# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Simulator utils."""
def _thread_balance(n_prs, n_meas, parallel_worker):
"""Thread balance."""
if parallel_worker is None:
parallel_worker = n_meas * n_prs
if n_meas * n_prs <= parallel_worker:
batch_threads = n_prs
mea_threads = n_meas
else:
if n_meas < n_prs:
batch_threads = min(n_prs, parallel_worker)
mea_threads = min(n_meas, max(1, parallel_worker // batch_threads))
else:
mea_threads = min(n_meas, parallel_worker)
batch_threads = min(n_prs, max(1, parallel_worker // mea_threads))
return batch_threads, mea_threads
[文档]class GradOpsWrapper: # pylint: disable=too-many-instance-attributes
"""
Wrapper the gradient operator that with the information that generate this gradient operator.
Args:
grad_ops (Union[FunctionType, MethodType]): A function or a method
that return forward value and gradient w.r.t parameters.
hams (Hamiltonian): The hamiltonian that generate this grad ops.
circ_right (Circuit): The right circuit that generate this grad ops.
circ_left (Circuit): The left circuit that generate this grad ops.
encoder_params_name (list[str]): The encoder parameters name.
ansatz_params_name (list[str]): The ansatz parameters name.
parallel_worker (int): The number of parallel worker to run the batch.
"""
def __init__(
self, grad_ops, hams, circ_right, circ_left, encoder_params_name, ansatz_params_name, parallel_worker
): # pylint: disable=too-many-arguments
"""Initialize a GradOpsWrapper object."""
self.grad_ops = grad_ops
self.hams = hams
self.circ_right = circ_right
self.circ_left = circ_left
self.encoder_params_name = encoder_params_name
self.ansatz_params_name = ansatz_params_name
self.parallel_worker = parallel_worker
self.str = ''
def __call__(self, *args):
"""Definition of a function call operator."""
return self.grad_ops(*args)
[文档] def set_str(self, grad_str):
"""
Set expression for gradient operator.
Args:
grad_str (str): The string of QNN operator.
"""
self.str = grad_str