22 Setting tensor implementations

8.16.0.4

22 Setting tensor implementations🔗ℹ

package: malt

procedure
(set-impl impl) → void
impl : (one-of/c 'learner 'nested-tensors 'flat-tensors)

Sets the tensor implementation to the named implementation (one of 'learner, 'nested-tensors, or 'flat-tensors).

The change in implementation will take effect the next time Racket process is re-started. The most convenient way to switch implementations is to do it from the shell command line. For example, to set the implementation to 'flat-tensors.

$ racket -e "(require malt/set-impl) (set-impl 'flat-tensors)"

1	Overview
2	Entry points
3	List functions
4	Tensor functions
5	Extended Functions
6	Automatic Differentiation
7	Differentiable extended numerical functions
8	Non-differentiable extended numerical functions
9	Base-rank (non-extended) differentiable functions
10	Boolean comparison functions
11	Tensorized comparison functions
12	Hyperparameters
13	Gradient Descent Functions and Hyperparameters
14	Layer functions
15	Loss Functions
16	Building blocks for neural networks
17	He Initialization
18	Random number functions
19	Models and Accuracy
20	Logging
21	Utilities
22	Setting tensor implementations