NDArrayViewPtr NDArrayView::DeepClone(bool readOnly/* = false*/) const
{
NDArrayViewPtr newView(new NDArrayView(this->GetDataType(), this->GetStorageFormat(), this->Shape(), this->Device()), [](_ReferenceCounter* ptr) { delete ptr; });
switch (m_dataType)
{
case DataType::Float:
{
auto newMatrix = newView->GetWritableMatrix<float>();
auto thisMatrix = GetMatrix<float>();
newMatrix->AssignValuesOf(*thisMatrix);
break;
}
case DataType::Double:
{
auto newMatrix = newView->GetWritableMatrix<double>();
auto thisMatrix = GetMatrix<double>();
newMatrix->AssignValuesOf(*thisMatrix);
break;
}
default:
LogicError("Unsupported DataType %s", DataTypeName(m_dataType));
break;
}
newView->m_isReadOnly = readOnly;
return NDArrayViewPtr(newView, [](_ReferenceCounter* ptr) {
delete ptr;
});
}
/*static*/ ValuePtr Value::Create(const NDShape& sampleShape, const std::vector<std::vector<ElementType>>& sequences, const DeviceDescriptor& device, bool readOnly/* = false*/)
{
size_t sampleSize = sampleShape.TotalSize();
NDMaskPtr deviceValueMask = CreateMask(sampleSize, sequences, device);
size_t maxSequenceLength = (deviceValueMask == nullptr) ? sequences[0].size() : deviceValueMask->Shape()[0];
size_t numSequences = sequences.size();
NDShape valueDataShape = sampleShape.AppendShape({ maxSequenceLength, numSequences });
NDArrayViewPtr valueData(new NDArrayView(AsDataType<ElementType>(), valueDataShape, DeviceDescriptor::CPUDevice()), [](ReferenceCount* ptr) { delete ptr; });
ElementType* dataBuffer = valueData->WritableDataBuffer<ElementType>();
for (size_t i = 0; i < numSequences; ++i)
std::copy(sequences[i].data(), sequences[i].data() + sequences[i].size(), dataBuffer + (maxSequenceLength * i * sampleSize));
NDArrayViewPtr deviceValueData;
if (device == DeviceDescriptor::CPUDevice())
{
if (readOnly)
deviceValueData = valueData->Alias(true);
else
deviceValueData = valueData;
}
else
{
deviceValueData = NDArrayViewPtr(new NDArrayView(AsDataType<ElementType>(), valueDataShape, device), [](ReferenceCount* ptr) { delete ptr; });
deviceValueData->CopyFrom(*valueData);
if (readOnly)
deviceValueData = deviceValueData->Alias(true);
}
return ValuePtr(new Value(deviceValueData, deviceValueMask), [](ReferenceCount* ptr) { delete ptr; });
}
NDArrayViewPtr NDArrayView::RandomUniform(const NDShape& shape, double rangeStart, double rangeEnd, unsigned long seed, const DeviceDescriptor& device/* = DeviceDescriptor::DefaultDevice()*/)
{
auto matrixDims = GetMatrixDimensions(shape);
auto randomUniformMatrix = std::make_shared<Matrix<ElementType>>(Matrix<ElementType>::RandomUniform(matrixDims.first, matrixDims.second, AsCNTKImplDeviceId(device), (ElementType)rangeStart, (ElementType)rangeEnd, seed));
auto tensorView = new TensorView<ElementType>(randomUniformMatrix, AsTensorShape(shape));
auto view = new NDArrayView(AsDataType<ElementType>(), device, StorageFormat::Dense, shape, false, tensorView);
return NDArrayViewPtr(view, [](_ReferenceCounter* ptr) { delete ptr; });
}
NDArrayViewPtr NDArrayView::Alias(bool readOnly/* = false*/) const
{
void* tensorView = nullptr;
switch (m_dataType)
{
case DataType::Float:
tensorView = new TensorView<float>(*(GetTensorView<float>()));
break;
case DataType::Double:
tensorView = new TensorView<double>(*(GetTensorView<double>()));
break;
default:
LogicError("Unsupported DataType %s", DataTypeName(m_dataType));
break;
}
auto aliasView = new NDArrayView(GetDataType(), Device(), GetStorageFormat(), Shape(), IsReadOnly() || readOnly, tensorView);;
return NDArrayViewPtr(aliasView, [](_ReferenceCounter* ptr) { delete ptr; });
}
