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framework.py
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framework.py
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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.
import numpy as np
# TODO: define framework api
from paddle.fluid.layer_helper_base import LayerHelperBase
__all__ = []
def set_default_dtype(d):
"""
Set default dtype. The default dtype is initially float32.
Args:
d(string|np.dtype): the dtype to make the default. It only
supports float16, bfloat16, float32 and float64.
Returns:
None.
Examples:
.. code-block:: python
import paddle
paddle.set_default_dtype("float32")
"""
if isinstance(d, type):
# This branch is for np.dtype
if d in [np.float16, np.float32, np.float64]:
d = d.__name__
else:
raise TypeError(
"set_default_dtype only supports [float16, float32, float64] "
", but received %s" % d.__name__
)
else:
# This branch is for str
if d in ['float16', 'float32', 'float64', 'bfloat16']:
# NOTE(SigureMo): Since the np.dtype object is not an instance of
# type, so it will not be handled by the previous branch. We need
# to convert it to str here.
d = str(d)
else:
raise TypeError(
"set_default_dtype only supports [float16, float32, float64, bfloat16] "
", but received %s" % str(d)
)
LayerHelperBase.set_default_dtype(d)
def get_default_dtype():
"""
Get the current default dtype. The default dtype is initially float32.
Args:
None.
Returns:
String, this global dtype only supports float16, float32, float64.
Examples:
.. code-block:: python
import paddle
paddle.get_default_dtype()
"""
return LayerHelperBase.get_default_dtype()