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Tensors.cs
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using Tensorflow.NumPy;
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using Tensorflow.Common.Types;
using Tensorflow.Operations;
using Tensorflow.Common.Extensions;
namespace Tensorflow
{
/// <summary>
/// Tensors is used to represent a Tensor or a array of Tensor.
/// It will simplify the API interface, it converts Tensor
/// and Tensor[] to Tensors implicitily. And parse back to Tensor
/// and Tensor[] from Tensors implicitily.
/// It works for tuple and scalar as well.
/// </summary>
public sealed class Tensors : Nest<Tensor>, IDisposable
{
public TF_DataType dtype => this.First().dtype;
public Shape shape => this.First().shape;
public int rank => this.First().rank;
public Graph graph => this.First().graph;
public bool IsList { get; set; }
public int Length => this.Count();
/// <summary>
/// Return a Tensor if `Tensors` has only one tensor, otherwise throw an exception.
/// </summary>
public Tensor Single
{
get
{
if (Length != 1)
{
throw new ValueError("Tensors with more than one tensor cannot be " +
"implicitly converted to Tensor.");
}
return this.First();
}
}
/// <summary>
/// Return a Tensor if `Tensors` has only one tensor, and return null when `Tensors` is empty,
/// otherwise throw an exception.
/// </summary>
public Tensor? SingleOrNull
{
get
{
if (Length > 1)
{
throw new ValueError($"Tensors with {Length} tensor cannot be " +
"implicitly converted to Tensor.");
}
return this.FirstOrDefault();
}
}
public Tensor this[params string[] slices]
=> this.First()[slices];
internal Tensors(Nest<Tensor> nested) : base(nested)
{
}
public Tensors(params Tensor[] tensors): base(DealWithConstructorArrayInput(tensors))
{
}
public Tensors(IList<Tensor> tensors) : base(tensors.Select(x => new Nest<Tensor>(x)))
{
}
public Tensors(NDArray nd): base(ops.convert_to_tensor(nd))
{
}
/// <summary>
/// Get the element in shallow level. For example, for ts = [1, [2, 3], 4],
/// common indexer has ts[1] = 2. Shallow indexer has ts[1] = [2, 3]
/// </summary>
/// <param name="index"></param>
/// <returns></returns>
public Tensors GetShallow(int index)
{
if(NestType == NestType.Node)
{
if(index > 0)
{
throw new IndexOutOfRangeException();
}
return this;
}
else if(NestType == NestType.List)
{
return ListValue![index].AsNest().ToTensors();
}
else
{
throw new NotImplementedException();
}
}
private static Nest<Tensor> DealWithConstructorArrayInput(Tensor[] tensors)
{
if (tensors.Length == 0)
{
return Nest<Tensor>.Empty;
}
else if(tensors.Length == 1)
{
return new Nest<Tensor>(tensors[0]);
}
else
{
return new Nest<Tensor>(tensors.Select(x => new Nest<Tensor>(x)));
}
}
public bool IsSingle()
{
return Length == 1;
}
public new Tensors MergeWith(Nest<Tensor>? other)
{
return FromNest(base.MergeWith(other));
}
[Obsolete("This method is not encouraged to be used. It may be removed in the future. If you do want to add " +
"a tensor to `Tensors`, creating a new instance with your newly added tensor is a better choice.")]
public void Add(Tensor tensor)
{
if(NestType == NestType.Dictionary)
{
throw new ValueError("Cannot add a tensor to dictionary type of nested tensors.");
}
else if(NestType == NestType.Node)
{
NestType = NestType.List;
ListValue = new() { new Nest<Tensor>(NodeValue), new Nest<Tensor>(tensor) };
NodeValue = null;
}
else if(NestType == NestType.List)
{
ListValue!.Add(new Nest<Tensor>(tensor));
}
else //Empty
{
NestType = NestType.Node;
NodeValue = tensor;
}
}
[Obsolete("This method is not encouraged to be used. It may be removed in the future. If you do want to add " +
"some tensors to `Tensors`, creating a new instance with your newly added tensors is a better choice.")]
public void AddRange(IEnumerable<Tensor> tensors)
{
if (NestType == NestType.Dictionary)
{
throw new ValueError("Cannot add a tensor to dictionary type of nested tensors.");
}
else if (NestType == NestType.Node)
{
NestType = NestType.List;
ListValue = new() { new Nest<Tensor>(NodeValue) };
ListValue.AddRange(tensors.Select(x => new Nest<Tensor>(x)));
NodeValue = null;
}
else if(NestType == NestType.List)
{
ListValue!.AddRange(tensors.Select(x => new Nest<Tensor>(x)));
}
else // empty
{
NestType = NestType.List;
ListValue = tensors.Select(x => new Nest<Tensor>(x) as INestStructure<Tensor>).ToList();
}
}
[Obsolete("This method is not encouraged to be used. It may be removed in the future. If you do want to insert " +
"a tensor to `Tensors`, creating a new instance with your newly added tensor is a better choice.")]
public void Insert(int index, Tensor tensor)
{
if (NestType == NestType.List)
{
ListValue.Insert(index, new Nest<Tensor>(tensor));
}
else if(NestType == NestType.Node)
{
NestType = NestType.List;
ListValue = new() { new Nest<Tensor>(NodeValue) };
ListValue.Insert(index, new Nest<Tensor>(tensor));
NodeValue = null;
}
else
{
throw new ValueError("Cannot add a tensor to dictionary type of nested tensors.");
}
}
public string[] StringData()
{
return Single.StringData();
}
public string StringData(int index)
{
return Single.StringData(index);
}
public NDArray numpy()
{
return Single.numpy();
}
[Obsolete]
public T[] ToArray<T>() where T: unmanaged
{
return Single.ToArray<T>();
}
#region Explicit Conversions
public static explicit operator bool(Tensors tensor)
{
return (bool)tensor.Single;
}
public static explicit operator sbyte(Tensors tensor)
{
return (sbyte)tensor.Single;
}
public static explicit operator byte(Tensors tensor)
{
return (byte)tensor.Single;
}
public static explicit operator ushort(Tensors tensor)
{
return (ushort)tensor.Single;
}
public static explicit operator short(Tensors tensor)
{
return (short)tensor.Single;
}
public static explicit operator int(Tensors tensor)
{
return (int)tensor.Single;
}
public static explicit operator uint(Tensors tensor)
{
return (uint)tensor.Single;
}
public static explicit operator long(Tensors tensor)
{
return (long)tensor.Single;
}
public static explicit operator ulong(Tensors tensor)
{
return (ulong)tensor.Single;
}
public static explicit operator float(Tensors tensor)
{
return (byte)tensor.Single;
}
public static explicit operator double(Tensors tensor)
{
return (double)tensor.Single;
}
public static explicit operator string(Tensors tensor)
{
return (string)tensor.Single;
}
public static explicit operator object[](Tensors tensors)
=> tensors.Flatten().ToArray();
#endregion
#region Implicit Conversions
public static implicit operator Tensors(Tensor tensor)
=> new Tensors(tensor);
public static implicit operator Tensors((Tensor, Tensor) tuple)
=> new Tensors(tuple.Item1, tuple.Item2);
[AutoNumPy]
public static implicit operator Tensors(NDArray nd)
=> new Tensors(nd);
public static implicit operator Tensors(Tensor[] tensors)
=> new Tensors(tensors);
public static implicit operator Tensors(List<Tensor> tensors)
=> new Tensors(tensors.ToArray());
public static implicit operator Tensor(Tensors? tensors)
=> tensors?.SingleOrNull;
public static implicit operator Tensor[](Tensors tensors)
=> tensors.Flatten().ToArray();
#endregion
public static Tensors? FromNest(Nest<Tensor> nested)
{
if(nested == Nest<Tensor>.Empty)
{
return null;
}
return new Tensors(nested);
}
public void Deconstruct(out Tensor a, out Tensors? b)
{
a = this.First();
b = Length == 1? null : new Tensors(this.Skip(1).ToArray());
}
public override string ToString()
{
if(Length == 1)
{
return this.First().ToString();
}
else
{
return $"Totally {Length} tensors: {base.ToString()}";
}
}
public void Dispose()
{
foreach (var tensor in this)
tensor.Dispose();
}
}
}