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node_generic.py
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node_generic.py
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# 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.
"""Common implementation of Node generic related logic
Acknowledgement: This file originates from incubator-tvm"""
# pylint: disable=unused-import
from numbers import Number, Integral
from .. import _api_internal
def _scalar_type_inference(value):
if hasattr(value, 'dtype'):
dtype = str(value.dtype)
elif isinstance(value, bool):
dtype = 'bool'
elif isinstance(value, float):
# We intentionally convert the float to float32 since it's more common in DL.
dtype = 'float32'
elif isinstance(value, int):
# We intentionally convert the python int to int32 since it's more common in DL.
dtype = 'int32'
else:
raise NotImplementedError('Cannot automatically inference the type.'
' value={}'.format(value))
return dtype
def convert_to_node(value):
"""Convert a python value to corresponding node type.
Parameters
----------
value : str
The value to be inspected.
Returns
-------
node : Node
The corresponding node value.
"""
if isinstance(value, Integral):
return _api_internal._Integer(value)
elif isinstance(value, float):
return _api_internal._Float(value)
elif isinstance(value, (list, tuple)):
value = [convert_to_node(x) for x in value]
return _api_internal._ADT(*value)
raise ValueError("don't know how to convert type %s to node" % type(value))
def const(value, dtype=None):
"""Construct a constant value for a given type.
Parameters
----------
value : int or float
The input value
dtype : str or None, optional
The data type.
Returns
-------
expr : Expr
Constant expression corresponds to the value.
"""
if dtype is None:
dtype = _scalar_type_inference(value)
return _api_internal._const(value, dtype)