Accera v1.2 Reference

accera.create_parameter_grid(parameter_choices, [filter_func, sample, seed])

Create a parameter grid from a dictionary that maps each parameter to its possible values.

Arguments

argument	description	type/default
parameter_choices	A dictionary that maps each parameter to its possible values	dictionary
filter_func	A callable to filter parameter_choices which returns a bool to indicate whether a given parameter combination should be included in the grid	Callable
sample	A number to limit the size of the parameter grid. The grid is randomly sampled.	integer
seed	The seed value for random sampling.	integer

Returns

List of dictionary

Examples

Create a parameter grid from a dictionary that maps each parameter to its possible values:

parameters = acc.create_parameter_grid(parameter_choices={P0:[8,16], P1:[16,32], P2:[16], P3:[1.0,2.0]})
package.add(nest, args=(A, B, C), base_name="matmul", parameters)

Define a lambda or function to filter out combinations from the parameter grid. The arguments to the filter are the values of a parameter combination. The filter function should return True if the combination should be included, and False otherwise:

parameters = acc.create_parameter_grid(parameter_choices={P0:[8,16], P1:[16,32], P2:[16], P3:[1.0,2.0]}, filter_func=lambda p0, p1, p2, p3: p2 < p1 and 4 * (p0 * p3 + p1 * p2 + p1 * p3 + p2 * p3) / 1024 < 256)

Parameter grids can result in a large number of possible combinations. We can limit the number of combinations by random sampling:

parameters = acc.create_parameter_grid(parameter_choices={P0:[8,16], P1:[16,32], P2:[16], P3:[1.0,2.0]}, sample=5)

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Last update: 2023-04-17