hasktorch-ffi-thc-0.0.1.0: Bindings to Cutorch

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LanguageHaskell2010

Torch.FFI.THC.NN.Double

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Documentation

c_Abs_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Abs_updateOutput : state input output -> void

c_Abs_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Abs_updateGradInput : state input gradOutput gradInput -> void

c_AbsCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_AbsCriterion_updateOutput : state input target output sizeAverage reduce -> void

c_AbsCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_AbsCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage reduce -> void

c_BatchNormalization_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> CDouble -> IO () Source #

c_BatchNormalization_updateOutput : state input_ output_ weight_ bias_ runningMean_ runningVar_ saveMean_ saveStd_ train momentum eps -> void

c_BatchNormalization_backward :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> CDouble -> IO () Source #

c_BatchNormalization_backward : state input_ gradOutput_ gradInput_ gradWeight_ gradBias_ weight_ runningMean_ runningVar_ saveMean_ saveStd_ train scale eps -> void

c_BCECriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> CBool -> IO () Source #

c_BCECriterion_updateOutput : state input target output sizeAverage weights reduce -> void

c_BCECriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> CBool -> IO () Source #

c_BCECriterion_updateGradInput : state input target gradOutput gradInput sizeAverage weights reduce -> void

c_ClassNLLCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO () Source #

c_ClassNLLCriterion_updateOutput : state input target output sizeAverage weights total_weight ignore_index reduce -> void

c_ClassNLLCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO () Source #

c_ClassNLLCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage weights total_weight ignore_index reduce -> void

c_DistKLDivCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_DistKLDivCriterion_updateOutput : state input target output sizeAverage reduce -> void

c_DistKLDivCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_DistKLDivCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage reduce -> void

c_ELU_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO () Source #

c_ELU_updateOutput : state input output alpha scale inplace -> void

c_ELU_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_ELU_updateGradInput : state gradOutput gradInput output alpha scale -> void

c_FeatureLPPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CInt -> CInt -> CBool -> IO () Source #

c_FeatureLPPooling_updateOutput : state inputTH outputTH power width stride batchMode -> void

c_FeatureLPPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CInt -> CInt -> CBool -> IO () Source #

c_FeatureLPPooling_updateGradInput : state gradOutputTH inputTH outputTH gradInputTH power width stride batchMode -> void

c_HardTanh_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO () Source #

c_HardTanh_updateOutput : state input output min_val max_val inplace -> void

c_HardTanh_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO () Source #

c_HardTanh_updateGradInput : state input gradOutput gradInput min_val max_val inplace -> void

c_GatedLinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_GatedLinear_updateOutput : state input output dim -> void

c_GatedLinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_GatedLinear_updateGradInput : state input gradOutput gradInput dim -> void

c_Im2Col_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_Im2Col_updateOutput : state input output kH kW dH dW padH padW sH sW -> void

c_Im2Col_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_Im2Col_updateGradInput : state gradOutput gradInput inputHeight inputWidth kH kW dH dW padH padW sH sW -> void

c_Col2Im_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_Col2Im_updateOutput : state input output outputHeight outputWidth kH kW dH dW padH padW sH sW -> void

c_Col2Im_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_Col2Im_updateGradInput : state gradOutput gradInput kH kW dH dW padH padW sH sW -> void

c_LeakyReLU_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO () Source #

c_LeakyReLU_updateOutput : state input output negval inplace -> void

c_LeakyReLU_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO () Source #

c_LeakyReLU_updateGradInput : state input gradOutput gradInput negval inplace -> void

c_GRUFused_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_GRUFused_updateGradInput : state gradInInput gradInHidden gradOutput gradInputHx storage -> void

c_LSTMFused_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_LSTMFused_updateGradInput : state storage gradInGates prevC cy gradOutput gradOutputCell gradInputCx -> void

c_LogSigmoid_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_LogSigmoid_updateOutput : state input output buffer -> void

c_LogSigmoid_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_LogSigmoid_updateGradInput : state input gradOutput gradInput buffer -> void

c_LogSoftMax_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_LogSoftMax_updateOutput : state input output dim -> void

c_LogSoftMax_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_LogSoftMax_updateGradInput : state input gradOutput gradInput output dim -> void

c_LookupTable_accGradParameters :: Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CBool -> CInt -> CDouble -> IO () Source #

c_LookupTable_accGradParameters : state input gradOutput gradWeight count sorted indices scaleGradByFreq paddingValue scale -> void

c_LookupTable_renorm :: Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_LookupTable_renorm : state idx weight maxNorm normType -> void

c_LookupTableBag_updateOutput :: Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> Ptr C'THCIndexTensor -> IO () Source #

c_LookupTableBag_updateOutput : state input offsets weight output offset2bag mode seq_length -> void

c_LookupTableBag_accGradParameters :: Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CBool -> CInt -> Ptr C'THCIndexTensor -> CDouble -> IO () Source #

c_LookupTableBag_accGradParameters : state input gradOutput gradWeight offset2bag count sortedIndices origIndices scaleGradByFreq mode seq_length scale_ -> void

c_L1Cost_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_L1Cost_updateOutput : state input output -> void

c_L1Cost_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_L1Cost_updateGradInput : state input gradOutput gradInput -> void

c_MarginCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> IO () Source #

c_MarginCriterion_updateOutput : state input target output sizeAverage margin -> void

c_MarginCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> IO () Source #

c_MarginCriterion_updateGradInput : state input target gradInput sizeAverage margin -> void

c_MSECriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_MSECriterion_updateOutput : state input target output sizeAverage reduce -> void

c_MSECriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_MSECriterion_updateGradInput : state input target gradOutput gradInput sizeAverage reduce -> void

c_MultiLabelMarginCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_MultiLabelMarginCriterion_updateOutput : state input target output istarget sizeaverage reduce -> void

c_MultiLabelMarginCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_MultiLabelMarginCriterion_updateGradInput : state input target gradOutput gradInput istarget sizeaverage reduce -> void

c_MultiMarginCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CInt -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO () Source #

c_MultiMarginCriterion_updateOutput : state input target output sizeAverage p weights margin reduce -> void

c_MultiMarginCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CInt -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO () Source #

c_MultiMarginCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage p weights margin reduce -> void

c_PReLU_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_PReLU_updateOutput : state input output weight -> void

c_PReLU_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_PReLU_updateGradInput : state input gradOutput gradInput weight -> void

c_PReLU_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO () Source #

c_PReLU_accGradParameters : state input gradOutput gradInput weight gradWeight scale -> void

c_SmoothL1Criterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_SmoothL1Criterion_updateOutput : state input target output sizeAverage reduce -> void

c_SmoothL1Criterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_SmoothL1Criterion_updateGradInput : state input target gradOutput gradInput sizeAverage reduce -> void

c_SparseLinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_SparseLinear_updateOutput : state input output weight bias -> void

c_SparseLinear_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_SparseLinear_accGradParameters : state input gradOutput gradWeight gradBias weight bias weightDecay scale -> void

c_SparseLinear_legacyUpdateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_SparseLinear_legacyUpdateOutput : state input output weight bias -> void

c_SparseLinear_legacyAccGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_SparseLinear_legacyAccGradParameters : state input gradOutput gradWeight gradBias weight bias weightDecay scale -> void

c_SparseLinear_zeroGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_SparseLinear_zeroGradParameters : state gradWeight gradBias lastInput -> void

c_SparseLinear_updateParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO () Source #

c_SparseLinear_updateParameters : state weight bias gradWeight gradBias lastInput learningRate -> void

c_IndexLinear_updateOutput :: Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_IndexLinear_updateOutput : state keys keysOffset values sizes cumSumSizes output weight bias normalizedValues train -> void

c_IndexLinear_accGradParameters :: Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_IndexLinear_accGradParameters : state keys keysOffset values sizes cumSumSizes gradOutput gradWeight gradBias weight bias valuesBuffer weightDecay scale -> void

c_IndexLinear_accUpdateGradParameters :: Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_IndexLinear_accUpdateGradParameters : state keys keysOffset values sizes cumSumSizes gradOutput weight bias weightDecay scale -> void

c_IndexLinear_updateParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CLLong -> CDouble -> CDouble -> IO () Source #

c_IndexLinear_updateParameters : state gradWeight gradBias weight bias runningKeys cumSumSizes keysOffset weightDecay learningRate -> void

c_SpatialAdaptiveMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO () Source #

c_SpatialAdaptiveMaxPooling_updateOutput : state input output indices osizeW osizeH -> void

c_SpatialAdaptiveMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> IO () Source #

c_SpatialAdaptiveMaxPooling_updateGradInput : state input gradOutput gradInput indices -> void

c_SpatialAdaptiveAveragePooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_SpatialAdaptiveAveragePooling_updateOutput : state input output osizeW osizeH -> void

c_SpatialAdaptiveAveragePooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_SpatialAdaptiveAveragePooling_updateGradInput : state input gradOutput gradInput -> void

c_SpatialAveragePooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO () Source #

c_SpatialAveragePooling_updateOutput : state input output kW kH dW dH padW padH ceil_mode count_include_pad -> void

c_SpatialAveragePooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO () Source #

c_SpatialAveragePooling_updateGradInput : state input gradOutput gradInput kW kH dW dH padW padH ceil_mode count_include_pad -> void

c_SpatialClassNLLCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO () Source #

c_SpatialClassNLLCriterion_updateOutput : state input target output sizeAverage weights total_weight ignore_index reduce -> void

c_SpatialClassNLLCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO () Source #

c_SpatialClassNLLCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage weights total_weight ignore_index reduce -> void

c_SpatialConvolutionLocal_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> IO () Source #

c_SpatialConvolutionLocal_updateOutput : state input output weight bias finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight -> void

c_SpatialConvolutionLocal_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> IO () Source #

c_SpatialConvolutionLocal_updateGradInput : state input gradOutput gradInput weight finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight -> void

c_SpatialConvolutionLocal_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> CDouble -> IO () Source #

c_SpatialConvolutionLocal_accGradParameters : state input gradOutput gradWeight gradBias finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight scale -> void

c_SpatialConvolutionMM_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialConvolutionMM_updateOutput : state input output weight bias columns ones kW kH dW dH padW padH -> void

c_SpatialConvolutionMM_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialConvolutionMM_updateGradInput : state input gradOutput gradInput weight columns ones kW kH dW dH padW padH -> void

c_SpatialConvolutionMM_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_SpatialConvolutionMM_accGradParameters : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH scale -> void

c_SpatialDepthwiseConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialDepthwiseConvolution_updateOutput : state input output weight bias kW kH dW dH padW padH dilationW dilationH -> void

c_SpatialDepthwiseConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialDepthwiseConvolution_updateGradInput : state input gradOutput gradInput weight kW kH dW dH padW padH dilationW dilationH -> void

c_SpatialDepthwiseConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialDepthwiseConvolution_accGradParameters : state input gradOutput gradWeight kW kH dW dH padW padH dilationW dilationH -> void

c_SpatialCrossMapLRN_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CDouble -> CDouble -> CDouble -> IO () Source #

c_SpatialCrossMapLRN_updateOutput : state input output scale size alpha beta k -> void

c_SpatialCrossMapLRN_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CDouble -> CDouble -> CDouble -> IO () Source #

c_SpatialCrossMapLRN_updateGradInput : state input gradOutput gradInput scale output size alpha beta k -> void

c_SpatialDilatedConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialDilatedConvolution_updateOutput : state input output weight bias columns ones kW kH dW dH padW padH dilationW dilationH -> void

c_SpatialDilatedConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialDilatedConvolution_updateGradInput : state input gradOutput gradInput weight columns kW kH dW dH padW padH dilationW dilationH -> void

c_SpatialDilatedConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_SpatialDilatedConvolution_accGradParameters : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH dilationW dilationH scale -> void

c_SpatialFullDilatedConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialFullDilatedConvolution_updateOutput : state input output weight bias columns ones kW kH dW dH padW padH dilationW dilationH adjW adjH -> void

c_SpatialFullDilatedConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialFullDilatedConvolution_updateGradInput : state input gradOutput gradInput weight columns kW kH dW dH padW padH dilationW dilationH adjW adjH -> void

c_SpatialFullDilatedConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_SpatialFullDilatedConvolution_accGradParameters : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH dilationW dilationH adjW adjH scale -> void

c_SpatialDilatedMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_SpatialDilatedMaxPooling_updateOutput : state input output indices kW kH dW dH padW padH dilationW dilationH ceil_mode -> void

c_SpatialDilatedMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_SpatialDilatedMaxPooling_updateGradInput : state input gradOutput gradInput indices kW kH dW dH padW padH dilationW dilationH ceil_mode -> void

c_SpatialFractionalMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_SpatialFractionalMaxPooling_updateOutput : state input output outputW outputH poolSizeW poolSizeH indices randomSamples -> void

c_SpatialFractionalMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> IO () Source #

c_SpatialFractionalMaxPooling_updateGradInput : state input gradOutput gradInput outputW outputH poolSizeW poolSizeH indices -> void

c_SpatialFullConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialFullConvolution_updateOutput : state input output weight bias columns ones kW kH dW dH padW padH adjW adjH -> void

c_SpatialFullConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialFullConvolution_updateGradInput : state input gradOutput gradInput weight columns kW kH dW dH padW padH adjW adjH -> void

c_SpatialFullConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_SpatialFullConvolution_accGradParameters : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH adjW adjH scale -> void

c_SpatialMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_SpatialMaxPooling_updateOutput : state input output indices kW kH dW dH padW padH ceil_mode -> void

c_SpatialMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_SpatialMaxPooling_updateGradInput : state input gradOutput gradInput indices kW kH dW dH padW padH ceil_mode -> void

c_SpatialMaxUnpooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO () Source #

c_SpatialMaxUnpooling_updateOutput : state input output indices owidth oheight -> void

c_SpatialMaxUnpooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO () Source #

c_SpatialMaxUnpooling_updateGradInput : state input gradOutput gradInput indices owidth oheight -> void

c_SpatialReflectionPadding_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialReflectionPadding_updateOutput : state input output padL padR padT padB -> void

c_SpatialReflectionPadding_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialReflectionPadding_updateGradInput : state input gradOutput gradInput padL padR padT padB -> void

c_SpatialReplicationPadding_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialReplicationPadding_updateOutput : state input output padL padR padT padB -> void

c_SpatialReplicationPadding_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialReplicationPadding_updateGradInput : state input gradOutput gradInput padL padR padT padB -> void

c_SpatialSubSampling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialSubSampling_updateOutput : state input output weight bias kW kH dW dH -> void

c_SpatialSubSampling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialSubSampling_updateGradInput : state input gradOutput gradInput weight kW kH dW dH -> void

c_SpatialSubSampling_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_SpatialSubSampling_accGradParameters : state input gradOutput gradWeight gradBias kW kH dW dH scale -> void

c_SpatialUpSamplingBilinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_SpatialUpSamplingBilinear_updateOutput : state input output outputHeight outputWidth -> void

c_SpatialUpSamplingBilinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_SpatialUpSamplingBilinear_updateGradInput : state gradOutput gradInput nbatch nchannels inputHeight inputWidth outputHeight outputWidth -> void

c_SpatialUpSamplingNearest_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SpatialUpSamplingNearest_updateGradInput : state input gradOutput gradInput scale_factor -> void

c_SpatialUpSamplingNearest_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SpatialUpSamplingNearest_updateOutput : state input output scale_factor -> void

c_SpatialGridSamplerBilinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SpatialGridSamplerBilinear_updateOutput : state input grid output padding_mode -> void

c_SpatialGridSamplerBilinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SpatialGridSamplerBilinear_updateGradInput : state input gradInput grid gradGrid gradOutput padding_mode -> void

c_VolumetricGridSamplerBilinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_VolumetricGridSamplerBilinear_updateOutput : state input grid output padding_mode -> void

c_VolumetricGridSamplerBilinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_VolumetricGridSamplerBilinear_updateGradInput : state input gradInput grid gradGrid gradOutput padding_mode -> void

c_RReLU_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> CBool -> Ptr () -> IO () Source #

c_RReLU_updateOutput : state input output noise lower upper train inplace generator -> void

c_RReLU_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> CBool -> IO () Source #

c_RReLU_updateGradInput : state input gradOutput gradInput noise lower upper train inplace -> void

c_Sigmoid_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Sigmoid_updateOutput : state input output -> void

c_Sigmoid_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Sigmoid_updateGradInput : state gradOutput gradInput output -> void

c_SoftMarginCriterion_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_SoftMarginCriterion_updateOutput : state input target output sizeAverage reduce -> void

c_SoftMarginCriterion_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO () Source #

c_SoftMarginCriterion_updateGradInput : state input target gradOutput gradInput sizeAverage reduce -> void

c_SoftMax_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SoftMax_updateOutput : state input output dim -> void

c_SoftMax_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_SoftMax_updateGradInput : state input gradOutput gradInput output dim -> void

c_SoftPlus_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_SoftPlus_updateOutput : state input output beta threshold -> void

c_SoftPlus_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO () Source #

c_SoftPlus_updateGradInput : state input gradOutput gradInput output beta threshold -> void

c_SoftShrink_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO () Source #

c_SoftShrink_updateOutput : state input output lambda -> void

c_SoftShrink_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO () Source #

c_SoftShrink_updateGradInput : state input gradOutput gradInput lambda -> void

c_Square_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Square_updateOutput : state input output -> void

c_Square_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Square_updateGradInput : state input gradOutput gradInput -> void

c_Sqrt_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO () Source #

c_Sqrt_updateOutput : state input output eps -> void

c_Sqrt_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Sqrt_updateGradInput : state input gradOutput gradInput output -> void

c_Tanh_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Tanh_updateOutput : state input output -> void

c_Tanh_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_Tanh_updateGradInput : state gradOutput gradInput output -> void

c_TemporalConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_TemporalConvolution_updateOutput : state input output weight bias kW dW inputFrameSize outputFrameSize -> void

c_TemporalConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_TemporalConvolution_updateGradInput : state input gradOutput gradInput weight kW dW -> void

c_TemporalConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CDouble -> IO () Source #

c_TemporalConvolution_accGradParameters : state input gradOutput gradWeight gradBias kW dW scale -> void

c_TemporalMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO () Source #

c_TemporalMaxPooling_updateOutput : state input output indices kW dW -> void

c_TemporalMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO () Source #

c_TemporalMaxPooling_updateGradInput : state input gradOutput gradInput indices kW dW -> void

c_TemporalRowConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_TemporalRowConvolution_updateOutput : state input output weight bias finput fgradInput kW dW padW featFirst -> void

c_TemporalRowConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_TemporalRowConvolution_updateGradInput : state input gradOutput gradInput weight finput fgradInput kW dW padW featFirst -> void

c_TemporalRowConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> CDouble -> IO () Source #

c_TemporalRowConvolution_accGradParameters : state input gradOutput gradWeight gradBias finput fgradInput kW dW padW featFirst scale -> void

c_TemporalReflectionPadding_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_TemporalReflectionPadding_updateOutput : state input output padL padR -> void

c_TemporalReflectionPadding_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_TemporalReflectionPadding_updateGradInput : state input gradOutput gradInput padL padR -> void

c_TemporalReplicationPadding_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_TemporalReplicationPadding_updateOutput : state input output padL padR -> void

c_TemporalReplicationPadding_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO () Source #

c_TemporalReplicationPadding_updateGradInput : state input gradOutput gradInput padL padR -> void

c_TemporalUpSamplingLinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_TemporalUpSamplingLinear_updateOutput : state input output outputWidth -> void

c_TemporalUpSamplingLinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_TemporalUpSamplingLinear_updateGradInput : state gradOutput gradInput nbatch nchannels inputWidth outputWidth -> void

c_TemporalUpSamplingNearest_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_TemporalUpSamplingNearest_updateGradInput : state input gradOutput gradInput scale_factor -> void

c_TemporalUpSamplingNearest_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_TemporalUpSamplingNearest_updateOutput : state input output scale_factor -> void

c_Threshold_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO () Source #

c_Threshold_updateOutput : state input output threshold val inplace -> void

c_Threshold_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO () Source #

c_Threshold_updateGradInput : state input gradOutput gradInput threshold val inplace -> void

c_VolumetricAveragePooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO () Source #

c_VolumetricAveragePooling_updateOutput : state input output kT kW kH dT dW dH padT padW padH ceil_mode count_include_pad -> void

c_VolumetricAveragePooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO () Source #

c_VolumetricAveragePooling_updateGradInput : state input gradOutput gradInput kT kW kH dT dW dH padT padW padH ceil_mode count_include_pad -> void

c_VolumetricConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricConvolution_updateOutput : state input output weight bias finput fgradInput dT dW dH padT padW padH -> void

c_VolumetricConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricConvolution_updateGradInput : state input gradOutput gradInput weight finput dT dW dH padT padW padH -> void

c_VolumetricConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_VolumetricConvolution_accGradParameters : state input gradOutput gradWeight gradBias finput fgradInput dT dW dH padT padW padH scale -> void

c_VolumetricDilatedConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricDilatedConvolution_updateOutput : state input output weight bias columns ones kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH -> void

c_VolumetricDilatedConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricDilatedConvolution_updateGradInput : state input gradOutput gradInput weight columns kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH -> void

c_VolumetricDilatedConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_VolumetricDilatedConvolution_accGradParameters : state input gradOutput gradWeight gradBias columns ones kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH scale -> void

c_VolumetricFullDilatedConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricFullDilatedConvolution_updateOutput : state input output weight bias finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH -> void

c_VolumetricFullDilatedConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricFullDilatedConvolution_updateGradInput : state input gradOutput gradInput weight finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH -> void

c_VolumetricFullDilatedConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_VolumetricFullDilatedConvolution_accGradParameters : state input gradOutput gradWeight gradBias finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH scale -> void

c_VolumetricDilatedMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_VolumetricDilatedMaxPooling_updateOutput : state input output indices kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH ceilMode -> void

c_VolumetricDilatedMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_VolumetricDilatedMaxPooling_updateGradInput : state input gradOutput gradInput indices kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH ceilMode -> void

c_VolumetricFractionalMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_VolumetricFractionalMaxPooling_updateOutput : state input output outputT outputW outputH poolSizeT poolSizeW poolSizeH indices randomSamples -> void

c_VolumetricFractionalMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> IO () Source #

c_VolumetricFractionalMaxPooling_updateGradInput : state input gradOutput gradInput outputT outputW outputH poolSizeT poolSizeW poolSizeH indices -> void

c_VolumetricFullConvolution_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricFullConvolution_updateOutput : state input output weight bias finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH -> void

c_VolumetricFullConvolution_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricFullConvolution_updateGradInput : state input gradOutput gradInput weight finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH -> void

c_VolumetricFullConvolution_accGradParameters :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO () Source #

c_VolumetricFullConvolution_accGradParameters : state input gradOutput gradWeight gradBias finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH scale -> void

c_VolumetricMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_VolumetricMaxPooling_updateOutput : state input output indices kT kW kH dT dW dH padT padW padH ceilMode -> void

c_VolumetricMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO () Source #

c_VolumetricMaxPooling_updateGradInput : state input gradOutput gradInput indices kT kW kH dT dW dH padT padW padH ceilMode -> void

c_VolumetricMaxUnpooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricMaxUnpooling_updateOutput : state input output indices outputTime outputWidth outputHeight dT dW dH padT padW padH -> void

c_VolumetricMaxUnpooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricMaxUnpooling_updateGradInput : state input gradOutput gradInput indices outputTime outputWidth outputHeight dT dW dH padT padW padH -> void

c_VolumetricAdaptiveMaxPooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricAdaptiveMaxPooling_updateOutput : state input output indices osizeT osizeW osizeH -> void

c_VolumetricAdaptiveMaxPooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> IO () Source #

c_VolumetricAdaptiveMaxPooling_updateGradInput : state input gradOutput gradInput indices -> void

c_VolumetricAdaptiveAveragePooling_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricAdaptiveAveragePooling_updateOutput : state input output osizeT osizeW osizeH -> void

c_VolumetricAdaptiveAveragePooling_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO () Source #

c_VolumetricAdaptiveAveragePooling_updateGradInput : state input gradOutput gradInput -> void

c_VolumetricReplicationPadding_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricReplicationPadding_updateOutput : state input output pleft pright ptop pbottom pfront pback -> void

c_VolumetricReplicationPadding_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricReplicationPadding_updateGradInput : state input gradOutput gradInput pleft pright ptop pbottom pfront pback -> void

c_VolumetricUpSamplingNearest_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_VolumetricUpSamplingNearest_updateGradInput : state input gradOutput gradInput scale_factor -> void

c_VolumetricUpSamplingNearest_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO () Source #

c_VolumetricUpSamplingNearest_updateOutput : state input output scale_factor -> void

c_VolumetricUpSamplingTrilinear_updateOutput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricUpSamplingTrilinear_updateOutput : state input output outputDepth outputHeight outputWidth -> void

c_VolumetricUpSamplingTrilinear_updateGradInput :: Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO () Source #

c_VolumetricUpSamplingTrilinear_updateGradInput : state gradOutput gradInput nbatch nchannels inputDepth inputHeight inputWidth outputDepth outputHeight outputWidth -> void

p_Abs_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Abs_updateOutput : Pointer to function : state input output -> void

p_Abs_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Abs_updateGradInput : Pointer to function : state input gradOutput gradInput -> void

p_AbsCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_AbsCriterion_updateOutput : Pointer to function : state input target output sizeAverage reduce -> void

p_AbsCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_AbsCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage reduce -> void

p_BatchNormalization_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> CDouble -> IO ()) Source #

p_BatchNormalization_updateOutput : Pointer to function : state input_ output_ weight_ bias_ runningMean_ runningVar_ saveMean_ saveStd_ train momentum eps -> void

p_BatchNormalization_backward :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> CDouble -> IO ()) Source #

p_BatchNormalization_backward : Pointer to function : state input_ gradOutput_ gradInput_ gradWeight_ gradBias_ weight_ runningMean_ runningVar_ saveMean_ saveStd_ train scale eps -> void

p_BCECriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> CBool -> IO ()) Source #

p_BCECriterion_updateOutput : Pointer to function : state input target output sizeAverage weights reduce -> void

p_BCECriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> CBool -> IO ()) Source #

p_BCECriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage weights reduce -> void

p_ClassNLLCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO ()) Source #

p_ClassNLLCriterion_updateOutput : Pointer to function : state input target output sizeAverage weights total_weight ignore_index reduce -> void

p_ClassNLLCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO ()) Source #

p_ClassNLLCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage weights total_weight ignore_index reduce -> void

p_DistKLDivCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_DistKLDivCriterion_updateOutput : Pointer to function : state input target output sizeAverage reduce -> void

p_DistKLDivCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_DistKLDivCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage reduce -> void

p_ELU_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO ()) Source #

p_ELU_updateOutput : Pointer to function : state input output alpha scale inplace -> void

p_ELU_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_ELU_updateGradInput : Pointer to function : state gradOutput gradInput output alpha scale -> void

p_FeatureLPPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CInt -> CInt -> CBool -> IO ()) Source #

p_FeatureLPPooling_updateOutput : Pointer to function : state inputTH outputTH power width stride batchMode -> void

p_FeatureLPPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CInt -> CInt -> CBool -> IO ()) Source #

p_FeatureLPPooling_updateGradInput : Pointer to function : state gradOutputTH inputTH outputTH gradInputTH power width stride batchMode -> void

p_HardTanh_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO ()) Source #

p_HardTanh_updateOutput : Pointer to function : state input output min_val max_val inplace -> void

p_HardTanh_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO ()) Source #

p_HardTanh_updateGradInput : Pointer to function : state input gradOutput gradInput min_val max_val inplace -> void

p_GatedLinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_GatedLinear_updateOutput : Pointer to function : state input output dim -> void

p_GatedLinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_GatedLinear_updateGradInput : Pointer to function : state input gradOutput gradInput dim -> void

p_Im2Col_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_Im2Col_updateOutput : Pointer to function : state input output kH kW dH dW padH padW sH sW -> void

p_Im2Col_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_Im2Col_updateGradInput : Pointer to function : state gradOutput gradInput inputHeight inputWidth kH kW dH dW padH padW sH sW -> void

p_Col2Im_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_Col2Im_updateOutput : Pointer to function : state input output outputHeight outputWidth kH kW dH dW padH padW sH sW -> void

p_Col2Im_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_Col2Im_updateGradInput : Pointer to function : state gradOutput gradInput kH kW dH dW padH padW sH sW -> void

p_LeakyReLU_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO ()) Source #

p_LeakyReLU_updateOutput : Pointer to function : state input output negval inplace -> void

p_LeakyReLU_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO ()) Source #

p_LeakyReLU_updateGradInput : Pointer to function : state input gradOutput gradInput negval inplace -> void

p_GRUFused_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_GRUFused_updateOutput : Pointer to function : state input hidden bias1 bias2 hx hy storage -> void

p_GRUFused_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_GRUFused_updateGradInput : Pointer to function : state gradInInput gradInHidden gradOutput gradInputHx storage -> void

p_LSTMFused_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_LSTMFused_updateOutput : Pointer to function : state input hidden bias1 bias2 cx hy cy -> void

p_LSTMFused_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_LSTMFused_updateGradInput : Pointer to function : state storage gradInGates prevC cy gradOutput gradOutputCell gradInputCx -> void

p_LogSigmoid_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_LogSigmoid_updateOutput : Pointer to function : state input output buffer -> void

p_LogSigmoid_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_LogSigmoid_updateGradInput : Pointer to function : state input gradOutput gradInput buffer -> void

p_LogSoftMax_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_LogSoftMax_updateOutput : Pointer to function : state input output dim -> void

p_LogSoftMax_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_LogSoftMax_updateGradInput : Pointer to function : state input gradOutput gradInput output dim -> void

p_LookupTable_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CBool -> CInt -> CDouble -> IO ()) Source #

p_LookupTable_accGradParameters : Pointer to function : state input gradOutput gradWeight count sorted indices scaleGradByFreq paddingValue scale -> void

p_LookupTable_renorm :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_LookupTable_renorm : Pointer to function : state idx weight maxNorm normType -> void

p_LookupTableBag_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> Ptr C'THCIndexTensor -> IO ()) Source #

p_LookupTableBag_updateOutput : Pointer to function : state input offsets weight output offset2bag mode seq_length -> void

p_LookupTableBag_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CBool -> CInt -> Ptr C'THCIndexTensor -> CDouble -> IO ()) Source #

p_LookupTableBag_accGradParameters : Pointer to function : state input gradOutput gradWeight offset2bag count sortedIndices origIndices scaleGradByFreq mode seq_length scale_ -> void

p_L1Cost_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_L1Cost_updateOutput : Pointer to function : state input output -> void

p_L1Cost_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_L1Cost_updateGradInput : Pointer to function : state input gradOutput gradInput -> void

p_MarginCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> IO ()) Source #

p_MarginCriterion_updateOutput : Pointer to function : state input target output sizeAverage margin -> void

p_MarginCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CDouble -> IO ()) Source #

p_MarginCriterion_updateGradInput : Pointer to function : state input target gradInput sizeAverage margin -> void

p_MSECriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_MSECriterion_updateOutput : Pointer to function : state input target output sizeAverage reduce -> void

p_MSECriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_MSECriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage reduce -> void

p_MultiLabelMarginCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_MultiLabelMarginCriterion_updateOutput : Pointer to function : state input target output istarget sizeaverage reduce -> void

p_MultiLabelMarginCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_MultiLabelMarginCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput istarget sizeaverage reduce -> void

p_MultiMarginCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CInt -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO ()) Source #

p_MultiMarginCriterion_updateOutput : Pointer to function : state input target output sizeAverage p weights margin reduce -> void

p_MultiMarginCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CInt -> Ptr C'THCudaDoubleTensor -> CDouble -> CBool -> IO ()) Source #

p_MultiMarginCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage p weights margin reduce -> void

p_PReLU_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_PReLU_updateOutput : Pointer to function : state input output weight -> void

p_PReLU_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_PReLU_updateGradInput : Pointer to function : state input gradOutput gradInput weight -> void

p_PReLU_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO ()) Source #

p_PReLU_accGradParameters : Pointer to function : state input gradOutput gradInput weight gradWeight scale -> void

p_SmoothL1Criterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_SmoothL1Criterion_updateOutput : Pointer to function : state input target output sizeAverage reduce -> void

p_SmoothL1Criterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_SmoothL1Criterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage reduce -> void

p_SparseLinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_SparseLinear_updateOutput : Pointer to function : state input output weight bias -> void

p_SparseLinear_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_SparseLinear_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias weight bias weightDecay scale -> void

p_SparseLinear_legacyUpdateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_SparseLinear_legacyUpdateOutput : Pointer to function : state input output weight bias -> void

p_SparseLinear_legacyAccGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_SparseLinear_legacyAccGradParameters : Pointer to function : state input gradOutput gradWeight gradBias weight bias weightDecay scale -> void

p_SparseLinear_zeroGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_SparseLinear_zeroGradParameters : Pointer to function : state gradWeight gradBias lastInput -> void

p_SparseLinear_updateParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO ()) Source #

p_SparseLinear_updateParameters : Pointer to function : state weight bias gradWeight gradBias lastInput learningRate -> void

p_IndexLinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_IndexLinear_updateOutput : Pointer to function : state keys keysOffset values sizes cumSumSizes output weight bias normalizedValues train -> void

p_IndexLinear_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_IndexLinear_accGradParameters : Pointer to function : state keys keysOffset values sizes cumSumSizes gradOutput gradWeight gradBias weight bias valuesBuffer weightDecay scale -> void

p_IndexLinear_accUpdateGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCIndexTensor -> CLLong -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_IndexLinear_accUpdateGradParameters : Pointer to function : state keys keysOffset values sizes cumSumSizes gradOutput weight bias weightDecay scale -> void

p_IndexLinear_updateParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCIndexTensor -> CLLong -> CDouble -> CDouble -> IO ()) Source #

p_IndexLinear_updateParameters : Pointer to function : state gradWeight gradBias weight bias runningKeys cumSumSizes keysOffset weightDecay learningRate -> void

p_SpatialAdaptiveMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO ()) Source #

p_SpatialAdaptiveMaxPooling_updateOutput : Pointer to function : state input output indices osizeW osizeH -> void

p_SpatialAdaptiveMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> IO ()) Source #

p_SpatialAdaptiveMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices -> void

p_SpatialAdaptiveAveragePooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_SpatialAdaptiveAveragePooling_updateOutput : Pointer to function : state input output osizeW osizeH -> void

p_SpatialAdaptiveAveragePooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_SpatialAdaptiveAveragePooling_updateGradInput : Pointer to function : state input gradOutput gradInput -> void

p_SpatialAveragePooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO ()) Source #

p_SpatialAveragePooling_updateOutput : Pointer to function : state input output kW kH dW dH padW padH ceil_mode count_include_pad -> void

p_SpatialAveragePooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO ()) Source #

p_SpatialAveragePooling_updateGradInput : Pointer to function : state input gradOutput gradInput kW kH dW dH padW padH ceil_mode count_include_pad -> void

p_SpatialClassNLLCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO ()) Source #

p_SpatialClassNLLCriterion_updateOutput : Pointer to function : state input target output sizeAverage weights total_weight ignore_index reduce -> void

p_SpatialClassNLLCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CLLong -> CBool -> IO ()) Source #

p_SpatialClassNLLCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage weights total_weight ignore_index reduce -> void

p_SpatialConvolutionLocal_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> IO ()) Source #

p_SpatialConvolutionLocal_updateOutput : Pointer to function : state input output weight bias finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight -> void

p_SpatialConvolutionLocal_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> IO ()) Source #

p_SpatialConvolutionLocal_updateGradInput : Pointer to function : state input gradOutput gradInput weight finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight -> void

p_SpatialConvolutionLocal_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CLLong -> CLLong -> CLLong -> CLLong -> CDouble -> IO ()) Source #

p_SpatialConvolutionLocal_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias finput fgradInput kW kH dW dH padW padH inputWidth inputHeight outputWidth outputHeight scale -> void

p_SpatialConvolutionMM_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialConvolutionMM_updateOutput : Pointer to function : state input output weight bias columns ones kW kH dW dH padW padH -> void

p_SpatialConvolutionMM_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialConvolutionMM_updateGradInput : Pointer to function : state input gradOutput gradInput weight columns ones kW kH dW dH padW padH -> void

p_SpatialConvolutionMM_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_SpatialConvolutionMM_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH scale -> void

p_SpatialDepthwiseConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialDepthwiseConvolution_updateOutput : Pointer to function : state input output weight bias kW kH dW dH padW padH dilationW dilationH -> void

p_SpatialDepthwiseConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialDepthwiseConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight kW kH dW dH padW padH dilationW dilationH -> void

p_SpatialDepthwiseConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialDepthwiseConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight kW kH dW dH padW padH dilationW dilationH -> void

p_SpatialCrossMapLRN_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CDouble -> CDouble -> CDouble -> IO ()) Source #

p_SpatialCrossMapLRN_updateOutput : Pointer to function : state input output scale size alpha beta k -> void

p_SpatialCrossMapLRN_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CDouble -> CDouble -> CDouble -> IO ()) Source #

p_SpatialCrossMapLRN_updateGradInput : Pointer to function : state input gradOutput gradInput scale output size alpha beta k -> void

p_SpatialDilatedConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialDilatedConvolution_updateOutput : Pointer to function : state input output weight bias columns ones kW kH dW dH padW padH dilationW dilationH -> void

p_SpatialDilatedConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialDilatedConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight columns kW kH dW dH padW padH dilationW dilationH -> void

p_SpatialDilatedConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_SpatialDilatedConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH dilationW dilationH scale -> void

p_SpatialFullDilatedConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialFullDilatedConvolution_updateOutput : Pointer to function : state input output weight bias columns ones kW kH dW dH padW padH dilationW dilationH adjW adjH -> void

p_SpatialFullDilatedConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialFullDilatedConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight columns kW kH dW dH padW padH dilationW dilationH adjW adjH -> void

p_SpatialFullDilatedConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_SpatialFullDilatedConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH dilationW dilationH adjW adjH scale -> void

p_SpatialDilatedMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_SpatialDilatedMaxPooling_updateOutput : Pointer to function : state input output indices kW kH dW dH padW padH dilationW dilationH ceil_mode -> void

p_SpatialDilatedMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_SpatialDilatedMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices kW kH dW dH padW padH dilationW dilationH ceil_mode -> void

p_SpatialFractionalMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_SpatialFractionalMaxPooling_updateOutput : Pointer to function : state input output outputW outputH poolSizeW poolSizeH indices randomSamples -> void

p_SpatialFractionalMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> IO ()) Source #

p_SpatialFractionalMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput outputW outputH poolSizeW poolSizeH indices -> void

p_SpatialFullConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialFullConvolution_updateOutput : Pointer to function : state input output weight bias columns ones kW kH dW dH padW padH adjW adjH -> void

p_SpatialFullConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialFullConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight columns kW kH dW dH padW padH adjW adjH -> void

p_SpatialFullConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_SpatialFullConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias columns ones kW kH dW dH padW padH adjW adjH scale -> void

p_SpatialMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_SpatialMaxPooling_updateOutput : Pointer to function : state input output indices kW kH dW dH padW padH ceil_mode -> void

p_SpatialMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_SpatialMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices kW kH dW dH padW padH ceil_mode -> void

p_SpatialMaxUnpooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO ()) Source #

p_SpatialMaxUnpooling_updateOutput : Pointer to function : state input output indices owidth oheight -> void

p_SpatialMaxUnpooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO ()) Source #

p_SpatialMaxUnpooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices owidth oheight -> void

p_SpatialReflectionPadding_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialReflectionPadding_updateOutput : Pointer to function : state input output padL padR padT padB -> void

p_SpatialReflectionPadding_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialReflectionPadding_updateGradInput : Pointer to function : state input gradOutput gradInput padL padR padT padB -> void

p_SpatialReplicationPadding_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialReplicationPadding_updateOutput : Pointer to function : state input output padL padR padT padB -> void

p_SpatialReplicationPadding_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialReplicationPadding_updateGradInput : Pointer to function : state input gradOutput gradInput padL padR padT padB -> void

p_SpatialSubSampling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialSubSampling_updateOutput : Pointer to function : state input output weight bias kW kH dW dH -> void

p_SpatialSubSampling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialSubSampling_updateGradInput : Pointer to function : state input gradOutput gradInput weight kW kH dW dH -> void

p_SpatialSubSampling_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_SpatialSubSampling_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias kW kH dW dH scale -> void

p_SpatialUpSamplingBilinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_SpatialUpSamplingBilinear_updateOutput : Pointer to function : state input output outputHeight outputWidth -> void

p_SpatialUpSamplingBilinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_SpatialUpSamplingBilinear_updateGradInput : Pointer to function : state gradOutput gradInput nbatch nchannels inputHeight inputWidth outputHeight outputWidth -> void

p_SpatialUpSamplingNearest_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SpatialUpSamplingNearest_updateGradInput : Pointer to function : state input gradOutput gradInput scale_factor -> void

p_SpatialUpSamplingNearest_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SpatialUpSamplingNearest_updateOutput : Pointer to function : state input output scale_factor -> void

p_SpatialGridSamplerBilinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SpatialGridSamplerBilinear_updateOutput : Pointer to function : state input grid output padding_mode -> void

p_SpatialGridSamplerBilinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SpatialGridSamplerBilinear_updateGradInput : Pointer to function : state input gradInput grid gradGrid gradOutput padding_mode -> void

p_VolumetricGridSamplerBilinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_VolumetricGridSamplerBilinear_updateOutput : Pointer to function : state input grid output padding_mode -> void

p_VolumetricGridSamplerBilinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_VolumetricGridSamplerBilinear_updateGradInput : Pointer to function : state input gradInput grid gradGrid gradOutput padding_mode -> void

p_RReLU_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> CBool -> Ptr () -> IO ()) Source #

p_RReLU_updateOutput : Pointer to function : state input output noise lower upper train inplace generator -> void

p_RReLU_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> CBool -> IO ()) Source #

p_RReLU_updateGradInput : Pointer to function : state input gradOutput gradInput noise lower upper train inplace -> void

p_Sigmoid_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Sigmoid_updateOutput : Pointer to function : state input output -> void

p_Sigmoid_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Sigmoid_updateGradInput : Pointer to function : state gradOutput gradInput output -> void

p_SoftMarginCriterion_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_SoftMarginCriterion_updateOutput : Pointer to function : state input target output sizeAverage reduce -> void

p_SoftMarginCriterion_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CBool -> CBool -> IO ()) Source #

p_SoftMarginCriterion_updateGradInput : Pointer to function : state input target gradOutput gradInput sizeAverage reduce -> void

p_SoftMax_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SoftMax_updateOutput : Pointer to function : state input output dim -> void

p_SoftMax_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_SoftMax_updateGradInput : Pointer to function : state input gradOutput gradInput output dim -> void

p_SoftPlus_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_SoftPlus_updateOutput : Pointer to function : state input output beta threshold -> void

p_SoftPlus_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> IO ()) Source #

p_SoftPlus_updateGradInput : Pointer to function : state input gradOutput gradInput output beta threshold -> void

p_SoftShrink_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO ()) Source #

p_SoftShrink_updateOutput : Pointer to function : state input output lambda -> void

p_SoftShrink_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO ()) Source #

p_SoftShrink_updateGradInput : Pointer to function : state input gradOutput gradInput lambda -> void

p_Square_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Square_updateOutput : Pointer to function : state input output -> void

p_Square_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Square_updateGradInput : Pointer to function : state input gradOutput gradInput -> void

p_Sqrt_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> IO ()) Source #

p_Sqrt_updateOutput : Pointer to function : state input output eps -> void

p_Sqrt_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Sqrt_updateGradInput : Pointer to function : state input gradOutput gradInput output -> void

p_Tanh_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Tanh_updateOutput : Pointer to function : state input output -> void

p_Tanh_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_Tanh_updateGradInput : Pointer to function : state gradOutput gradInput output -> void

p_TemporalConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_TemporalConvolution_updateOutput : Pointer to function : state input output weight bias kW dW inputFrameSize outputFrameSize -> void

p_TemporalConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight kW dW -> void

p_TemporalConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CDouble -> IO ()) Source #

p_TemporalConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias kW dW scale -> void

p_TemporalMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalMaxPooling_updateOutput : Pointer to function : state input output indices kW dW -> void

p_TemporalMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices kW dW -> void

p_TemporalRowConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_TemporalRowConvolution_updateOutput : Pointer to function : state input output weight bias finput fgradInput kW dW padW featFirst -> void

p_TemporalRowConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_TemporalRowConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight finput fgradInput kW dW padW featFirst -> void

p_TemporalRowConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CBool -> CDouble -> IO ()) Source #

p_TemporalRowConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias finput fgradInput kW dW padW featFirst scale -> void

p_TemporalReflectionPadding_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalReflectionPadding_updateOutput : Pointer to function : state input output padL padR -> void

p_TemporalReflectionPadding_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalReflectionPadding_updateGradInput : Pointer to function : state input gradOutput gradInput padL padR -> void

p_TemporalReplicationPadding_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalReplicationPadding_updateOutput : Pointer to function : state input output padL padR -> void

p_TemporalReplicationPadding_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> IO ()) Source #

p_TemporalReplicationPadding_updateGradInput : Pointer to function : state input gradOutput gradInput padL padR -> void

p_TemporalUpSamplingLinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_TemporalUpSamplingLinear_updateOutput : Pointer to function : state input output outputWidth -> void

p_TemporalUpSamplingLinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_TemporalUpSamplingLinear_updateGradInput : Pointer to function : state gradOutput gradInput nbatch nchannels inputWidth outputWidth -> void

p_TemporalUpSamplingNearest_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_TemporalUpSamplingNearest_updateGradInput : Pointer to function : state input gradOutput gradInput scale_factor -> void

p_TemporalUpSamplingNearest_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_TemporalUpSamplingNearest_updateOutput : Pointer to function : state input output scale_factor -> void

p_Threshold_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO ()) Source #

p_Threshold_updateOutput : Pointer to function : state input output threshold val inplace -> void

p_Threshold_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CDouble -> CDouble -> CBool -> IO ()) Source #

p_Threshold_updateGradInput : Pointer to function : state input gradOutput gradInput threshold val inplace -> void

p_VolumetricAveragePooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO ()) Source #

p_VolumetricAveragePooling_updateOutput : Pointer to function : state input output kT kW kH dT dW dH padT padW padH ceil_mode count_include_pad -> void

p_VolumetricAveragePooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> CBool -> IO ()) Source #

p_VolumetricAveragePooling_updateGradInput : Pointer to function : state input gradOutput gradInput kT kW kH dT dW dH padT padW padH ceil_mode count_include_pad -> void

p_VolumetricConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricConvolution_updateOutput : Pointer to function : state input output weight bias finput fgradInput dT dW dH padT padW padH -> void

p_VolumetricConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight finput dT dW dH padT padW padH -> void

p_VolumetricConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_VolumetricConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias finput fgradInput dT dW dH padT padW padH scale -> void

p_VolumetricDilatedConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricDilatedConvolution_updateOutput : Pointer to function : state input output weight bias columns ones kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH -> void

p_VolumetricDilatedConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricDilatedConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight columns kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH -> void

p_VolumetricDilatedConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_VolumetricDilatedConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias columns ones kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH scale -> void

p_VolumetricFullDilatedConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricFullDilatedConvolution_updateOutput : Pointer to function : state input output weight bias finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH -> void

p_VolumetricFullDilatedConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricFullDilatedConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH -> void

p_VolumetricFullDilatedConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_VolumetricFullDilatedConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias finput fgradInput kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH adjT adjW adjH scale -> void

p_VolumetricDilatedMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_VolumetricDilatedMaxPooling_updateOutput : Pointer to function : state input output indices kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH ceilMode -> void

p_VolumetricDilatedMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_VolumetricDilatedMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices kT kW kH dT dW dH padT padW padH dilationT dilationW dilationH ceilMode -> void

p_VolumetricFractionalMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_VolumetricFractionalMaxPooling_updateOutput : Pointer to function : state input output outputT outputW outputH poolSizeT poolSizeW poolSizeH indices randomSamples -> void

p_VolumetricFractionalMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> Ptr C'THCIndexTensor -> IO ()) Source #

p_VolumetricFractionalMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput outputT outputW outputH poolSizeT poolSizeW poolSizeH indices -> void

p_VolumetricFullConvolution_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricFullConvolution_updateOutput : Pointer to function : state input output weight bias finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH -> void

p_VolumetricFullConvolution_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricFullConvolution_updateGradInput : Pointer to function : state input gradOutput gradInput weight finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH -> void

p_VolumetricFullConvolution_accGradParameters :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CDouble -> IO ()) Source #

p_VolumetricFullConvolution_accGradParameters : Pointer to function : state input gradOutput gradWeight gradBias finput fgradInput kT kW kH dT dW dH padT padW padH adjT adjW adjH scale -> void

p_VolumetricMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_VolumetricMaxPooling_updateOutput : Pointer to function : state input output indices kT kW kH dT dW dH padT padW padH ceilMode -> void

p_VolumetricMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CBool -> IO ()) Source #

p_VolumetricMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices kT kW kH dT dW dH padT padW padH ceilMode -> void

p_VolumetricMaxUnpooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricMaxUnpooling_updateOutput : Pointer to function : state input output indices outputTime outputWidth outputHeight dT dW dH padT padW padH -> void

p_VolumetricMaxUnpooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricMaxUnpooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices outputTime outputWidth outputHeight dT dW dH padT padW padH -> void

p_VolumetricAdaptiveMaxPooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricAdaptiveMaxPooling_updateOutput : Pointer to function : state input output indices osizeT osizeW osizeH -> void

p_VolumetricAdaptiveMaxPooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCIndexTensor -> IO ()) Source #

p_VolumetricAdaptiveMaxPooling_updateGradInput : Pointer to function : state input gradOutput gradInput indices -> void

p_VolumetricAdaptiveAveragePooling_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricAdaptiveAveragePooling_updateOutput : Pointer to function : state input output osizeT osizeW osizeH -> void

p_VolumetricAdaptiveAveragePooling_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> IO ()) Source #

p_VolumetricAdaptiveAveragePooling_updateGradInput : Pointer to function : state input gradOutput gradInput -> void

p_VolumetricReplicationPadding_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricReplicationPadding_updateOutput : Pointer to function : state input output pleft pright ptop pbottom pfront pback -> void

p_VolumetricReplicationPadding_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricReplicationPadding_updateGradInput : Pointer to function : state input gradOutput gradInput pleft pright ptop pbottom pfront pback -> void

p_VolumetricUpSamplingNearest_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_VolumetricUpSamplingNearest_updateGradInput : Pointer to function : state input gradOutput gradInput scale_factor -> void

p_VolumetricUpSamplingNearest_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> IO ()) Source #

p_VolumetricUpSamplingNearest_updateOutput : Pointer to function : state input output scale_factor -> void

p_VolumetricUpSamplingTrilinear_updateOutput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricUpSamplingTrilinear_updateOutput : Pointer to function : state input output outputDepth outputHeight outputWidth -> void

p_VolumetricUpSamplingTrilinear_updateGradInput :: FunPtr (Ptr C'THCState -> Ptr C'THCudaDoubleTensor -> Ptr C'THCudaDoubleTensor -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> CInt -> IO ()) Source #

p_VolumetricUpSamplingTrilinear_updateGradInput : Pointer to function : state gradOutput gradInput nbatch nchannels inputDepth inputHeight inputWidth outputDepth outputHeight outputWidth -> void