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Mila 0.13.48
Deep Neural Network Library
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Exported Modules | |
| module | Compute.IExecutionContext |
| module | Dnn.TensorDataTypeTraits |
| module | Serialization.ModelArchive |
| module | Dnn.TensorTypes |
| module | Dnn.TensorInitializers |
| module | Compute.OperationRegistry |
| module | Logging.Logger |
| module | Compute.DeviceId |
| module | Compute.Device |
| module | Dnn.Tensor |
| module | Dnn.TensorOps |
| module | Compute.ExecutionContextFactory |
| module | Serialization.Tensor |
| module | Dnn.Component |
| module | Compute.CpuMemoryResource |
| module | Dnn.TensorPartitioning |
| module | Dnn.ComponentType |
| module | Dnn.TensorDataType |
| module | Compute.UnaryOperation |
| module | Compute.DeviceType |
| module | Dnn.ITensor |
| module | Serialization.Mode |
| module | Compute.ExecutionContext |
| module | Compute.MemoryResource |
| module | Dnn.TensorHelpers |
| module | Compute.DeviceTypeTraits |
Classes | |
| class | Mila::Dnn::LayerNorm< TDeviceType, TPrecision > |
| Device-templated Layer Normalization component. More... | |
| class | Mila::Dnn::LayerNormConfig |
Typedefs | |
| using | ComponentBase = Component<TDeviceType, TPrecision> |
| using | MR = typename DeviceTypeTraits<TDeviceType>::memory_resource |
| using | TensorType = Tensor<TPrecision, MR> |
Functions | |
| LayerNorm (const std::string &name, const LayerNormConfig &config, std::optional< DeviceId > device_id=std::nullopt) | |
| Construct LayerNorm with optional ExecutionContext ownership. | |
| ~LayerNorm () override=default | |
| TensorType & | backward (const TensorType &input, const TensorType &output_grad) |
| Run backward pass and return a reference to the component-owned input-gradient tensor. | |
| dim_t | computeNormalizedFeatureCount (const shape_t &input_shape) const |
| void | createOperation () |
| TensorType & | forward (const TensorType &input) |
| Run forward pass and return a reference to the component-owned output tensor. | |
| DeviceId | getDeviceId () const override |
| Get the compute device id associated with this component. | |
| std::vector< ITensor * > | getGradients () const override |
| Return non-owning pointers to parameter gradient tensors. | |
| MemoryStats | getMemoryStats () const override |
| Return the current memory allocation breakdown for this component. | |
| std::vector< ITensor * > | getParameters () const override |
| Return non-owning pointers to parameter tensors. | |
| const ComponentType | getType () const override |
| Get the component type identifier. | |
| void | initializeGradients () |
| void | initializeParameters (const shape_t &input_shape) |
| Single parameter allocation routine. | |
| void | loadParameter (const std::string &name, const ITensorBlob &blob) override |
| Load a parameter from serialized tensor data. | |
| void | onBuilding (const BuildContext &context) override |
| Hook invoked during build() to initialize component with input shape. | |
| void | onExecutionContextSet () override |
| Hook invoked after ExecutionContext is set. | |
| void | onTrainingModeChanging (TrainingMode training_mode) override |
| Hook invoked when training mode is about to change. | |
| size_t | parameterCount () const override |
| Return number of trainable parameters. | |
| void | save_ (ModelArchive &archive, SerializationMode mode) const override |
| void | synchronize () override |
| Wait for outstanding device work submitted by this component. | |
| std::string | toString () const override |
| Produce a short, human-readable description of the component. | |
| void | validateBuildContext (const BuildContext &context) const |
| void | validateInputShape (const shape_t &input_shape) const |
| void | zeroGradients () override |
| Clear all model-owned gradients for this component. | |
Variables | |
| std::shared_ptr< TensorType > | bias_ { nullptr } |
| std::shared_ptr< TensorType > | bias_grad_ { nullptr } |
| LayerNormConfig | config_ |
| std::unique_ptr< TensorType > | input_grad_ { nullptr } |
| std::shared_ptr< UnaryOperation< TDeviceType, TPrecision > > | operation_ { nullptr } |
| std::unique_ptr< TensorType > | output_ { nullptr } |
| std::optional< TensorType > | output_view_ |
| std::unique_ptr< IExecutionContext > | owned_exec_context_ { nullptr } |
| std::shared_ptr< TensorType > | weight_ { nullptr } |
| std::shared_ptr< TensorType > | weight_grad_ { nullptr } |
Files | |
| file | /__w/Mila/Mila/Mila/Src/Dnn/Components/Normalization/LayerNorm/LayerNorm.ixx |
| Layer Normalization component. | |
| file | /__w/Mila/Mila/Mila/Src/Dnn/Components/Normalization/LayerNorm/LayerNorm.Config.ixx |
| Configuration for Layer Normalization component. | |