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template void GPUMatrix<float>::BatchNormalizationForward(const GPUMatrix<float>& scale, const GPUMatrix<float>& bias, bool inferenceOnly, double expAvgFactor, double blendFactor, GPUMatrix<float>& runMean, GPUMatrix<float>& runVariance, GPUMatrix<float>& out, double epsilon, GPUMatrix<float>& saveMean, GPUMatrix<float... |
template void GPUMatrix<double>::BatchNormalizationForward(const GPUMatrix<double>& scale, const GPUMatrix<double>& bias, bool inferenceOnly, double expAvgFactor, double blendFactor, GPUMatrix<double>& runMean, GPUMatrix<double>& runVariance, GPUMatrix<double>& out, double epsilon, GPUMatrix<double>& saveMean, GPUMatri... |
template void GPUMatrix<half>::BatchNormalizationForward(const GPUMatrix<float>& scale, const GPUMatrix<float>& bias, bool inferenceOnly, double expAvgFactor, double blendFactor, GPUMatrix<float>& runMean, GPUMatrix<float>& runVariance, GPUMatrix<half>& out, double epsilon, GPUMatrix<float>& saveMean, GPUMatrix<float>&... |
template void GPUMatrix<float>::BatchNormalizationBackward(const GPUMatrix<float>& in, GPUMatrix<float>& grad, const GPUMatrix<float>& scale, double blendFactor, const GPUMatrix<float>& saveMean, const GPUMatrix<float>& saveInvStdDev, GPUMatrix<float>& scaleGrad, GPUMatrix<float>& biasGrad) const;
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template void GPUMatrix<double>::BatchNormalizationBackward(const GPUMatrix<double>& in, GPUMatrix<double>& grad, const GPUMatrix<double>& scale, double blendFactor, const GPUMatrix<double>& saveMean, const GPUMatrix<double>& saveInvStdDev, GPUMatrix<double>& scaleGrad, GPUMatrix<double>& biasGrad) const;
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template void GPUMatrix<half>::BatchNormalizationBackward(const GPUMatrix<half>& in, GPUMatrix<half>& grad, const GPUMatrix<float>& scale, double blendFactor, const GPUMatrix<float>& saveMean, const GPUMatrix<float>& saveInvStdDev, GPUMatrix<float>& scaleGrad, GPUMatrix<float>& biasGrad) const;
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template void GPUSparseMatrix<char>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<char>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<char>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<short>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<short>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<short>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<int>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<int>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<int>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<float>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<float>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<float>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<double>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<double>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<double>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<half>::DeepCast(const GPUSparseMatrix<float>& deepCopyFrom);
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template void GPUSparseMatrix<half>::DeepCast(const GPUSparseMatrix<double>& deepCopyFrom);
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template void GPUSparseMatrix<half>::DeepCast(const GPUSparseMatrix<half>& deepCopyFrom);
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template void GPUSparseMatrix<float>::AdaDelta<float>(GPUMatrix<float>&c, GPUMatrix<float>&functionValues, float learningRate, float rho, float epsilon, int* timestamps, int currentTimestamp);
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template void GPUSparseMatrix<double>::AdaDelta<double>(GPUMatrix<double>&c, GPUMatrix<double>&functionValues, double learningRate, double rho, double epsilon, int* timestamps, int currentTimestamp);
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template void GPUSparseMatrix<half>::AdaDelta<float>(GPUMatrix<float>&c, GPUMatrix<float>&functionValues, float learningRate, float rho, float epsilon, int* timestamps, int currentTimestamp);
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template <class ElemType>
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cublasHandle_t GPUMatrix<ElemType>::s_cuHandle[GPUMatrix<ElemType>::MaxGpus] = {0};
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template <class ElemType>
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void* GPUMatrix<ElemType>::s_curandGenerator = NULL;
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template <class ElemType>
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std::unique_ptr<ConvolutionEngine<ElemType>> CuDnnConvolutionEngineFactory<ElemType>::Create(ConvolveGeometryPtr, DEVICEID_TYPE,
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ImageLayoutKind, size_t, PoolKind, bool, bool, bool)
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{
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RuntimeError("The code is compiled with CPUONLY macro.");
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}
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template <class ElemType>
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bool CuDnnConvolutionEngineFactory<ElemType>::IsSupported(DEVICEID_TYPE, ConvolveGeometryPtr, PoolKind)
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{
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return false;
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}
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template class CuDnnConvolutionEngineFactory<float>;
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template class CuDnnConvolutionEngineFactory<double>;
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template class CuDnnConvolutionEngineFactory<half>;
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template <class InoutType, class StatType>
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std::unique_ptr<BatchNormEngine<InoutType, StatType>> CuDnnBatchNormEngineFactory<InoutType, StatType>::Create(DEVICEID_TYPE deviceId, const TensorShape& inOutT,
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bool spatial, ImageLayoutKind imageLayout)
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{
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RuntimeError("The code is compiled with CPUONLY macro.");
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}
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template class CuDnnBatchNormEngineFactory<float, float>;
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template class CuDnnBatchNormEngineFactory<double, double>;
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template class CuDnnBatchNormEngineFactory<half, float>;
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CudaTimer::~CudaTimer()
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{
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}
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void CudaTimer::Start()
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{
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}
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void CudaTimer::Stop()
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{
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}
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float CudaTimer::Elapsed()
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{
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return 0;
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}
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/*static*/ void SyncGuard::EnableSync()
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{
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}
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/*static*/ bool SyncGuard::IsSyncEnabled() { return false; }
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} } }
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// define a dummy GPUWatcher class too
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#include "GPUWatcher.h"
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int GPUWatcher::GetGPUIdWithTheMostFreeMemory()
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{
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return 0;
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}
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size_t GPUWatcher::GetFreeMemoryOnCUDADevice(int /*devId*/)
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{
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return 0;
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}
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