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Mila
Deep Neural Network Library
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Exported Modules | |
| module | Dnn.TensorTypes |
| module | Dnn.Components.AttentionOutputGateConfig |
| module | Dnn.TensorDataType |
| module | Dnn.Components.ActivationConfig |
| module | Dnn.ActivationType |
| module | Dnn.ComponentType |
| module | Dnn.TensorOps |
| module | Serialization.Metadata |
| module | Compute.OperationTraits |
| module | Compute.Device |
| module | Dnn.Tensor |
| module | Compute.DeviceId |
| module | Dnn.TensorDataTypeTraits |
| module | Serialization.ModelArchive |
| module | Compute.CpuMemoryResource |
| module | Dnn.Component |
| module | Compute.ExecutionContextFactory |
| module | Compute.IExecutionContext |
| module | Compute.DeviceTypeTraits |
| module | Compute.DeviceAllocation |
| module | Compute.Observation |
| module | Dnn.Components.Activation |
| module | Dnn.ITensor |
| module | Serialization.Mode |
| module | Compute.DeviceType |
Classes | |
| class | Mila::Dnn::AttentionOutputGate< TDeviceType, TPrecision, TGate > |
| Elementwise gate over two same-shaped inputs: out = TGate(gate) * value. More... | |
Files | |
| file | Mila/Src/Dnn/Components/Attention/OutputGate/AttentionOutputGate.ixx |
| Gate on the attention output: out = TGate(gate) * value, two separate inputs. | |