|
Mila
Deep Neural Network Library
|
Layer Normalization component. More...
#include <iostream>#include <sstream>#include <memory>#include <string>#include <vector>#include <type_traits>#include <cstdint>#include <stdexcept>#include <mutex>#include <utility>#include <optional>#include <numeric>#include <algorithm>import Logging.Logger;import Dnn.TensorOps;import Serialization.Tensor;import Serialization.Metadata;import Serialization.ModelArchive;import Compute.CpuMemoryResource;import Compute.MemoryResource;import Compute.ExecutionContext;import Compute.IExecutionContext;import Dnn.TensorHelpers;import Serialization.SafeTensors;import Dnn.Components.LayerNormConfig;import Compute.OperationTraits;import Dnn.Component;import Dnn.TensorDataTypeTraits;import Dnn.ComponentType;import Compute.DeviceType;import Dnn.ITensor;import Dnn.Tensor;import Dnn.TensorTypes;import Compute.ExecutionContextFactory;import Dnn.TensorDataType;import Dnn.TensorPartitioning;import Serialization.Mode;import Compute.Device;import Compute.DeviceId;import Compute.DeviceTypeTraits;Classes | |
| class | Mila::Dnn::LayerNorm< TDeviceType, TPrecision > |
| Device-templated Layer Normalization component. More... | |
Namespaces | |
| namespace | Mila |
| Mila main API namespace. | |
Layer Normalization component.
Normalizes inputs across specified dimensions and applies learned affine transformation (weight and bias). Delegates compute to a device-specific UnaryOperation backend.