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apache--tvm/python/tvm/runtime/object_generic.py
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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

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Python

# 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.
# ruff: noqa: F401
"""Common implementation of object generic related logic"""
# pylint: disable=unused-import, invalid-name
from tvm_ffi import ObjectConvertible
from . import _ffi_node_api
def _scalar_type_inference(value):
if hasattr(value, "dtype"):
return str(value.dtype)
elif isinstance(value, bool):
return "bool"
elif isinstance(value, float):
# We intentionally prefer convert the float to float32 since it's more common in DL.
if -3.40282347e38 <= value <= 3.40282347e38:
return "float32"
else:
return "float64"
elif isinstance(value, int):
# We intentionally prefer convert the python int to int32 since it's more common in DL.
if -2147483648 <= value <= 2147483647:
return "int32"
else:
return "int64"
else:
raise NotImplementedError(f"Cannot automatically inference the type. value={value}")
def const(value, dtype=None, span=None):
"""construct a constant
Parameters
----------
value : number
The content of the constant number.
dtype : str or None, optional
The data type.
span : Optional[Span]
The location of the constant value in the source.
Returns
-------
const_val: tvm.Expr
The result expression.
"""
if dtype is None:
dtype = _scalar_type_inference(value)
if dtype == "uint64" and value >= (1 << 63):
return _ffi_node_api.LargeUIntImm(dtype, value & ((1 << 32) - 1), value >> 32, span)
return _ffi_node_api._const(value, dtype, span)