mirror of
https://github.com/saymrwulf/onnxruntime.git
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* Initial check-in to support non-tensor (sequence/map) types * Added support for String tensors * address PR comments
255 lines
8.6 KiB
C#
255 lines
8.6 KiB
C#
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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using System;
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using System.Collections.Generic;
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using System.Text;
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using System.Buffers;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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using System.Threading;
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namespace Microsoft.ML.OnnxRuntime
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{
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internal class NativeOnnxTensorMemory<T> : MemoryManager<T>
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{
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private bool _disposed;
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private int _referenceCount;
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private IntPtr _onnxValueHandle; // pointer to onnxvalue object in native
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private IntPtr _dataBufferPointer; // pointer to mutable tensor data in native memory
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private string[] _dataBufferAsString; // string tensor values copied into managed memory
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private int _elementCount;
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private int _elementWidth;
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private int[] _dimensions;
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public NativeOnnxTensorMemory(IntPtr onnxValueHandle, bool isStringTensor = false)
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{
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IntPtr typeAndShape = IntPtr.Zero;
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try
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{
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Type type = null;
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int width = 0;
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_onnxValueHandle = onnxValueHandle;
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NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorShapeAndType(onnxValueHandle, out typeAndShape));
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TensorElementType elemType = NativeMethods.OrtGetTensorElementType(typeAndShape);
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TensorElementTypeConverter.GetTypeAndWidth(elemType, out type, out width);
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if (typeof(T) != type)
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throw new NotSupportedException(nameof(NativeOnnxTensorMemory<T>) + " does not support T = " + nameof(T));
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_elementWidth = width;
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ulong dimension = NativeMethods.OrtGetNumOfDimensions(typeAndShape);
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long count = NativeMethods.OrtGetTensorShapeElementCount(typeAndShape); // count can be negative.
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if (count < 0)
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{
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throw new NotSupportedException("Symbolic dimensions in the tensor is not supported");
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}
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long[] shape = new long[dimension];
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NativeMethods.OrtGetDimensions(typeAndShape, shape, dimension); //Note: shape must be alive during the call
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_elementCount = (int)count;
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_dimensions = new int[dimension];
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for (ulong i = 0; i < dimension; i++)
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{
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_dimensions[i] = (int)shape[i];
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}
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if (!isStringTensor)
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{
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NativeApiStatus.VerifySuccess(NativeMethods.OrtGetTensorMutableData(_onnxValueHandle, out _dataBufferPointer));
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}
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else
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{
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if (typeof(T) != typeof(byte))
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throw new NotSupportedException(nameof(NativeOnnxTensorMemory<T>) + " T = " + nameof(T) + ". Should = byte, when isStringTensor is true");
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ulong strLen;
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var offsets = new ulong[_elementCount];
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NativeApiStatus.VerifySuccess(NativeMethods.OrtGetStringTensorDataLength(_onnxValueHandle, out strLen));
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var dataBuffer = new byte[strLen];
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var dataBufferMemory = new Memory<byte>(dataBuffer);
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var dataBufferHandle = dataBufferMemory.Pin();
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IntPtr dataBufferPointer = IntPtr.Zero;
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var offsetMemory = new Memory<ulong>(offsets);
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var offsetMemoryHandle = offsetMemory.Pin();
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IntPtr offsetBufferPointer = IntPtr.Zero;
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unsafe
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{
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dataBufferPointer = (IntPtr)dataBufferHandle.Pointer;
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offsetBufferPointer = (IntPtr)offsetMemoryHandle.Pointer;
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}
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NativeApiStatus.VerifySuccess(NativeMethods.OrtGetStringTensorContent(_onnxValueHandle, dataBufferPointer, strLen, offsetBufferPointer, Convert.ToUInt64(_elementCount)));
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_dataBufferPointer = dataBufferPointer;
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_dataBufferAsString = new string[_elementCount];
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for (var i = 0; i < offsets.Length; i++)
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{
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var length = (i == offsets.Length - 1)
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? strLen - offsets[i]
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: offsets[i + 1] - offsets[i];
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// Onnx specifies strings always in UTF-8, no trailing null, no leading BOM
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_dataBufferAsString[i] = Encoding.UTF8.GetString(dataBuffer, (int)offsets[i], (int)length);
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}
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// unpin memory
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offsetMemoryHandle.Dispose();
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dataBufferHandle.Dispose();
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}
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}
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catch (Exception e)
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{
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//TODO: cleanup any partially created state
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//Do not call ReleaseTensor here. If the constructor has thrown exception, then this NativeOnnxTensorWrapper is not created, so caller should take appropriate action to dispose
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throw e;
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}
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finally
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{
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if (typeAndShape != IntPtr.Zero)
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{
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NativeMethods.OrtReleaseTensorTypeAndShapeInfo(typeAndShape);
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}
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}
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}
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~NativeOnnxTensorMemory()
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{
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Dispose(false);
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}
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public void Dispose()
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{
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GC.SuppressFinalize(this);
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Dispose(true);
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}
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public bool IsDisposed => _disposed;
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protected bool IsRetained => _referenceCount > 0;
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public int[] Dimensions
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{
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get
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{
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return _dimensions;
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}
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}
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public int Rank
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{
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get
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{
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return _dimensions.Length;
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}
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}
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public int Count
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{
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get
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{
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return _elementCount;
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}
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}
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public int ElementWidth
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{
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get
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{
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return _elementWidth;
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}
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}
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public override Span<T> GetSpan()
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{
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if (IsDisposed)
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throw new ObjectDisposedException(nameof(NativeOnnxTensorMemory<T>));
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Span<T> span = null;
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unsafe
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{
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span = new Span<T>((void*)_dataBufferPointer, _elementCount);
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}
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return span;
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}
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public Memory<String> GetBytesAsStringMemory()
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{
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if (IsDisposed)
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throw new ObjectDisposedException(nameof(NativeOnnxTensorMemory<T>));
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if (typeof(T) != typeof(byte))
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throw new NotSupportedException(nameof(NativeOnnxTensorMemory<T>.GetBytesAsStringMemory) + ": T must be byte");
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return (_dataBufferAsString == null) ? new Memory<string>() : new Memory<string>(_dataBufferAsString);
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}
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public override MemoryHandle Pin(int elementIndex = 0)
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{
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//Note: always pin the full buffer and return
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unsafe
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{
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if (elementIndex >= _elementCount)
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{
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throw new ArgumentOutOfRangeException(nameof(elementIndex));
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}
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Retain();
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return new MemoryHandle((void*)((int)_dataBufferPointer + elementIndex * _elementWidth)); //could not use Unsafe.Add
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}
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}
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public override void Unpin()
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{
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Release();
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}
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private bool Release()
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{
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int newRefCount = Interlocked.Decrement(ref _referenceCount);
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if (newRefCount < 0)
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{
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throw new InvalidOperationException("Unmatched Release/Retain");
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}
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return newRefCount != 0;
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}
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private void Retain()
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{
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if (IsDisposed)
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{
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throw new ObjectDisposedException(nameof(NativeOnnxTensorMemory<T>));
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}
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Interlocked.Increment(ref _referenceCount);
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}
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protected override void Dispose(bool disposing)
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{
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if (_disposed)
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{
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return;
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}
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if (disposing)
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{
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// do managed objects cleanup
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}
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NativeMethods.OrtReleaseValue(_onnxValueHandle);
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_disposed = true;
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}
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protected override bool TryGetArray(out ArraySegment<T> arraySegment)
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{
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// cannot expose managed array
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arraySegment = default(ArraySegment<T>);
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return false;
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}
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}
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}
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