PyTorchDiscriminator.train

PyTorchDiscriminator.train(data, weights, penalty=True, quantum_instance=None, shots=None)[source]

Perform one training step w.r.t. to the discriminator’s parameters

Parameters

  • data (tuple) – real_batch: torch.Tensor, Training data batch. generated_batch: numpy array, Generated data batch.

  • weights (tuple) – real problem, generated problem

  • penalty (bool) – Indicate whether or not penalty function is applied to the loss function.

  • quantum_instance (QuantumInstance) – Quantum Instance (depreciated)

  • shots (int) – Number of shots for hardware or qasm execution. Not used for classical network (only quantum ones)

Returns

with Discriminator loss (torch.Tensor) and updated parameters (array).

Return type

dict