Mila 0.13.48
Deep Neural Network Library
Loading...
Searching...
No Matches
Mila::Dnn::Compute::CpuLinearOp Member List

This is the complete list of members for Mila::Dnn::Compute::CpuLinearOp, including all inherited members.

asInputTensor(const ITensor &t)Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, TensorDataType::FP32 >inlineprotectedstatic
asOutputTensor(ITensor &t)Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, TensorDataType::FP32 >inlineprotectedstatic
backward(const ITensor &input, const ITensor &output_grad, ITensor &input_grad) const overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
batch_size_Mila::Dnn::Compute::CpuLinearOpprivate
bias_Mila::Dnn::Compute::CpuLinearOpprivate
bias_grad_Mila::Dnn::Compute::CpuLinearOpprivate
build(const BuildContext &config) overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
clearGradients() noexceptMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
config_Mila::Dnn::Compute::CpuLinearOpprivate
context_Mila::Dnn::Compute::CpuLinearOpprivate
CpuExecutionContext typedefMila::Dnn::Compute::CpuLinearOp
CpuLinearOp(IExecutionContext *context, const LinearConfig &config)Mila::Dnn::Compute::CpuLinearOpinline
data_typeMila::Dnn::Compute::Operation< TDeviceType, TInput >static
DataTypeTraits typedefMila::Dnn::Compute::Operation< TDeviceType, TInput >
device_typeMila::Dnn::Compute::Operation< TDeviceType, TInput >static
enable_omp_Mila::Dnn::Compute::CpuLinearOpprivate
forward(const ITensor &input, ITensor &output) const overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
forwardNaive(const float *X, float *Y, const float *W, const float *B, int64_t batch_size, int64_t in_features, int64_t out_features) constMila::Dnn::Compute::CpuLinearOpinlineprivate
forwardUnrolled(const float *X, float *Y, const float *W, const float *B, int64_t batch_size, int64_t in_features, int64_t out_features) constMila::Dnn::Compute::CpuLinearOpinlineprivate
getConfig() constMila::Dnn::Compute::CpuLinearOpinline
getDataType() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
getDeviceType() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
getName() const overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
getOperationType() const overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
getStateMemorySize() constMila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
in_features_Mila::Dnn::Compute::CpuLinearOpprivate
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
LOOP_UNROLLMila::Dnn::Compute::CpuLinearOpprivatestatic
MR typedefMila::Dnn::Compute::CpuLinearOp
out_features_Mila::Dnn::Compute::CpuLinearOpprivate
setGradients(ITensor *weight_grad, ITensor *bias_grad) overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
setParameters(ITensor *weight, ITensor *bias) overrideMila::Dnn::Compute::CpuLinearOpinlinevirtual
setTrainingMode(TrainingMode training_mode)Mila::Dnn::Compute::Operation< TDeviceType, TInput >inlinevirtual
TensorInputType typedefMila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, TensorDataType::FP32 >
TensorOutputType typedefMila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, TensorDataType::FP32 >
TensorType typedefMila::Dnn::Compute::CpuLinearOp
training_mode_Mila::Dnn::Compute::Operation< TDeviceType, TInput >protected
UnaryOperationBase typedefMila::Dnn::Compute::CpuLinearOp
use_loop_unroll_Mila::Dnn::Compute::CpuLinearOpprivate
weight_Mila::Dnn::Compute::CpuLinearOpprivate
weight_grad_Mila::Dnn::Compute::CpuLinearOpprivate
weight_in_features_Mila::Dnn::Compute::CpuLinearOpprivate
weight_out_features_Mila::Dnn::Compute::CpuLinearOpprivate
~Operation()=defaultMila::Dnn::Compute::Operation< TDeviceType, TInput >virtual
~UnaryOperation()=defaultMila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, TensorDataType::FP32 >virtual