def _serialize_program_v1(
self, program: Program, sweeps: List[Sweep],
repetitions: int) -> Tuple[Dict[str, Any], Dict[str, Any]]:
schedule = self.program_as_schedule(program)
schedule.device.validate_schedule(schedule)
program_descriptor = v1.program_pb2.Program.DESCRIPTOR
program_dict = {} # type: Dict[str, Any]
program_dict['@type'] = TYPE_PREFIX + program_descriptor.full_name
program_dict['operations'] = [
op for op in schedule_to_proto_dicts(schedule)
]
context_descriptor = v1.program_pb2.RunContext.DESCRIPTOR
context_dict = {} # type: Dict[str, Any]
context_dict['@type'] = TYPE_PREFIX + context_descriptor.full_name
context_dict['parameter_sweeps'] = [
sweep_to_proto_dict(sweep, repetitions) for sweep in sweeps
]
return program_dict, context_dict
def run_sweep(
self,
*, # Force keyword args.
program: Union[circuits.Circuit, Schedule],
job_config: Optional[JobConfig] = None,
params: Sweepable = None,
repetitions: int = 1,
priority: int = 500,
processor_ids: Sequence[str] = ('xmonsim',)) -> 'EngineJob':
"""Runs the supplied Circuit or Schedule via Quantum Engine.
In contrast to run, this runs across multiple parameter sweeps, and
does not block until a result is returned.
Args:
program: The Circuit or Schedule to execute. If a circuit is
provided, a moment by moment schedule will be used.
job_config: Configures the names of programs and jobs.
params: Parameters to run with the program.
repetitions: The number of circuit repetitions to run.
priority: The priority to run at, 0-100.
processor_ids: The engine processors to run against.
Returns:
An EngineJob. If this is iterated over it returns a list of
TrialResults, one for each parameter sweep.
"""
job_config = self.implied_job_config(job_config)
schedule = self.program_as_schedule(program)
# Check program to run and program parameters.
if not 0 <= priority < 1000:
raise ValueError('priority must be between 0 and 1000')
schedule.device.validate_schedule(schedule)
# Create program.
sweeps = _sweepable_to_sweeps(params or ParamResolver({}))
program_dict = {} # type: Dict[str, Any]
program_dict['parameter_sweeps'] = [
sweep_to_proto_dict(sweep, repetitions) for
sweep in sweeps]
program_dict['operations'] = [op for op in
schedule_to_proto_dicts(schedule)]
code = {
'@type': 'type.googleapis.com/cirq.api.google.v1.Program'}
code.update(program_dict)
request = {
'name': 'projects/%s/programs/%s' % (job_config.project_id,
job_config.program_id,),
'gcs_code_location': {'uri': job_config.gcs_program},
'code': code,
}
response = self.service.projects().programs().create(
parent='projects/%s' % job_config.project_id,
body=request).execute()
# Create job.
request = {
'name': '%s/jobs/%s' % (response['name'], job_config.job_id),
'output_config': {
'gcs_results_location': {
'uri': job_config.gcs_results
}
},
'scheduling_config': {
'priority': priority,
'processor_selector': {
'processor_names': [
'projects/%s/processors/%s' %
(job_config.project_id, processor_id)
for processor_id in processor_ids
]
}
},
}
response = self.service.projects().programs().jobs().create(
parent=response['name'], body=request).execute()
return EngineJob(job_config, response, self)
def test_sweep_to_proto_fail(bad_sweep):
with pytest.raises(ValueError):
params.sweep_to_proto_dict(bad_sweep)
def test_sweep_to_proto_dict(sweep, expected):
proto = params.sweep_to_proto_dict(sweep)
out = params.sweep_from_proto_dict(proto)
assert out == expected
