35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
################################################################################
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# Copyright (c) 2015-2018 Skymind, Inc.
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#
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# This program and the accompanying materials are made available under the
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# terms of the Apache License, Version 2.0 which is available at
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# https://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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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# SPDX-License-Identifier: Apache-2.0
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################################################################################
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from .op import op
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from ..java_classes import Nd4j
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template = """
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@op
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def {}(arr, axis=None):
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if axis is None:
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return Nd4j.{}(arr)
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return Nd4j.{}(arr)
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"""
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reduction_ops = [['max'], ['min'], ['sum'], ['prod'], ['mean'], [
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'std'], ['var'], ['argmax', 'argMax'], ['argmin', 'argMin']]
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for rop in reduction_ops:
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code = template.format(rop[0], rop[-1], rop[-1])
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exec(code)
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