pymc.ode.DifferentialEquation.perform#
- DifferentialEquation.perform(node, inputs_storage, output_storage)[source]#
Calculate the function on the inputs and put the variables in the output storage.
- Parameters:
- node
The symbolic Apply node that represents this computation.
- inputs
Immutable sequence of non-symbolic/numeric inputs. These are the values of each Variable in
node.inputs
.- output_storage
List of mutable single-element lists (do not change the length of these lists). Each sub-list corresponds to value of each Variable in
node.outputs
. The primary purpose of this method is to set the values of these sub-lists.
Notes
The output_storage list might contain data. If an element of output_storage is not
None
, it has to be of the right type, for instance, for a TensorVariable, it has to be a NumPyndarray
with the right number of dimensions and the correct dtype. Its shape and stride pattern can be arbitrary. It is not guaranteed that such pre-set values were produced by a previous call to thisOp.perform()
; they could’ve been allocated by another Op’s perform method. An Op is free to reuse output_storage as it sees fit, or to discard it and allocate new memory.