chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1,69 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<!--
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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
|
||||
~ * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
~ *
|
||||
~ * See the NOTICE file distributed with this work for additional
|
||||
~ * information regarding copyright ownership.
|
||||
~ * 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
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~ ******************************************************************************/
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-->
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>org.eclipse.deeplearning4j</groupId>
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<artifactId>python4j-parent</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
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<artifactId>python4j-numpy</artifactId>
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<properties>
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<module.name>python4j.numpy</module.name>
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</properties>
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<build>
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<plugins>
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<plugin>
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<groupId>org.moditect</groupId>
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<artifactId>moditect-maven-plugin</artifactId>
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</plugin>
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</plugins>
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</build>
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<dependencies>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>numpy-platform</artifactId>
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<version>${numpy.javacpp.version}</version>
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</dependency>
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<dependency>
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<groupId>org.eclipse.deeplearning4j</groupId>
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<artifactId>nd4j-native-api</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.eclipse.deeplearning4j</groupId>
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<artifactId>python4j-core</artifactId>
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<version>${project.version}</version>
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</dependency>
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</dependencies>
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</project>
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@@ -0,0 +1,336 @@
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/*
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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
|
||||
* * terms of the Apache License, Version 2.0 which is available at
|
||||
* * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
* *
|
||||
* * See the NOTICE file distributed with this work for additional
|
||||
* * information regarding copyright ownership.
|
||||
* * 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.
|
||||
* *
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||||
* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.nd4j.python4j.numpy;
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import lombok.SneakyThrows;
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import lombok.extern.slf4j.Slf4j;
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import org.bytedeco.cpython.PyObject;
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import org.bytedeco.cpython.PyTypeObject;
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import org.bytedeco.javacpp.Pointer;
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import org.bytedeco.javacpp.SizeTPointer;
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import org.bytedeco.numpy.PyArrayObject;
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import org.bytedeco.numpy.global.numpy;
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import org.nd4j.linalg.api.buffer.DataBuffer;
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import org.nd4j.linalg.api.buffer.DataType;
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import org.nd4j.linalg.api.concurrency.AffinityManager;
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import org.nd4j.linalg.api.memory.MemoryWorkspace;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.api.shape.Shape;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.nativeblas.NativeOpsHolder;
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import org.nd4j.python4j.*;
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import java.io.File;
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import java.util.*;
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import java.util.concurrent.atomic.AtomicBoolean;
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import static org.bytedeco.cpython.global.python.*;
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import static org.bytedeco.numpy.global.numpy.*;
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@Slf4j
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public class NumpyArray extends PythonType<INDArray> {
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public static final NumpyArray INSTANCE;
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private static final AtomicBoolean init = new AtomicBoolean(false);
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private static final Map<String, DataBuffer> cache = new HashMap<>();
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public final static String IMPORT_NUMPY_ARRAY = "org.eclipse.python4j.numpyimport";
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public final static String ADD_JAVACPP_NUMPY_TO_PATH = "org.eclipse.python4j.numpyimport";
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public final static String DEFAULT_IMPORT_NUMPY_ARRAY = "true";
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public final static String DEFAULT_ADD_JAVACPP_NUMPY_TO_PATH = "true";
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static {
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new PythonExecutioner();
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INSTANCE = new NumpyArray();
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INSTANCE.init();
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}
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@Override
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public File[] packages(){
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try{
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return new File[]{numpy.cachePackage()};
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}catch(Exception e){
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throw new PythonException(e);
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}
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}
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@SneakyThrows
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public synchronized void init() {
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if (init.get()) return;
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init.set(true);
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if(Boolean.parseBoolean(System.getProperty(IMPORT_NUMPY_ARRAY,DEFAULT_IMPORT_NUMPY_ARRAY))) {
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//See: https://numpy.org/doc/1.17/reference/c-api.array.html#importing-the-api
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//DO NOT REMOVE
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if(Boolean.parseBoolean(System.getProperty(ADD_JAVACPP_NUMPY_TO_PATH,DEFAULT_ADD_JAVACPP_NUMPY_TO_PATH))) {
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for(File packageDir : numpy.cachePackages()) {
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PyObject pythonPath = PyUnicode_FromString(packageDir.getAbsolutePath());
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PySys_SetObject("path", pythonPath);
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Py_DecRef(pythonPath);
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}
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}
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//ensure python doesn't get initialized twice, this call is needed before numpy import array
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PythonConstants.setInitializePython(false);
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Py_Initialize();
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int err = numpy._import_array();
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if (err < 0){
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System.out.println("Numpy import failed!");
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throw new PythonException("Numpy import failed!");
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}
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}
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if (PythonGIL.locked()) {
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throw new PythonException("Can not initialize numpy - GIL already acquired.");
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}
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}
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public NumpyArray() {
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super("numpy.ndarray", INDArray.class);
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}
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@Override
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public INDArray toJava(PythonObject pythonObject) {
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log.debug("Converting PythonObject to INDArray...");
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PyObject np = PyImport_ImportModule("numpy");
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PyObject ndarray = PyObject_GetAttrString(np, "ndarray");
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if (PyObject_IsInstance(pythonObject.getNativePythonObject(), ndarray) != 1) {
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Py_DecRef(ndarray);
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Py_DecRef(np);
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throw new PythonException("Object is not a numpy array! Use Python.ndarray() to convert object to a numpy array.");
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}
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Py_DecRef(ndarray);
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Py_DecRef(np);
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PyArrayObject npArr = new PyArrayObject(pythonObject.getNativePythonObject());
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long[] shape = new long[PyArray_NDIM(npArr)];
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SizeTPointer shapePtr = PyArray_SHAPE(npArr);
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if (shapePtr != null)
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shapePtr.get(shape, 0, shape.length);
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long[] strides = new long[shape.length];
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SizeTPointer stridesPtr = PyArray_STRIDES(npArr);
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if (stridesPtr != null)
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stridesPtr.get(strides, 0, strides.length);
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int npdtype = PyArray_TYPE(npArr);
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DataType dtype;
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switch (npdtype) {
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case NPY_DOUBLE:
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dtype = DataType.DOUBLE;
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break;
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case NPY_FLOAT:
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dtype = DataType.FLOAT;
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break;
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case NPY_SHORT:
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dtype = DataType.SHORT;
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break;
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||||
case NPY_INT:
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dtype = DataType.INT32;
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break;
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||||
case NPY_LONG:
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dtype = DataType.INT64;
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break;
|
||||
case NPY_UINT:
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||||
dtype = DataType.UINT32;
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||||
break;
|
||||
case NPY_BYTE:
|
||||
dtype = DataType.INT8;
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||||
break;
|
||||
case NPY_UBYTE:
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||||
dtype = DataType.UINT8;
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||||
break;
|
||||
case NPY_BOOL:
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||||
dtype = DataType.BOOL;
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||||
break;
|
||||
case NPY_HALF:
|
||||
dtype = DataType.FLOAT16;
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break;
|
||||
case NPY_LONGLONG:
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||||
dtype = DataType.INT64;
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break;
|
||||
case NPY_USHORT:
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||||
dtype = DataType.UINT16;
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break;
|
||||
case NPY_ULONG:
|
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case NPY_ULONGLONG:
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dtype = DataType.UINT64;
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break;
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default:
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throw new PythonException("Unsupported array data type: " + npdtype);
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}
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long size = 1;
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for (int i = 0; i < shape.length; size *= shape[i++]) ;
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INDArray ret;
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long address = PyArray_DATA(npArr).address();
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String key = address + "_" + size + "_" + dtype;
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DataBuffer buff = cache.get(key);
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if (buff == null) {
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try (MemoryWorkspace ws = Nd4j.getMemoryManager().scopeOutOfWorkspaces()) {
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Pointer ptr = Nd4j.getNativeOps().pointerForAddress(address);
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ptr = ptr.limit(size);
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ptr = ptr.capacity(size);
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buff = Nd4j.createBuffer(ptr, size, dtype);
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cache.put(key, buff);
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}
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||||
}
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int elemSize = buff.getElementSize();
|
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long[] nd4jStrides = new long[strides.length];
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for (int i = 0; i < strides.length; i++) {
|
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nd4jStrides[i] = strides[i] / elemSize;
|
||||
}
|
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ret = Nd4j.create(buff, shape, nd4jStrides, 0, Shape.getOrder(shape, nd4jStrides, 1), dtype);
|
||||
Nd4j.getAffinityManager().tagLocation(ret, AffinityManager.Location.HOST);
|
||||
log.debug("Done creating numpy array.");
|
||||
return ret;
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||||
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||||
|
||||
}
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||||
|
||||
@Override
|
||||
public PythonObject toPython(INDArray indArray) {
|
||||
log.debug("Converting INDArray to PythonObject...");
|
||||
DataType dataType = indArray.dataType();
|
||||
DataBuffer buff = indArray.data();
|
||||
String key = buff.pointer().address() + "_" + buff.length() + "_" + dataType;
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cache.put(key, buff);
|
||||
int numpyType;
|
||||
String ctype;
|
||||
switch (dataType) {
|
||||
case DOUBLE:
|
||||
numpyType = NPY_DOUBLE;
|
||||
ctype = "c_double";
|
||||
break;
|
||||
case FLOAT:
|
||||
case BFLOAT16:
|
||||
numpyType = NPY_FLOAT;
|
||||
ctype = "c_float";
|
||||
break;
|
||||
case SHORT:
|
||||
numpyType = NPY_SHORT;
|
||||
ctype = "c_short";
|
||||
break;
|
||||
case INT:
|
||||
numpyType = NPY_INT;
|
||||
ctype = "c_int";
|
||||
break;
|
||||
case LONG:
|
||||
numpyType = NPY_INT64;
|
||||
ctype = "c_int64";
|
||||
break;
|
||||
case UINT16:
|
||||
numpyType = NPY_USHORT;
|
||||
ctype = "c_uint16";
|
||||
break;
|
||||
case UINT32:
|
||||
numpyType = NPY_UINT;
|
||||
ctype = "c_uint";
|
||||
break;
|
||||
case UINT64:
|
||||
numpyType = NPY_UINT64;
|
||||
ctype = "c_uint64";
|
||||
break;
|
||||
case BOOL:
|
||||
numpyType = NPY_BOOL;
|
||||
ctype = "c_bool";
|
||||
break;
|
||||
case BYTE:
|
||||
numpyType = NPY_BYTE;
|
||||
ctype = "c_byte";
|
||||
break;
|
||||
case UBYTE:
|
||||
numpyType = NPY_UBYTE;
|
||||
ctype = "c_ubyte";
|
||||
break;
|
||||
case HALF:
|
||||
numpyType = NPY_HALF;
|
||||
ctype = "c_short";
|
||||
break;
|
||||
default:
|
||||
throw new RuntimeException("Unsupported dtype: " + dataType);
|
||||
}
|
||||
|
||||
long[] shape = indArray.shape();
|
||||
INDArray inputArray = indArray;
|
||||
if (dataType == DataType.BFLOAT16) {
|
||||
log.warn("Creating copy of array as bfloat16 is not supported by numpy.");
|
||||
inputArray = indArray.castTo(DataType.FLOAT);
|
||||
}
|
||||
|
||||
//Sync to host memory in the case of CUDA, before passing the host memory pointer to Python
|
||||
|
||||
Nd4j.getAffinityManager().ensureLocation(inputArray, AffinityManager.Location.HOST);
|
||||
|
||||
// PyArray_Type() call causes jvm crash in linux cpu if GIL is acquired by non main thread.
|
||||
// Using Interpreter for now:
|
||||
|
||||
//likely embedded in python, always use this method instead
|
||||
if(!PythonConstants.releaseGilAutomatically() || PythonConstants.createNpyViaPython()) {
|
||||
try(PythonContextManager.Context context = new PythonContextManager.Context("__np_array_converter")){
|
||||
log.debug("Stringing exec...");
|
||||
String code = "import ctypes\nimport numpy as np\n" +
|
||||
"cArr = (ctypes." + ctype + "*" + indArray.length() + ")"+
|
||||
".from_address(" + indArray.data().pointer().address() + ")\n"+
|
||||
"npArr = np.frombuffer(cArr, dtype=" + ((numpyType == NPY_HALF) ? "'half'" : "ctypes." + ctype)+
|
||||
").reshape(" + Arrays.toString(indArray.shape()) + ")";
|
||||
PythonExecutioner.exec(code);
|
||||
log.debug("exec done.");
|
||||
PythonObject ret = PythonExecutioner.getVariable("npArr");
|
||||
Py_IncRef(ret.getNativePythonObject());
|
||||
return ret;
|
||||
|
||||
}
|
||||
} else {
|
||||
log.debug("NUMPY: PyArray_Type()");
|
||||
PyTypeObject pyTypeObject = PyArray_Type();
|
||||
|
||||
|
||||
log.debug("NUMPY: PyArray_New()");
|
||||
PyObject npArr = PyArray_New(pyTypeObject, shape.length, new SizeTPointer(shape),
|
||||
numpyType, null,
|
||||
inputArray.data().addressPointer(),
|
||||
0, NPY_ARRAY_CARRAY, null);
|
||||
log.debug("Created numpy array.");
|
||||
return new PythonObject(npArr);
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean accepts(Object javaObject) {
|
||||
return javaObject instanceof INDArray;
|
||||
}
|
||||
|
||||
@Override
|
||||
public INDArray adapt(Object javaObject) {
|
||||
if (javaObject instanceof INDArray) {
|
||||
return (INDArray) javaObject;
|
||||
}
|
||||
throw new PythonException("Cannot cast object of type " + javaObject.getClass().getName() + " to INDArray");
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
open module python4j.numpy {
|
||||
requires lombok;
|
||||
requires nd4j.cpu.api;
|
||||
requires org.bytedeco.cpython;
|
||||
requires org.bytedeco.javacpp;
|
||||
requires org.bytedeco.numpy;
|
||||
requires slf4j.api;
|
||||
requires nd4j.api;
|
||||
requires python4j.core;
|
||||
exports org.nd4j.python4j.numpy;
|
||||
provides org.nd4j.python4j.PythonType with org.nd4j.python4j.numpy.NumpyArray;
|
||||
}
|
||||
+217
@@ -0,0 +1,217 @@
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * See the NOTICE file distributed with this work for additional
|
||||
# * information regarding copyright ownership.
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# *
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
#
|
||||
# /* ******************************************************************************
|
||||
# * Copyright (c) 2021 Deeplearning4j Contributors
|
||||
# *
|
||||
# * This program and the accompanying materials are made available under the
|
||||
# * terms of the Apache License, Version 2.0 which is available at
|
||||
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
# *
|
||||
# * 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
|
||||
# ******************************************************************************/
|
||||
#
|
||||
|
||||
org.nd4j.python4j.numpy.NumpyArray
|
||||
Reference in New Issue
Block a user