forked from huawei/mindspore2022
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
# Copyright 2019 Huawei Technologies Co., Ltd
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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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# ==============================================================================
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"""
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This module c_transforms provides common operations, including OneHotOp and TypeCast.
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"""
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import mindspore._c_dataengine as cde
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from .validators import check_num_classes, check_de_type
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from ..core.datatypes import mstype_to_detype
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class OneHot(cde.OneHotOp):
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"""
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Tensor operation to apply one hot encoding.
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Args:
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num_classes (int): Number of classes of the label.
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"""
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@check_num_classes
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def __init__(self, num_classes):
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self.num_classes = num_classes
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super().__init__(num_classes)
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class TypeCast(cde.TypeCastOp):
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"""
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Tensor operation to cast to a given MindSpore data type.
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Args:
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data_type (mindspore.dtype): mindspore.dtype to be casted to.
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"""
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@check_de_type
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def __init__(self, data_type):
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data_type = mstype_to_detype(data_type)
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self.data_type = str(data_type)
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super().__init__(data_type)
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