onnxruntime/csharp/src/Microsoft.ML.OnnxRuntime/NativeOnnxTensorMemory.cs
Dmitri Smirnov 871af477d7
Fix outputs of Sequences and Maps exposure. (#5743)
Fix outputs of Sequences and Maps exposure.
  Add more test conditions.
  Make sure RunWithBingind calls the right function.
2020-11-11 10:21:22 -08:00

271 lines
10 KiB
C#

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
using Microsoft.ML.OnnxRuntime.Tensors;
using System;
using System.Buffers;
using System.Diagnostics;
using System.Runtime.InteropServices;
using System.Text;
namespace Microsoft.ML.OnnxRuntime
{
/// <summary>
/// Provides access from the underlying object that owns disposable OrtValue
/// The returned value does not own the actual memory and does nothing on Dispose()
/// </summary>
internal interface IOrtValueOwner : IDisposable
{
OrtValue Value { get; }
}
/// <summary>
/// This class is used in conjunction with DisposableNamedOnnxValue to
/// own native collection OrtValue and dispose of it along with any DisposableNamedOnnxValues
/// </summary>
internal class NativeOrtValueCollectionOwner : IOrtValueOwner, IDisposable
{
private OrtValue _ortValue;
private DisposableList<DisposableNamedOnnxValue> _disposables;
bool _disposed = false;
internal NativeOrtValueCollectionOwner(OrtValue ortValue, DisposableList<DisposableNamedOnnxValue> disposables)
{
Debug.Assert(ortValue.IsOwned);
_ortValue = new OrtValue(ortValue.Disown());
_disposables = disposables;
}
#region IOrtValueOwner
/// <summary>
/// Returns a non-owning ortValue
/// </summary>
public OrtValue Value { get { return new OrtValue(_ortValue.Handle, false); } }
#endregion IOrtValueOwner
#region Disposable
protected virtual void Dispose(bool disposing)
{
if (_disposed)
{
return;
}
// dispose managed state (managed objects).
if (disposing)
{
if(_disposables != null)
{
_disposables.Dispose();
_disposables = null;
}
// _ortValueHolder can be null when no native memory is involved
if (_ortValue != null)
{
_ortValue.Dispose();
_ortValue = null;
}
_disposed = true;
}
}
public void Dispose()
{
// Do not change this code. Put cleanup code in Dispose(bool disposing) above.
Dispose(true);
GC.SuppressFinalize(this);
}
#endregion Disposable
}
/// <summary>
/// This helper class owns the underlying OrtValue that is assumed to be a Tensor,
/// it does not support any other ortValues and caches Tensor properties.
/// </summary>
/// <typeparam name="T"></typeparam>
internal class NativeOnnxTensorMemory<T> : MemoryManager<T>, IOrtValueOwner
{
private OrtValue _ortValue; // Disposable
private IntPtr _dataBufferPointer; // pointer to mutable tensor data in native memory
private string[] _dataBufferAsString; // string tensor values copied into managed memory
/// <summary>
/// Constructs an instance and takes ownership of ortValue on success
/// </summary>
/// <param name="ortValue">ortValue that is a Tensor</param>
public NativeOnnxTensorMemory(OrtValue ortValue)
{
Type type = null;
int width = 0;
IntPtr typeAndShape = IntPtr.Zero;
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorTypeAndShape(ortValue.Handle, out typeAndShape));
try
{
TensorElementType elemType;
{
IntPtr el_type;
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorElementType(typeAndShape, out el_type));
elemType = (TensorElementType)el_type;
}
TensorElementTypeConverter.GetTypeAndWidth(elemType, out type, out width);
if (typeof(T) != type)
throw new NotSupportedException(nameof(NativeOnnxTensorMemory<T>) + " does not support T = " + nameof(T));
ElementType = elemType;
ElementWidth = width;
UIntPtr dimension;
long count;
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetDimensionsCount(typeAndShape, out dimension));
{
IntPtr el_count;
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorShapeElementCount(typeAndShape, out el_count)); // count can be negative.
count = (long)el_count;
}
if (count < 0)
{
throw new NotSupportedException("Symbolic dimensions in the tensor is not supported");
}
long[] shape = new long[dimension.ToUInt64()];
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetDimensions(typeAndShape, shape, dimension)); //Note: shape must be alive during the call
Count = (int)count;
Dimensions = new int[dimension.ToUInt64()];
for (ulong i = 0; i < dimension.ToUInt64(); i++)
{
Dimensions[i] = (int)shape[i];
}
if (typeof(T) != typeof(string))
{
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorMutableData(ortValue.Handle, out _dataBufferPointer));
}
else
{
UIntPtr strLen;
var offsets = new UIntPtr[Count];
NativeApiStatus.VerifySuccess(NativeMethods.OrtGetStringTensorDataLength(ortValue.Handle, out strLen));
var dataBuffer = new byte[strLen.ToUInt64()];
using (var dataBufferHandle = new Memory<byte>(dataBuffer).Pin())
using (var offsetMemoryHandle = new Memory<UIntPtr>(offsets).Pin())
{
unsafe
{
_dataBufferPointer = (IntPtr)dataBufferHandle.Pointer;
NativeApiStatus.VerifySuccess(
NativeMethods.OrtGetStringTensorContent(
ortValue.Handle, _dataBufferPointer, strLen,
(IntPtr)offsetMemoryHandle.Pointer,
(UIntPtr)Count));
}
_dataBufferAsString = new string[Count];
for (var i = 0; i < offsets.Length; i++)
{
var length = (i == offsets.Length - 1)
? strLen.ToUInt64() - offsets[i].ToUInt64()
: offsets[i + 1].ToUInt64() - offsets[i].ToUInt64();
// Onnx specifies strings always in UTF-8, no trailing null, no leading BOM
_dataBufferAsString[i] = Encoding.UTF8.GetString(dataBuffer, (int)offsets[i], (int)length);
}
}
}
// Transfer ownership
_ortValue = new OrtValue(ortValue.Disown());
}
finally
{
NativeMethods.OrtReleaseTensorTypeAndShapeInfo(typeAndShape);
}
}
/// <summary>
/// Returns a non-owning copy of OrtValue so the
/// result can not release native memory
/// </summary>
public OrtValue Value { get { return new OrtValue(_ortValue.Handle, false); } }
public bool IsDisposed { get; private set; } = false;
public int[] Dimensions { get; }
public int Rank => Dimensions.Length;
public int Count { get; }
public int ElementWidth { get; }
public Tensors.TensorElementType ElementType { get; }
/// <summary>
/// Used by MemoryManager to produce Memory Property
/// </summary>
/// <returns>SpanT</returns>
public override Span<T> GetSpan()
{
if (IsDisposed)
throw new ObjectDisposedException(nameof(NativeOnnxTensorMemory<T>));
Span<T> span = null;
unsafe
{
span = new Span<T>((void*)_dataBufferPointer, Count);
}
return span;
}
public Memory<String> GetBytesAsStringMemory()
{
if (IsDisposed)
throw new ObjectDisposedException(nameof(NativeOnnxTensorMemory<T>));
if (typeof(T) != typeof(string))
throw new NotSupportedException(nameof(NativeOnnxTensorMemory<T>.GetBytesAsStringMemory) + ": T must be byte");
return (_dataBufferAsString == null) ? new Memory<string>() : new Memory<string>(_dataBufferAsString);
}
/// <summary>
/// Satisfy MemoryManager abstract implementation
/// </summary>
/// <param name="elementIndex"></param>
/// <returns></returns>
public override MemoryHandle Pin(int elementIndex = 0)
{
//Note: always pin the full buffer and return
unsafe
{
if (elementIndex >= Count)
{
throw new ArgumentOutOfRangeException(nameof(elementIndex));
}
return new MemoryHandle((void*)((int)_dataBufferPointer + elementIndex * ElementWidth)); //could not use Unsafe.Add
}
}
// MemoryHandle returned above by Pin() should be disposed.
// Unpin() is purely to satisfy the interface.
public override void Unpin() { }
public void Dispose()
{
Dispose(true);
GC.SuppressFinalize(this);
}
protected override void Dispose(bool disposing)
{
if (IsDisposed)
{
return;
}
if (_ortValue != null)
{
_ortValue.Dispose();
_ortValue = null;
}
IsDisposed = true;
}
}
}