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Mila 0.13.48
Deep Neural Network Library
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Device-dispatching random initialization for tensors. More...
#include <concepts>#include <span>#include <cstdint>import Compute.ExecutionContext;import Dnn.TensorOps.Base;import Dnn.TensorDataTypeTraits;import Dnn.TensorDataType;import Compute.DeviceType;import Dnn.Tensor;Namespaces | |
| namespace | Mila |
| Mila main API namespace. | |
| namespace | Mila::Dnn |
Functions | |
| template<TensorDataType TDataType, typename TMemoryResource> requires isValidTensor<TDataType, TMemoryResource> | |
| void | Mila::Dnn::fill_normal (Tensor< TDataType, TMemoryResource > &tensor, float mean, float stddev, IExecutionContext *exec_context=nullptr) |
| template<TensorDataType TDataType, typename TMemoryResource> requires isValidTensor<TDataType, TMemoryResource> | |
| void | Mila::Dnn::fill_uniform (Tensor< TDataType, TMemoryResource > &tensor, host_value_t< TDataType > min_val, host_value_t< TDataType > max_val, IExecutionContext *exec_context=nullptr) |
Device-dispatching random initialization for tensors.
Provides fill_normal and fill_uniform entry points, forwarding to device-specific implementations (CPU, CUDA). For CUDA, uses cuRAND for efficient device-side fill.