dondata

Class which is used to implement data for DeepONets (don).

dondata

Bases: data

Class for data on purely spatial problems with a deep operator network.

__init__(domain, boundaries, n_clp=10000, n_bc=600, n_sensors=100)

Constructor for class

Parameters:
  • domain (domain) –

    Domain to generate data on.

  • boundaries (boundaries) –

    Boundary to generate data on.

  • n_clp (int, default: 10000 ) –

    Number of collocation points.

  • n_bc (int, default: 600 ) –

    Number of boundary condition points.

  • n_sensors (int, default: 100 ) –

    Number of sensors to sample u with.

generate_sensors()

Function to generate sensors for network.

Returns:
  • tensor –

    Sampled sensors.

get_clp()

Returns:
  • tensor –

    Sampled collocation points.

get_bcp()

Returns:
  • tensor –

    Sampled boundary points.

get_domain()

Returns:
  • domain –

    Domain data is generated on.

get_boundaries()

Returns:
  • boundaries –

    Boundary data is generated on.

get_n_clp()

Returns:
  • int –

    Number of collocation points sampled.

get_n_bc()

Returns:
  • int –

    Number of boundary points sampled.

get_n_sensors()

Returns:
  • int –

    Number of sensors sampled.

get_sensors()

Returns:
  • tensor –

    Sampled sensors.