT
+BINARY_TOC
+BRIEF_MEMBER_DESC
+BUILTIN_STL_SUPPORT
+CALLER_GRAPH
+CALL_GRAPH
+CASE_SENSE_NAMES
+CHM_FILE
+CHM_INDEX_ENCODING
+CITE_BIB_FILES
+CLANG_ASSISTED_PARSING
+CLANG_OPTIONS
+CLASS_DIAGRAMS
+CLASS_GRAPH
+COLLABORATION_GRAPH
+COLS_IN_ALPHA_INDEX
+COMPACT_LATEX
+COMPACT_RTF
+CPP_CLI_SUPPORT
+CREATE_SUBDIRS
+DIAFILE_DIRS
+DIA_PATH
+DIRECTORY_GRAPH
+DISABLE_INDEX
+DISTRIBUTE_GROUP_DOC
+DOCBOOK_OUTPUT
+DOCBOOK_PROGRAMLISTING
+DOCSET_BUNDLE_ID
+DOCSET_FEEDNAME
+DOCSET_PUBLISHER_ID
+DOCSET_PUBLISHER_NAME
+DOTFILE_DIRS
+DOT_CLEANUP
+DOT_FONTNAME
+DOT_FONTPATH
+DOT_FONTSIZE
+DOT_GRAPH_MAX_NODES
+DOT_IMAGE_FORMAT
+DOT_MULTI_TARGETS
+DOT_NUM_THREADS
+# DOT_PATH
+DOT_TRANSPARENT
+DOXYFILE_ENCODING
+ECLIPSE_DOC_ID
+ENABLED_SECTIONS
+ENABLE_PREPROCESSING
+ENUM_VALUES_PER_LINE
+EXAMPLE_PATH
+EXAMPLE_PATTERNS
+EXAMPLE_RECURSIVE
+EXCLUDE
+EXCLUDE_PATTERNS
+EXCLUDE_SYMBOLS
+EXCLUDE_SYMLINKS
+EXPAND_AS_DEFINED
+EXPAND_ONLY_PREDEF
+EXTENSION_MAPPING
+EXTERNAL_GROUPS
+EXTERNAL_PAGES
+EXTERNAL_SEARCH
+EXTERNAL_SEARCH_ID
+EXTRACT_ALL
+EXTRACT_ANON_NSPACES
+EXTRACT_LOCAL_CLASSES
+EXTRACT_LOCAL_METHODS
+EXTRACT_PACKAGE
+EXTRACT_PRIVATE
+EXTRACT_STATIC
+EXTRA_PACKAGES
+EXTRA_SEARCH_MAPPINGS
+EXT_LINKS_IN_WINDOW
+FILE_PATTERNS
+FILE_VERSION_FILTER
+FILTER_PATTERNS
+FILTER_SOURCE_FILES
+FILTER_SOURCE_PATTERNS
+FORCE_LOCAL_INCLUDES
+FORMULA_FONTSIZE
+FORMULA_TRANSPARENT
+FULL_PATH_NAMES
+GENERATE_AUTOGEN_DEF
+GENERATE_BUGLIST
+GENERATE_CHI
+GENERATE_DEPRECATEDLIST
+GENERATE_DOCBOOK
+GENERATE_DOCSET
+GENERATE_ECLIPSEHELP
+GENERATE_HTML
+GENERATE_HTMLHELP
+GENERATE_LATEX
+GENERATE_LEGEND
+GENERATE_MAN
+GENERATE_PERLMOD
+GENERATE_QHP
+GENERATE_RTF
+GENERATE_TAGFILE
+GENERATE_TESTLIST
+GENERATE_TODOLIST
+GENERATE_TREEVIEW
+GENERATE_XML
+GRAPHICAL_HIERARCHY
+GROUP_GRAPHS
+GROUP_NESTED_COMPOUNDS
+# HAVE_DOT
+HHC_LOCATION
+HIDE_COMPOUND_REFERENCE
+HIDE_FRIEND_COMPOUNDS
+HIDE_IN_BODY_DOCS
+HIDE_SCOPE_NAMES
+HIDE_UNDOC_CLASSES
+HIDE_UNDOC_MEMBERS
+HIDE_UNDOC_RELATIONS
+HTML_COLORSTYLE_GAMMA
+HTML_COLORSTYLE_HUE
+HTML_COLORSTYLE_SAT
+HTML_DYNAMIC_SECTIONS
+HTML_EXTRA_FILES
+HTML_EXTRA_STYLESHEET
+HTML_FILE_EXTENSION
+HTML_FOOTER
+HTML_HEADER
+HTML_INDEX_NUM_ENTRIES
+HTML_OUTPUT
+HTML_STYLESHEET
+HTML_TIMESTAMP
+IDL_PROPERTY_SUPPORT
+IGNORE_PREFIX
+IMAGE_PATH
+INCLUDED_BY_GRAPH
+INCLUDE_FILE_PATTERNS
+INCLUDE_GRAPH
+INCLUDE_PATH
+INHERIT_DOCS
+INLINE_GROUPED_CLASSES
+INLINE_INFO
+INLINE_INHERITED_MEMB
+INLINE_SIMPLE_STRUCTS
+INLINE_SOURCES
+INPUT
+INPUT_ENCODING
+INPUT_FILTER
+INTERACTIVE_SVG
+INTERNAL_DOCS
+JAVADOC_AUTOBRIEF
+LATEX_BATCHMODE
+LATEX_BIB_STYLE
+LATEX_CMD_NAME
+LATEX_EXTRA_FILES
+LATEX_EXTRA_STYLESHEET
+LATEX_FOOTER
+LATEX_HEADER
+LATEX_HIDE_INDICES
+LATEX_OUTPUT
+LATEX_SOURCE_CODE
+LATEX_TIMESTAMP
+LAYOUT_FILE
+LOOKUP_CACHE_SIZE
+MACRO_EXPANSION
+MAKEINDEX_CMD_NAME
+MAN_EXTENSION
+MAN_LINKS
+MAN_OUTPUT
+MAN_SUBDIR
+MARKDOWN_SUPPORT
+MATHJAX_CODEFILE
+MATHJAX_EXTENSIONS
+MATHJAX_FORMAT
+MATHJAX_RELPATH
+MAX_DOT_GRAPH_DEPTH
+MAX_INITIALIZER_LINES
+MSCFILE_DIRS
+MSCGEN_PATH
+MULTILINE_CPP_IS_BRIEF
+OPTIMIZE_FOR_FORTRAN
+OPTIMIZE_OUTPUT_FOR_C
+OPTIMIZE_OUTPUT_JAVA
+OPTIMIZE_OUTPUT_VHDL
+OUTPUT_DIRECTORY
+OUTPUT_LANGUAGE
+PAPER_TYPE
+PDF_HYPERLINKS
+PERLMOD_LATEX
+PERLMOD_MAKEVAR_PREFIX
+PERLMOD_PRETTY
+PERL_PATH
+PLANTUML_CFG_FILE
+PLANTUML_INCLUDE_PATH
+PLANTUML_JAR_PATH
+PREDEFINED
+PROJECT_BRIEF
+PROJECT_LOGO
+PROJECT_NAME
+PROJECT_NUMBER
+QCH_FILE
+QHG_LOCATION
+QHP_CUST_FILTER_ATTRS
+QHP_CUST_FILTER_NAME
+QHP_NAMESPACE
+QHP_SECT_FILTER_ATTRS
+QHP_VIRTUAL_FOLDER
+QT_AUTOBRIEF
+QUIET
+RECURSIVE
+REFERENCED_BY_RELATION
+REFERENCES_LINK_SOURCE
+REFERENCES_RELATION
+REPEAT_BRIEF
+RTF_EXTENSIONS_FILE
+RTF_HYPERLINKS
+RTF_OUTPUT
+RTF_SOURCE_CODE
+RTF_STYLESHEET_FILE
+SEARCHDATA_FILE
+SEARCHENGINE
+SEARCHENGINE_URL
+SEARCH_INCLUDES
+SEPARATE_MEMBER_PAGES
+SERVER_BASED_SEARCH
+SHORT_NAMES
+SHOW_FILES
+SHOW_GROUPED_MEMB_INC
+SHOW_INCLUDE_FILES
+SHOW_NAMESPACES
+SHOW_USED_FILES
+SIP_SUPPORT
+SKIP_FUNCTION_MACROS
+SORT_BRIEF_DOCS
+SORT_BY_SCOPE_NAME
+SORT_GROUP_NAMES
+SORT_MEMBERS_CTORS_1ST
+SORT_MEMBER_DOCS
+SOURCE_BROWSER
+SOURCE_TOOLTIPS
+STRICT_PROTO_MATCHING
+STRIP_CODE_COMMENTS
+STRIP_FROM_INC_PATH
+STRIP_FROM_PATH
+SUBGROUPING
+TAB_SIZE
+TAGFILES
+TCL_SUBST
+TEMPLATE_RELATIONS
+TOC_EXPAND
+TOC_INCLUDE_HEADINGS
+TREEVIEW_WIDTH
+TYPEDEF_HIDES_STRUCT
+UML_LIMIT_NUM_FIELDS
+UML_LOOK
+USE_HTAGS
+USE_MATHJAX
+USE_MDFILE_AS_MAINPAGE
+USE_PDFLATEX
+VERBATIM_HEADERS
+WARNINGS
+WARN_AS_ERROR
+WARN_FORMAT
+WARN_IF_DOC_ERROR
+WARN_IF_UNDOCUMENTED
+WARN_LOGFILE
+WARN_NO_PARAMDOC
+XML_OUTPUT
+XML_PROGRAMLISTING
+)
+
+set(DOXYGEN_CONFIG_FILE "${CMAKE_CURRENT_BINARY_DIR}/doxygen/doxygen.conf" CACHE PATH "Path to generated doxygen configuration file")
+
+function(add_doxygen_doc)
+    set(options)
+    set(oneValueArgs)
+    set(multiValueArgs DEPENDS ${DOXYGEN_ARGS})
+
+    cmake_parse_arguments(PARSE "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
+
+    file(WRITE ${DOXYGEN_CONFIG_FILE} "# Auto-generated doxygen configuration file\n")
+
+    foreach(ARG ${DOXYGEN_ARGS})
+        if(PARSE_${ARG})
+            string(REPLACE ";" " " ARG_VALUE ${PARSE_${ARG}})
+            file(APPEND ${DOXYGEN_CONFIG_FILE} "\n${ARG} = ${ARG_VALUE}\n")
+        endif()
+    endforeach()
+
+    if(PARSE_OUTPUT_DIRECTORY)
+        if(NOT EXISTS ${PARSE_OUTPUT_DIRECTORY})
+            file(MAKE_DIRECTORY ${PARSE_OUTPUT_DIRECTORY})
+        endif()
+    endif()
+
+    if(DOT_EXECUTABLE)
+        file(APPEND ${DOXYGEN_CONFIG_FILE} "\nDOT_PATH = \"${DOT_EXECUTABLE}\"\n")
+        file(APPEND ${DOXYGEN_CONFIG_FILE} "\nHAVE_DOT = YES\n")
+    else()
+        file(APPEND ${DOXYGEN_CONFIG_FILE} "\nHAVE_DOT = NO\n")
+    endif()
+
+    add_custom_target(doxygen
+        ${DOXYGEN_EXECUTABLE} ${DOXYGEN_CONFIG_FILE}
+        WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+        COMMENT "Building documentation with doxygen"
+    )
+    if(PARSE_OUTPUT_DIRECTORY)
+        clean_doc_output(${PARSE_OUTPUT_DIRECTORY})
+    endif()
+    mark_as_doc(doxygen)
+    if(PARSE_DEPENDS)
+        add_dependencies(doxygen ${PARSE_DEPENDS})
+    endif()
+endfunction()

cmake/EnableCompilerWarnings.cmake

+################################################################################
+#
+# MIT License
+#
+# Copyright (c) 2017 Advanced Micro Devices, Inc.
+#
+# 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.
+#
+################################################################################
+# - Enable warning all for gcc/clang or use /W4 for visual studio
+
+## Strict warning level
+if (MSVC)
+    # Use the highest warning level for visual studio.
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /w")
+    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /w")
+    # set(CMAKE_CXX_WARNING_LEVEL 4)
+    # if (CMAKE_CXX_FLAGS MATCHES "/W[0-4]")
+    #     string(REGEX REPLACE "/W[0-4]" "/W4" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
+    # else ()
+    #     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /W4")
+    # endif ()
+
+    # set(CMAKE_C_WARNING_LEVEL 4)
+    # if (CMAKE_C_FLAGS MATCHES "/W[0-4]")
+    #     string(REGEX REPLACE "/W[0-4]" "/W4" CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
+    # else ()
+    #     set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /W4")
+    # endif ()
+
+else()
+    foreach(COMPILER C CXX)
+        set(CMAKE_COMPILER_WARNINGS)
+        # use -Wall for gcc and clang
+        list(APPEND CMAKE_COMPILER_WARNINGS
+            -Wall
+            -Wextra
+            -Wcomment
+            -Wendif-labels
+            -Wformat
+            -Winit-self
+            -Wreturn-type
+            -Wsequence-point
+            # Shadow is broken on gcc when using lambdas
+            # -Wshadow
+            -Wswitch
+            -Wtrigraphs
+            -Wundef
+            -Wuninitialized
+            -Wunreachable-code
+            -Wunused
+
+            -Wno-sign-compare
+            -Wno-extra-semi-stmt
+        )
+        if (CMAKE_${COMPILER}_COMPILER_ID MATCHES "Clang")
+            list(APPEND CMAKE_COMPILER_WARNINGS
+                -Weverything
+                -Wno-c++98-compat
+                -Wno-c++98-compat-pedantic
+                -Wno-conversion
+                -Wno-double-promotion
+                -Wno-exit-time-destructors
+                -Wno-extra-semi
+                -Wno-float-conversion
+                -Wno-gnu-anonymous-struct
+                -Wno-gnu-zero-variadic-macro-arguments
+                -Wno-missing-prototypes
+                -Wno-nested-anon-types
+                -Wno-padded
+                -Wno-return-std-move-in-c++11
+                -Wno-shorten-64-to-32
+                -Wno-sign-conversion
+                -Wno-unknown-warning-option
+                -Wno-unused-command-line-argument
+                -Wno-weak-vtables
+                -Wno-covered-switch-default
+            )
+        else()
+            if (CMAKE_${COMPILER}_COMPILER_ID MATCHES "GNU" AND ${COMPILER} MATCHES "CXX")
+                # cmake 3.5.2 does not support >=.
+                if(NOT CMAKE_CXX_COMPILER_VERSION VERSION_LESS "6.1")
+                    list(APPEND CMAKE_COMPILER_WARNINGS
+                        -Wno-ignored-attributes)
+                endif()
+            endif()
+            list(APPEND CMAKE_COMPILER_WARNINGS
+                -Wno-missing-field-initializers
+                -Wno-deprecated-declarations
+            )
+        endif()
+        add_definitions(${CMAKE_COMPILER_WARNINGS})
+    endforeach()
+endif ()

cmake/TargetFlags.cmake

-
-function(get_target_property2 VAR TARGET PROPERTY)
-    get_target_property(_pflags ${TARGET} ${PROPERTY})
-    if(_pflags)
-        set(${VAR} ${_pflags} PARENT_SCOPE)
-    else()
-        set(${VAR} "" PARENT_SCOPE)
-    endif()
-endfunction()
-
-
-macro(append_flags FLAGS TARGET PROPERTY PREFIX)
-    get_target_property2(_pflags ${TARGET} ${PROPERTY})
-    foreach(FLAG ${_pflags})
-        if(TARGET ${FLAG})
-            target_flags(_pflags2 ${FLAG})
-            string(APPEND ${FLAGS} " ${_pflags2}")
-        else()
-            string(APPEND ${FLAGS} " ${PREFIX}${FLAG}")
-        endif()
-    endforeach()
-endmacro()
-
-macro(append_link_flags FLAGS TARGET PROPERTY)
-    get_target_property2(_pflags ${TARGET} ${PROPERTY})
-    foreach(FLAG ${_pflags})
-        if(TARGET ${FLAG})
-            target_flags(_pflags2 ${FLAG})
-            string(APPEND ${FLAGS} " ${_pflags2}")
-        elseif(FLAG MATCHES "^-.*")
-            string(APPEND ${FLAGS} " ${FLAG}")
-        elseif(EXISTS ${FLAG})
-            string(APPEND ${FLAGS} " ${FLAG}")
-        else()
-            string(APPEND ${FLAGS} " -l${FLAG}")
-        endif()
-    endforeach()
-endmacro()
-
-function(target_flags FLAGS TARGET)
-    set(_flags)
-    append_flags(_flags ${TARGET} "INTERFACE_COMPILE_OPTIONS" "")
-    append_flags(_flags ${TARGET} "INTERFACE_COMPILE_DEFINITIONS" "-D")
-    append_flags(_flags ${TARGET} "INTERFACE_INCLUDE_DIRECTORIES" "-isystem ")
-    append_flags(_flags ${TARGET} "INTERFACE_LINK_DIRECTORIES" "-L ")
-    append_flags(_flags ${TARGET} "INTERFACE_LINK_OPTIONS" "")
-    append_link_flags(_flags ${TARGET} "INTERFACE_LINK_LIBRARIES" "")
-    # message("_flags: ${_flags}")
-    set(${FLAGS} ${_flags} PARENT_SCOPE)
-endfunction()

composable_kernel/include/problem_transform/transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_BACKWARD_DATA_CONVOLUTION_INTO_GEMM_V4R1_NHWC_KYXC_NHWK_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -23,9 +23,9 @@ template <typename... Wei,
           index_t GemmK1Value>
 __host__ __device__ constexpr auto
 transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -102,7 +102,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
     const auto K0 = K / K1;
 
     // weight tensor
-    const auto wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc = transform_tensor_descriptor(
         wei_k_y_x_c_grid_desc,
         make_tuple(make_pass_through_transform(K),
                    make_embed_transform(make_tuple(YDot, YTilda),
@@ -114,7 +114,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto wei_k0_k1_ydotslice_xdotslice_c_grid_desc =
-        transform_dynamic_tensor_descriptor(wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc,
+        transform_tensor_descriptor(wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(K0, K1)),
                                                make_slice_transform(YDot, I0, YDotSlice),
                                                make_slice_transform(XDot, I0, XDotSlice),
@@ -135,7 +135,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
                                                Sequence<4>{}));
 
 #if 1
-    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_tensor_descriptor(
         wei_k0_k1_ydotslice_xdotslice_c_grid_desc,
         make_tuple(make_merge_transform(make_tuple(YDotSlice, XDotSlice, K0)),
                    make_pass_through_transform(C),
@@ -143,7 +143,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<2, 3, 0>{}, Sequence<4>{}, Sequence<1>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}));
 #else
-    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_tensor_descriptor(
         wei_k0_k1_ydotslice_xdotslice_c_grid_desc,
         make_tuple(make_merge_transform(make_tuple(K0, YDotSlice, XDotSlice)),
                    make_pass_through_transform(C),
@@ -154,7 +154,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
 
     // output tensor
     // this add padding check
-    const auto out_n_hop_wop_k_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_n_hop_wop_k_grid_desc = transform_tensor_descriptor(
         out_n_ho_wo_k_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Ho, I0, I0),
@@ -163,7 +163,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto out_n_ydot_htilda_xdot_wtilda_k_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_n_ydot_htilda_xdot_wtilda_k_grid_desc = transform_tensor_descriptor(
         out_n_hop_wop_k_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(YDot, HTilda),
@@ -175,7 +175,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc =
-        transform_dynamic_tensor_descriptor(
+        transform_tensor_descriptor(
             out_n_ydot_htilda_xdot_wtilda_k_grid_desc,
             make_tuple(make_pass_through_transform(N),
                        make_slice_transform(YDot, I0, YDotSlice),
@@ -197,7 +197,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
                        Sequence<5, 6>{}));
 
 #if 1
-    const auto out_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_gemmk0_gemmn_gemmk1_grid_desc = transform_tensor_descriptor(
         out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc,
         make_tuple(make_merge_transform(make_tuple(YDotSlice, XDotSlice, K0)),
                    make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice)),
@@ -205,7 +205,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<1, 3, 5>{}, Sequence<0, 2, 4>{}, Sequence<6>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}));
 #else
-    const auto out_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_gemmk0_gemmn_gemmk1_grid_desc = transform_tensor_descriptor(
         out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc,
         make_tuple(make_merge_transform(make_tuple(K0, YDotSlice, XDotSlice)),
                    make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice)),
@@ -215,7 +215,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
 #endif
 
     // input tensor
-    const auto in_n_hip_wip_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_hip_wip_c_grid_desc = transform_tensor_descriptor(
         in_n_hi_wi_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Hi, InLeftPadH, InRightPadH),
@@ -224,7 +224,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc = transform_tensor_descriptor(
         in_n_hip_wip_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(YTilda, HTilda),
@@ -235,7 +235,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
-    const auto in_n_htildaslice_wtildaslice_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_htildaslice_wtildaslice_c_grid_desc = transform_tensor_descriptor(
         in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_freeze_transform(IYTilda),
@@ -256,7 +256,7 @@ transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk(
                    Sequence<2>{},
                    Sequence<3>{}));
 
-    const auto in_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
         in_n_htildaslice_wtildaslice_c_grid_desc,
         make_tuple(make_pass_through_transform(C),
                    make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice))),

composable_kernel/include/problem_transform/transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_BACKWARD_DATA_CONVOLUTION_INTO_GEMM_V4R1R2_NHWC_KYXC_NHWK_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -26,9 +26,9 @@ template <typename... Wei,
           index_t GemmK1Value>
 __host__ __device__ constexpr auto
 transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -106,7 +106,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
 
     // A: output tensor
     // this add padding check
-    const auto out_n_hop_wop_k_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_n_hop_wop_k_grid_desc = transform_tensor_descriptor(
         out_n_ho_wo_k_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Ho, I0, I0),
@@ -115,7 +115,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto out_n_ydot_htilda_xdot_wtilda_k_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_n_ydot_htilda_xdot_wtilda_k_grid_desc = transform_tensor_descriptor(
         out_n_hop_wop_k_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(YDot, HTilda),
@@ -127,7 +127,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc =
-        transform_dynamic_tensor_descriptor(
+        transform_tensor_descriptor(
             out_n_ydot_htilda_xdot_wtilda_k_grid_desc,
             make_tuple(make_pass_through_transform(N),
                        make_slice_transform(YDot, I0, YDotSlice),
@@ -149,7 +149,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
                        Sequence<5, 6>{}));
 
 #if 1
-    const auto out_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_gemmk0_gemmm_gemmk1_grid_desc = transform_tensor_descriptor(
         out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc,
         make_tuple(make_merge_transform(make_tuple(YDotSlice, XDotSlice, K0)),
                    make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice)),
@@ -157,7 +157,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<1, 3, 5>{}, Sequence<0, 2, 4>{}, Sequence<6>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}));
 #else
-    const auto out_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_gemmk0_gemmm_gemmk1_grid_desc = transform_tensor_descriptor(
         out_n_ydotslice_htildaslice_xdotslice_wtildaslice_k0_k1_grid_desc,
         make_tuple(make_merge_transform(make_tuple(K0, YDotSlice, XDotSlice)),
                    make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice)),
@@ -167,7 +167,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
 #endif
 
     // B: weight tensor
-    const auto wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc = transform_tensor_descriptor(
         wei_k_y_x_c_grid_desc,
         make_tuple(make_pass_through_transform(K),
                    make_embed_transform(make_tuple(YDot, YTilda),
@@ -179,7 +179,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto wei_k0_k1_ydotslice_xdotslice_c_grid_desc =
-        transform_dynamic_tensor_descriptor(wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc,
+        transform_tensor_descriptor(wei_k_ydot_ytilda_xdot_xtilda_c_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(K0, K1)),
                                                make_slice_transform(YDot, I0, YDotSlice),
                                                make_slice_transform(XDot, I0, XDotSlice),
@@ -200,7 +200,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
                                                Sequence<4>{}));
 
 #if 1
-    const auto wei_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_gemmk0_gemmn_gemmk1_grid_desc = transform_tensor_descriptor(
         wei_k0_k1_ydotslice_xdotslice_c_grid_desc,
         make_tuple(make_merge_transform(make_tuple(YDotSlice, XDotSlice, K0)),
                    make_pass_through_transform(C),
@@ -208,7 +208,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<2, 3, 0>{}, Sequence<4>{}, Sequence<1>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}));
 #else
-    const auto wei_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto wei_gemmk0_gemmn_gemmk1_grid_desc = transform_tensor_descriptor(
         wei_k0_k1_ydotslice_xdotslice_c_grid_desc,
         make_tuple(make_merge_transform(make_tuple(K0, YDotSlice, XDotSlice)),
                    make_pass_through_transform(C),
@@ -218,7 +218,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
 #endif
 
     // C: input tensor
-    const auto in_n_hip_wip_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_hip_wip_c_grid_desc = transform_tensor_descriptor(
         in_n_hi_wi_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Hi, InLeftPadH, InRightPadH),
@@ -227,7 +227,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc = transform_tensor_descriptor(
         in_n_hip_wip_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(YTilda, HTilda),
@@ -238,7 +238,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
-    const auto in_n_htildaslice_wtildaslice_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_htildaslice_wtildaslice_c_grid_desc = transform_tensor_descriptor(
         in_n_ytilda_htilda_xtilda_wtilda_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_freeze_transform(IYTilda),
@@ -259,7 +259,7 @@ transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk(
                    Sequence<2>{},
                    Sequence<3>{}));
 
-    const auto in_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
         in_n_htildaslice_wtildaslice_c_grid_desc,
         make_tuple(make_merge_transform(make_tuple(N, HTildaSlice, WTildaSlice)),
                    make_pass_through_transform(C)),

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_GEMM_V4R4_NCHW_KCYX_NKHW_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -18,9 +18,9 @@ template <typename... Wei,
           typename InLeftPads,
           typename InRightPads>
 __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
-    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
+    const TensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
+    const TensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
+    const TensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -57,14 +57,14 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
     const auto InRightPadW = in_right_pads[I1];
 
     // weight tensor
-    const auto wei_gemmk_gemmm_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
+    const auto wei_gemmk_gemmm_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // input tensor
-    const auto in_n_c_hip_wip_global_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_hip_wip_global_desc = transform_tensor_descriptor(
         in_n_c_hi_wi_global_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -73,7 +73,7 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
         in_n_c_hip_wip_global_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -83,15 +83,15 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
 
     const auto in_gemmk_gemmn_global_desc =
-        transform_dynamic_tensor_descriptor(in_n_c_y_ho_x_wo_global_desc,
+        transform_tensor_descriptor(in_n_c_y_ho_x_wo_global_desc,
                                     make_tuple(make_merge_transform(make_tuple(C, Y, X)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo)),
+    const auto out_gemmm_gemmn_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho * Wo)),
         make_tuple(make_pass_through_transform(K), make_merge_transform(make_tuple(N, Ho * Wo))),
         make_tuple(Sequence<1>{}, Sequence<0, 2>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));
@@ -109,9 +109,9 @@ template <typename... Wei,
           typename InRightPads>
 __host__ __device__ constexpr auto
 transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_no_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
-    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
+    const TensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
+    const TensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
+    const TensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -126,9 +126,6 @@ transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_no_pad(
     const auto C = in_n_c_hi_wi_global_desc.GetLength(I1);
     const auto K = out_n_k_ho_wo_global_desc.GetLength(I1);
 
-    const auto Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
-    const auto Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
-
     const auto Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
     const auto Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
 
@@ -150,14 +147,14 @@ transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_no_pad(
     assert(InLeftPadH == 0 && InLeftPadW == 0 && InRightPadH == 0 && InRightPadW == 0);
 
     // weight tensor
-    const auto wei_gemmk_gemmm_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
+    const auto wei_gemmk_gemmm_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // input tensor
-    const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
         in_n_c_hi_wi_global_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -167,15 +164,15 @@ transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_no_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
 
     const auto in_gemmk_gemmn_global_desc =
-        transform_dynamic_tensor_descriptor(in_n_c_y_ho_x_wo_global_desc,
+        transform_tensor_descriptor(in_n_c_y_ho_x_wo_global_desc,
                                     make_tuple(make_merge_transform(make_tuple(C, Y, X)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo)),
+    const auto out_gemmm_gemmn_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho * Wo)),
         make_tuple(make_pass_through_transform(K), make_merge_transform(make_tuple(N, Ho * Wo))),
         make_tuple(Sequence<1>{}, Sequence<0, 2>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));
@@ -192,9 +189,9 @@ template <typename... Wei,
           typename InLeftPads,
           typename InRightPads>
 __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_1x1(
-    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
-    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
+    const TensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
+    const TensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
+    const TensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -209,9 +206,6 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
     const auto C = in_n_c_hi_wi_global_desc.GetLength(I1);
     const auto K = out_n_k_ho_wo_global_desc.GetLength(I1);
 
-    const auto Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
-    const auto Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
-
     const auto Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
     const auto Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
 
@@ -235,22 +229,22 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
            InRightPadW == 0);
 
     // weight tensor
-    const auto wei_gemmk_gemmm_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C)),
+    const auto wei_gemmk_gemmm_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, C)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // input tensor
-    const auto in_gemmk_gemmn_global_desc = transform_dynamic_tensor_descriptor(
+    const auto in_gemmk_gemmn_global_desc = transform_tensor_descriptor(
         in_n_c_hi_wi_global_desc,
         make_tuple(make_pass_through_transform(C), make_merge_transform(make_tuple(N, Ho, Wo))),
         make_tuple(Sequence<1>{}, Sequence<0, 2, 3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_global_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo)),
+    const auto out_gemmm_gemmn_global_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho * Wo)),
         make_tuple(make_pass_through_transform(K), make_merge_transform(make_tuple(N, Ho * Wo))),
         make_tuple(Sequence<1>{}, Sequence<0, 2>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v4r4_nhwc_kyxc_nhwk.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_GEMM_V4R4_NHWC_KYXC_NHWK_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -18,9 +18,9 @@ template <typename... Wei,
           typename InLeftPads,
           typename InRightPads>
 __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_nhwc_kyxc_nhwk_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -57,14 +57,14 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
     const auto InRightPadW = in_right_pads[I1];
 
     // weight tensor
-    const auto wei_gemmk_gemmm_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, Y * X * C)),
+    const auto wei_gemmk_gemmm_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, Y * X * C)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(Y * X * C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // input tensor
-    const auto in_n_hip_wip_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_hip_wip_c_grid_desc = transform_tensor_descriptor(
         in_n_hi_wi_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Hi, InLeftPadH, InRightPadH),
@@ -73,7 +73,7 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_y_ho_x_wo_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_y_ho_x_wo_c_grid_desc = transform_tensor_descriptor(
         in_n_hip_wip_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(Y, Ho), make_tuple(ConvDilationH, ConvStrideH)),
@@ -83,15 +83,15 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto in_gemmk_gemmn_grid_desc =
-        transform_dynamic_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
+        transform_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
                                     make_tuple(make_merge_transform(make_tuple(Y, X, C)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 3, 5>{}, Sequence<0, 2, 4>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, K)),
+    const auto out_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N * Ho * Wo, K)),
         make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(K)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
@@ -108,9 +108,9 @@ template <typename... Wei,
           typename InLeftPads,
           typename InRightPads>
 __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_nhwc_kyxc_nhwk_1x1(
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -125,9 +125,6 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
     const auto C = in_n_hi_wi_c_grid_desc.GetLength(I3);
     const auto K = out_n_ho_wo_k_grid_desc.GetLength(I3);
 
-    const auto Hi = in_n_hi_wi_c_grid_desc.GetLength(I1);
-    const auto Wi = in_n_hi_wi_c_grid_desc.GetLength(I2);
-
     const auto Ho = out_n_ho_wo_k_grid_desc.GetLength(I1);
     const auto Wo = out_n_ho_wo_k_grid_desc.GetLength(I2);
 
@@ -151,22 +148,22 @@ __host__ __device__ constexpr auto transform_forward_convolution_into_gemm_v4r4_
            InRightPadW == 0);
 
     // weight tensor
-    const auto wei_gemmk_gemmm_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C)),
+    const auto wei_gemmk_gemmm_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, C)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // input tensor
-    const auto in_gemmk_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, C)),
+    const auto in_gemmk_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N * Ho * Wo, C)),
         make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, K)),
+    const auto out_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N * Ho * Wo, K)),
         make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(K)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_GEMM_V4R4R2_NCHW_KCYX_NKHW_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -20,9 +20,9 @@ template <typename... Wei,
           index_t GemmK1Value>
 __host__ __device__ constexpr auto
 transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_c_y_x_grid_desc,
+    const TensorDescriptor<In...>& in_n_c_hi_wi_grid_desc,
+    const TensorDescriptor<Out...>& out_n_k_ho_wo_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -67,21 +67,21 @@ transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
     const auto GemmK0 = GemmK / GemmK1;
 
     // weight tensor
-    const auto wei_gemmk_gemmm_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
+    const auto wei_gemmk_gemmm_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
-    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        wei_gemmk_gemmm_grid_desc,
+    const auto wei_gemmk0_gemmm_gemmk1_grid_desc =
+        transform_tensor_descriptor(wei_gemmk_gemmm_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmM)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // input tensor
-    const auto in_n_c_hip_wip_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_hip_wip_grid_desc = transform_tensor_descriptor(
         in_n_c_hi_wi_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -90,7 +90,7 @@ transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_c_y_ho_x_wo_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_y_ho_x_wo_grid_desc = transform_tensor_descriptor(
         in_n_c_hip_wip_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -100,22 +100,22 @@ transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
 
     const auto in_gemmk_gemmn_grid_desc =
-        transform_dynamic_tensor_descriptor(in_n_c_y_ho_x_wo_grid_desc,
+        transform_tensor_descriptor(in_n_c_y_ho_x_wo_grid_desc,
                                     make_tuple(make_merge_transform(make_tuple(C, Y, X)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
-    const auto in_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        in_gemmk_gemmn_grid_desc,
+    const auto in_gemmk0_gemmn_gemmk1_grid_desc =
+        transform_tensor_descriptor(in_gemmk_gemmn_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmN)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo)),
+    const auto out_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho * Wo)),
         make_tuple(make_pass_through_transform(K), make_merge_transform(make_tuple(N, Ho * Wo))),
         make_tuple(Sequence<1>{}, Sequence<0, 2>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_GEMM_V4R4R2_NHWC_KYXC_NHWK_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -20,9 +20,9 @@ template <typename... Wei,
           index_t GemmK1Value>
 __host__ __device__ constexpr auto
 transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -67,21 +67,21 @@ transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk_pad(
     const auto GemmK0 = GemmK / GemmK1;
 
     // weight tensor
-    const auto wei_gemmk_gemmm_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, Y * X * C)),
+    const auto wei_gemmk_gemmm_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, Y * X * C)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(Y * X * C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
-    const auto wei_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        wei_gemmk_gemmm_grid_desc,
+    const auto wei_gemmk0_gemmm_gemmk1_grid_desc =
+        transform_tensor_descriptor(wei_gemmk_gemmm_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmM)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // input tensor
-    const auto in_n_hip_wip_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_hip_wip_c_grid_desc = transform_tensor_descriptor(
         in_n_hi_wi_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Hi, InLeftPadH, InRightPadH),
@@ -90,7 +90,7 @@ transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_y_ho_x_wo_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_y_ho_x_wo_c_grid_desc = transform_tensor_descriptor(
         in_n_hip_wip_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(Y, Ho), make_tuple(ConvDilationH, ConvStrideH)),
@@ -100,22 +100,22 @@ transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk_pad(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto in_gemmk_gemmn_grid_desc =
-        transform_dynamic_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
+        transform_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
                                     make_tuple(make_merge_transform(make_tuple(Y, X, C)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 3, 5>{}, Sequence<0, 2, 4>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
-    const auto in_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        in_gemmk_gemmn_grid_desc,
+    const auto in_gemmk0_gemmn_gemmk1_grid_desc =
+        transform_tensor_descriptor(in_gemmk_gemmn_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmN)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // output tensor
-    const auto out_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, K)),
+    const auto out_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N * Ho * Wo, K)),
         make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(K)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_GEMM_V4R4R4_NHWC_KYXC_NHWK_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -23,9 +23,9 @@ template <typename... In,
           index_t GemmK1Value>
 __host__ __device__ constexpr auto
 transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(
-    const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
-    const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
+    const TensorDescriptor<In...>& in_n_hi_wi_c_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_y_x_c_grid_desc,
+    const TensorDescriptor<Out...>& out_n_ho_wo_k_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -70,7 +70,7 @@ transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(
     const auto GemmK0 = GemmK / GemmK1;
 
     // A: input tensor
-    const auto in_n_hip_wip_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_hip_wip_c_grid_desc = transform_tensor_descriptor(
         in_n_hi_wi_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pad_transform(Hi, InLeftPadH, InRightPadH),
@@ -79,7 +79,7 @@ transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n_y_ho_x_wo_c_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_y_ho_x_wo_c_grid_desc = transform_tensor_descriptor(
         in_n_hip_wip_c_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_embed_transform(make_tuple(Y, Ho), make_tuple(ConvDilationH, ConvStrideH)),
@@ -89,36 +89,36 @@ transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(
         make_tuple(Sequence<0>{}, Sequence<1, 2>{}, Sequence<3, 4>{}, Sequence<5>{}));
 
     const auto in_gemmk_gemmm_grid_desc =
-        transform_dynamic_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
+        transform_tensor_descriptor(in_n_y_ho_x_wo_c_grid_desc,
                                     make_tuple(make_merge_transform(make_tuple(Y, X, C)),
                                                make_merge_transform(make_tuple(N, Ho, Wo))),
                                     make_tuple(Sequence<1, 3, 5>{}, Sequence<0, 2, 4>{}),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}));
 
-    const auto in_gemmk0_gemmm_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        in_gemmk_gemmm_grid_desc,
+    const auto in_gemmk0_gemmm_gemmk1_grid_desc =
+        transform_tensor_descriptor(in_gemmk_gemmm_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmM)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // B: weight tensor
-    const auto wei_gemmk_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, Y * X * C)),
+    const auto wei_gemmk_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(K, Y * X * C)),
         make_tuple(make_pass_through_transform(K), make_pass_through_transform(Y * X * C)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<1>{}, Sequence<0>{}));
 
-    const auto wei_gemmk0_gemmn_gemmk1_grid_desc = transform_dynamic_tensor_descriptor(
-        wei_gemmk_gemmn_grid_desc,
+    const auto wei_gemmk0_gemmn_gemmk1_grid_desc =
+        transform_tensor_descriptor(wei_gemmk_gemmn_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(GemmK0, GemmK1)),
                                                make_pass_through_transform(GemmN)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
 
     // C: output tensor
-    const auto out_gemmm_gemmn_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, K)),
+    const auto out_gemmm_gemmn_grid_desc = transform_tensor_descriptor(
+        make_naive_tensor_descriptor_packed(make_tuple(N * Ho * Wo, K)),
         make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(K)),
         make_tuple(Sequence<0>{}, Sequence<1>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}));

composable_kernel/include/problem_transform/transform_forward_convolution_into_gemm_v6r1_nchw_kcyx_nkhw.hpp

@@ -2,8 +2,8 @@
 #define CK_TRANSFORM_FORWARD_CONVOLUTION_INTO_CONTRACTION_V6R1_NCHW_KCYX_NKHW_HPP
 
 #include "common_header.hpp"
-#include "dynamic_tensor_descriptor.hpp"
-#include "dynamic_tensor_descriptor_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
 
 namespace ck {
 
@@ -24,9 +24,9 @@ template <typename... Wei,
           typename C0Type>
 __host__ __device__ constexpr auto
 transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
-    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_grid_desc,
-    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_grid_desc,
-    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_grid_desc,
+    const TensorDescriptor<Wei...>& wei_k_c_y_x_grid_desc,
+    const TensorDescriptor<In...>& in_n_c_hi_wi_grid_desc,
+    const TensorDescriptor<Out...>& out_n_k_ho_wo_grid_desc,
     const ConvStrides& conv_strides,
     const ConvDilations& conv_dilations,
     const InLeftPads& in_left_pads,
@@ -68,15 +68,15 @@ transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
     const auto C1 = C / C0;
 
     // weight tensor
-    const auto wei_gk0_gm0_gm1_gk1_grid_desc = transform_dynamic_tensor_descriptor(
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
+    const auto wei_gk0_gm0_gm1_gk1_grid_desc =
+        transform_tensor_descriptor(make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
                                     make_tuple(make_unmerge_transform(make_tuple(I1, K)),
                                                make_unmerge_transform(make_tuple(C0, C1 * Y * X))),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}),
                                     make_tuple(Sequence<1, 2>{}, Sequence<3, 0>{}));
 
     // input tensor
-    const auto in_n_c_hip_wip_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n_c_hip_wip_grid_desc = transform_tensor_descriptor(
         in_n_c_hi_wi_grid_desc,
         make_tuple(make_pass_through_transform(N),
                    make_pass_through_transform(C),
@@ -85,7 +85,7 @@ transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
 
-    const auto in_n0_n1_c0_c1_y_ho_x_wo_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_n0_n1_c0_c1_y_ho_x_wo_grid_desc = transform_tensor_descriptor(
         in_n_c_hip_wip_grid_desc,
         make_tuple(make_unmerge_transform(make_tuple(N0, N1)),
                    make_unmerge_transform(make_tuple(C0, C1)),
@@ -94,7 +94,7 @@ transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
         make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
         make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}, Sequence<6, 7>{}));
 
-    const auto in_gk0_gn0_gn1_gk1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto in_gk0_gn0_gn1_gk1_grid_desc = transform_tensor_descriptor(
         in_n0_n1_c0_c1_y_ho_x_wo_grid_desc,
         make_tuple(make_merge_transform(make_tuple(C1, Y, X)),
                    make_pass_through_transform(N0),
@@ -105,17 +105,17 @@ transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
 
     // output tensor
     const auto out_n_k_howo_grid_desc =
-        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo));
+        make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho * Wo));
 
-    const auto out_n0_n1_1_k_howo_grid_desc = transform_dynamic_tensor_descriptor(
-        out_n_k_howo_grid_desc,
+    const auto out_n0_n1_1_k_howo_grid_desc =
+        transform_tensor_descriptor(out_n_k_howo_grid_desc,
                                     make_tuple(make_unmerge_transform(make_tuple(N0, N1)),
                                                make_unmerge_transform(make_tuple(I1, K)),
                                                make_pass_through_transform(Ho * Wo)),
                                     make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}),
                                     make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}, Sequence<4>{}));
 
-    const auto out_gm0_gm1_gn0_gn1_grid_desc = transform_dynamic_tensor_descriptor(
+    const auto out_gm0_gm1_gn0_gn1_grid_desc = transform_tensor_descriptor(
         out_n0_n1_1_k_howo_grid_desc,
         make_tuple(make_pass_through_transform(I1),
                    make_pass_through_transform(K),

composable_kernel/include/tensor_description/cluster_descriptor.hpp

@@ -8,7 +8,7 @@ namespace ck {
 
 template <typename Lengths,
           typename ArrangeOrder = typename arithmetic_sequence_gen<0, Lengths::Size(), 1>::type>
-__host__ __device__ constexpr auto make_cluster_descriptor_v2(
+__host__ __device__ constexpr auto make_cluster_descriptor(
     const Lengths& lengths,
     ArrangeOrder order = typename arithmetic_sequence_gen<0, Lengths::Size(), 1>::type{})
 {

composable_kernel/include/tensor_description/dynamic_multi_index_transform.hpp → composable_kernel/include/tensor_description/multi_index_transform.hpp

-#ifndef CK_DYNAMIC_MULTI_INDEX_TRANSFORM_HPP
-#define CK_DYNAMIC_MULTI_INDEX_TRANSFORM_HPP
+#ifndef CK_MULTI_INDEX_TRANSFORM_HPP
+#define CK_MULTI_INDEX_TRANSFORM_HPP
 
 #include "common_header.hpp"
 #include "multi_index.hpp"
@@ -7,7 +7,7 @@
 namespace ck {
 
 template <typename LowLength>
-struct DynamicPassThrough
+struct PassThrough
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
@@ -16,9 +16,9 @@ struct DynamicPassThrough
 
     UpLengths up_lengths_;
 
-    __host__ __device__ constexpr DynamicPassThrough() = default;
+    __host__ __device__ constexpr PassThrough() = default;
 
-    __host__ __device__ constexpr DynamicPassThrough(const LowLength& low_length)
+    __host__ __device__ constexpr PassThrough(const LowLength& low_length)
         : up_lengths_{make_tuple(low_length)}
     {
     }
@@ -82,33 +82,36 @@ struct DynamicPassThrough
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicPassThrough, ");
+        printf("PassThrough, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
         printf("}");
     }
 };
 
-template <typename LowLength, typename LeftPad, typename RightPad, bool SkipIsValidCheck = false>
-struct DynamicPad
+template <typename LowLength,
+          typename LeftPadLength,
+          typename RightPadLength,
+          bool SkipIsValidCheck = false>
+struct Pad
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
 
-    using UpLengths = decltype(make_tuple(LowLength{} + LeftPad{} + RightPad{}));
+    using UpLengths = decltype(make_tuple(LowLength{} + LeftPadLength{} + RightPadLength{}));
 
     UpLengths up_lengths_;
-    LeftPad left_pad_;
-    RightPad right_pad_;
+    LeftPadLength left_pad_length_;
+    RightPadLength right_pad_length_;
 
-    __host__ __device__ constexpr DynamicPad() = default;
+    __host__ __device__ constexpr Pad() = default;
 
-    __host__ __device__ constexpr DynamicPad(const LowLength& low_length,
-                                             const LeftPad& left_pad,
-                                             const RightPad& right_pad)
-        : up_lengths_{make_tuple(low_length + left_pad + right_pad)},
-          left_pad_{left_pad},
-          right_pad_{right_pad}
+    __host__ __device__ constexpr Pad(const LowLength& low_length,
+                                      const LeftPadLength& left_pad_length,
+                                      const RightPadLength& right_pad_length)
+        : up_lengths_{make_tuple(low_length + left_pad_length + right_pad_length)},
+          left_pad_length_{left_pad_length},
+          right_pad_length_{right_pad_length}
     {
     }
 
@@ -125,7 +128,7 @@ struct DynamicPad
         static_assert(LowIdx::Size() == 1 && UpIdx::Size() == 1,
                       "wrong! inconsistent # of dimension");
 
-        idx_low(Number<0>{}) = idx_up[Number<0>{}] - left_pad_;
+        idx_low(Number<0>{}) = idx_up[Number<0>{}] - left_pad_length_;
     }
 
     template <typename LowIdxDiff,
@@ -161,45 +164,46 @@ struct DynamicPad
     __host__ __device__ constexpr bool
     IsValidUpperIndexMappedToValidLowerIndex(const UpIdx& idx_up) const
     {
-        return SkipIsValidCheck || ((idx_up[Number<0>{}] >= left_pad_) &&
-                                    (idx_up[Number<0>{}] < up_lengths_[Number<0>{}] - right_pad_));
+        return SkipIsValidCheck ||
+               ((idx_up[Number<0>{}] >= left_pad_length_) &&
+                (idx_up[Number<0>{}] < up_lengths_[Number<0>{}] - right_pad_length_));
     }
 
     __host__ __device__ static constexpr bool IsKnownAtCompileTime()
     {
         return is_known_at_compile_time<UpLengths>::value &&
-               is_known_at_compile_time<LeftPad>::value &&
-               is_known_at_compile_time<RightPad>::value;
+               is_known_at_compile_time<LeftPadLength>::value &&
+               is_known_at_compile_time<RightPadLength>::value;
     }
 
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicPad, ");
+        printf("Pad, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
-        printf("left_pad_ %d", index_t{left_pad_});
-        printf("right_pad_ %d", index_t{right_pad_});
+        printf("left_pad_length %d", index_t{left_pad_length_});
+        printf("right_pad_length %d", index_t{right_pad_length_});
         printf("}");
     }
 };
 
-template <typename LowLength, typename LeftPad, bool SkipIsValidCheck = false>
-struct DynamicLeftPad
+template <typename LowLength, typename LeftPadLength, bool SkipIsValidCheck = false>
+struct LeftPad
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
 
-    using UpLengths = decltype(make_tuple(LowLength{} + LeftPad{}));
+    using UpLengths = decltype(make_tuple(LowLength{} + LeftPadLength{}));
 
     UpLengths up_lengths_;
-    LeftPad left_pad_;
+    LeftPadLength left_pad_length_;
 
-    __host__ __device__ constexpr DynamicLeftPad() = default;
+    __host__ __device__ constexpr LeftPad() = default;
 
-    __host__ __device__ constexpr DynamicLeftPad(const LowLength& low_length,
-                                                 const LeftPad& left_pad)
-        : up_lengths_{make_tuple(low_length + left_pad)}, left_pad_{left_pad}
+    __host__ __device__ constexpr LeftPad(const LowLength& low_length,
+                                          const LeftPadLength& left_pad_length)
+        : up_lengths_{make_tuple(low_length + left_pad_length)}, left_pad_length_{left_pad_length}
     {
     }
 
@@ -216,7 +220,7 @@ struct DynamicLeftPad
         static_assert(LowIdx::Size() == 1 && UpIdx::Size() == 1,
                       "wrong! inconsistent # of dimension");
 
-        idx_low(Number<0>{}) = idx_up[Number<0>{}] - left_pad_;
+        idx_low(Number<0>{}) = idx_up[Number<0>{}] - left_pad_length_;
     }
 
     template <typename LowIdxDiff,
@@ -252,45 +256,45 @@ struct DynamicLeftPad
     __host__ __device__ constexpr bool
     IsValidUpperIndexMappedToValidLowerIndex(const UpIdx& idx_up) const
     {
-        return SkipIsValidCheck || (idx_up[Number<0>{}] >= left_pad_);
+        return SkipIsValidCheck || (idx_up[Number<0>{}] >= left_pad_length_);
     }
 
     __host__ __device__ static constexpr bool IsKnownAtCompileTime()
     {
         return is_known_at_compile_time<UpLengths>::value &&
-               is_known_at_compile_time<LeftPad>::value;
+               is_known_at_compile_time<LeftPadLength>::value;
     }
 
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicLeftPad, ");
+        printf("LeftPad, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
-        printf("left_pad_ %d", index_t{left_pad_});
+        printf("left_pad_length_ %d", index_t{left_pad_length_});
         printf("}");
     }
 };
 
-template <typename LowLength, typename RightPad, bool SkipIsValidCheck = false>
-struct DynamicRightPad
+template <typename LowLength, typename RightPadLength, bool SkipIsValidCheck = false>
+struct RightPad
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
 
-    using UpLengths = decltype(make_tuple(LowLength{} + RightPad{}));
+    using UpLengths = decltype(make_tuple(LowLength{} + RightPadLength{}));
 
     UpLengths up_lengths_;
     LowLength low_length_;
-    RightPad right_pad_;
+    RightPadLength right_pad_length_;
 
-    __host__ __device__ constexpr DynamicRightPad() = default;
+    __host__ __device__ constexpr RightPad() = default;
 
-    __host__ __device__ constexpr DynamicRightPad(const LowLength& low_length,
-                                                  const RightPad& right_pad)
-        : up_lengths_{make_tuple(low_length + right_pad)},
+    __host__ __device__ constexpr RightPad(const LowLength& low_length,
+                                           const RightPadLength& right_pad_length)
+        : up_lengths_{make_tuple(low_length + right_pad_length)},
           low_length_{low_length},
-          right_pad_{right_pad}
+          right_pad_length_{right_pad_length}
     {
     }
 
@@ -350,17 +354,17 @@ struct DynamicRightPad
     {
         return is_known_at_compile_time<UpLengths>::value &&
                is_known_at_compile_time<LowLength>::value &&
-               is_known_at_compile_time<RightPad>::value;
+               is_known_at_compile_time<RightPadLength>::value;
     }
 
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicRightPad, ");
+        printf("RightPad, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
         printf("low_length_ %d", index_t{low_length_});
-        printf("left_pad_ %d", index_t{right_pad_});
+        printf("left_pad_length_ %d", index_t{right_pad_length_});
         printf("}");
     }
 };
@@ -373,8 +377,8 @@ struct DynamicRightPad
 //   at compile-time
 template <typename UpLengths,
           typename Coefficients,
-          typename std::enable_if<UpLengths::Size() == Coefficients::Size(), bool>::type = false>
-struct DynamicEmbed
+          typename enable_if<UpLengths::Size() == Coefficients::Size(), bool>::type = false>
+struct Embed
 {
     static constexpr index_t NDimUp = UpLengths::Size();
 
@@ -384,9 +388,9 @@ struct DynamicEmbed
     UpLengths up_lengths_;
     Coefficients coefficients_;
 
-    __host__ __device__ constexpr DynamicEmbed() = default;
+    __host__ __device__ constexpr Embed() = default;
 
-    __host__ __device__ constexpr DynamicEmbed(const UpLengths& up_lengths,
+    __host__ __device__ constexpr Embed(const UpLengths& up_lengths,
                                         const Coefficients& coefficients)
         : up_lengths_{up_lengths}, coefficients_{coefficients}
     {
@@ -458,7 +462,7 @@ struct DynamicEmbed
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicEmbed, ");
+        printf("Embed, ");
         printf("up_lengths_ ");
         print_multi_index(up_lengths_);
         printf("coefficients_ ");
@@ -470,30 +474,30 @@ struct DynamicEmbed
 // Implementation of "Merge" transformation primitive that uses regular to do lowering of
 // multi-index and use carry-and-borrow check to do lowering of multi-index delta
 template <typename LowLengths>
-struct DynamicMerge_v1_carry_check
+struct Merge_v1_carry_check
 {
     static constexpr index_t NDimLow = LowLengths::Size();
 
     using LowerIndex = MultiIndex<NDimLow>;
     using UpperIndex = MultiIndex<1>;
 
-    using LowLengthsScan = decltype(
-        container_reverse_exclusive_scan(LowLengths{}, math::multiplies_v2{}, Number<1>{}));
+    using LowLengthsScan =
+        decltype(container_reverse_exclusive_scan(LowLengths{}, math::multiplies{}, Number<1>{}));
 
     using UpLengths =
-        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies_v2{}, Number<1>{})));
+        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies{}, Number<1>{})));
 
     LowLengths low_lengths_;
     LowLengthsScan low_lengths_scan_;
     UpLengths up_lengths_;
 
-    __host__ __device__ constexpr DynamicMerge_v1_carry_check() = default;
+    __host__ __device__ constexpr Merge_v1_carry_check() = default;
 
-    __host__ __device__ constexpr DynamicMerge_v1_carry_check(const LowLengths& low_lengths)
+    __host__ __device__ constexpr Merge_v1_carry_check(const LowLengths& low_lengths)
         : low_lengths_{low_lengths},
           low_lengths_scan_{
-              container_reverse_exclusive_scan(low_lengths, math::multiplies_v2{}, Number<1>{})},
-          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies_v2{}, Number<1>{}))}
+              container_reverse_exclusive_scan(low_lengths, math::multiplies{}, Number<1>{})},
+          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies{}, Number<1>{}))}
     {
         static_assert(LowerIndex::Size() == NDimLow, "wrong!");
     }
@@ -555,7 +559,7 @@ struct DynamicMerge_v1_carry_check
         LowerIndex idx_low_length_minus_idx_diff_low_const;
         LowerIndex idx_low_length_plus_idx_diff_low_const;
 
-#if !CK_HACK_DYNAMIC_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
+#if !CK_HACK_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
         index_t tmp = idx_diff_up[Number<0>{}];
 
         static_for<0, NDimLow - 1, 1>{}([&](auto i) {
@@ -698,7 +702,7 @@ struct DynamicMerge_v1_carry_check
         LowerIndex idx_low_length_minus_idx_diff_low_const;
         LowerIndex idx_low_length_plus_idx_diff_low_const;
 
-#if !CK_HACK_DYNAMIC_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
+#if !CK_HACK_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
         index_t tmp = idx_diff_up[Number<0>{}];
 
         static_for<0, NDimLow - 1, 1>{}([&](auto i) {
@@ -838,7 +842,7 @@ struct DynamicMerge_v1_carry_check
         //   very expensive.
         LowerIndex idx_diff_low_const;
 
-#if !CK_HACK_DYNAMIC_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
+#if !CK_HACK_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
         index_t tmp = idx_diff_up[Number<0>{}];
 
         static_for<0, NDimLow - 1, 1>{}([&](auto i) {
@@ -981,7 +985,7 @@ struct DynamicMerge_v1_carry_check
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicMerge_v1_carry_check, ");
+        printf("Merge_v1_carry_check, ");
         printf("low_lengths_ ");
         print_multi_index(low_lengths_);
         printf("low_lengths_scan_ ");
@@ -1025,7 +1029,7 @@ struct lambda_merge_generate_MagicDivision_calculate_magic_shift
 //   5. When upper-index is int32_t type (when index_t is int32_t), its value need to be
 //   non-negative.
 template <typename LowLengths>
-struct DynamicMerge_v2_magic_division
+struct Merge_v2_magic_division
 {
     static constexpr index_t NDimLow = LowLengths::Size();
 
@@ -1033,7 +1037,7 @@ struct DynamicMerge_v2_magic_division
     using UpperIndex = MultiIndex<1>;
 
     using UpLengths =
-        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies_v2{}, Number<1>{})));
+        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies{}, Number<1>{})));
 
     using LowLengthsMagicDivisorMultipiler = decltype(
         generate_tuple(lambda_merge_generate_MagicDivision_calculate_magic_multiplier<LowLengths>{},
@@ -1048,9 +1052,9 @@ struct DynamicMerge_v2_magic_division
     LowLengthsMagicDivisorShift low_lengths_magic_divisor_shift_;
     UpLengths up_lengths_;
 
-    __host__ __device__ constexpr DynamicMerge_v2_magic_division() = default;
+    __host__ __device__ constexpr Merge_v2_magic_division() = default;
 
-    __host__ __device__ constexpr DynamicMerge_v2_magic_division(const LowLengths& low_lengths)
+    __host__ __device__ constexpr Merge_v2_magic_division(const LowLengths& low_lengths)
         : low_lengths_{low_lengths},
           low_lengths_magic_divisor_multiplier_{generate_tuple(
               [&](auto i) { return MagicDivision::CalculateMagicMultiplier(low_lengths[i]); },
@@ -1058,7 +1062,7 @@ struct DynamicMerge_v2_magic_division
           low_lengths_magic_divisor_shift_{generate_tuple(
               [&](auto i) { return MagicDivision::CalculateMagicShift(low_lengths[i]); },
               Number<NDimLow>{})},
-          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies_v2{}, Number<1>{}))}
+          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies{}, Number<1>{}))}
     {
         static_assert(LowerIndex::Size() == NDimLow, "wrong!");
     }
@@ -1151,7 +1155,7 @@ struct DynamicMerge_v2_magic_division
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicMerge_v2_magic_division, ");
+        printf("Merge_v2_magic_division, ");
         printf("low_lengths_ ");
         print_multi_index(low_lengths_);
         printf("low_lengths_magic_divisor_multiplier_ ");
@@ -1177,18 +1181,18 @@ struct DynamicMerge_v2_magic_division
 //   5. When upper-index is int32_t type (when index_t is int32_t), its value need to be
 //   non-negative.
 template <typename LowLengths>
-struct DynamicMerge_v2r2_magic_division
+struct Merge_v2r2_magic_division
 {
     static constexpr index_t NDimLow = LowLengths::Size();
 
     using LowerIndex = MultiIndex<NDimLow>;
     using UpperIndex = MultiIndex<1>;
 
-    using LowLengthsScan = decltype(
-        container_reverse_exclusive_scan(LowLengths{}, math::multiplies_v2{}, Number<1>{}));
+    using LowLengthsScan =
+        decltype(container_reverse_exclusive_scan(LowLengths{}, math::multiplies{}, Number<1>{}));
 
     using UpLengths =
-        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies_v2{}, Number<1>{})));
+        decltype(make_tuple(container_reduce(LowLengths{}, math::multiplies{}, Number<1>{})));
 
     using LowLengthsScanMagicDivisorMultipiler = decltype(generate_tuple(
         lambda_merge_generate_MagicDivision_calculate_magic_multiplier<LowLengthsScan>{},
@@ -1204,19 +1208,19 @@ struct DynamicMerge_v2r2_magic_division
     LowLengthsScanMagicDivisorShift low_lengths_scan_magic_divisor_shift_;
     UpLengths up_lengths_;
 
-    __host__ __device__ constexpr DynamicMerge_v2r2_magic_division() = default;
+    __host__ __device__ constexpr Merge_v2r2_magic_division() = default;
 
-    __host__ __device__ constexpr DynamicMerge_v2r2_magic_division(const LowLengths& low_lengths)
+    __host__ __device__ constexpr Merge_v2r2_magic_division(const LowLengths& low_lengths)
         : low_lengths_{low_lengths},
           low_lengths_scan_{
-              container_reverse_exclusive_scan(low_lengths, math::multiplies_v2{}, Number<1>{})},
+              container_reverse_exclusive_scan(low_lengths, math::multiplies{}, Number<1>{})},
           low_lengths_scan_magic_divisor_multiplier_{generate_tuple(
               [&](auto i) { return MagicDivision::CalculateMagicMultiplier(low_lengths_scan_[i]); },
               Number<NDimLow>{})},
           low_lengths_scan_magic_divisor_shift_{generate_tuple(
               [&](auto i) { return MagicDivision::CalculateMagicShift(low_lengths_scan_[i]); },
               Number<NDimLow>{})},
-          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies_v2{}, Number<1>{}))}
+          up_lengths_{make_tuple(container_reduce(low_lengths, math::multiplies{}, Number<1>{}))}
     {
         static_assert(LowerIndex::Size() == NDimLow, "wrong!");
     }
@@ -1308,7 +1312,7 @@ struct DynamicMerge_v2r2_magic_division
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicMerge_v2r2_magic_division, ");
+        printf("Merge_v2r2_magic_division, ");
         printf("low_lengths_ ");
         print_multi_index(low_lengths_);
         printf("low_lengths_scan ");
@@ -1324,7 +1328,7 @@ struct DynamicMerge_v2r2_magic_division
 };
 
 template <typename UpLengths, bool Use24BitIntegerCalculation>
-struct DynamicUnMerge
+struct UnMerge
 {
     static constexpr index_t NDimUp = UpLengths::Size();
 
@@ -1332,17 +1336,17 @@ struct DynamicUnMerge
     using UpperIndex = MultiIndex<NDimUp>;
 
     using UpLengthsScan =
-        decltype(container_reverse_exclusive_scan(UpLengths{}, math::multiplies_v2{}, Number<1>{}));
+        decltype(container_reverse_exclusive_scan(UpLengths{}, math::multiplies{}, Number<1>{}));
 
     UpLengths up_lengths_;
     UpLengthsScan up_lengths_scan_;
 
-    __host__ __device__ constexpr DynamicUnMerge() = default;
+    __host__ __device__ constexpr UnMerge() = default;
 
-    __host__ __device__ constexpr DynamicUnMerge(const UpLengths& up_lengths)
+    __host__ __device__ constexpr UnMerge(const UpLengths& up_lengths)
         : up_lengths_{up_lengths},
           up_lengths_scan_{
-              container_reverse_exclusive_scan(up_lengths, math::multiplies_v2{}, Number<1>{})}
+              container_reverse_exclusive_scan(up_lengths, math::multiplies{}, Number<1>{})}
     {
     }
 
@@ -1414,7 +1418,7 @@ struct DynamicUnMerge
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicUnMerge, ");
+        printf("UnMerge, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
         printf("up_lengths_scan_");
@@ -1424,13 +1428,13 @@ struct DynamicUnMerge
 };
 
 template <typename LowerIndex>
-struct DynamicFreeze
+struct Freeze
 {
     LowerIndex low_idx_;
 
-    __host__ __device__ constexpr DynamicFreeze() = default;
+    __host__ __device__ constexpr Freeze() = default;
 
-    __host__ __device__ constexpr DynamicFreeze(const LowerIndex& low_idx) : low_idx_{low_idx} {}
+    __host__ __device__ constexpr Freeze(const LowerIndex& low_idx) : low_idx_{low_idx} {}
 
     __host__ __device__ static constexpr index_t GetNumOfLowerDimension() { return 1; }
 
@@ -1483,22 +1487,22 @@ struct DynamicFreeze
 
     __host__ __device__ void Print() const
     {
-        printf("DynamicFreeze");
+        printf("Freeze");
         printf("low_idx_ %d", index_t{low_idx_});
     }
 };
 
 // Insert a dangling upper dimension without lower dimension
 template <typename UpperLength>
-struct DynamicInsert
+struct Insert
 {
     using UpLengths = decltype(make_tuple(UpperLength{}));
 
     UpLengths up_lengths_;
 
-    __host__ __device__ constexpr DynamicInsert() = default;
+    __host__ __device__ constexpr Insert() = default;
 
-    __host__ __device__ constexpr DynamicInsert(const UpperLength& up_length)
+    __host__ __device__ constexpr Insert(const UpperLength& up_length)
         : up_lengths_{make_tuple(up_length)}
     {
     }
@@ -1550,13 +1554,13 @@ struct DynamicInsert
 
     __host__ __device__ void Print() const
     {
-        printf("DynamicInsert");
+        printf("Insert");
         print_multi_index(up_lengths_);
     }
 };
 
 template <typename VectorSize, typename UpLength>
-struct DynamicVectorize
+struct Vectorize
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
@@ -1566,9 +1570,9 @@ struct DynamicVectorize
     UpLengths up_lengths_;
     VectorSize vector_size_;
 
-    __host__ __device__ constexpr DynamicVectorize() = default;
+    __host__ __device__ constexpr Vectorize() = default;
 
-    __host__ __device__ constexpr DynamicVectorize(const VectorSize& vector_size,
+    __host__ __device__ constexpr Vectorize(const VectorSize& vector_size,
                                             const UpLength& up_length)
         : vector_size_{vector_size}, up_lengths_{make_tuple(up_length)}
     {
@@ -1633,7 +1637,7 @@ struct DynamicVectorize
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicVectorize, ");
+        printf("Vectorize, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
         printf("}");
@@ -1641,7 +1645,7 @@ struct DynamicVectorize
 };
 
 template <typename LowLength, typename SliceBegin, typename SliceEnd>
-struct DynamicSlice
+struct Slice
 {
     using LowerIndex = MultiIndex<1>;
     using UpperIndex = MultiIndex<1>;
@@ -1652,9 +1656,9 @@ struct DynamicSlice
     SliceBegin slice_begin_;
     SliceEnd slice_end_;
 
-    __host__ __device__ constexpr DynamicSlice() = default;
+    __host__ __device__ constexpr Slice() = default;
 
-    __host__ __device__ constexpr DynamicSlice(const LowLength&,
+    __host__ __device__ constexpr Slice(const LowLength&,
                                         const SliceBegin& slice_begin,
                                         const SliceEnd& slice_end)
         : up_lengths_{make_tuple(slice_end - slice_begin)},
@@ -1724,7 +1728,7 @@ struct DynamicSlice
     __host__ __device__ void Print() const
     {
         printf("{");
-        printf("DynamicSlice, ");
+        printf("Slice, ");
         printf("up_lengths_");
         print_multi_index(up_lengths_);
         printf("slice_begin_ %d", index_t{slice_begin_});