chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,169 @@
|
||||
# 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.
|
||||
"""TVM Attribute module, which is mainly used for defining attributes of operators."""
|
||||
|
||||
import tvm_ffi
|
||||
import tvm_ffi._ffi_api as _tvm_ffi_api
|
||||
|
||||
from tvm.runtime import Object
|
||||
|
||||
from . import _ffi_api
|
||||
|
||||
|
||||
@tvm_ffi.register_object("ir.Attrs")
|
||||
class Attrs(Object):
|
||||
"""Attribute node, which is mainly use for defining attributes of operators.
|
||||
|
||||
Used by function registered in python side, such as compute, schedule and alter_layout.
|
||||
Attrs is passed as the first argument to these functions.
|
||||
"""
|
||||
|
||||
def get_int_tuple(self, key):
|
||||
"""Get a python int tuple of a key
|
||||
|
||||
Parameters
|
||||
----------
|
||||
key: str
|
||||
|
||||
Returns
|
||||
-------
|
||||
value: Tuple of int
|
||||
"""
|
||||
return tuple(x if isinstance(x, int) else x.value for x in getattr(self, key))
|
||||
|
||||
def get_int(self, key):
|
||||
"""Get a python int value of a key
|
||||
|
||||
Parameters
|
||||
----------
|
||||
key: str
|
||||
|
||||
Returns
|
||||
-------
|
||||
value: int
|
||||
"""
|
||||
return getattr(self, key)
|
||||
|
||||
def get_str(self, key):
|
||||
"""Get a python int value of a key
|
||||
|
||||
Parameters
|
||||
----------
|
||||
key: str
|
||||
|
||||
Returns
|
||||
-------
|
||||
value: int
|
||||
"""
|
||||
return getattr(self, key)
|
||||
|
||||
def __getitem__(self, item):
|
||||
return getattr(self, item)
|
||||
|
||||
|
||||
@tvm_ffi.register_object("ir.DictAttrs")
|
||||
class DictAttrs(Attrs):
|
||||
"""Dictionary attributes."""
|
||||
|
||||
@property
|
||||
def __dict__(self):
|
||||
"""Return the underlying key-value map as a Python dict.
|
||||
|
||||
Defined explicitly so that tvm_ffi's _add_class_attrs skips registering
|
||||
the C++ reflection field named '__dict__' (Python forbids adding a class
|
||||
attribute named '__dict__' via setattr on extension-type subclasses).
|
||||
"""
|
||||
return dict(self._dict())
|
||||
|
||||
def _dict(self):
|
||||
"""Get internal dict"""
|
||||
return _ffi_api.DictAttrsGetDict(self)
|
||||
|
||||
def keys(self):
|
||||
"""Get list of names in the attribute.
|
||||
|
||||
Returns
|
||||
-------
|
||||
keys : list of str
|
||||
List of keys
|
||||
"""
|
||||
return [k for k, _ in self.items()]
|
||||
|
||||
def __getitem__(self, k):
|
||||
return self._dict().__getitem__(k)
|
||||
|
||||
def get(self, key, default=None):
|
||||
"""Get an element with a default value."""
|
||||
return self._dict().get(key, default)
|
||||
|
||||
def __contains__(self, k):
|
||||
return self._dict().__contains__(k)
|
||||
|
||||
def __getattr__(self, name):
|
||||
try:
|
||||
return self._dict().__getitem__(name)
|
||||
except KeyError:
|
||||
raise AttributeError(f"DictAttrs has no attribute {name}")
|
||||
|
||||
def items(self):
|
||||
"""Get items from the map."""
|
||||
return self._dict().items()
|
||||
|
||||
def __len__(self):
|
||||
return self._dict().__len__()
|
||||
|
||||
|
||||
def make_node(type_key, **kwargs):
|
||||
"""Make a new IR node by its type key and fields
|
||||
|
||||
Parameters
|
||||
----------
|
||||
type_key : str
|
||||
The type key of the node.
|
||||
|
||||
**kwargs : dict
|
||||
The fields of the node.
|
||||
|
||||
Returns
|
||||
-------
|
||||
node : Node
|
||||
The corresponding IR Node
|
||||
|
||||
Note
|
||||
----
|
||||
If the created node is instance of AttrsNode, then
|
||||
the creator function will also run bound checks and
|
||||
default value setup as supported by Attrs.
|
||||
|
||||
Example
|
||||
-------
|
||||
The following code constructs a IntImm object
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
x = tvm.ir.make_node("ir.IntImm", dtype="int32", value=10, span=None)
|
||||
assert isinstance(x, tvm.tirx.IntImm)
|
||||
assert x.value == 10
|
||||
"""
|
||||
if type_key == "ir.DictAttrs":
|
||||
# DictAttrs stores kwargs as a key-value dict, not as named fields.
|
||||
# MakeObjectFromPackedArgs would look for a field named "__dict__".
|
||||
return _tvm_ffi_api.MakeObjectFromPackedArgs("ir.DictAttrs", "__dict__", kwargs)
|
||||
args = [type_key]
|
||||
for k, v in kwargs.items():
|
||||
args += [k, v]
|
||||
return _tvm_ffi_api.MakeObjectFromPackedArgs(*args)
|
||||
Reference in New Issue
Block a user