VM compiler. (apache#18)

* VM compiler.

* Update.

* Compile IRmodule; expose Python api

* Add dtype contant serialization and type hint.

* Address comments.

* Add todos and fix lint.

* Update

* Update.

Author: YuchenJin

include/tvm/relax/attrs/memory.h

@@ -0,0 +1,63 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file tvm/relax/attrs/memory.h
+ * \brief Attributes for memory operators.
+ */
+#ifndef TVM_RELAX_ATTRS_MEMORY_H_
+#define TVM_RELAX_ATTRS_MEMORY_H_
+
+#include <tvm/ir/attrs.h>
+
+namespace tvm {
+namespace relax {
+/*!
+ * \brief Options for allocating storage.
+ */
+struct AllocStorageAttrs : public tvm::AttrsNode<AllocStorageAttrs> {
+  DataType dtype;
+  int device_id;
+  int device_type;
+
+  TVM_DECLARE_ATTRS(AllocStorageAttrs, "relax.attrs.AllocStorageAttrs") {
+    TVM_ATTR_FIELD(dtype)
+        .describe("The dtype of the tensor to allocate.")
+        .set_default(DataType::Float(32, 1));
+    TVM_ATTR_FIELD(device_id).describe("The device id on which to allocate memory.");
+    TVM_ATTR_FIELD(device_type).describe("The device type on which to allocate memory.");
+  }
+};
+
+/*!
+ * \brief Options for allocating tensors.
+ */
+struct AllocTensorAttrs : public tvm::AttrsNode<AllocTensorAttrs> {
+  DataType dtype;
+
+  TVM_DECLARE_ATTRS(AllocTensorAttrs, "relax.attrs.AllocTensorAttrs") {
+    TVM_ATTR_FIELD(dtype)
+        .describe("The dtype of the tensor to allocate.")
+        .set_default(DataType::Float(32, 1));
+  }
+};
+
+}  // namespace relax
+}  // namespace tvm
+#endif  // TVM_RELAX_ATTRS_MEMORY_H_

include/tvm/relax/op_attr_types.h

@@ -43,7 +43,8 @@ using relay::Call;
  * \param diag_ctx The diagnostic context for reporting errors.
  * \return The inferred output shape expression.
  */
-using FInferShape = runtime::TypedPackedFunc<Optional<RelayExpr>(const Call& call, DiagnosticContext diag_ctx)>;
+using FInferShape =
+    runtime::TypedPackedFunc<Optional<RelayExpr>(const Call& call, DiagnosticContext diag_ctx)>;
 
 /*!
  * \brief Infer the output type for operators. This function will

include/tvm/relax/vm/exec_builder.h

@@ -21,8 +21,8 @@
  * \file tvm/relax/vm/exec_builder.h
  * \brief
  */
-#ifndef TVM_RELAX_EXEC_BUILDER_H_
-#define TVM_RELAX_EXEC_BUILDER_H_
+#ifndef TVM_RELAX_VM_EXEC_BUILDER_H_
+#define TVM_RELAX_VM_EXEC_BUILDER_H_
 
 #include <tvm/ir/expr.h>
 #include <tvm/node/reflection.h>
@@ -52,7 +52,7 @@ class ExecBuilderNode : public Object {
    * \param func The function name.
    * \param num_inputs The number of inputs.
    */
-  void Function(std::string func, int64_t num_inputs);
+  void EmitFunction(std::string func, int64_t num_inputs);
   /*!
    * \brief Emit a call instruction for a packed function.
    * \param func The packed function name.
@@ -69,7 +69,7 @@ class ExecBuilderNode : public Object {
    * \brief Emit a constant value to the constant pool.
    * \return The index that represents the constant.
    */
-  vm::Index EmitConstant(ObjectRef obj);
+  vm::Index EmitConstant(TVMRetValue obj);
   /*!
    * \brief Get the built executable.
    * \return The built executable.
@@ -102,4 +102,4 @@ class ExecBuilder : public ObjectRef {
 }  // namespace relax
 }  // namespace tvm
 
-#endif  // TVM_RELAX_EXEC_BUILDER_H_
+#endif  // TVM_RELAX_VM_EXEC_BUILDER_H_

include/tvm/relax/vm/executable.h

@@ -103,7 +103,7 @@ class ExecutableNode : public Object {
   /*! \brief A map from globals (as strings) to their index in the function map. */
   std::unordered_map<std::string, Index> global_map;
   /*! \brief The global constant pool. */
-  std::vector<ObjectRef> constants;
+  std::vector<TVMRetValue> constants;
   /*! \brief The name of packed functions. */
   std::vector<std::string> func_names;
   /*! \brief A mapping from the packed function (as string) to the index that

python/tvm/relax/__init__.py

@@ -24,6 +24,7 @@
 from . import parser
 from . import analysis
 from . import transform
+from . import vm_compiler
 
 
 # Expr
@@ -61,9 +62,11 @@
 ExecBuilder = exec_builder.ExecBuilder
 VirtualMachine = vm.VirtualMachine
 load_exec_from_file = vm.load_exec_from_file
+compile = vm_compiler.compile
 
 # Operator
 from .op.base import call_dps
+from .op.op_attrs import AllocStorageAttrs, AllocTensorAttrs
 
 # IRBuilder
 IRBuilder = ir_builder.IRBuilder

python/tvm/relax/base.py

@@ -80,7 +80,7 @@ def emit_call(self, name, args=[], dst=None):
             dst = SpecialReg.VOID_ARG
         args_ = []
         for arg in args:
-            if isinstance(arg, tvm.nd.NDArray):
+            if isinstance(arg, tvm.nd.NDArray) or isinstance(arg, tvm.DataType):
                 new_arg = self.emit_constant(arg)
                 args_.append(new_arg)
             else:

python/tvm/relax/exec_builder.py

@@ -20,3 +20,4 @@
 # Operators
 from .base import *
 from .tensor import *
+from .op_attrs import *

python/tvm/relax/op/__init__.py

@@ -0,0 +1,28 @@
+# 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.
+"""The attributes node used for Relax operators"""
+from tvm.ir import Attrs
+import tvm._ffi
+
+@tvm._ffi.register_object("relax.attrs.AllocStorageAttrs")
+class AllocStorageAttrs(Attrs):
+    """Attributes used in alloc_storage operators"""
+
+
+@tvm._ffi.register_object("relax.attrs.AllocTensorAttrs")
+class AllocTensorAttrs(Attrs):
+    """Attributes used in alloc_tensor operators"""

python/tvm/relax/op/op_attrs.py

@@ -1,3 +1,20 @@
+# 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.
+
 from __future__ import annotations
 
 import inspect