mirror of
https://github.com/hanzoai/jube-fork.git
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richard-churchman
cc0a2bee21
Included open-source Accord.net library code natively to the solution given the deprecated state of that project. Accord.net will be supported inside Jube for own needs (such as upgrading to .Net 7+). Accord.net libraries modified to compile to .Net 6. Modified Accord.net libraries to better support Newtonsoft Json.net serialisation. Included annotations in the Accord.net libraries to house important dependency statistics. Serialised json can be used independently of Jube to recall a Neural Network. Removal of Binary Serializer totally as a precursor to the projects support of .Net 7+. Extensive bug fixing in crucial functions of Neural Network training and recall. While this part of the system remains in Alpha, it is substantially more fit for purpose.
312 lines
12 KiB
C#
312 lines
12 KiB
C#
// Accord Formats Library
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// The Accord.NET Framework
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// http://accord-framework.net
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//
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// Copyright © César Souza, 2009-2017
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// cesarsouza at gmail.com
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//
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// This library is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 2.1 of the License, or (at your option) any later version.
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//
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// This library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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// Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License along with this library; if not, write to the Free Software
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// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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//
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#if !NET35 && !NET40
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namespace Accord.IO
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{
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using Accord.Math;
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Runtime.InteropServices;
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using System.Text;
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using System.Threading.Tasks;
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using System.IO.Compression;
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using System.Collections;
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/// <summary>
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/// Provides static methods to save and load files saved in NumPy's .npz format.
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/// </summary>
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///
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/// <seealso cref="NpyFormat"/>
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///
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public static partial class NpzFormat
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{
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/// <summary>
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/// Loads an array of the specified type from an array of bytes.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="bytes">The bytes that contain the matrix to be loaded.</param>
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/// <param name="value">The object to be read. This parameter can be used to avoid the
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/// need of specifying a generic argument to this function.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static void Load<T>(byte[] bytes, out T value)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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using (var dict = Load<T>(bytes))
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{
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value = dict.Values.First();
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}
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}
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/// <summary>
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/// Loads an array of the specified type from a file in the disk.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="path">The path to the file containing the matrix to be loaded.</param>
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/// <param name="value">The object to be read. This parameter can be used to avoid the
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/// need of specifying a generic argument to this function.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static void Load<T>(string path, out T value)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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using (var dict = Load<T>(path))
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{
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value = dict.Values.First();
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}
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}
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/// <summary>
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/// Loads an array of the specified type from a file in the disk.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="stream">The stream containing the matrix to be loaded.</param>
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/// <param name="value">The object to be read. This parameter can be used to avoid the
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/// need of specifying a generic argument to this function.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static void Load<T>(Stream stream, out T value)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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using (var dict = Load<T>(stream))
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{
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value = dict.Values.First();
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}
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// matrices of the specified type from an array of bytes.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="bytes">The bytes that contain the matrix to be loaded.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static NpzDictionary<T> Load<T>(byte[] bytes)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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return Load<T>(new MemoryStream(bytes));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// matrices of the specified type from a file in the disk.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="path">The path to the file containing the matrix to be loaded.</param>
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/// <param name="value">The object to be read. This parameter can be used to avoid the
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/// need of specifying a generic argument to this function.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static NpzDictionary<T> Load<T>(string path, out NpzDictionary<T> value)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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return value = Load<T>(new FileStream(path, FileMode.Open));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// matrices of the specified type from a stream.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="stream">The stream containing the matrix to be loaded.</param>
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/// <param name="value">The object to be read. This parameter can be used to avoid the
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/// need of specifying a generic argument to this function.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static NpzDictionary<T> Load<T>(Stream stream, out NpzDictionary<T> value)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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return value = Load<T>(stream);
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// matrices of the specified type from a file in the disk.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="path">The path to the file containing the matrix to be loaded.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static NpzDictionary<T> Load<T>(string path)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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return Load<T>(new FileStream(path, FileMode.Open));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// matrices of the specified type from a stream.
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/// </summary>
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///
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/// <typeparam name="T">The type to be loaded from the npy-formatted file.</typeparam>
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/// <param name="stream">The stream containing the matrix to be loaded.</param>
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///
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/// <returns>The array to be returned.</returns>
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///
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public static NpzDictionary<T> Load<T>(Stream stream)
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where T : class,
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#if !NETSTANDARD1_4
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ICloneable,
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#endif
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IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
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return new NpzDictionary<T>(stream);
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// multi-dimensional matrices from an array of bytes.
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/// </summary>
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///
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/// <param name="bytes">The bytes that contain the matrix to be loaded.</param>
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///
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/// <returns>A collection of arrays.</returns>
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///
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public static NpzDictionary<Array> LoadMatrix(byte[] bytes)
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{
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return LoadMatrix(new MemoryStream(bytes));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// multi-dimensional matrices from a file in the disk.
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/// </summary>
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///
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/// <param name="path">The path to the file containing the matrix to be loaded.</param>
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///
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/// <returns>A collection of arrays.</returns>
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///
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public static NpzDictionary<Array> LoadMatrix(string path)
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{
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return LoadMatrix(new FileStream(path, FileMode.Open));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// multi-dimensional matrices from a stream.
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/// </summary>
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///
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/// <param name="stream">The stream containing the matrix to be loaded.</param>
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///
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/// <returns>A collection of arrays.</returns>
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///
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public static NpzDictionary<Array> LoadMatrix(Stream stream)
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{
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return new NpzDictionary(stream, jagged: false);
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// jagged matrices from an array of bytes.
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/// </summary>
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///
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/// <param name="bytes">The bytes that contain the matrix to be loaded.</param>
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///
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/// <returns>A collection of arrays.</returns>
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///
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public static NpzDictionary<Array> LoadJagged(byte[] bytes)
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{
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return LoadJagged(new MemoryStream(bytes));
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}
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/// <summary>
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/// Gets a lazily-instantiated array that can be used to load
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/// jagged matrices from a file in the disk.
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/// </summary>
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///
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/// <param name="path">The path to the file containing the matrix to be loaded.</param>
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///
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/// <returns>A collection of arrays.</returns>
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///
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public static NpzDictionary<Array> LoadJagged(string path)
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{
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return LoadJagged(new FileStream(path, FileMode.Open));
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}
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/// <summary>
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/// Loads a jagged array from a stream.
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/// </summary>
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///
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/// <param name="stream">The stream containing the matrix to be loaded.</param>
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/// <param name="trim">Pass true to remove null or empty elements from the loaded array.</param>
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///
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/// <returns>A jagged array containing the values available in the given stream.</returns>
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///
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public static NpzDictionary<Array> LoadJagged(Stream stream, bool trim = true)
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{
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return new NpzDictionary(stream, jagged: true);
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}
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}
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}
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#endif |