68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
# /* ******************************************************************************
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# *
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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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# * See the NOTICE file distributed with this work for additional
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# * information regarding copyright ownership.
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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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################################################################################
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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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################################################################################
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from .ndarray import ndarray
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from .java_classes import Nd4j
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def zeros(shape):
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return ndarray(Nd4j.zeros(*shape))
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def ones(shape):
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return ndarray(Nd4j.ones(*shape))
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def zeros_like(array):
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array = ndarray(array).array
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return ndarray(Nd4j.zerosLike(array))
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def ones_like(array):
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array = ndarray(array).array
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return ndarray(Nd4j.onesLike(array))
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def eye(size):
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return ndarray(Nd4j.eye(size))
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def arange(m, n=None):
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if n is None:
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return ndarray(Nd4j.arange(m))
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return ndarray(Nd4j.arange(m, n))
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def linspace(start, stop, num):
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return ndarray(Nd4j.linspace(start, stop, num))
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