Mila 0.13.48
Deep Neural Network Library
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Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision > Member List

This is the complete list of members for Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >, including all inherited members.

asInputTensor(const ITensor &t)Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >inlineprotectedstatic
asOutputTensor(ITensor &t)Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >inlineprotectedstatic
backward(const ITensor &input, const ITensor &output_grad, ITensor &input_grad) const overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
build(const BuildContext &config) overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
cached_axis_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
cached_dim_size_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
cached_inner_size_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
cached_outer_size_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
clearGradients() noexceptMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
config_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
context_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
CudaExecutionContext typedefMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >
CudaSoftmaxOp(IExecutionContext *context, const SoftmaxConfig &config)Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inline
data_typeMila::Dnn::Compute::Operation< TDeviceType, TInput >static
DataTypeTraits typedefMila::Dnn::Compute::Operation< TDeviceType, TInput >
device_typeMila::Dnn::Compute::Operation< TDeviceType, TInput >static
forward(const ITensor &input, ITensor &output) const overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
getConfig() constMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inline
getDataType() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
getDeviceType() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
getName() const overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
getOperationType() const overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
getStateMemorySize() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
impl_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
is_built_Mila::Dnn::Compute::Operation< TDeviceType, TInput >protected
isBuilt() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
isEvalMode() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
MR typedefMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >
NativeType typedefMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >
setGradients(ITensor *weight_grad, ITensor *bias_grad)Mila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
setParameters(ITensor *weight, ITensor *bias) overrideMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >inlinevirtual
setTrainingMode(TrainingMode training_mode)Mila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
TensorInputType typedefMila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >
TensorOutputType typedefMila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >
TensorType typedefMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >
training_mode_Mila::Dnn::Compute::Operation< TDeviceType, TInput >protected
UnaryOperationBase typedefMila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >
use_optimized_kernel_Mila::Dnn::Compute::Cuda::Softmax::CudaSoftmaxOp< TPrecision >private
~Operation()=defaultMila::Dnn::Compute::Operation< TDeviceType, TInput >virtual
~UnaryOperation()=defaultMila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >virtual