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53 lines
1.7 KiB
53 lines
1.7 KiB
3 years ago
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import numpy as np
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from paddle.framework import core
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__all__ = ["convert_dtype_to_np_dtype_"]
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def convert_dtype_to_np_dtype_(dtype):
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"""
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Convert paddle's data type to corrsponding numpy data type.
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Args:
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dtype(np.dtype): the data type in paddle.
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Returns:
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type: the data type in numpy.
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"""
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if dtype is core.VarDesc.VarType.FP32:
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return np.float32
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elif dtype is core.VarDesc.VarType.FP64:
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return np.float64
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elif dtype is core.VarDesc.VarType.FP16:
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return np.float16
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elif dtype is core.VarDesc.VarType.BOOL:
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return np.bool
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elif dtype is core.VarDesc.VarType.INT32:
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return np.int32
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elif dtype is core.VarDesc.VarType.INT64:
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return np.int64
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elif dtype is core.VarDesc.VarType.INT16:
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return np.int16
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elif dtype is core.VarDesc.VarType.INT8:
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return np.int8
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elif dtype is core.VarDesc.VarType.UINT8:
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return np.uint8
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elif dtype is core.VarDesc.VarType.BF16:
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return np.uint16
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else:
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raise ValueError("Not supported dtype %s" % dtype)
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