macos + clang build

CMakeLists.txt

@@ -168,18 +168,6 @@ IF(BUILD_ORT)
     ENDIF()
 ENDIF()
 
-#----------------------------------------------------------------------------------------------
-
-IF (APPLE)
-    FIND_LIBRARY(MKL_LIBRARIES NAMES mklml
-            PATHS ${depsAbs}/mkl/lib)
-    IF (NOT MKL_LIBRARIES)
-        MESSAGE(FATAL_ERROR "Could not find MKL for Mac")
-    ENDIF()
-    SET(platDeps "${MKL_LIBRARIES}")
-ENDIF()
-
-#----------------------------------------------------------------------------------------------
 
 IF(BUILD_TFLITE)
     # Find TensorFlow Lite stuff and build our wrapper
@@ -307,14 +295,6 @@ IF(BUILD_ORT)
             FILES_MATCHING PATTERN ${LIB_PATTERN})
 ENDIF()
 
-#----------------------------------------------------------------------------------------------
-
-IF (APPLE)
-    INSTALL(DIRECTORY ${depsAbs}/mkl/lib DESTINATION ${installAbs}/backends/redisai_torch
-            FILES_MATCHING PATTERN ${LIB_PATTERN})
-ENDIF()
-
-#----------------------------------------------------------------------------------------------
 
 IF (NOT ${installAbs} STREQUAL ${CMAKE_SOURCE_DIR}/install-${DEVICE})
     INSTALL_SYMLINK(${installAbs} ${CMAKE_SOURCE_DIR}/install-${DEVICE})

get_deps.sh

@@ -144,8 +144,16 @@ if [[ $OS == linux ]]; then
     else
         echo "Only x64 is supported currently"
     fi
-else
-    echo "Only Linux OS is supported currently"
+elif [[ $OS == macos ]]; then
+    TF_OS=darwin
+    TF_BUILD=cpu
+    TF_ARCH=x86_64
+    if [[ $WITH_TF == S3 ]]; then
+        LIBTF_URL_BASE=https://s3.amazonaws.com/redismodules/tensorflow
+    else
+        LIBTF_URL_BASE=https://storage.googleapis.com/tensorflow/libtensorflow
+    fi
+
 fi
 
 LIBTF_ARCHIVE=libtensorflow-${TF_BUILD}-${TF_OS}-${TF_ARCH}-${TF_VERSION}.tar.gz
@@ -163,11 +171,11 @@ if [[ $OS == linux ]]; then
     TFLITE_OS="linux"
     if [[ $ARCH == x64 ]]; then
         TFLITE_ARCH=x86_64
-    else
-        echo "Only x64 is supported currently"
     fi
-else
-    echo "Only Linux OS is supported currently"
+elif [[ $OS == macos ]]; then
+        TFLITE_OS=darwin
+        # TFLITE_BUILD=cpu
+        TFLITE_ARCH=x86_64
 fi
 
 LIBTFLITE_ARCHIVE=libtensorflowlite-${TFLITE_OS}-${TFLITE_ARCH}-${TFLITE_VERSION}.tar.gz
@@ -191,15 +199,17 @@ if [[ $OS == linux ]]; then
     else
         echo "Only x64 is supported currently"
     fi
-else
-    echo "Only Linux OS is supported currently"
+    LIBTORCH_ARCHIVE=libtorch-cxx11-abi-shared-with-deps-${PT_VERSION}%2B${PT_BUILD}.zip
+
+elif [[ $OS == macos ]]; then
+    PT_OS=macos
+    PT_ARCH=x86_64
+    PT_BUILD=cpu
+    PT_REPACK=1
+    LIBTORCH_ARCHIVE=libtorch-macos-${PT_VERSION}.zip
 fi
 
-if [[ $GPU != 1 ]]; then
-  LIBTORCH_ARCHIVE=libtorch-cxx11-abi-shared-with-deps-${PT_VERSION}%2B${PT_BUILD}.zip
-else
-  LIBTORCH_ARCHIVE=libtorch-cxx11-abi-shared-with-deps-${PT_VERSION}%2B${PT_BUILD}.zip
-fi
+
 LIBTORCH_URL=https://download.pytorch.org/libtorch/$PT_BUILD/$LIBTORCH_ARCHIVE
 
 if [[ $WITH_PT != 0 ]]; then
@@ -222,8 +232,11 @@ if [[ $OS == linux ]]; then
     else
         echo "Only x64 is supported currently"
     fi
-else
-    echo "Only Linux OS is supported currently"
+elif [[ $OS == macos ]]; then
+    ORT_OS=osx
+    ORT_ARCH=x64
+    ORT_BUILD=""
+    ORT_URL_BASE=https://github.com/microsoft/onnxruntime/releases/download/v${ORT_VERSION}
 fi
 
 ORT_ARCHIVE=onnxruntime-${ORT_OS}-${ORT_ARCH}${ORT_BUILD}-${ORT_VERSION}.tgz

opt/redis_valgrind.sup

@@ -184,4 +184,11 @@
    ...
    fun:_dl_catch_exception
    ...
-}
+}
+
+{
+   <ignore_torch_cond_jump>
+   Memcheck:Cond
+   ...
+   obj:*/libtorch_cpu.so*
+}

src/redisai.c

@@ -736,10 +736,11 @@ int RedisAI_ScriptStore_RedisCommand(RedisModuleCtx *ctx, RedisModuleString **ar
             ctx, "ERR Insufficient arguments, missing script entry points");
     }
 
-    array_new_on_stack(const char *, nEntryPoints, entryPoints);
+    const char **entryPoints = array_new(const char *, nEntryPoints);
     for (size_t i = 0; i < nEntryPoints; i++) {
         const char *entryPoint;
         if (AC_GetString(&ac, &entryPoint, NULL, 0) != AC_OK) {
+            array_free(entryPoints);
             return RedisModule_ReplyWithError(
                 ctx, "ERR Insufficient arguments, missing script entry points");
         }
@@ -754,6 +755,7 @@ int RedisAI_ScriptStore_RedisCommand(RedisModuleCtx *ctx, RedisModuleString **ar
     }
 
     if (scriptdef == NULL) {
+        array_free(entryPoints);
         return RedisModule_ReplyWithError(ctx, "ERR Insufficient arguments, missing script SOURCE");
     }
 
@@ -767,6 +769,7 @@ int RedisAI_ScriptStore_RedisCommand(RedisModuleCtx *ctx, RedisModuleString **ar
                         "Backend TORCH not loaded, will try loading default backend");
         int ret = RAI_LoadDefaultBackend(ctx, RAI_BACKEND_TORCH);
         if (ret == REDISMODULE_ERR) {
+            array_free(entryPoints);
             RedisModule_Log(ctx, "warning", "Could not load TORCH default backend");
             int ret = RedisModule_ReplyWithError(ctx, "ERR Could not load backend");
             RAI_ClearError(&err);
@@ -776,7 +779,7 @@ int RedisAI_ScriptStore_RedisCommand(RedisModuleCtx *ctx, RedisModuleString **ar
         script =
             RAI_ScriptCompile(devicestr, tag, scriptdef, entryPoints, (size_t)nEntryPoints, &err);
     }
-
+    array_free(entryPoints);
     if (err.code != RAI_OK) {
         int ret = RedisModule_ReplyWithError(ctx, err.detail_oneline);
         RAI_ClearError(&err);