Python validate_nd4j_jars示例

示例#1

#
# 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.
#
# SPDX-License-Identifier: Apache-2.0
################################################################################

import jnius_config
import os
import warnings
import pydl4j

pydl4j.validate_nd4j_jars()

# -------------JVM starts here-------------

from jnius import autoclass

Nd4j = autoclass('org.nd4j.linalg.factory.Nd4j')
INDArray = autoclass('org.nd4j.linalg.api.ndarray.INDArray')
Transforms = autoclass('org.nd4j.linalg.ops.transforms.Transforms')
NDArrayIndex = autoclass('org.nd4j.linalg.indexing.NDArrayIndex')
DataBuffer = autoclass('org.nd4j.linalg.api.buffer.DataBuffer')
System = autoclass('java.lang.System')
Integer = autoclass('java.lang.Integer')
Float = autoclass('java.lang.Float')
Double = autoclass('java.lang.Double')
Shape = autoclass('org.nd4j.linalg.api.shape.Shape')

示例#2

文件： java_classes.py 项目： akhodakivskiy/deeplearning4j

# 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.
#
# SPDX-License-Identifier: Apache-2.0
################################################################################


import jnius_config
import os
import warnings
import pydl4j

pydl4j.validate_nd4j_jars()


# -------------JVM starts here-------------

from jnius import autoclass

Nd4j = autoclass('org.nd4j.linalg.factory.Nd4j')
INDArray = autoclass('org.nd4j.linalg.api.ndarray.INDArray')
Transforms = autoclass('org.nd4j.linalg.ops.transforms.Transforms')
NDArrayIndex = autoclass('org.nd4j.linalg.indexing.NDArrayIndex')
DataBuffer = autoclass('org.nd4j.linalg.api.buffer.DataBuffer')
DataType = autoclass('org.nd4j.linalg.api.buffer.DataType')
System = autoclass('java.lang.System')
Integer = autoclass('java.lang.Integer')
Long = autoclass('java.lang.Long')