[pre-RFC][BYOC] Marvell ML/AI Accelerator Integration

CMakeLists.txt

@@ -46,6 +46,7 @@ tvm_option(USE_RELAY_DEBUG "Building Relay in debug mode..." OFF)
 tvm_option(USE_RTTI "Build with RTTI" ON)
 tvm_option(USE_MSVC_MT "Build with MT" OFF)
 tvm_option(USE_MICRO "Build with Micro TVM support" OFF)
+tvm_option(USE_MRVL "Build with MRVL TVM support" OFF)
 tvm_option(INSTALL_DEV "Install compiler infrastructure" OFF)
 tvm_option(HIDE_PRIVATE_SYMBOLS "Compile with -fvisibility=hidden." OFF)
 tvm_option(USE_TF_TVMDSOOP "Build with TensorFlow TVMDSOOp" OFF)
@@ -455,6 +456,7 @@ include(cmake/modules/contrib/ArmComputeLib.cmake)
 include(cmake/modules/contrib/TensorRT.cmake)
 include(cmake/modules/contrib/VitisAI.cmake)
 include(cmake/modules/contrib/Verilator.cmake)
+include(cmake/modules/contrib/Mrvl.cmake)
 include(cmake/modules/Git.cmake)
 include(cmake/modules/LibInfo.cmake)
 include(cmake/modules/RustExt.cmake)

cmake/modules/LibInfo.cmake

@@ -83,6 +83,7 @@ function(add_lib_info src_file)
     TVM_INFO_USE_TARGET_ONNX="${USE_TARGET_ONNX}"
     TVM_INFO_USE_ARM_COMPUTE_LIB="${USE_ARM_COMPUTE_LIB}"
     TVM_INFO_USE_ARM_COMPUTE_LIB_GRAPH_EXECUTOR="${USE_ARM_COMPUTE_LIB_GRAPH_EXECUTOR}"
+    TVM_INFO_USE_MRVL="${USE_MRVL}"
     TVM_INFO_INDEX_DEFAULT_I64="${INDEX_DEFAULT_I64}"
     TVM_CXX_COMPILER_PATH="${CMAKE_CXX_COMPILER}"
   )

cmake/modules/contrib/Mrvl.cmake

@@ -0,0 +1,56 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+include(ExternalProject)
+
+if(USE_MRVL)
+  IF (MRVL_COMPILER_LIB_PATH)
+    add_definitions(-DTVM_USE_MRVL_COMPILER_LIB=1)
+    # copy 3 pre-built static lib files of Marvell compiler-backend
+    #   under the MRVL_COMPILER_LIB_PATH directory
+    file(COPY ${MRVL_COMPILER_LIB_PATH}/libmrvlcompiler.a
+      DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
+    file(COPY ${MRVL_COMPILER_LIB_PATH}/libml.a
+      DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
+    file(COPY ${MRVL_COMPILER_LIB_PATH}/libnum.a
+      DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
+    file(COPY ${MRVL_COMPILER_LIB_PATH}/libisa.a
+      DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
+    file(GLOB MRVL_RUNTIME_LIB
+      ${CMAKE_CURRENT_BINARY_DIR}/libmrvlcompiler.a
+      ${CMAKE_CURRENT_BINARY_DIR}/libml.a
+      ${CMAKE_CURRENT_BINARY_DIR}/libisa.a
+      ${CMAKE_CURRENT_BINARY_DIR}/libnum.a
+    )
+    # FIXME: list(APPEND TVM_LINKER_LIBS ${MRVL_LIB})
+    message(STATUS "Build with 4 Mrvl lib *.a files: ${MRVL_RUNTIME_LIB}")
+    list(APPEND TVM_RUNTIME_LINKER_LIBS ${MRVL_RUNTIME_LIB})
+  ENDIF (MRVL_COMPILER_LIB_PATH) 
+
+  # Mrvl Module
+  message(STATUS "Build with Mrvl support")
+  add_definitions(-DTVM_USE_MRVL=1)
+  # FIXME: find_livrary(MRVL_LIB Mrvl)
+  # FIXME: find_livrary(MRVL_RUNTIME_LIB Mrvl_runtime)
+  file(GLOB RUNTIME_MRVL_SRCS
+    src/relay/backend/contrib/mrvl/graph_executor_codegen_mrvl.cc
+    src/relay/backend/contrib/mrvl/codegen.cc
+    src/relay/backend/contrib/mrvl/drop_noop_transpose.cc
+    src/runtime/contrib/mrvl/mrvl_runtime.cc
+  )
+  list(APPEND RUNTIME_SRCS ${RUNTIME_MRVL_SRCS})
+
+endif(USE_MRVL)

include/tvm/ir/expr.h

@@ -155,6 +155,15 @@ class RelayExprNode : public BaseExprNode {
    * \return The checked_type
    */
   inline const Type& checked_type() const;
+
+  /*!
+   * \brief members to identify an expr node
+   */
+  static int64_t _global_en_id;
+  mutable int64_t en_id;
+  RelayExprNode() { en_id = _global_en_id++; }
+  inline int64_t get_en_id() const { return en_id; }
+
   /*!
    * \brief Check if the inferred(checked) type of the Expr
    *  is backed by a TTypeNode and return it.

include/tvm/ir/op.h

@@ -196,6 +196,18 @@ class Op : public RelayExpr {
    */
   TVM_DLL static const Op& Get(const String& op_name);
 
+  /*!
+   * \brief list all registered op names
+   */
+  TVM_DLL static void ListAllOpNames();
+
+  /*!
+   * \brief get the name of an op, if it is registered.
+   * \param op Obj of an op
+   * \return op name in String, if it is registered.
+   */
+  TVM_DLL static String GetOpName(const Op& op);
+
   /*! \brief specify container node */
   using ContainerType = OpNode;
 

include/tvm/relay/expr.h

@@ -107,6 +107,7 @@ class TupleNode : public ExprNode {
   tvm::Array<relay::Expr> fields;
 
   void VisitAttrs(tvm::AttrVisitor* v) {
+    v->Visit("en_id", &en_id);
     v->Visit("fields", &fields);
     v->Visit("span", &span);
     v->Visit("_checked_type_", &checked_type_);
@@ -315,6 +316,7 @@ class CallNode : public ExprNode {
   tvm::Array<Type> type_args;
 
   void VisitAttrs(tvm::AttrVisitor* v) {
+    v->Visit("en_id", &en_id);
     v->Visit("op", &op);
     v->Visit("args", &args);
     v->Visit("attrs", &attrs);

python/tvm/driver/tvmc/composite_target.py

@@ -29,6 +29,7 @@
 from tvm.relay.op.contrib.ethosu import partition_for_ethosu
 from tvm.relay.op.contrib.bnns import partition_for_bnns
 from tvm.relay.op.contrib.vitis_ai import partition_for_vitis_ai
+from tvm.relay.op.contrib.mrvl import partition_for_mrvl
 
 
 from .common import TVMCException
@@ -76,6 +77,10 @@
         "config_key": "relay.ext.vitis_ai.options",
         "pass_pipeline": partition_for_vitis_ai,
     },
+    "mrvl": {
+        "config_key": "relay.ext.mrvl.options",
+        "pass_pipeline": partition_for_mrvl,
+    },
 }
 
 

python/tvm/relay/backend/executor_factory.py

@@ -164,6 +164,7 @@ def __init__(
         libmod_name,
         params,
         function_metadata,
+        external_graph_json_str=None,
     ):
         assert isinstance(graph_json_str, string_types)
         fcreate = get_global_func("tvm.graph_executor_factory.create")
@@ -177,6 +178,7 @@ def __init__(
         self.executor = executor
         self.module = fcreate(graph_json_str, libmod, libmod_name, *args)
         self.graph_json = graph_json_str
+        self.external_graph_json = external_graph_json_str
         self.lib = libmod
         self.libmod_name = libmod_name
         self.params = params
@@ -198,5 +200,8 @@ def get_graph_json(self):
     def get_executor_config(self):
         return self.graph_json
 
+    def get_external_graph_json(self):
+        return self.external_graph_json
+
     def get_lib(self):
         return self.lib

python/tvm/relay/build_module.py

@@ -95,6 +95,7 @@ class BuildModule(object):
     def __init__(self):
         self.mod = _build_module._BuildModule()
         self._get_graph_json = self.mod["get_graph_json"]
+        self._get_external_graph_json = self.mod["get_external_graph_json"]
         self._get_module = self.mod["get_module"]
         self._build = self.mod["build"]
         self._optimize = self.mod["optimize"]
@@ -193,8 +194,11 @@ def build(
         mod = self.get_module()
         params = self.get_params()
         executor_config = self.get_graph_json() if str(executor) == "graph" else None
+        external_executor_config = (
+            self.get_external_graph_json() if str(executor) == "graph" else None
+        )
 
-        return executor_config, mod, params
+        return executor_config, mod, params, external_executor_config
 
     def optimize(self, mod, target=None, params=None):
         """
@@ -238,6 +242,10 @@ def get_graph_json(self):
         """Return the json file of the built program."""
         return self._get_graph_json()
 
+    def get_external_graph_json(self):
+        """Return the external json file of the built program."""
+        return self._get_external_graph_json()
+
     def get_module(self):
         """Return the built module."""
         return self._get_module()
@@ -446,7 +454,7 @@ def build(
 
     with tophub_context:
         bld_mod = BuildModule()
-        graph_json, runtime_mod, params = bld_mod.build(
+        graph_json, runtime_mod, params, external_graph_json = bld_mod.build(
             mod=ir_mod,
             target=target,
             params=params,
@@ -472,7 +480,15 @@ def build(
             )
         elif str(executor) == "graph":
             executor_factory = _executor_factory.GraphExecutorFactoryModule(
-                ir_mod, target, executor, graph_json, runtime_mod, mod_name, params, func_metadata
+                ir_mod,
+                target,
+                executor,
+                graph_json,
+                runtime_mod,
+                mod_name,
+                params,
+                func_metadata,
+                external_graph_json,
             )
         else:
             assert False, "Executor " + executor + " not supported"

python/tvm/relay/op/contrib/__init__.py

@@ -25,3 +25,4 @@
 from .ethosn import *
 from .tensorrt import *
 from .cutlass import *
+from .mrvl import *